Cummins ISX15 For EPA 2010
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PACCAR 产品简介PACCARPACCAR 简介⏹佩卡集团于1905年成立于美国华盛顿州贝尔维尤。
除美国之外,还在加拿大、墨西哥、澳大利亚、英国、荷兰设有生产工厂。
⏹佩卡集团于1958年收购了Peterbilt 公司,1980年兼并了英国Foden,1996年兼并荷兰DAF,1998年兼并英国利兰(Leyland)载重车有限公司,因此上升到全球重型卡车产量第三的位置。
⏹佩卡集团7、8 级卡车品牌有Kenworth(肯沃思)、Peterbilt(彼德比尔特)、DAF (达夫)等。
另外,佩卡集团在俄克拉何马州生产工业绞盘。
•8级重型货车•主营产品•员工超过2万人万辆市场影响公司名称7级中型货车•5-7级货车•4-7级载重汽车•年产约10•全球重型货车生产量第三•6-8级载重货车全线产品•美国优质载重车的霸主•美国重型货车市场占10%左右份额•主营货车及底盘•在美国有“货车中的凯迪拉克”之称•在美国重型货车市场上占有11%的份额⏹佩卡公司依托Kenworth、Peterbilt和DAF品牌向全世界推出8级重型卡车。
⏹佩卡公司还在北美投放7级中型卡车。
⏹另外,DAF 在荷兰和比利时生产5~8 级卡车,在欧洲、中东和非洲销售。
⏹佩卡集团在美国密西西比州建设发动机工厂,生产MX系列发动机,以达到自产发动机匹配集团内卡车的目的。
Peterbilt Kenworth DAFPACCAR Engine MX-13MX-11PR PX-9PX-7 Bore×Stroke(mm)130×162123×152118×140114×145107×124Displacement(L)12.910.89.28.9 6.7 Compression ratio17.7:117.5:117.4:1Dry WeightDry Weight(lbs./kg)2600/1179/1025/8601695/7691151/522Horsepower380510290440249360260450200360(hp)380-510290-440249-360260-450200-360Peak Torque lb ft/N 1450-1850/19652500885-1550/12002100775-1070/10501450720-1250/9761695520-800/7051085(lb.-ft./N.m)1965-25001200-21001050-1450976-1695705-1085No.1 DAF 产品部分DAF 产品系列XFCF LF XF XF 10CF 85CF 75CF 65LF 55LF 45LF 55新XF XF 105CF 85 CF 75 CF 65 LF 55 LF 45 LF 55(19t )MX-13/11Engine PX-7Engine PR Engine MX-13 Engine408~510hp PX-5 Engine PX-7 Engine PX-7Engine Space Cab Sleeper Cab Super Space CabS C b Sleeper Cab D C b Sleeper CabDay Cab Space Cab Day CabDAF车型应用领域农用车( 运奶车,运畜车,收获物运车…): CF 系列长途车:XF CF85系列LF:城市区域配送CF :更全面,更重配送车CF :重载工地用车特种车(救火车工程车LF :工地间材料轻载运输XF :工地重载运输特种车(救火车,救护车,轿运车,长途重载运输,运木车):CF 系列XF 系列市政车:4×2 6×2 8×2 CF 系列PACCAR New rear axlesA new, robust SR1344 rear axle is also being introduced on the new XF. This hasbeen fully optimised for weight and has been specifically developed for use with theconstruction A feature of the new axle is its low noise level The lower oil Stabilink construction. A feature of the new axle is its low noise level. The lower oillevel (10 instead of 15 litres) means a fuel saving and lower costs for oil changeswithin international transportation.The SR1344axle has a load capacity of13tonnes and is fitted as standard onThe SR1344 axle has a load capacity of 13 tonnes and is fitted as standard oncombination weights of up to 44 tonnes and engine torques up to 2,300 Nm.In order to completely customise therear axle for specific applications, finalp pp,reductions are available from 2.38:1.The SR1344 axle uses a new designof bevel pinion and crown wheelsaving 50 kilograms in weight.i50kil i i htFor high combination weights (morethan 44 tonnes) and on vehicles withthe 375 kW/510 hp engine, thethe375kW/510hp engine theupdated SR1347 axle has a lower oillevel, meaning as favorable a fuelp pconsumption as possible and loweroperational costs.DAF车型Cab系列-New XFDAF车型Cab系列-CFDAF车型Cab系列-New XF/CFNo.2 Kenworth产品部分Kenworth 产品系列级别Class 8T880T680T700T660W900T800C500车型Engines MX-13600hp PX-9PX-7级别Class 7Class 6Class 5T T T T T 车型T470T440T370K370T270K270T170MX-13Engines PX-9PX-7T880 SPECIFICATIONSPower / Drivetraing,,,• PACCAR MX-13 Engine, 12.9 Liter, 380-500 HP,1450 –1850 lb-ft of Torque• Cummins ISX15 Engine, 14.9 Liter, 450-600 HP,1450 –2050 lb-ft of Torque• CARB Emission Reduction Feature AvailableTransmission Options• Eaton Fuller FRO16210C 10-Speed• Clutch -Eaton Fuller• Eaton Fuller 9, 10, 13, 15 & 18 Speed Manual and Automated Transmissions• Allison 5, 6 & 7 Speed Automatic Transmissions• PTO Options: REPTO and Factory Installed Transmission Mounted PTOs•PTO Options:REPTO and Factory Installed Transmission Mounted PTOsFrame / Axle / Suspension / Brakes• Frame -10 5/8" Steel -120,000 psi -Heat TreatedFrame 10 3/4 Steel 132,000 psi Heat Treated•Frame-103/4”Steel-132000psi-Heat Treated• Frame –11 5/8” Steel -132,000 psi -Heat Treated• Front Axles -Dana Spicer, 12,000 lb.p• Front Axles -Dana Spicer 12,000 to 22,000 lbs.• Front Springs -Taperleaf w/Shocks, 12,000 lb.• Front Springs -Taperleaf w/Shocks, 12,000, 13,200,14,600, 16,000, 18,0000, 20,000 and 22,000 lb.T880 SPECIFICATIONSFrame / Axle / Suspension / BrakesRear Axle Dana Spicer, 40,000 lb. Tandem•Rear Axle-Dana Spicer40000lb Tandem• Single Rear Axles -Dana Spicer from 16,000 to 30,000 lb.• Tandem Rear Axles -Dana Spicer, 40,000 and 52,000 lb.•Tandem Rear Axles-40000and44000lbTandem Rear Axles Meritor, 40,000 and 44,000 lb.• Tridem Rear Axles -Dana Spicer, 69,000 and 78,000 lb.• Rear Suspension -Reyco102, 38,000 lb. Tandem•Single Rear Axle Suspensions-,Reyco and Hendrickson with capacities fromSingle Rear Axle Suspensions Kenworth, Reyco and Hendrickson with capacities from20,000 to 31,000 lbs.• Dual Rear Axle Suspensions -Kenworth, Reyco, Hendrickson,Chalmers and Neway with capacities up to 52,000 lbs.capacities up to52,000lbs.• Tridem Rear Axle Suspensions -Kenworth, Hendrickson,and Neway with capacities up to 69,000 lbs.• Brakes -Air• Brakes -Air Disc• ABS System -Bendix• ACT and ESP availableT880 SPECIFICATIONSCab / Hood / InteriorCab Stamped Aluminum•Cab–Stamped Aluminum• Hood -5-Piece Metton-Sloped Vocational HoodT880 Hood (122.5” BBC) -5-Piece with Bolt on FendersT880MX Hood (116.5 BBC) 5Piece with Bolt on Fenders T880MX Hood(1165”BBC)–5-Piece with Bolt on Fenders • Complex Reflector Halogen Headlamps• Aerodynamic Heated Mirrors•Adjustable Telescoping Tilt Steering ColumnAdjustable Telescoping Tilt Steering Column• Standard Vantage Vinyl Headliner and Cab Back Panel• Diamond VIT Deluxe Interior•Kenworth GT702Air-Cushion Plus High Back Driver SeatKenworth GT702 Air Cushion Plus High Back Driver Seat• Kenworth GT701 High Back Toolbox Plus Rider Seat• Power Door Locks• Passenger-side Electric Windowg• 3-Window Back of Cab Window Option• Full Burl Wood Dash Panels• Workstation Between SeatsKenworth产品特征–T680KENWORTH K270 AND K370 DIMENSIONSKENWORTH K270 AND K370 MEDIUM DUTY CABOVER SPECIFICATIONSPACCAR Engine•PACCAR PX-76-Cylinder67L EPA2013Gross Axle Weight Rating•K270Front10000lbsPACCAR PX7 6Cylinder, 6.7 L, EPA 2013• 220HP@2400, 520@1600• 240HP@2400, 560@1600• 250HP@2400, 660@1600K270 Front 10,000 lbs.• K370 Front 12,000 lbs.• K270 Rear 16,000 lbs.• K370 Rear 21,000 lbs.@@Engine Equipment• Alternator -160 Amp• K270 Transmission -Allison5-Speed 2100 HS• Rear Axle Ratio 5.29 or 5.57• Rear Axle Ratio 4.63 with 19.5 ″Tires Suspensions• K370 Transmission -Allison 5-Speed 2500 HS • Allison 3000HS 5 Speed Transmission• Allison RDS Series TransmissionAlli6S d T i i • Front Suspension -Parabolic Spring• Rear Suspension -Reyco Mechanical• Rear Suspension -Hendrickson HAS210 or HAS230Ai Rid• Allison 6 Speed Transmissions• Fuel Tank -45 Gallon, Rectangular • Dual 45 Gallon Rectangular Fuel Tanks •DEF Tank-75Gallon RectangularHAS230 Air RideCab• Hydraulic 55 Degree Tilting Steel Cab• K270/K370 78.6” Top of Frame Rail to Top of Cab –DEF Tank -7.5 Gallon, Rectangular • Exhaust -Horizontal Crossover DPF/SCR w/Horizontal Tailpipe• Two PACCAR 700 CCA Batteries/p p22.5” Tires• K270/K370 52.2” Bumper to Center of Front Axle –22.5” Tires•825”Cab Width• Two PACCAR 1000 CCA Batteries • 82.5 Cab Width• Driver Seat -Air Suspension• Passenger Seat -2-Person Bench • Passenger Seat -Single Person Air RideNo.3 Peterbilt产品部分车型多为定制化,展示部分仅为式样车型w a yO n H i g hd i u m D u t yM ea t i o n a lV o c类别(用途)On Highway(高速重型卡车)579587389386384382车型EnginesMX-13PX-9PX-7类别(用途)Vocational(特种车辆)车型567389382367365348320MX-13Engines PX-9PX-7类别(用途)Alternative Fuels(代用燃料卡车)579567384382365337330车型EnginesMX-13PX-9PX-7类别(用途)Alternative Fuels Medium Duty(中型卡车)车型320348337330325220/210ISL 9Engines PX-9PX-7。
IEEE POWER ENGINEERING SOCIETYPower System Analysis, Computing and Economics CommitteeSubcommittee Chairs ChairMARTIN L. BAUGHMANProfessor EmeritusThe University of Texas at Austin5703 Painted Valley DriveAustin, TX 78759Vox: 512-345-8255Fax: 512-345-9880baughman@Vice ChairCHEN-CHING LIUDept. of Electrical Eng.University of WashingtonBox 352500Seattle, WA 98195Vox: 206-543-2198Fax: 206-543-3842liu@SecretaryROGER C. DUGANSr. ConsultantElectrotek Concepts, Inc.408 N Cedar Bluff RdKnoxville, TN 37923Vox: 865-470-9222Fax: 865-470-9223r.dugan@Computer & Analytical Methods EDWIN LIU, ChairNexant, Inc.101, 2nd street, 11FSan Francisco CA 94105Vox: 415-369-1088Fax: 415-369-0894exliu@Distribution Systems Analysis SANDOVAL CARNEIRO, JR, ChairDept. of Electrical Engineering Federal Univ. of Rio de Janeiro Rio de Janeiro, RJ, BrazilVox: 55-21-25628025Fax: 55-21-25628628 sandoval@coep.ufrj.br Intelligent System Applications DAGMAR NIEBUR, Chair Department of ECEDrexel University3141 Chestnut Street Philadelphia, PA 19104Vox: (215) 895 6749Fax: (215) 895 1695niebur@ Reliability, Risk & Probability ApplicationsJAMES D. MCCALLEY, Chair Iowa State UniversityRoom 2210 Coover Hall Ames, Iowa 50011Vox: 515-294-4844Fax: 515-294-4263jdm@Systems EconomicsROSS BALDICK, ChairECE Dept. , ENS 502The University of Texas at Austin Austin, TX 78712Vox: 512-471-5879Fax: 512-471-5532baldick@Past ChairJOANN V. STARONNexant Inc/ PCA1921 S. Alma School Road Suite 207Mesa, AZ 85210Vox: 480-345-7600Fax: 480-345-7601joann.staron@Distribution System Analysis Subcommittee IEEE 13 Node TestFeederIEEE 13 Node Test Feeder652680Overhead Line Configuration Data:Underground Line Configuration Data:Line Segment Data:Transformer Data:Capacitor Data:Regulator Data:Spot Load Data:Distributed Load Data:IEEE 13 NODE TEST FEEDERImpedances Configuration 601:Z (R +jX) in ohms per mile0.3465 1.0179 0.1560 0.5017 0.1580 0.4236 0.3375 1.0478 0.1535 0.38490.3414 1.0348B in micro Siemens per mile6.2998 -1.9958 -1.25955.9597 -0.74175.6386 Configuration 602:Z (R +jX) in ohms per mile0.7526 1.1814 0.1580 0.4236 0.1560 0.5017 0.7475 1.1983 0.1535 0.38490.7436 1.2112B in micro Siemens per mile5.6990 -1.0817 -1.69055.1795 -0.65885.4246Configuration 603:Z (R +jX) in ohms per mile0.0000 0.0000 0.0000 0.0000 0.0000 0.00001.3294 1.3471 0.2066 0.45911.3238 1.3569B in micro Siemens per mile0.0000 0.0000 0.00004.7097 -0.89994.6658 Configuration 604:Z (R +jX) in ohms per mile1.3238 1.3569 0.0000 0.0000 0.2066 0.45910.0000 0.0000 0.0000 0.00001.3294 1.3471B in micro Siemens per mile4.6658 0.0000 -0.89990.0000 0.00004.7097Configuration 605:Z (R +jX) in ohms per mile0.0000 0.0000 0.0000 0.0000 0.0000 0.00000.0000 0.0000 0.0000 0.00001.3292 1.3475B in micro Siemens per mile0.0000 0.0000 0.00000.0000 0.00004.5193 Configuration 606:Z (R +jX) in ohms per mile0.7982 0.4463 0.3192 0.0328 0.2849 -0.0143 0.7891 0.4041 0.3192 0.03280.7982 0.4463B in micro Siemens per mile96.8897 0.0000 0.000096.8897 0.000096.8897Configuration 607:Z (R +jX) in ohms per mile1.3425 0.5124 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.00000.0000 0.0000B in micro Siemens per mile88.9912 0.0000 0.00000.0000 0.00000.0000Power-Flow Results- R A D I A L F L O W S U M M A R Y - DATE: 6-24-2004 AT 15:33: 2 HOURS --- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- SYSTEM PHASE PHASE PHASE TOTALINPUT -------(A)-------|-------(B)-------|-------(C)-------|------------------ kW : 1251.398 | 977.332 | 1348.461 | 3577.191kVAr : 681.570 | 373.418 | 669.784 | 1724.772kVA : 1424.968 | 1046.241 | 1505.642 | 3971.289PF : .8782 | .9341 | .8956 | .9008LOAD --(A-N)----(A-B)-|--(B-N)----(B-C)-|--(C-N)----(C-A)-|---WYE-----DELTA-- kW : 785.6 385.0| 424.0 625.7| 692.5 553.4| 1902.1 1564.0TOT : 1170.563 | 1049.658 | 1245.907 | 3466.128| | |kVAr : 393.0 220.0| 313.0 358.1| 447.9 369.5| 1153.9 947.7TOT : 613.019 | 671.117 | 817.450 | 2101.586| | |kVA : 878.4 443.4| 527.0 720.9| 824.8 665.4| 2224.8 1828.7TOT : 1321.367 | 1245.865 | 1490.137 | 4053.481| | |PF : .8943 .8682| .8045 .8679| .8397 .8316| .8550 .8553TOT : .8859 | .8425 | .8361 | .8551LOSSES ------(A)-------|-------(B)-------|-------(C)-------|------------------ kW : 39.107 | -4.697 | 76.653 | 111.063kVAr : 152.585 | 42.217 | 129.850 | 324.653kVA : 157.517 | 42.478 | 150.787 | 343.124CAPAC --(A-N)----(A-B)-|--(B-N)----(B-C)-|--(C-N)----(C-A)-|---WYE-----DELTA-- R-kVA: 200.0 .0| 200.0 .0| 300.0 .0| 700.0 .0TOT : 200.000 | 200.000 | 300.000 | 700.000| | |A-kVA: 193.4 .0| 222.7 .0| 285.3 .0| 701.5 .0TOT : 193.443 | 222.747 | 285.276 | 701.466--- V O L T A G E P R O F I L E ---- DATE: 6-24-2004 AT 15:33:12 HOURS ---- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- NODE | MAG ANGLE | MAG ANGLE | MAG ANGLE |mi.to SR ------------------------------------------------------------------------------- ______|_______ A-N ______ |_______ B-N _______ |_______ C-N _______ |650 | 1.0000 at .00 | 1.0000 at -120.00 | 1.0000 at 120.00 | .000 RG60 | 1.0625 at .00 | 1.0500 at -120.00 | 1.0687 at 120.00 | .000 632 | 1.0210 at -2.49 | 1.0420 at -121.72 | 1.0174 at 117.83 | .379 633 | 1.0180 at -2.56 | 1.0401 at -121.77 | 1.0148 at 117.82 | .474 XFXFM1| .9941 at -3.23 | 1.0218 at -122.22 | .9960 at 117.35 | .474 634 | .9940 at -3.23 | 1.0218 at -122.22 | .9960 at 117.34 | .474 645 | | 1.0329 at -121.90 | 1.0155 at 117.86 | .474 646 | | 1.0311 at -121.98 | 1.0134 at 117.90 | .530 671 | .9900 at -5.30 | 1.0529 at -122.34 | .9778 at 116.02 | .758 680 | .9900 at -5.30 | 1.0529 at -122.34 | .9778 at 116.02 | .947 684 | .9881 at -5.32 | | .9758 at 115.92 | .815 611 | | | .9738 at 115.78 | .871 652 | .9825 at -5.25 | | | .966 692 | .9900 at -5.31 | 1.0529 at -122.34 | .9777 at 116.02 | .852 675 | .9835 at -5.56 | 1.0553 at -122.52 | .9758 at 116.03 | .947 p 1----------- VOLTAGE REGULATOR DATA ---- DATE: 6-24-2004 AT 15:33:16 HOURS -- SUBSTATION: IEEE 13; FEEDER: IEEE 13 _______________________________________________________________________________ [NODE]--[VREG]-----[SEG]------[NODE] MODEL OPT BNDW 650 RG60 632 632 Phase A & B & C, Wye RX 2.00 ........................................................................ PHASE LDCTR VOLT HOLD R-VOLT X-VOLT PT RATIO CT RATE TAP1 122.000 3.000 9.000 20.00 700.00 102 122.000 3.000 9.000 20.00 700.00 83 122.000 3.000 9.000 20.00 700.00 11- R A D I A L P O W E R F L O W --- DATE: 6-24-2004 AT 15:33:27 HOURS --- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- NODE VALUE PHASE A PHASE B PHASE C UNT O/L< (LINE A) (LINE B) (LINE C) 60.% ---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 650 VOLTS: 1.000 .00 1.000 -120.00 1.000 120.00 MAG/ANG kVll 4.160 NO LOAD OR CAPACITOR REPRESENTED AT SOURCE NODETO NODE RG60 <VRG>..: 593.30 -28.58 435.61 -140.91 626.92 93.59 AMP/DG < <RG60 > LOSS= .000: ( .000) ( .000) ( .000) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: RG60 VOLTS: 1.062 .00 1.050 -120.00 1.069 120.00 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE 650 <VRG>: 558.40 -28.58 414.87 -140.91 586.60 93.59 AMP/DG < <RG60 > LOSS= .000: ( .000) ( .000) ( .000) kWTO NODE 632 .......: 558.40 -28.58 414.87 -140.91 586.60 93.59 AMP/DG < <632 > LOSS= 59.716: ( 21.517) ( -3.252) ( 41.451) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 632 VOLTS: 1.021 -2.49 1.042 -121.72 1.017 117.83 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE RG60 .....: 558.41 -28.58 414.87 -140.91 586.60 93.59 AMP/DG < <632 > LOSS= 59.716: ( 21.517) ( -3.252) ( 41.451) kWTO NODE 633 .......: 81.33 -37.74 61.12 -159.09 62.70 80.48 AMP/DG <633 > LOSS= .808: ( .354) ( .148) ( .306) kWTO NODE 645 .......: 143.02 -142.66 65.21 57.83 AMP/DG < <645 > LOSS= 2.760: ( 2.540) ( .220) kWTO NODE 671 .......: 478.29 -27.03 215.12 -134.66 475.50 99.90 AMP/DG < <671 > LOSS= 35.897: ( 10.484) ( -6.169) ( 31.582) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 633 VOLTS: 1.018 -2.56 1.040 -121.77 1.015 117.82 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE 632 .....: 81.33 -37.74 61.12 -159.09 62.71 80.47 AMP/DG <633 > LOSS= .808: ( .354) ( .148) ( .306) kWTO NODE XFXFM1.......: 81.33 -37.74 61.12 -159.09 62.71 80.47 AMP/DG < <XFXFM1> LOSS= 5.427: ( 2.513) ( 1.420) ( 1.494) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: XFXFM1 VOLTS: .994 -3.23 1.022 -122.22 .996 117.35 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll .480 CAP: .00 .00 .00 kVRFROM NODE 633 .....: 704.83 -37.74 529.73 -159.09 543.45 80.47 AMP/DG < <XFXFM1> LOSS= 5.427: ( 2.513) ( 1.420) ( 1.494) kWTO NODE 634 .......: 704.83 -37.74 529.73 -159.09 543.45 80.47 AMP/DG < <634 > LOSS= .000: ( .000) ( .000) ( .000) kW- R A D I A L P O W E R F L O W --- DATE: 6-24-2004 AT 15:33:27 HOURS --- SUBSTATION: IEEE 13; FEEDER: IEEE 13 ------------------------------------------------------------------------------- NODE VALUE PHASE A PHASE B PHASE C UNT O/L< (LINE A) (LINE B) (LINE C) 60.% ---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 634 VOLTS: .994 -3.23 1.022 -122.22 .996 117.34 MAG/ANG Y-LD: 160.00 110.00 120.00 90.00 120.00 90.00 kW/kVRkVll .480 Y CAP: .00 .00 .00 kVRFROM NODE XFXFM1.....: 704.83 -37.74 529.73 -159.09 543.45 80.47 AMP/DG < <634 > LOSS= .000: ( .000) ( .000) ( .000) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 645 VOLTS: 1.033 -121.90 1.015 117.86 MAG/ANG Y-LD: 170.00 125.00 .00 .00 kW/kVRkVll 4.160 Y CAP: .00 .00 kVRFROM NODE 632 .....: 143.02 -142.66 65.21 57.83 AMP/DG < <645 > LOSS= 2.760: ( 2.540) ( .220) kWTO NODE 646 .......: 65.21 -122.17 65.21 57.83 AMP/DG <646 > LOSS= .541: ( .271) ( .270) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 646 VOLTS: 1.031 -121.98 1.013 117.90 MAG/ANG D-LD: 240.66 138.12 .00 .00 kW/kVRkVll 4.160 Y CAP: .00 .00 kVRFROM NODE 645 .....: 65.21 -122.18 65.21 57.82 AMP/DG <646 > LOSS= .541: ( .271) ( .270) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 671 VOLTS: .990 -5.30 1.053 -122.34 .978 116.02 MAG/ANG D-LD: 385.00 220.00 385.00 220.00 385.00 220.00 kW/kVRkVll 4.160 Y CAP: .00 .00 .00 kVRFROM NODE 632 .....: 470.20 -26.90 186.41 -131.89 420.64 101.66 AMP/DG < <671 > LOSS= 35.897: ( 10.484) ( -6.169) ( 31.582) kWTO NODE 680 .......: .00 .00 .00 .00 .00 .00 AMP/DG <680 > LOSS= .000: ( -.001) ( .001) ( .000) kWTO NODE 684 .......: 63.07 -39.12 71.15 121.62 AMP/DG <684 > LOSS= .580: ( .210) ( .370) kWTO NODE 692 .......: 229.11 -18.18 69.61 -55.19 178.38 109.39 AMP/DG <692 > LOSS= .008: ( .003) ( -.001) ( .006) kW---------------------*--------A-------*-------B-------*-------C-------*-------- NODE: 680 VOLTS: .990 -5.30 1.053 -122.34 .978 116.02 MAG/ANG -LD: .00 .00 .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 .00 kVRFROM NODE 671 .....: .00 .00 .00 .00 .00 .00 AMP/DG <680 > LOSS= .000: ( -.001) ( .001) ( .000) kWp 3- R A D I A L P O W E R F L O W --- DATE: 6-24-2004 AT 15:33:27 HOURS ---SUBSTATION: IEEE 13; FEEDER: IEEE 13-------------------------------------------------------------------------------NODE VALUE PHASE A PHASE B PHASE C UNT O/L<(LINE A) (LINE B) (LINE C) 60.%---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 684 VOLTS: .988 -5.32 .976 115.92 MAG/ANG-LD: .00 .00 .00 .00 kW/kVRkVll 4.160 CAP: .00 .00 kVRFROM NODE 671 .....: 63.07 -39.12 71.15 121.61 AMP/DG<684 > LOSS= .580: ( .210) ( .370) kWTO NODE 611 .......: 71.15 121.61 AMP/DG<611 > LOSS= .382: ( .382) kWTO NODE 652 .......: 63.07 -39.12 AMP/DG<652 > LOSS= .808: ( .808) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 611 VOLTS: .974 115.78 MAG/ANGY-LD: 165.54 77.90 kW/kVRkVLL 4.160 Y CAP: 94.82 kVRFROM NODE 684 .....: 71.15 121.61 AMP/DG<611 > LOSS= .382: ( .382) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 652 VOLTS: .983 -5.25 MAG/ANGY-LD: 123.56 83.02 kW/kVRkVll 4.160 Y CAP: .00 kVRFROM NODE 684 .....: 63.08 -39.15 AMP/DG<652 > LOSS= .808: ( .808) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 692 VOLTS: .990 -5.31 1.053 -122.34 .978 116.02 MAG/ANGD-LD: .00 .00 .00 .00 168.37 149.55 kW/kVRkVll 4.160 Y CAP: .00 .00 .00 kVRFROM NODE 671 .....: 229.11 -18.18 69.61 -55.19 178.38 109.39 AMP/DG<692 > LOSS= .008: ( .003) ( -.001) ( .006) kWTO NODE 675 .......: 205.33 -5.15 69.61 -55.19 124.07 111.79 AMP/DG <<675 > LOSS= 4.136: ( 3.218) ( .345) ( .573) kW---------------------*--------A-------*-------B-------*-------C-------*--------NODE: 675 VOLTS: .983 -5.56 1.055 -122.52 .976 116.03 MAG/ANGY-LD: 485.00 190.00 68.00 60.00 290.00 212.00 kW/kVRkVll 4.160 Y CAP: 193.44 222.75 190.45 kVRFROM NODE 692 .....: 205.33 -5.15 69.59 -55.20 124.07 111.78 AMP/DG <<675 > LOSS= 4.136: ( 3.218) ( .345) ( .573) kWThe Institute of Electrical and Electronics Engineers, Inc.。
Analysis of Polynuclear Aromatic Hydrocarbons (PAHs)in Wastewater by GC/MSAnila I Khan,Rob Bunn,Tony Edge,Thermo Fisher Scientific,Runcorn,Cheshire,UKIntroductionUS EPA method 610is an analytical GC/MS method used for determining a range of polynuclear aromatic hydro-carbons (PAHs)in municipal and industrial wastewater.This method was developed by the US Environmental Protection Agency to monitor industrial and municipal discharges under 40CFR 136.1.EPA method 610was performed using a splitlessinjection mode on a Thermo Scientific TRACE GC coupled to a Thermo Scientific Ion Trap mass spectrometer.The Thermo Scientific TraceGOLD TG-5SilMS column provides excellent performance for the analysis of PAHs,in accordance with EPA method 610.It can also be used for the analysis of PAHS for EPA method 8100.GoalTo demonstrate the suitability and performance ofTraceGOLD™TG-5SilMS for the analysis of EPA method 610;PAHs in wastewater.Experimental detailsThe PAHs stated in the EPA method 610were run on a TRACE™GC fitted with a TriPlus autosampler.The Ion trap mass spectrometer was used in a segmented mode to allow precise control of groups of ions for improved ion statistics and ion ratios.The column used for analysis of the series of PAHs was a low polarity silarylene phase,with selectivity comparable to a 5%diphenyl/95%di-methyl polysiloxane phase.The data was acquired and processed using Thermo Scientific Xcalibur data handling software.6108100Thermo Scientific TriPlus Autosampler Sample volume1µLTRACE GC Ultra Oven Program60°C (5min),8°C/min,300°C (10min)Equilibration Time 0.5minInjector 275°C,Splitless (1min)Split Flow 30mL/minColumn FlowHelium,1.5mL/min (constant flow)Transfer Line Temperature300°CThermo Scientific Ion Trap MS MS TypeITD 230LT (250L turbo pump)MS Source Temperature 225°C MS Source Current 250µA Electron Energy 70eV Filament Delay 5minMS Aquisition ModeEI+,45-450amu Segmented ScanConsumablesPart Number BTO 17mm septa313032113mm ID Focus Liner,105mm long 45350032Liner graphite seal 2903340610µL,80mm Syringe36502019Graphite ferrules to fit0.32mm id columns29053487Graphite/vespel 0.25mm ID ferrules for GC/MS interface 290334962mL clear vial and Si/PTFE seal60180-599Sample preparationA pre-mixed 1ng/µL of PAHs standard solution prepared in dichloromethane and benzene was used for the analysis.ColumnPart Number TraceGOLD TG-5SilMS,30m ×0.25mm ×0.25µm,26096-1420Guard Column 2m ×0.32mm 260RG497Press-Fit Union64000-001IS 12IS3IS IS54678910111213IS151614Time(min)。
第25卷 第2期 石油化工高等学校学报 V o l .25 N o.22012年4月 J O U R N A L O F P E T R O C H E M I C A L U N I V E R S I T I E S A p ==================================================r .2012 文章编号:1006-396X (2012)02-0001-04功能化S B A-15在药物阿司匹林缓释的动力学模型张晓彤, 梁俊虎,任 创, 葛翠年, 段林海, 宋丽娟*(辽宁石油化工大学辽宁省石油化工重点实验室,辽宁抚顺113001)摘 要: 采用两种介孔分子筛(S B A-15和S B A-15-N H 2)分别对水溶性药物阿司匹林进行药物吸附与释放的对比研究,利用F T-I R ,U V 等手段对样品结构㊁药物装载和释放过程进行表征㊂同时,运用K o r s m e y e r -P e p -p a s 和H i gu c h i 模型分别对药物缓释体系进行动力学研究㊂结果表明,氨基改性后S B A-15对阿司匹林的吸附量由14.2%提高到19.5%,且释放时间更长㊂S B A-15-A S P 缓释系统的释放动力学过程遵循F i c k 扩散机理,而S B A -15-N H 2-A S P 释放过程遵循非F i c k 扩散机理㊂关键词: S B A-15; 阿司匹林;药物缓释; 动力学模型中图分类号: T E 12 文献标识码:A d o i :10.3969/j.i s s n .1006-396X.2012.02.001R e l e a s eK i n e t i cM o d e l S t u d i e s o f F u n c t i o n a l i z e d M e s o po r o u s M a t e r i a l sS B A-15a sA s pi r i nC a r r i e r s Z H A N G X i a o -t o n g ,L I A N GJ u n -h u ,R E N C h u a n g,G EC u i -n i a n ,D U A N L i n -h a i ,S O N GL i -ju a n *(L i a o n i n g K e y L a b o r a t o r y o f P e t r o c h e m i c a lE n g i n e e r i n g ,L i a o n i n g S h i h u aU n i v e r s i t y ,F u s h u nL i a o n i n g 113001,P .R .C h i n a )R e c e i v e d 13D e c e m b e r 2011;r e v i s e d 12J a n u a r y 2012;a c c e p t e d 16J a n u a r y 2012A b s t r a c t : M e s o p o r o u sm a t e r i a l sS B A-15a n dS B A-15-N H 2w e r e i n v e s t i g a t e da s t h ew a t e r -i n s o l u b l ea s pi r i nc a r r i e r f o r c o n t r o l l e dd r u g d e l i v e r y .T h es a m p l e ss t r u c t u r e ,d r u g l o a d i n g a n dr e l e a s e p r o f i l e s w e r ec h a r a c t e r i z e db y m e a n so fF o u r i e r t r a n s f o r mi n f r a r e ds p e c t r o s c o p y (F T-I R )a n d U V-s p e c t r o p h o t o m e t e r (U V ),m e a n t i m e t h er e l e a s ek i n e t i c sw e r ea n a l y z e d u s i n g f o l l o w i n g m a t h e t h e m a t i c a l m o d e l s K o r s m e y e r-P e p p a se q u a t i o na n d H i g u c h ie qu a t i o n .T h er e s u l t ss h o w t h a tt h e a d s o r p t i o n c a p a c i t y a n d r e l e a s e p r o p e r t i e s o f S B A-15f o r d r u g m o l e c u l e s c a nb e i m p r o v e db y f u n c t i o n a l i z i n g i t s s u r f a c e sw i t h a m i n e g r o u p s ,t h ea d s o r p t i o no f a s p i r i n f r o m14.2%t o19.5%.T h e r e l e a s e p r o c e s so fS B A-15-A s pi r i n f o l l o waF i c k i a n d i f f u s i o nm e c h a n i s m ,a n dS B A-15-N H 2-A s p i r i n f o l l o waN o n -F i c k i a nd i f f u s i o nm e c h a n i s m.K e y wo r d s : S B A-15;A s p i r i n ;D r u g d e l i v e r y ;K i n e t i cm o d e l *C o r r e s p o n d i n g a u t h o r .T e l .:+86-24-56860658;e -m a i l :l s o n g56@263.n e t 介孔分子筛具有较好的水热稳定性㊁机械性能稳定㊁较高的比表面积㊁无生物活性㊁无生理毒性等优点,符合作为药物释放载体的基本要求㊂因此,近年来,介孔分子筛在药物缓释方面的应用已成为材收稿日期:2011-12-13作者简介:张晓彤(1970-),男,辽宁抚顺市,副教授,在读博士㊂基金项目:国家自然科学基金资助项目(20976077);辽宁省教育厅资助项目(2008T 110,2007R 29)㊂*通讯联系人㊂料科学领域的一个热点课题㊂Z h a oD 等[1]首次以三嵌段聚合物P 123为模板,在强酸条件下合成了S B A-15介孔分子筛后,受到广大研究者的高度关注,在药物缓释方面进行了广泛的应用㊂Y a n g Q[2]和S o n g S W 等[3]运用聚合物阳离子和聚合物阴离子与功能化S B A-15形成了p H 刺激相应性药物缓释系统,通过离子间的相互作用力来吸附与控释药物;F a gu n d e sLB 等[4]在S B A-15中引入胶原质,用于控释药物阿替洛尔,均达到了良好的控制释放效果㊂本实验设计以氨基改性后的介孔分子筛S B A -15-N H2作为载体材料,用于水溶性药物阿司匹林的吸附与缓释的研究㊂分别利用k o r s m e y e r-p e p p a s和H i g u c h i模型对S B A-15-N H2-A S P 进行动力学研究,进而建立动力学模型㊂1 实验部分1.1 主要试剂和仪器阿司匹林(a s p i r i n)(纯度99%,美国A l f a公司);P123(分析纯,美国A l d r i c h);3-氨丙基三乙氧基硅烷(纯度99%,美国A C RÕS公司);正硅酸乙酯(T E O S)(分析纯,沈阳第一试剂厂);浓盐酸(分析纯,沈阳化学试剂厂);无水乙醇㊁正己烷㊁磷酸氢二钾㊁磷酸二氢钾(分析纯,国药集团化学试剂有限公司)㊂真空干燥箱(D Z F-6020型,上海精宏实验设备有限公司);红外光谱仪(S p e c t r u m G X型,美国P E公司),紫外分光光度计(U V-1801型,北京北分瑞利分析仪器有限公司)㊂1.2 材料的合成1.2.1 S B A-15的合成 按照经典的合成法,根据Z h a oD等[1]科学家的报道,以聚乙二醇-聚丙二醇-聚乙二醇三嵌段共聚物(相对平均分子质量为5800,简称P123)为模板剂,以正硅酸乙酯(T E O S)为硅源,将混合物按物质的量比n(S i O2)/n(P123)/n (H C l)/n(H2O)=1∶0.017∶2.9∶202.6进行混合,40℃加热搅拌24h,然后在100℃密闭的反应釜中晶化48h,抽滤,蒸馏水与无水乙醇进行交错洗涤数次,自然干燥后于550℃下焙烧6h㊂1.2.2 S B A-15-N H2的合成 利用合成后改性法,将氨基嫁接到介孔分子筛孔道内部㊂具体的合成方法为:称取焙烧后适量的S B A-15与3-氨丙基三乙氧基硅烷置于80m L干燥的正己烷溶液中,室温下搅拌24h后,将得到的白色粉末用正己烷冲洗3次,再在50℃的真空烘箱中干燥,得到S B A-15-N H2㊂1.3 样品的表征F T-I R分析采用K B r压片制样,在美国P E S p e c t r u mG X型红外分析仪上测定㊂1.4 药物的装载过程药物装载过程:在室温下,分别将一定量改性前后的S B A-15加入到20m L阿司匹林的无水乙醇溶液中(其质量浓度为30m g/m L),搅拌,直到用紫外分光光度计测得的溶液质量浓度保持不变后,抽滤㊂再用无水乙醇洗涤白色粉末状样品一遍,去除粘附在表面的阿司匹林,在室温下风干㊂分别得到阿司匹林的缓释体系S B A-15-A S P和S B A-15-NH2-A S P㊂1.5 药物的释放过程分别称取0.02g的S B A-15-A S P与S B A-15-N H2-A S P加入到80m L p H=7.4的磷酸盐缓冲溶液中,在37℃条件下于圆底烧瓶中搅拌,每隔一段时间后静置㊂当悬浮沉淀清晰后,取3.0m L 清晰的溶液到石英比色皿中,在222n m波长下用紫外分光光度计扫描吸收强度后,再将其返回至烧瓶中㊂继续搅拌,依照上述方法继续测得其在不同时间段的吸收峰㊂2 结果与讨论2.1 药物的吸附图1为阿司匹林的3D结构图,从这个模型可知,阿司匹林的分子尺寸大约为0.58n m×0.83 n m,属于小分子型药物,小于载体材料的孔径(S B A -15为7.6n m,S B A-15-N H2为6.8n m),易于被吸附进入其孔道内㊂同时,阿司匹林分子结构中含有 C O O H基团与S i O H,-N H2相互结合在分子筛孔道内壁㊂因此,说明阿司匹林是一种理想的目标药物,容易被载体吸附㊂F i g.1 T h r e e-d i m e n s i o n a l a s p i r i nm o l e c u l ew i t hc o r r e s p o nd i n g i n te r a t o m i c d i s t a n c e s图1 阿司匹林分子的3D结构图及其对应的原子间距离 图2为样品的傅里叶红外谱图㊂由图2的红外谱图可以看出,S B A-15在1070c m-1处为S i O S i的不对称伸缩振动峰,在800c m-1处为对称弯曲振动峰㊂结果表明,纯硅介孔S B A-15分子筛中氧化硅骨架的存在㊂在3000~3500c m-1处出现的较宽的特征峰对应于S B A-15分子筛表面的硅羟基S i O H,在960c m-1为S i O H弯曲振动峰㊂后嫁接法对S B A-15氨基改性后,在1527 c m-1处出现一处小峰,归结为N-H键的非对称弯曲振动峰[5],充分说明了后嫁接法能够将氨基基团成功的嫁接到S B A-15分子筛的表面㊂纯的阿司匹林在1747c m-1处为 C O O H中C O的伸缩振动吸收峰,S B A-15装载阿司匹林后,在16522石油化工高等学校学报 第25卷c m-1处出现了强的C O伸缩振动吸收峰㊂这是因为S B A-15的S i O H与阿司匹林分子中的 C O O H互相作用形成的氢键,使C O吸收峰由1753c m-1红移到此处[6]㊂在S B A-15-N H2 -A S P的红外光谱图中,S B A-15-N H2在1527 c m-1处得弯曲振动吸收峰消失,而在1637c m-1出现强的吸收峰归属于 C O O-1的伸缩振动峰,这是由于S B A-15-N H2与阿司匹林相互间的离子作用形成了C O O--N H+3键[7]㊂结合图1和图2分析可知,阿司匹林已成功地被介孔分子筛S B A-15和S B A-15-N H2吸附到孔道内壁上㊂F i g.2 F T-I Rs p e c t r a o f s a m p l e s图2 样品的傅里叶红外谱图表1为S B A-15与S B A-15-N H2对目标药物阿司匹林的最大负载量㊂由表1可知,S B A-15对阿司匹林有较好的装载能力,将其功能化后载药量提高了37%,说明表面功能化对药物的吸附能力起到了决定性作用㊂这主要是由于S B A-15孔道内嫁接氨基基团后与阿司匹林的活性基团之间的离子作用引起的㊂S A B-15功能化前后均比Z e n g W 等[8]M C M-41氨基修饰前后对阿司匹林的载药量(11%和14%)有明显的提高㊂表1 S B A-15与S B A-15-N H2对目标药物阿司匹林的最大负载量T a b l e1 T h em a x i m a l a m o u n t o f l o a d i n g a s p i r i n f o r t h e S B A-15a n dS B A-15-N H2s a m p l e s%样品名称阿司匹林最大负载量*S B A-1514.2S B A-15-N H219.5注:*阿司匹林最大负载量=ΔC㊃V m㊃100%,其中:ΔC 为载药前后阿司匹林的浓度差,V为加入阿司匹林溶液的体积,m为载体的质量㊂2.2 药物的释放图3为阿司匹林从载体材料中缓释的累积释放量随时间变化关系㊂由图3可以看出,载体材料S B A-15和S B A-15-NH2都对药物有控制缓释的能力㊂在S B A-15-A S P缓释体系中,缓释10h 时释放量已经接近90%;S B A-15-N H2-A S P缓释体系中,缓释10h仅释放出56%,最终的释放量也不足80%,说明S B A-15功能化后对药物阿司匹林的缓释速度明显减缓了㊂S B A-N H2-A S P 缓释体系能够实现阿司匹林在人体内缓慢释放,以满足人体长时间连续用药的需求㊂F i g.3 C r u v e o f a s p i r i n r e l e a s e图3 阿司匹林缓释曲线为了分析缓释过程的机理,通常运用动力学模型来描述缓释动力学机理,而K o r s m e y e r-P e p p a s 模型和H i g u c h i模型是用来分析药物在多孔材料中缓释最为理想的模型[9]㊂两种模型的数学表达式为:K o r s m e y e r-P e p p a s模型: Q=K t nH i g u c h i模型:Q=K t1/2其中,Q为药物在时间t的累积释放量,K为动力学常数,n为扩散常数㊂由n来决定动力学机理:当n ≤0.45时,药物释放机理符合F i c k扩散机理;当0.45<n<0.89时,符合非F i c k扩散机理;当n≥0.89时,符合以骨架溶蚀为主的机理㊂表2为阿司匹林缓释的动力学模型参数㊂表2 阿司匹林缓释的动力学模型参数T a b l e2 P a r a m e t e r s o f d i f f e r e n t k i n e t i c sm o d e l f o rA s p i r i n r e l e a s e样品H i g u c h i模型KK o r s m e y e r-P e p p a s模型K nS B A-1533.6926.980.4329 S B A-15-N H219.4911.790.58583第2期 张晓彤等.功能化S B A-15在药物阿司匹林缓释的动力学模型图4为K o r s m e y e r-P e p p a s模型拟合曲线,从图4中可知,阿司匹林从S B A-15和S B A-15-N H2释放全过程中,累积释放量的对数与时间对数之间具有较好的线性关系㊂由表2可知,在S B A-15-A S P缓释体系中K o r s m e y e r-P e p p a s模型拟合结果n=0.4329,小于0.45,说明该体系缓释的释放动力学过程符合F i c k扩散机理;而在S B A-15 -N H2-A S P缓释体系中n=0.5858,大于0.45,说明该体系的释放动力学过程符合非F i c k扩散机理㊂S B A-15功能化后其缓释机理发生了变化,这主要是由于纯的S B A-15中S i-O H与阿司匹林之间的相互作用力比较弱,但是将其功能化后表面嫁接的-N H2与阿司匹林相互之间会产生强的离子作用㊂图5为H i g u c h i模型拟合曲线,从图5中可以看出,当累积释放量Q<70%时,阿司匹林从缓释体系中缓释出来的过程中累积释放量与时间的平方根成良好的线性关系,说明该过程遵循F i c k扩散机理㊂F i g.4 L i n e a r r e l a t i o n s h i p o f t h e l n(c u m u l a t i v e r e l e a s eo fA s p i r i n Q)v e r s u s l n(t i m e)i n t h eK o r s m e y e r-P e p p a sm o d e l图4 K o r s m e y e r-P e p p a s模型中l n Q与l n(t/h)的线性关系F i g.5 L i n e a r r e l a t i o n s h i p o f t h e c u m u l a t i v e r e l e a s e o f A s p i r i n Q(Q<70%)v e r s u s s q u a r e r o o t o ft h e t i m e i n t h eH i g u c h im o d e l图5 H i g u c h i模型中阿司匹林的累积释放量Q(Q<70%) 与时间的平方根的线性关系参考文献[1] Z h a oD,F e n g J,H u oQ,e t a l.T r i b l o c kc o p o l y m e r s y n t h e s e so fm e s o p o r o u ss i l i c aw i t h p e r i o d i c50t o300A n g s t r o mP o r e s[J].S c i e n c e,1998,279:548-552.[2] Y a n g Q,W a n g S,F a nP,e t a l.p H-R e s p o n s i v e c a r r i e r s y s t e mb a s e d o n c a r b o x y l i c a c i dm o d i f i e dm e s o p o r o u s s i l i c a a n dp o l y e l e c t r o l y t e f o r d r u g d e l i v e r y[J].C h e m i s t r y o fm a t e r i a l s,2005,17(24):5999-6003.[3] S o n g S W,H i d a j a tK,K a w iS.p H-C o n t r o l l a b l ed r u g r e l e a s eu s i n g h y d r o g e le n c a p s u l a t e d m e s o p o r o u ss i l i c a[J].C h e m i c a l c o mm u n i c a t i o n s,2007(42):4396-4398.[4] F a g u n d e sLB,S o u s aT G F,S o u s aA,e t a l.S B A-15-c o l l a g e nh y b r i d m a t e r i a l f o rd r u g d e l i v e r y a p p l i c a t i o n s[J].J o u r n a l o f n o n-c r y s t a l l i n e s o l i d s,2006,352:3496-3501.[5] 陈雷,张翻,邵新超,等.改性介孔分子筛对布洛芬的吸附与控制释放[J].化学工业与工程,2011,28(4):11-15.[6] 孙丽娜,张晓彤,宋丽娟,等.功能化S B A-15-N H2在药物布洛芬吸附与控制释放的研究[J].石油化工高等学校学报,2010,23(3):1-5.[7] S z e g e d iA,P o p o v a A,G o s h e vI,e ta l.E f f e c to fa m i n ef u n c t i o n a l i z a t i o no fs p h e r i c a l M e m-41a n dS B A-15o nc o n t r o l l e dd r u g re l e a s e[J].J o u r n a l of s o l i d s t a t e c h e m i s t r y,2011,184:1201-1207.[8] Z e n g W,Q i a nXF.O r g a n i cm o d i f i e dm e s o p o r o u sM C M-41t h r o u g h s o l v o t h e r m a l p r o c e s s a s d r u g d e l i v e r y s y s t e m[J].M a t e r i a l s r e s e a r c hb u l l e t i n,2005,40:766-772.[9] K o r s m e y e rR W,G u r n y R,P e p p a sN A,e t a l.M e c h a n i s m so f s o l u t er e l e a s e f r o m p o r o u sh y d r o p h i l i c p o l y m e r s[J].I n t e r n a t i o n a l j o u r n a l o f p h a r m a c e u t i c s,1983,15:25-35.(E d.:S G L,Z) 4石油化工高等学校学报 第25卷。
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STAND RVN4057 3.532 X 8 CODEPLUG NO3080385B23 & 5880385B30 MDVN4965 3.59100-WS/T CONFIG KITRVN4053 3.5ASTRO DIGITAL INTERFACE NO3080385B23RVN41842-CD RKN4046A (Portable) 2-3.5ASTRO PORTABLE /MOBILE YES3080369B73 or0180300B10 (Mobile) RVN41831-CD3080369B732-3.5ASTRO SPECTRA MOBILE YES(Low / Mid Power)0180300B10 (High Power) RVN4185CD ASTRO SPECTRA PLUS MOBILE NO MANY OPTIONS; SEESERVICE BRIEF#SB-MO-0101RVN4186CD ASTRO SPECTRA PLUS MANY OPTIONS;MOBILE/PORTABLE COMB SEE SERVICE BRIEF#SB-MO-0101RVN4154 3.5ASTROTAC 3000 COMPAR.3080385B23RVN5003 3.5ASTROTAC COMPARATORS NO3080399E31 Adpt.5880385B34RVN4083 3.5BSC II NO FKN5836ARVN4171 3.5C200RVN4029 3.5CENTRACOM SERIES II NO VARIOUS-SEE MANUAL6881121E49RVN4112 3.5COMMAND PLUS NORVN4149 3.5COMTEGRA YES3082056X02HVN6053CD CT250, 450, 450LS YES AAPMKN4004RVN4079 3.5DESKTRAC CONVENTIONAL YES3080070N01RVN4093 3.5DESKTRAC TRUNKED YES3080070N01RVN4091 3.5DGT 9000 DESKSET YES0180358A22RVN4114 3.5GLOBAL POSITIONING SYS.NO RKN4021AHVN8177 3.5GM/GR300/GR500/GR400M10/M120/130YES3080070N01RVN4159 3.5GP60 SERIES YES PMLN4074AHVN9128 3.5GP300 & GP350RVN4152 3.5GP350 AVSRVN4150 3.5GTX YES HKN9857 (Portable)3080070N01(Mobile) HVN9025CD HT CDM/MTX/EX SERIES YES AARKN4083/AARKN4081RiblessAARKN4075RIBLESS NON-USA RKN4074RVN4098H 3.5HT1000/JT1000-VISAR YES3080371E46(VISAR CONV)RVN4151 3.5HT1000 AVSRVN4098 3.5HT1000/ VISAR CONV’L.YES RKN4035B (HT1000) HVN9084 3.5i750YES HLN-9102ARVN4156 3.5LCS/LTS 2000YES HKN9857(Portable)3080070N01(Mobile) RVN4087 3.5LORAN C LOC. 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DOI: 10.1126/science.1191652, 70 (2010);330 Science , et al.Parayil Kumaran Ajikumar Escherichia coliin Isoprenoid Pathway Optimization for Taxol Precursor OverproductionThis copy is for your personal, non-commercial use only.clicking here.colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to othershere.following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles): August 4, 2011 (this infomation is current as of The following resources related to this article are available online at/content/330/6000/70.full.html version of this article at:including high-resolution figures, can be found in the online Updated information and services, /content/suppl/2010/09/27/330.6000.70.DC1.htmlcan be found at:Supporting Online Material /content/330/6000/70.full.html#related found at:can be related to this article A list of selected additional articles on the Science Web sites /content/330/6000/70.full.html#ref-list-1, 4 of which can be accessed free:cites 33 articles This article 1 article(s) on the ISI Web of Science cited by This article has been /content/330/6000/70.full.html#related-urls 1 articles hosted by HighWire Press; see:cited by This article has been/cgi/collection/chemistry Chemistrysubject collections:This article appears in the following registered trademark of AAAS.is a Science 2010 by the American Association for the Advancement of Science; all rights reserved. The title Copyright American Association for the Advancement of Science, 1200 New York Avenue NW, Washington, DC 20005. (print ISSN 0036-8075; online ISSN 1095-9203) is published weekly, except the last week in December, by the Science o n A u g u s t 4, 2011w w w .s c i e n c e m a g .o r g D o w n l o a d e d f r o mIsoprenoid Pathway Optimizationfor Taxol Precursor Overproductionin Escherichia coliParayil Kumaran Ajikumar,1,2Wen-Hai Xiao,1Keith E.J.Tyo,1Yong Wang,3Fritz Simeon,1 Effendi Leonard,1Oliver Mucha,1Too Heng Phon,2Blaine Pfeifer,3*Gregory Stephanopoulos1,2* Taxol(paclitaxel)is a potent anticancer drug first isolated from the Taxus brevifolia Pacific yew tree. Currently,cost-efficient production of Taxol and its analogs remains limited.Here,we report a multivariate-modular approach to metabolic-pathway engineering that succeeded in increasing titers of taxadiene—the first committed Taxol intermediate—approximately1gram per liter(~15,000-fold)in an engineered Escherichia coli strain.Our approach partitioned the taxadiene metabolic pathwayinto two modules:a native upstream methylerythritol-phosphate(MEP)pathway forming isopentenyl pyrophosphate and a heterologous downstream terpenoid–forming pathway.Systematic multivariate search identified conditions that optimally balance the two pathway modules so as to maximize the taxadiene production with minimal accumulation of indole,which is an inhibitory compound found here. We also engineered the next step in Taxol biosynthesis,a P450-mediated5a-oxidation of taxadieneto taxadien-5a-ol.More broadly,the modular pathway engineering approach helped to unlock the potential of the MEP pathway for the engineered production of terpenoid natural products.T axol(paclitaxel)and its structural analogs are among the most potent and commer-cially successful anticancer drugs(1).Taxol was first isolated from the bark of the Pacific yew tree(2),and early-stage production methods required sacrificing two to four fully grown trees to secure sufficient dosage for one patient(3). Taxol’s structural complexity limited its chemical synthesis to elaborate routes that required35to 51steps,with a highest yield of0.4%(4–6).Asemisynthetic route was later devised in whichthe biosynthetic intermediate baccatin III,isolatedfrom plant sources,was chemically converted toTaxol(7).Although this approach and subse-quent plant cell culture–based production effortshave decreased the need for harvesting the yewtree,production still depends on plant-based pro-cesses(8),with accompanying limitations onproductivity and scalability.These methods ofproduction also constrain the number of Taxolderivatives that can be synthesized in the searchfor more efficacious drugs(9,10).Recent developments in metabolic engineer-ing and synthetic biology offer new possibilitiesfor the overproduction of complex natural productsby optimizing more technically amenable micro-bial hosts(11,12).The metabolic pathway forTaxol consists of an upstream isoprenoid pathwaythat is native to Escherichia coli and a het-erologous downstream terpenoid pathway(fig.S1).The upstream methylerythritol-phosphate(MEP)or heterologous mevalonic acid(MV A)pathwayscan produce the two common building blocks,isopentenyl pyrophosphate(IPP)and dimethyl-allyl pyrophosphate(DMAPP),from which Taxoland other isoprenoid compounds are formed(12).Recent studies have highlighted the engi-neering of the above upstream pathways to sup-port the biosynthesis of heterologous isoprenoidssuch as lycopene(13,14),artemisinic acid(15,16),and abietadiene(17,18).The downstream taxadienepathway has been reconstructed in E.coli andSaccharomyces cerevisiae together with the over-expression of upstream pathway enzymes,but todate titers have been limited to less than10mg/liter(19,20).The above rational metabolic engineering ap-proaches examined separately either the upstreamor the downstream terpenoid pathway,implicitlyassuming that modifications are additive(a linearbehavior)(13,17,21).Although this approachcan yield moderate increases in flux,it generallyignores nonspecific effects,such as toxicity of in-termediate metabolites,adverse cellular effects ofthe vectors used for expression,and hidden path-ways and metabolites that may compete with themain pathway and inhibit the production of thedesired binatorial approaches canovercome such problems because they offer theopportunity to broadly sample the parameter spaceand bypass these complex nonlinear interactions(21–23).However,combinatorial approaches re-quire high-throughput screens,which are often notavailable for many desirable natural products(24).Considering the lack of a high-throughputscreen for taxadiene(or other Taxol pathwayintermediate),we resorted to a focused combi-1Department of Chemical Engineering,Massachusetts Institute of Technology(MIT),Cambridge,MA02139,USA.2Chemical and Pharmaceutical Engineering Program,Singapore-MIT Alli-ance,117546Singapore.3Department of Chemical and Bio-logical Engineering,Tufts University,4Colby Street,Medford, MA02155,USA.*To whom correspondence should be addressed.E-mail: gregstep@(G.S.);blaine.pfeifer@(B.P.)Upstream moduleFig.1.isoprenoid pathwaythe flux through thewe targeted reported(dxs,idi,ispD,andexpression by anTo channel theversal isoprenoidtoward Taxolsynthetic operon of downstream genes GGPP synthase(G)and taxadienesynthase(T)(37).Both pathways were placed under the control of induciblepromoters in order to control their relative gene expression.In the E.colimetabolic network,the MEP isoprenoid pathway is initiated by the con-densation of the precursors glyceraldehyde-3phosphate(G3P)and pyruvate(PYR)from glycolysis.The Taxol pathway bifurcation starts from the universalisoprenoid precursors IPP and DMAPP to form geranylgeranyl diphosphate,and then the taxadiene.The cyclic olefin taxadiene undergoes multiple roundsof stereospecific oxidations,acylations,and benzoylation to form the lateintermediate Baccatin III and side chain assembly to,ultimately,form Taxol. REPORTS1OCTOBER2010VOL330SCIENCE 70onAugust4,211www.sciencemag.orgDownloadedfromnatorial approach,which we term “multivariate-modular pathway engineering.”In this approach,the overall pathway is partitioned into smaller modules,and the modules ’expression are varied simultaneously —a multivariate search.This ap-proach can identify an optimally balanced path-way while searching a small combinatorial space.Specifically,we partition the taxadiene-forming pathway into two modules separated at IPP,which is the key intermediate in terpenoid bio-synthesis.The first module comprises an eight-gene,upstream,native (MEP)pathway of which the expression of only four genes deemed to be rate-limiting was modulated,and the second mod-ule comprises a two-gene,downstream,heterolo-gous pathway to taxadiene (Fig.1).This modular approach allowed us to efficiently sample the main parameters affecting pathway flux without the need for a high-throughput screen and to unveil the role of the metabolite indole as in-hibitor of isoprenoid pathway activity.Addition-ally,the multivariate search revealed a highly nonlinear taxadiene flux landscape with a global maximum exhibiting a 15,000-fold increase in taxadiene production over the control,yielding 1.02T 0.08g/liter (SD)taxadiene in fed-batch bioreactor fermentations.We have further engineered the P450-based oxidation chemistry in Taxol biosynthesis in E.coli to convert taxadiene to taxadien-5a -ol and provide the basis for the synthesis of sub-sequent metabolites in the pathway by means of similar cytochrome P450(CYP450)oxida-tion chemistry.Our engineered strain improved taxadiene-5a -ol production by 2400-fold over the state of the art with yeast (25).These ad-vances unlock the potential of microbial pro-cesses for the large-scale production of Taxol or its derivatives and thousands of other valuable terpenoids.The multivariate-modular approach in which various promoters and gene copy-numbers are combined to modulate diverse expression levels of upstream and downstream pathways of taxadiene synthesis is schematically described in fig.S2.A total of 16strains were constructed in order to widen the bottleneck of the MEP pathway as well as optimally balance it with the downstream tax-adiene pathway (26).The dependence of tax-adiene accumulation on the upstream pathway for constant values of the downstream pathway is shown in Fig.2A,and the dependence on the downstream pathway for constant upstream path-way strength is shown in Fig.2B (table S1,cal-culation of the upstream and downstream pathway strength from gene copy number and promoter strength).As the upstream pathway expression increases in Fig.2A from very low levels,tax-adiene production also rises initially because of increased supply of precursors to the overall path-way.However,after an intermediate value further upstream pathway increases cannot be accom-modated by the capacity of the downstream path-way.For constant upstream pathway expression (Fig.2B),a maximum in downstream expressionwas similarly observed owing to the rising edge to initial limiting of taxadiene production by low expression levels of the downstream pathway.At high (after peak)levels of downstream pathway expression,we were probably observing the neg-ative effect on cell physiology of the high copy number.These results demonstrate that dramatic changes in taxadiene accumulation can be obtained fromchanges within a narrow window of expression levels for the upstream and downstream path-ways.For example,a strain containing an ad-ditional copy of the upstream pathway on its chromosome under Trc promoter control (strain 8)(Fig.2A)produced 2000-fold more taxadiene than one expressing only the native MEP path-way (strain 1)(Fig.2A).Furthermore,changing the order of the genes in the downstreamsyn-Fig.2.Optimization of taxadiene production through regulating the expression of the upstream and downstream modular pathways.(A )Response in taxadiene accumulation to changes in upstream pathway strengths for constant values of the downstream pathway.(B )Dependence of taxadiene on the down-stream pathway for constant levels of upstream pathway strength.(C )Taxadiene response from strains (17to 24)engineered with high upstream pathway overexpressions (6to 100a.u.)at two different down-stream expressions (31a.u.and 61a.u.).(D )Modulation of a chromosomally integrated upstream pathway by using increasing promoter strength at two different downstream expressions (31a.u.and 61a.u.).(E )Genotypes of the 32strain constructs whose taxadiene phenotype is shown in Fig.2,A to D.E,E.coli K12MG1655D recA D endA ;EDE3,E.coli K12MG1655D recA D endA with DE3T7RNA polymerase gene in the chromosome;MEP,dxs-idi-ispDF operon;GT,GPPS-TS operon;TG,TS-GPPS operon;Ch1,1copy in chromosome;Trc,Trc promoter;T5,T5promoter;T7,T7promoter;p5,pSC101plasmid;p10,p15A plasmid;and p20,pBR322plasmid. SCIENCEVOL 3301OCTOBER 201071REPORTSo n A u g u s t 4, 2011w w w .s c i e n c e m a g .o r g D o w n l o a d e d f r o mthetic operon from GT (GGPS-TS)to TG (TS-GGPS)resulted in a two-to threefold increase (strains 1to 4as compared with strains 5,8,11,and 14).Altogether,the engineered strains estab-lished that the MEP pathway flux can be substan-tial if an appropriate range of expression levels for the endogenous upstream and synthetic down-stream pathway are searched simultaneously.To provide ample downstream pathway strength while minimizing the plasmid-born metabolic bur-den (27),two new sets of four strains each were engineered (strains 17to 20and 21to 24),in which the downstream pathway was placed un-der the control of a strong promoter (T7)while keeping a relatively low number of five and 10plasmid copies,respectively.The taxadiene maxi-mum was maintained at high downstream strength (strains 21to 24),whereas a monotonic response was obtained at the low downstream pathway strength (strains 17to 20)(Fig.2C).This ob-servation prompted the construction of two addi-tional sets of four strains each that maintained the same level of downstream pathway strength as before but expressed very low levels of the up-stream pathway (strains 25to 28and 29to 32)(Fig.2D).Additionally,the operon of the up-stream pathway of the latter strain set was chro-mosomally integrated (fig S3).Not only was the taxadiene maximum recovered in these strains,albeit at very low upstream pathway levels,but a much greater taxadiene maximum was attained (~300mg/liter).We believe that this significant increase can be attributed to a decrease in the cell ’s metabolic burden.We next quantified the mRNA levels of 1-deoxy-D -xylulose-5-phosphate synthase (dxs)and taxadiene synthase (TS)(representing the up-stream and downstream pathways,respectively)for the high-taxadiene-producing strains (25to 32and 17and 22)that exhibited varying up-stream and downstream pathway strengths (fig.S4,A and B)to verify our predicted expression strengths were consistent with the actual pathway levels.We found that dxs expression level cor-relates well with the upstream pathway strength.Similar correlations were found for the other genes of the upstream pathway:idi ,ispD ,and ispF (fig.S4,C and D).In downstream TS gene expres-sion,an approximately twofold improvement was quantified as the downstream pathway strength increased from 31to 61arbitrary units (a.u.)(fig.S4B).Metabolomic analysis of the previous strains led to the identification of a distinct metabolite by-product that inversely correlated with taxadiene accumulation (figs.S5and S6).The corresponding peak in the gas chromatography –mass spectrom-etry (GC-MS)chromatogram was identified as indole through GC-MS,1H,and 13C nuclear magnetic resonance (NMR)spectroscopy studies (fig.S7).We found that taxadiene synthesis by strain 26is severely inhibited by exogenous in-dole at indole levels higher than ~100mg/liter (fig.S5B).Further increasing the indole concen-tration also inhibited cell growth,with the level ofinhibition being very strain-dependent (fig.S5C).Although the biochemical mechanism of indole interaction with the isoprenoid pathway is pres-ently unclear,the results in fig.S5suggest a possible synergistic effect between indole and terpenoid compounds of the isoprenoid pathway in inhibiting cell growth.Without knowing the specific mechanism,it appears that strain 26has mitigated the indole ’s effect,which we carried forward for further study.In order to explore the taxadiene-producing potential under controlled conditions for the en-gineered strains,fed-batch cultivations of the three highest taxadiene accumulating strains (~60mg/liter from strain 22;~125mg/liter from strain 17;and ~300mg/liter from strain 26)were carried out in 1-liter bioreactors (Fig.3).The fed-batch cultivation studies were carried out as liquid-liquid two-phase fermentation using a 20%(v/v)dodecane overlay.The organic solvent was intro-duced to prevent air stripping of secreted tax-adiene from the fermentation medium,as indicated by preliminary findings (fig.S8).In defined media with controlled glycerol feeding,taxadiene pro-ductivity increased to 174T 5mg/liter (SD),210T 7mg/liter (SD),and 1020T 80mg/liter (SD)for strains 22,17,and 26,respectively (Fig.3A).Additionally,taxadiene production significantly affected the growth phenotype,acetate accumu-lation,and glycerol consumption [Fig.3,B and D,and supporting online material (SOM)text].Clearly,the high productivity and more robustgrowth of strain 26allowed very high taxadiene accumulation.Further improvements should be possible through optimizing conditions in the bio-reactor,balancing nutrients in the growth medi-um and optimizing carbon delivery.Having succeeded in engineering the bio-synthesis of the “cyclase phase ”of Taxol for high taxadiene production,we turned next to engineer-ing the oxidation-chemistry of Taxol biosynthesis.In this phase,hydroxyl groups are incorporated by oxygenation at seven positions on the taxane core structure,mediated by CYP450-dependent monooxygenases (28).The first oxygenation is the hydroxylation of the C5position,followed by seven similar reactions en route to Taxol (fig.S1)(29).Thus,a key step toward engineering Taxol-producing microbes is the development of CYP450-based oxidation chemistry in vivo.The first oxygenation step is catalyzed by a CYP450,taxadiene 5a -hydroxylase,which is an unusual monooxygenase that catalyzes the hydroxylation reaction along with double-bond migration in the diterpene precursor taxadiene (Fig.1).In general,functional expression of plant CYP450in E.coli is challenging (30)because of the inherent limitations of bacterial platforms,such as the absence of electron transfer machin-ery and CYP450-reductases (CPRs)and trans-lational incompatibility of the membrane signal modules of CYP450enzymes because of the lack of an endoplasmic reticulum.Recently,through transmembrane (TM)engineering and the gener-24487296120T a x a d i e n e (m g /L )Time (h)1234024487296120N e t g l y c e r o l a d d e d (g /L )Time (h)A BC DC e l l g r o w t h (OD 600 n m )Time (h)24487296120A c e t i c a c i d (g /L )Time (h)Fig.3.Fed-batch cultivation of engineered strains in a 1-liter bioreactor.Time courses of (A )taxadiene accumulation,(B )cell growth,(C )acetic acid accumulation,and (D )total substrate (glycerol)addition for strains 22,17,and 26during 5days of fed-batch bioreactor cultivation in 1-liter bioreactor vessels under controlled pH and oxygen conditions with minimal media and 0.5%yeast extract.After glycerol depletes to ~0.5to 1g/liter in the fermentor,3g/liter of glycerol was introduced into the bioreactor during the fermentation.Data are mean of two replicate bioreactors.1OCTOBER 2010VOL 330SCIENCE72REPORTSo n A u g u s t 4, 2011w w w .s c i e n c e m a g .o r g D o w n l o a d e d f r o mation of chimera enzymes of CYP450and CPR,some plant CYP450s have been expressed in E.coli for the biosynthesis of functional mole-cules (15,31).Still,every plant CYP450has distinct TM signal sequences and electron transfer characteristics from its reductase counterpart (32).Our initial studies were focused on optimizing the expression of codon-optimized synthetic tax-adiene 5a -hydroxylase by N-terminal TM engi-neering and generating chimera enzymes through translational fusion with the CPR redox partner from the Taxus species,Taxus CYP450reductase (TCPR)(Fig.4A)(29,31,33).One of the chi-mera enzymes generated,At24T5a OH-tTCPR,was highly efficient in carrying out the first oxi-dation step,resulting in more than 98%taxadiene conversion to taxadien-5a -ol and the byproduct 5(12)-Oxa-3(11)-cyclotaxane (OCT)(fig.S9A).Compared with the other chimeric CYP450s,At24T5a OH-tTCPR yielded twofold higher (21mg/liter)production of taxadien-5a -ol (Fig.4B).Because of the functional plasticity of taxadiene 5a -hydroxylase with its chimeric CYP450’s en-zymes (At8T5a OH-tTCPR,At24T5a OH-tTCPR,and At42T5a OH-tTCPR),the reaction also yields a complex structural rearrangement of taxadiene into the cyclic ether OCT (fig.S9)(34).The by-product accumulated in approximately equal amounts (~24mg/liter from At24T5a OH-tTCPR)to the desired product taxadien-5a -ol.The productivity of strain 26-At24T5a OH-tTCPR was significantly reduced relative to that of taxadiene production by the parent strain 26(~300mg/liter),with a concomitant increase in indole accumulation.No taxadiene accumulation was observed.Apparently,the introduction of an additional medium copy plasmid (10-copy,p10T7)bearing the At24T5a OH-tTCPR construct dis-turbed the carefully engineered balance in the up-stream and downstream pathway of strain 26(fig S10).Small-scale fermentations were carried out in bioreactors so as to quantify the alcohol production by strain 26-At24T5a OH-tTCPR.The time course profile of taxadien-5a -ol accumulation (Fig.4C)indicates alcohol production of up to 58T 3mg/liter (SD)with an equal amount of the OCT by-product produced.The observed alcohol production was approximately 2400-fold higher than previous production in S.cerevisiae (25).The MEP pathway is energetically balanced and thus overall more efficient in converting either glucose or glycerol to isoprenoids (fig.S11).Yet,during the past 10years many attempts at en-gineering the MEP pathway in E.coli in order to increase the supply of the key precursors IPP and DMAPP for carotenoid (21,35),sesquiterpenoid (16),and diterpenoid (17)overproduction met with limited success.This inefficiency was at-tributed to unknown regulatory effects associated specifically with the expression of the MEP path-way in E.coli (16).Here,we provide evidence that such limitations are correlated with the accumu-lation of the metabolite indole,owing to the non-optimal expression of the pathway,which inhibits the isoprenoid pathway activity.Taxadiene over-production (under conditions of indole-formation suppression),establishes the MEP pathway as a very efficient route for biosynthesis of pharma-ceutical and chemical products of the isoprenoid family (fig.S11).One simply needs to carefully balance the modular pathways,as suggested by our multivariate-modular pathway –engineering approach.For successful microbial production of Taxol,demonstration of the chemical decoration of the taxadiene core by means of CYP450-based oxi-dation chemistry is essential (28).Previous ef-forts to reconstitute partial Taxol pathways in yeast found CYP450activity limiting (25),making the At24T5a OH-tTCPR activity levels an im-portant step to debottleneck the late Taxol path-way.Additionally,the strategies used to create At24T5a OH-tTCPR are probably applicable for the remaining monooxygenases that will require expression in E.coli .CYP450monooxygenases constitute about one half of the 19distinct en-zymatic steps in the Taxol biosynthetic pathway.These genes show unusually high sequence sim-ilarity with each other (>70%)but low similarity (<30%)with other plant CYP450s (36),implying that these monooxygenases are amenable to similar engineering.To complete the synthesis of a suitable Taxol precursor,baccatin III,six more hydroxylation reactions and other steps (including some that have not been identified)need to be effectively engineered.Although this is certainly a daunting task,the current study shows potential by provid-ing the basis for the functional expression of two key steps,cyclization and oxygenation,in Taxol biosynthesis.Most importantly,by unlocking the potential of the MEP pathway a new more ef-ficient route to terpenoid biosynthesis is capable of providing potential commercial production of microbially derived terpenoids for use as chem-icals and fuels from renewable resources.References and Notes1.D.G.Kingston,Phytochemistry 68,1844(2007).2.M.C.Wani,H.L.Taylor,M.E.Wall,P.Coggon,A.T.McPhail,J.Am.Chem.Soc.93,2325(1971).3.M.Suffness,M.E.Wall,in Taxol:Science and Applications ,M.Suffness,Ed.(CRC,Boca Raton,FL,1995),pp.3–26.4.K.C.Nicolaou et al .,Nature 367,630(1994).5.R.A.Holton et al .,J.Am.Chem.Soc.116,1597(1994).6.A.M.Walji,D.W.C.MacMillan,Synlett 18,1477(2007).7.R.A.Holton,R.J.Biediger,P.D.Boatman,in Taxol:Science and Applications ,M.Suffness,Ed.(CRC,Boca Raton,FL,1995),pp.97–119.8.D.Frense,Appl.Microbiol.Biotechnol.73,1233(2007).9.S.C.Roberts,Nat.Chem.Biol.3,387(2007).10.J.Goodman,V.Walsh,The Story of Taxol:Nature andPolitics in the Pursuit of an Anti-Cancer Drug .(Cambridge Univ.Press,Cambridge,2001).11.K.E.Tyo,H.S.Alper,G.N.Stephanopoulos,TrendsBiotechnol.25,132(2007).12.P.K.Ajikumar et al .,Mol.Pharm.5,167(2008).510152025T a x a d i e n -5α-o l p r o d u c t i o n (m g e q u i v a l e n t o f t a x a d i e n e /L )BC048121620020406020406080100C e l l g r o w t h (OD 600n m )T a x a d i e n e -5α-o l p r o d u c t i o n (m g e q u i v a l e n t o f t a x a d i e n e /L )Time (h)Fig.4.Engineering Taxol P450oxidation chemistry in E.coli .(A )TM engineering and construction of chimera protein from taxadien-5a -ol hydroxylase (T5a OH)and Taxus cytochrome P450reductase (TCPR).The labels 1and 2represent the full-length proteins of T5a OH and TCPR identified with 42and 74amino acid TM regions,respectively,and 3represents chimera enzymes generated from three different TM en-gineered T5a OH constructs [At8T5a OH,At24T5a OH,and At42T5a OH constructed by fusing an 8-residue synthetic peptide MALLLAVF (A)to 8,24,and 42AA truncated T5a OH]through a translational fusion with 74AA truncated TCPR (tTCPR)by use of linker peptide GSTGS.(B )Functional activity of At8T5a OH-tTCPR,At24T5a OH-tTCPR,and At42T5a OH-tTCPR constructs transformed into taxadiene producing strain 26.Data are mean T SD for three replicates.(C )Time course profile of taxadien-5a -ol accumulation and growth profile of the strain 26-At24T5a OH-tTCPR fermented in a 1-liter bioreactor.Data are mean of two replicate bioreactors.SCIENCEVOL 3301OCTOBER 201073REPORTSo n A u g u s t 4, 2011w w w .s c i e n c e m a g .o r g D o w n l o a d e d f r o m13.W.R.Farmer,J.C.Liao,Nat.Biotechnol.18,533(2000).14.H.Alper,K.Miyaoku,G.Stephanopoulos,Nat.Biotechnol.23,612(2005).15.M.C.Chang,J.D.Keasling,Nat.Chem.Biol.2,674(2006).16.V.J.Martin,D.J.Pitera,S.T.Withers,J.D.Newman,J.D.Keasling,Nat.Biotechnol.21,796(2003).17.D.Morrone et al .,Appl.Microbiol.Biotechnol.85,1893(2010).18.E.Leonard et al .,Proc.Natl.Acad.Sci.U.S.A.107,13654(2010).19.Q.Huang,C.A.Roessner,R.Croteau,A.I.Scott,Bioorg.Med.Chem.9,2237(2001).20.B.Engels,P.Dahm,S.Jennewein,Metab.Eng.10,201(2008).21.L.Z.Yuan,P.E.Rouvière,rossa,W.Suh,Metab.Eng.8,79(2006).22.Y.S.Jin,G.Stephanopoulos,Metab.Eng.9,337(2007).23.H.H.Wang et al .,Nature 460,894(2009).24.D.Klein-Marcuschamer,P.K.Ajikumar,G.Stephanopoulos,Trends Biotechnol.25,417(2007).25.J.M.Dejong et al .,Biotechnol.Bioeng.93,212(2006).26.Materials and methods are available as supportingmaterial on Science Online.27.K.L.Jones,S.W.Kim,J.D.Keasling,Metab.Eng.2,328(2000).28.R.Kaspera,R.Croteau,Phytochem.Rev.5,433(2006).29.S.Jennewein,R.M.Long,R.M.Williams,R.Croteau,Chem.Biol.11,379(2004).30.M.A.Schuler,D.Werck-Reichhart,Annu.Rev.Plant Biol.54,629(2003).31.E.Leonard,M.A.Koffas,Appl.Environ.Microbiol.73,7246(2007).32.D.R.Nelson,Arch.Biochem.Biophys.369,1(1999).33.S.Jennewein et al .,Biotechnol.Bioeng.89,588(2005).34.D.Rontein et al .,J.Biol.Chem.283,6067(2008).35.W.R.Farmer,J.C.Liao,Biotechnol.Prog.17,57(2001).36.S.Jennewein,M.R.Wildung,M.Chau,K.Walker,R.Croteau,Proc.Natl.Acad.Sci.U.S.A.101,9149(2004).37.K.Walker,R.Croteau,Phytochemistry 58,1(2001).38.We thank R.Renu for extraction,purification,andcharacterization of metabolite Indole;C.Santos for providing the pACYCmelA plasmid,constructivesuggestions during the experiments,and preparation of the manuscript;D.Dugar,H.Zhou,and X.Huang for helping with experiments and suggestions;and K.Hiller for data analysis and comments on the manuscript.We gratefully acknowledge support by the Singapore-MIT Alliance (SMA-2)and NIH,grant 1-R01-GM085323-01A1.B.P.acknowledges the Milheim Foundation Grant for Cancer Research 2006-17.A patent application that is based on the results presented here has been filed by MIT.P.K.A.designed the experiments and performed the engineering and screening of the strains;W-H.X.performed screening of the strains,bioreactorexperiments,and GC-MS analysis;F.S.carried out the quantitative PCR measurements;O.M.performed the extraction and characterization of taxadiene standard;E.L.,Y.W.,and B.P.supported with cloning experiments;P.K.A.,K.E.J.T.,T.H.P.,B.P.and G.S.analyzed the data;P.K.A.,K.E.J.T.,and G.S.wrote the manuscript;G.S.supervised the research;and all of the authors contributed to discussion of the research and edited and commented on the manuscript.Supporting Online Material/cgi/content/full/330/6000/70/DC1Materials and Methods SOM TextFigs.S1to S11Tables S1to S4References29April 2010;accepted 9August 201010.1126/science.1191652Reactivity of the Gold/Water Interface During Selective Oxidation CatalysisBhushan N.Zope,David D.Hibbitts,Matthew Neurock,Robert J.Davis *The selective oxidation of alcohols in aqueous phase over supported metal catalysts is facilitated by high-pH conditions.We have studied the mechanism of ethanol and glycerol oxidation to acids over various supported gold and platinum beling experiments with 18O 2and H 218O demonstrate that oxygen atoms originating from hydroxide ions instead of molecular oxygen are incorporated into the alcohol during the oxidation reaction.Density functional theory calculations suggest that the reaction path involves both solution-mediated and metal-catalyzed elementary steps.Molecular oxygen is proposed to participate in the catalytic cycle not by dissociation to atomic oxygen but by regenerating hydroxide ions formed via the catalytic decomposition of a peroxide intermediate.The selective oxidation of alcohols with mo-lecular oxygen over gold (Au)catalysts in liquid water offers a sustainable,envi-ronmentally benign alternative to traditional pro-cesses that use expensive inorganic oxidants and harmful organic solvents (1,2).These catalytic transformations are important to the rapidly de-veloping industry based on the conversion of bio-renewable feedstocks to higher-valued chemicals (3,4)as well as the current production of petro-chemicals.Although gold is the noblest of metals (5),the water/Au interface provides a reaction en-vironment that enhances its catalytic performance.We provide here direct evidence for the predomi-nant reaction path during alcohol oxidation at high pH that includes the coupling of both solution-mediated and metal-catalyzed elementary steps.Alcohol oxidation catalyzed by Pt-group metals has been studied extensively,although the precisereaction path and extent of O 2contribution are still under debate (4,6–8).The mechanism for the selective oxidation of alcohols in liquid water over the Au catalysts remains largely un-known (6,9),despite a few recent studies with organic solvents (10–12).In general,supported Au nanoparticles are exceptionally good catalysts for the aerobic oxidation of diverse reagents ranging from simple molecules such as CO and H 2(13)to more complex substrates such as hy-drocarbons and alcohols (14).Au catalysts are also substrate-specific,highly selective,stable against metal leaching,and resistant to overoxidation by O 2(6,15,16).The active catalytic species has been suggested to be anionic Au species (17),cat-ionic Au species (18,19),and neutral Au metal particles (20).Moreover,the size and structure of Au nanoparticles (21,22)as well as the interface of these particles with the support (23)have also been claimed to be important for catalytic ac-tivity.For the well-studied CO oxidation reaction,the presence of water vapor increases the observed rate of the reaction (24–26).Large metallic Au particles and Au metal powder,which are usually considered to be catalytically inert,have consider-able oxidation activity under aqueous conditions at high pH (27,28).We provide insights into the active intermediates and the mechanism for al-cohol oxidation in aqueous media derived from experimental kinetic studies on the oxidation of glycerol and ethanol with isotopically labeled O 2and H 2O over supported Au and Pt catalysts,as well as ab initio density functional theory calcu-lations on ethanol oxidation over metal surfaces.Previous studies indicate that alcohol oxida-tion over supported metal catalysts (Au,Pt,and Pd)proceeds by dehydrogenation to an aldehyde or ketone intermediate,followed by oxidation to the acid product (Eq.1)RCH 2OH À!O 2,catalyst RCH ¼O À!O 2,catalystRCOOH(1)Hydroxide ions play an important role during oxidation;the product distribution depends on pH,and little or no activity is seen over Au cat-alysts without added base.We studied Au par-ticles of various sizes (average diameter ranging from 3.5to 10nm)on different supports (TiO 2and C)as catalysts for alcohol oxidation and com-pared them to Pt and Pd particles supported on C.The oxidation of glycerol (HOCH 2CHOHCH 2OH)to glyceric (HOCH 2CHOHCOOH)and glycolic (HOCH 2COOH)acids occurred at a turnover frequency (TOF)of 6.1and 4.9s −1on Au/C and Au/TiO 2,respectively,at high pH (>13)whereas the TOF on supported Pt and Pd (1.6and 2.2s −1,respectively)was slightly lower at otherwise iden-tical conditions (Table 1).For these Au catalysts,particle size and support composition had negligi-ble effect on the rate or selectivity.In the absence of base,the glycerol oxidation rate was much lower over the Pt and Pd catalysts and no conver-sion was observed over the Au catalysts (Table 1).Moreover,the products detected over Pt and Pd in the absence of base are primarily the intermediate aldehyde and ketone,rather than acids.Department of Chemical Engineering,University of Virginia,102Engineers ’Way,Post Office Box 400741,Charlottesville,VA,22904–4741,USA.*To whom correspondence should be addressed.E-mail:rjd4f@1OCTOBER 2010VOL 330SCIENCE74REPORTSo n A u g u s t 4, 2011w w w .s c i e n c e m a g .o r g D o w n l o a d e d f r o m。
DOI:10.1021/la904014z 6083Langmuir 2010,26(9),6083–6085Published on Web 03/18//Langmuir ©2010American Chemical SocietyGraphene Oxide as a Matrix for Enzyme ImmobilizationJiali Zhang,†,§Feng Zhang,‡,§Haijun Yang,†Xuelei Huang,‡Hui Liu,‡Jingyan Zhang,*,‡andShouwu Guo*,††National Key Laboratory of Micro/Nano Fabrication Technology,Research Institute of Micro/Nano Science and Technology,Shanghai Jiao Tong University,Shanghai,200240China,and ‡State Key Laboratory of Bioreactor Engineering,School of Pharmacy,East China University of Science &Technology,Shanghai,200237China.§These authors contributed equally to this work.Received October 16,2009.Revised Manuscript Received January 25,2010Graphene oxide (GO),having a large specific surface area and abundant functional groups,provides an ideal substrate for study enzyme immobilization.We demonstrated that the enzyme immobilization on the GO sheets could take place readily without using any cross-linking reagents and additional surface modification.The atomically flat surface enabled us to observe the immobilized enzyme in the native state directly using atomic force microscopy (AFM).Combining the AFM imaging results of the immobilized enzyme molecules and their catalytic activity,we illustrated that the conformation of the immobilized enzyme is mainly determined by interactions of enzyme molecules with the functional groups of GO.IntroductionGraphene oxide (GO),as a basic material for the preparation of individual graphene sheets in bulk-quantity,has attracted great attention in recent years.1-3In addition,the incredibly large specific surface area (two accessible sides),the abundant oxygen-containing surface functionalities,such as epoxide,hydroxyl,and carboxylic groups,and the high water solubility afford GO sheets great promise for many more applications.1,2For instance,the GO nanosheets modified with polyethylene glycol have been employed as aqueous compatible carriers for water-insoluble drug delivery.4The intrinsic oxygen-containing functional groups were used as initial sites for deposition of metal nanoparticles and organic macromolecules,such as porphyrin,on the GO sheets,which opened up a novel route to multifunctional nanometer-scaled catalytic,magnetic,and optoelectronic materials.5-7How-ever,few studies about the binding of biomacromolecules,such as enzymes,to GO have been reported to date.Since the discovery of the advantageous property of immobi-lized enzymes,the challenges in this area have been to explore new substrate materials with appropriate structures (including the morphology and surface functionality)and compositions to deepen the understanding of enzyme immobilization and thus to improve the catalytic efficiency of the immobilizedenzymes.8-11Recently,along with the development of nano-structured materials,a range of nanomaterials with different sizes and shapes have been utilized as the substrates for enzyme immobilization.12-14It has been demonstrated that the enzymes immobilized on the nanostructured materials have some advan-tages over the bulk solid substrates.8,15However,similar to bulk solid substrates,to efficiently immobilize enzymes on nanostruc-tured material surfaces,in many cases,labored work was required to modify/functionalize the substrate surface.16,17Moreover,for most of the nanostructured materials,it is hard to fully char-acterize their surfaces using conventional surface analytical tools.This limits the deep understanding of enzyme immobilization.Consequently,new nanostructured materials that not only can immobilize the enzyme enthusiastically but also can enable insight into the interactions between enzymes and the substrate are still in need of exploration.GO sheets should be an ideal substrate for the study of enzyme immobilization on nanostructured materials.As aforementioned,the individual GO sheet is enriched with oxygen-containing groups,which makes it possible to immobilize enzymes without any surface modification or any coupling reagents.The atomi-cally flat surface of GO should provide a platform to characterize the immobilized enzyme using conventional surface imaging techniques,such as atomic force microscopy (AFM),and to further study the interactions between enzyme molecules and the GO surface.We describe herein the immobilization of horse-radish peroxidase (HRP)and lysozyme,as model enzymes,on the GO.The enzyme immobilization was characterized in situ with AFM in a liquid cell,and the catalytic activity of the immobilized HRP was assayed using phenol and hydrogen peroxide as catalytic reaction substrates.*To whom correspondence should be addressed.E-mail:swguo@ (S.G.);jyzhang@ (J.Z.).(1)Li,D.;Muller,M.B.;Gilje,S.;Kaner,R.B.;Wallance,G.G.Nature Nanotechnol.2008,3,101–105.(2)Park,S.;Ruoff,R.S.Nature Nanotechnol.2009,4,217–223.(3)Tung,V.C.;Allen,M.J.;Yang,Y.;Kaner,R.B.Nature Nanotechnol.2009,4,25–29.(4)Liu,Z.;Robinson,J.T.;Sun,X.;Dai,H.J.Am.Chem.Soc.2008,130,10876–10877.(5)Lomeda,J.R.;Doyle,C.D.;Kosynkin,D.V.;Hwang,W.;Tour,J.M.J.Am.Chem.Soc.2008,130,16201–16206.(6)Muszynski,R.;Seger,B.;Kamat,P.V.J.Phys.Chem.C 2008,112,5263–5266.(7)Xu,Y.;Liu,Z.;Zhang,X.;Wang,Y.;Tian,J.;Huang,Y.;Ma,Y.;Zhang,X.;Chen,Y.Adv.Mater.2009,21,1275–1278.(8)Bornscheuer,U.T.Angew.Chem.,Int.Ed.2003,42,3336–3337.(9)Betancor,L.;Luckarift,H.R.Trends Biotechnol.2008,26,566–572.(10)Badalo,A.;Gomez,J.L.;Gomez,E.;Bastida,J.;Maximo,M.F.Chemo-sphere 2006,63,626–632.(11)Chen,B.;Pernodet,N.;Rafailovich,M.H.;Bakhtina,A.;Gross,ngmuir 2008,24,13457–13464.(12)Kim,J.;Grate,J.W.;Wang,P.Chem.Eng.Sci.2006,61,1017–1026.(13)Zhi,C.;Bando,Y.;Tang,C.;Golberg,D.J.Am.Chem.Soc.2005,127,17144–17145.(14)Tsang,S.C.;Yu,C.H.;Gao,X.;Tam,K.J.Phys.Chem.B 2006,110,16914–16922.(15)Takahashi,H.;Li,B.;Sasaki,T.;Miyazaki,C.;Kajino,T.;Inagaki,S.Chem.Mater.2000,12,3301–3305.(16)Lee,Y.M.;Kwon,O.Y.;Yoon,Y.J.;Ryu,K.Biotechnol.Lett.2006,28,39–43.(17)Lin,Y.;Lu,F.;Tu,Y.;Ren,Z.Nano Lett.2004,4,191–195.Letter Zhang et al.Experimental SectionGO was prepared using natural graphite powder through amodified Hummers method.18,19The as-obtained yellow-brownaqueous suspension of GO was stored at RT on a lab bench,and used for characterizations and enzyme immobilization.Thesamples for Fourier transform infrared(FT-IR)measurementwere prepared by grinding the dried powder of graphene oxidewith KBr together and then compressing the mixture into thinpellets(EQUINOX55,Bruker,Germany).The specimens oftransmission electron microscopy(TEM)(JEM-2010)were pre-pared by placing the aqueous suspension(∼0.02mg/mL)ofgraphene oxide on the carbon-coated copper grids,and blottedafter30s.AFM images of graphene oxide were taken on aMultiMode Nanoscope V scanning probe microscopy system(Veeco).The samples for AFM were prepared by dropping theaqueous suspension(∼0.02mg/mL)of GO on a freshly cleavedmica surface.AFM images of the GO-bound enzymes wereacquired in a liquid cell using tapping mode.To acquire in situAFM images for enzyme immobilization,the liquid cell wascirculated with the fresh enzyme solution during imaging.20Enzyme immobilization was carried out by adding the desiredamount of GO to0.1M phosphate buffer that contained theenzymes to be immobilized.21The mixture was incubated for30min on ice with shaking and then centrifuged.The supernatantwas used to determine the enzyme loading.The immobilized enzy-mes were washed three times with the same buffer to remove physi-cal adsorbed enzymes.The resulting immobilized enzymes werethen subjected to activity assay.A colorimetric assay was employedto evaluate HRP activity.22The initial reaction rates were obtainedvia a linear fit of the curve of the product absorbance at510nmversus the reaction time(Supporting Information Figure S2).23Results and DiscussionThe morphology of as-prepared GO was characterized firstusing AFM(Figure1a).The height of the flat GO sheet is∼1nm(Figure1b),demonstrating a single atomic layer thicknessstructure feature.The thin nanoplate motif of the GO sheetswas also confirmed by TEM(Figure1c).The functional groups (Figure1d)existing on the GO surface were verified by FT-IR spectroscopy(Supporting Information Figure S1).The enzyme immobilization was carried out by incubating the GO(0.5to 1mg/mL aqueous dispersions)with the enzymes in phosphate buffer solution at4°C.We found that HRP can be spontaneously immobilized on GO.Presumably,the amine groups of HRP may form amide bonds with the carboxylic groups of GO;however, without any coupling reagents,this covalent interaction usually happens very slowly.24Therefore,the covalent bonding may not contribute to HRP-GO interaction.To elucidate the contribu-tion of other interactions,the phosphate buffers with pH from4.8 to8.8,were tested.As shown in Figure2,the loading of HRP on the GO decreases with increasing pH.HRP(pI=7.2)has a net positive charge at pH below7.2and a net negative charge at pH above7.2.The GO sheets are negatively charged in the aqueous solution with a pH range from4to11(see Supporting Informa-tion Figure S3).1-3Thus,in the buffer solutions with a pH range from4.8to7.2,the positively charged HRP interacts with the negatively charged GO by electrostatic interaction,while in the buffer solutions from pH7.2to8.8,HRP and GO both are negatively charged,and will repel each other.Therefore,less HRP was loaded.Only an∼30%enzyme loading decrease was observed when the pH of the buffer solutions increased from 4.8to8.8(Figure2),suggesting that other interactions,such as hydrogen bonding between the oxygen-containing functionalities of GO and surface amino acid residues of HRP,may contribute to GO-HRP interaction,too.Owing to the strong electrostatic interactions and hydrogen bonding,the maximum loading of HRP on GO at pH7.0is about100μg/mg of GO,which is much higher than the loadings on many reported materials.25-27To further illustrate the electrostatic interaction between the enzymes and GO,we examined the immobilization of lysozyme,an enzyme with pI=10.3(positively charged at pH7.0).The lysozyme can be spontaneously immobilized on GO,too,with the maximum loading of about700μg/mg of GO at pH7.0.The positively charged surface of lysozyme apparently is favorable for its interaction with GO.The loading difference between HRP and lysozyme indicates that the interactions of substrate-enzymes are determined by the surface charges of the specified enzymes and the substrate.The high enzyme loadings reveal the exceptional potential of GO as a solid substrate for enzyme immobilization. The enzyme immobilization was monitored in situ using AFM. Figure3a and b shows typical AFM images of the GO in a liquid Figure1.(a)Tapping mode AFM image of graphene oxide(GO) on a mica surface,(b)height profile of the AFM image,(c)TEM image of the GO,and(d)schematic model of GO.Figure2.pH influence on HRP loading.Conditions:50μg GO and2μg/mL HRP.(18)Hummers,W.S.;Offerman,R.E.J.Am.Chem.Soc.1958,80,1339–1339.(19)He,H.;Klinowski,J.;Forster,M.;Lerf,A.Chem.Phys.Lett.1998,287,53–56.(20)Guo,S.;Ward,M.D.;Wesson,ngmuir2002,18,4284–4291.(21)Cheng,J.;Ming,Yu,S.;Zuo,P.Water Res.2006,40,283–290.(22)Nicell,J.A.;Wright,H.Enzyme Microb.Technol.1997,21,302–310.(23)Buchanan,I.D.;Nicell,J.A.Biotechnol.Bioeng.1997,54,251–261.(24)Cao,Y.;Kyratzis,I.Bioconjugate Chem.2008,19,1945–1950.(25)Pundir,C.S.;Malik,V.;Bhargava,A.K.;Thakur,M.;Kaliam,V.;Singh, S.;Kuchhal,N.K.J.Plant Biochem.Biotechnol.1999,8,123–126.(26)Azevedo,A.M.;Vojinovic,V.;Cabral,J.M.S.;Gibson,T.D.;Fonseca, L.P.J.Mol.Catal.B:Enzym.2004,28,121–128.(27)G o mez,J.L.;B o dalo,A.;G o mez,E.;Bastida,J.;Hidalgo,A.M.;G o mez, M.Enzyme Microb.Technol.2006,39,1016–1022.6084DOI:10.1021/la904014z Langmuir2010,26(9),6083–6085DOI:10.1021/la904014z6085Langmuir 2010,26(9),6083–6085Zhang et al.Lettercell after being incubated together with HRP in phosphate buffer for 30min.With a lower enzyme loading (HRP/GO =3:500,in weight),the particles (bright spots,presumably the immobilized enzyme molecules)on the GO surface were observed (Figure 3a).The average diameter and height of the particles on the GO surfaceare about 140and 15A,respectively.The dimension size of the immobilized HRP molecule,140Â140Â15A,is roughly con-sistent with the dimension size of free HRP,30Â65Â75A3.28This is the first picture of the native immobilized enzyme.The larger average diameter and shorter height of the immobilized HRP molecules revealed that immobilization induced some conforma-tional changes of the HRP molecules.With a higher enzyme loading (HRP/GO =3:50,in weight),the enzyme molecules tethered densely over all of the GO surface in the AFM image (Figure 3b).The distribution of HRP on the GO surface should be determined by the intrinsic sites of the oxygen functionalities.Except for the carboxylic groups,which are located at the periphery,others,such as hydroxyl and epoxide groups,distributed randomly over the GO surface.19The mole ratio of C/O of the GO used in the work is about 4,and thus,HRP may densely bind on the GO surface.This is in agreement with the AFM image (Figure 3b)where we observed the increased surface coverage with higher enzyme loading.The catalytic property of the HRP immobilized on GO was investigated using phenol as a reducing substrate.We found that the initial catalytic reaction rates of the immobilized HRP were linear to the HRP loading under an excess and constant substrate concentration (Figure 3d),though they are relatively lower than that of free HRP.29This result suggested that the voids presented between the immobilized HRP molecules are enough for the free diffusion of substrate and product into and out of the HRP active sites,though the immobilized enzymes seem crowded on the GO surface (see Figure 3b).Given the single atomic layer feature ofthe GO sheet,the total surface area is about 7.05Â1022A2/g,and assuming the average transverse area of one molecule HRP isabout 3000A2,the HRP molecules cover less than 50%of the surface area of GO even with the higher enzyme loading.The catalytic activities of the HRP immobilized on GO with the lower and higher enzyme loadings were further characterized by turnover number (K cat )and enzyme efficiency (K cat /K m ).K m and K cat values were obtained according to the Lineweaver -Burk equation as described in the Supporting Information (Figure S2).The values of the kinetic parameters K m and K cat are summarized in Table 1.The similar K m values for the GO immobilized HRP with the lower and higher enzyme loadings,and free HRP indicated that they all have a similar affinity to the reducing substrate.However,K cat /K m values of the immobilized HRP are lower than those of free HRP.Noticeably,the comparable K cat /K m values for the HRP immobilized on GO with the higher and lower enzyme loadings confirmed that increasing enzyme loading does not affect the enzyme efficiency.The catalytic reactions of the immobilized HRP (with the higher and lower enzyme loadings)with a bulky reducing substrate,2,4,6-trimethylphenol,exhibited similar activity,further supporting this result.Thus,combined with the AFM imaging results,we believe that the observed lower enzymatic activity for the immobilized HRP is mainly due to the HRP conformational changes induced by its binding to GO.According to the number of oxygen containing groups on the GO surface and the transverse area of one HRP molecule,there should be at least an average of two oxygen containing groups of the GO surface interacting with one HRP molecule (Figure 3c).Multiple interactions between the substrate and the enzyme molecule could change the enzyme conforma-tion.11Thus,to maintain the conformation and catalytic cap-ability of the immobilized enzyme,the distribution,number,and property of the functional groups on the substrate surface must be optimized to match the surface of the enzyme being immobilized.ConclusionIn summary,we have demonstrated that individual GO sheets could be used as substrates to study enzyme immobilization.Pronouncedly,the rich surface functional groups of GO make the immobilization of the enzymes happen quickly through electro-static interaction without using any cross-linking reagents;the unique flat surface of GO made it possible to observe the native immobilized enzyme in situ using AFM.We found that the catalytic performance of the immobilized enzymes is determined by the interaction of enzyme molecules with the surface functional groups of the substrate,but the enzyme specific activity is not influenced by the enzyme loading as far as the substrate surface was not fully covered by the enzyme.Based on the AFM images and enzyme activity assay,we conclude that full retention of the conformation of immobilized enzyme should be the key to improve its catalytic performance.Acknowledgment.This work was supported by the National “973Program”(Nos.2007CB936000and 2010CB933900)and the NSFC of China (Nos.20774029and 20671034).Supporting Information Available:FT-IR spectrum of GO and catalytic data of the immobilized HRP.This material is available free of charge via the Internet at .Figure 3.Tapping mode AFM images of the GO-bound HRPwith (a)lower and (b)higher enzyme loadings acquired in a liquid cell.(c)Schematic model of the GO-bound HRP.(d)Initial reaction rates of GO-bound HRP versus HRP concentration.Table 1sampleK m (mM)K cat (s -1)K cat /K m (mM -1s -1)Free HRP2.27161.7(34.1071.2GO Immobilized HRP (lower loading)1.96(0.2133.6(1.2017.1(1.22GO immobilized HRP (higher loading)1.76(0.1036.6(2.9020.8(0.52(28)Henriksen,A.;Schuller,D.J.;Meno,K.;Smith,A.T.;Gajhede,M.Biochemistry 1998,37,8504–8060.(29)Cooper,V.A.;Nicell,J.A.Water Res.1996,30,954–964.。
Sysmex XN Series and SP-10 MaintenanceDocument Number: RHEAHS14010MUL Revision Number: 2.50 Document Type: Procedure Effective Date: 6/17/2022 2:26:04 PM Location: 3. APL Folder Structure\Hematology HE\CBC and Differential\Sysmex XN - 59\Edmonton ZoneRHEAHS14010MUL Sysmex XN Series and SP-10 MaintenanceAPPLICABILITYThis document is applicable to APL staff at the following Edmonton Zone sites: GNH,RAH, SGH and UAH.PURPOSEThis procedure describes how to perform the daily clean, shutdown, startup and maintenance (daily, weekly and monthly) of the Sysmex XN series and SP-10 analyzers.MATERIALSPROCEDURE4.1. XN Series MaintenanceAll maintenance procedures must be signed off on the Sysmex XN Series Maintenance form.4.1.1. Daily4.1.2. Weekly4.1.3. Monthly4.1.4. Every Six Months4.1.5. Yearly or As Needed4.2. SP-10 Maintenance (RAH and UAH only)All maintenance procedures should be signed off on the Sysmex SP-10 Maintenance form.4.2.1. DailyWhen in shutdown, remove the trap chamber from the right side of4.2.2.Weekly4.2.3.As NeededREFERENCES1. Sysmex XN-1000 / XN-2000 Automated Hematology Analyzers CLSI Procedure, Document number:1004-LSS. Rev. 1, March 20132. XN Series (For XN-1000 system) Instructions for Use (North American Edition), November 2012.3. SP-10 Instructions for use.4. XN-9000 Instructions for use.RELATED DOCUMENTSRHEAHF14010MULA Sysmex XN Series MaintenanceRHEAHS14006MUL Sysmex XN Series - Performing QCRHEAHS14019MUL Sysmex XN Series - Manual Shutdown and StartupRHERHS00004MUL Inter-Instrument Variability for Hematology Coagulation and Special Coagulation AnalyzersRHERHF00002MUL Hematology Inter-Instrument Variability Excel WorksheetRQMPCS14000MUL Annual Autovalidation CheckRHEAHF14010MULB Sysmex SP-10 MaintenanceHE24-097 Evaluating Quality Control using the Beyond Care Quality Monitoring BCQM System。
CUMS对焦虑小鼠海马与前额叶皮层锥体神经元兴奋/抑制平衡的影响朱传安1,陈进东1,杨海永2,夏玉平1,黄志源1△(1.厦门市仙岳医院中西医结合精神科,福建厦门361012;2.陕西中医药大学,咸阳712046)【摘要】 目的:探索慢性不可预见性温和性刺激(CUMS)所致焦虑障碍小鼠额叶皮层与海马锥体神经元兴奋/抑制(E/I)平衡的变化。
方法:24只C57/BL6雄性小鼠随机区组分为对照组(CTRL)与模型组(CUMS),每组12只。
CUMS组小鼠进行为期21d的应激,包括束缚1h、昼夜颠倒24h、温水强迫游泳5min、禁食/禁水24h、潮湿环境饲养18h、摇晃鼠笼30min、白噪音1h、社交应激10min,CTRL组小鼠正常饲养。
随后进行焦虑相关行为学及全细胞记录检测。
结果:与CTRL组比较,CUMS组小鼠旷场试验中进入中央区时间明显减少(P<0.01),高架十字迷宫实验中进入开臂的时间明显减少(P<0.01)、次数明显减少(P<0.01),闭臂停留时间明显增加(P<0.01),小鼠dlPFC、mPFC、vCA1锥体神经元sEPSC频率、电容量与E/I比值均明显增加(P<0.01),sEPSC幅度、sIPSC频率、幅度、电容量均无明显改变(P>0.05);而小鼠dCA1锥体神经元sEPSC与sIPSC的频率、幅度、电容量及E/I比值,则均无明显改变(P>0.05)。
结论:CUMS所致小鼠焦虑样行为,可能是多脑区参与的结果,主要与dlPFC、mPFC、vCA1脑区的锥体神经元兴奋性增加有关,而与dCA1脑区似乎关系不大。
【关键词】 焦虑障碍;慢性不可预见性温和性应激;前额叶皮层;海马;兴奋/抑制平衡;小鼠【中图分类号】Q423 【文献标识码】A 【文章编号】1000 6834(2022)06 814 006【DOI】10.12047/j.cjap.6334.2022.148EffectsofCUMSonexcitatory/inhibitorybalanceofhippocampalandprefrontalcortexpyramidalneuronsinanxiety likemiceZHUChuan an1,CHENJin dong1,YANGHai yong2,XIAYu ping1,HUANGZhi yuan1△(1.DepartmentofPsychiatryofIntegratedTraditionalChineseandWesternMedicine,XiamenXianyueHospital,Xiamen361012;2.ShaanxiUniversityofChineseMedicine,Xianyang712046,China)【ABSTRACT】Objective:Toexplorethechangesintheexcitatory/inhibitory(E/I)balanceofpyramidalneuronsinprefrontalcor texandhippocampusinmicewithanxietydisorderinducedbychronicunpredictablemildstress(CUMS).Methods:Twenty fourC57/BL6malemicewererandomlydividedintocontrolgroup(CTRL)andmodelgroup(CUMS),with12miceineachgroup.ThemiceinCUMSgroupweresubjectedto21daysofstress,includingrestraintfor1h,reversedday/nightcyclefor24h,forcedwarmwaterbathfor5min,water/fooddeprivationfor24h,housinginwetsawdustfor18h,shakingthecagefor30min,noisefor1h,andsocialstressfor10min.CTRLgroupmicewerefednormally.Anxiety relatedbehavioraltestsandwhole cellrecordingtestswereper formedaftermodeling.Results:ComparedwithCTRLgroup,thetimeofspentinthecentralarenaofCUMSgroupwasreducedsignifi cantlyinopenfieldtest(P<0.01),thetimeandnumberofenteringtheopenarmsweredecreasedsignificantlyinelevatedplusmazetest(P<0.01),andthetimeofstayingintheclosedarmswasincreasedsignificantlyinCUMSgroup(P<0.01).ThesEPSCfrequen cy,capacitanceandE/IratioofdlPFC,mPFCandvCA1pyramidalneuronsofmiceinCUMSgroupwereincreasedsignificantly(P<0.01),whilesEPSCamplitude,sIPSCfrequency,amplitudeandcapacitancewerenotsignificantlychanged(P>0.05).Thefrequen cy,amplitude,capacitanceandE/IratioofsEPSCandsIPSCofdCA1pyramidalneuronswerenotsignificantlychanged(P>0.05).Conclusion:Theanxiety likebehaviorofCUMS inducedmicemaybetheresultoftheparticipationofmultiplebrainregions,whichismainlyrelatedtotheincreaseoftheexcitabilityofpyramidalneuronsindlPFC,mPFCandvCA1brainregions,butseemstohavelittlerelationshipwithdCA1brainregions.【KEYWORDS】 anxietydisorders; chronicunpredictablemildstress; prefrontalcortex; hippocampus; excitatory/inhibitorybalance; mice 【基金项目】国家自然科学基金青年项目(82105015);福建省卫健委科技计划项目青年课题(2021QNB026)【收稿日期】2022 06 28【修回日期】2022 11 22 △【通讯作者】Tel:13306025996;E mail:awpxmcn@qq.com 焦虑障碍(anxietydisorder)是以焦虑综合征为主要临床表现的一组高发的精神障碍,临床表现以担心、恐惧和忧虑的内心体验伴紧张不安的精神症状和以交感神经功能亢进,如心慌、胸闷、出汗等躯418ChinJApplPhysiol,2022,38(6)Copyright©博看网. All Rights Reserved.体症状为主[1]。
ST-588PTSA/Fluorescent Polymer DualInline SensorUser ManualOctober12,2020Rev.2.00Pyxis Lab,Inc.1729Majestic Dr.Suite5Lafayette,CO80026USA©2017Pyxis Lab,Inc.Pyxis Lab Proprietary and ConfidentialTable of Contents1Introduction21.1Main Features (2)2Specifications3 3Unpacking Instrument43.1Standard Accessories (4)3.2Optional Accessories (5)4Installation64.1ST-588Piping (6)4.2ST-588SS Piping (6)4.3Wiring (7)4.4Connecting via Bluetooth (8)4.5Connecting via USB (8)5Setup and Calibration with uPyxis®Mobile App95.1Download uPyxis®Mobile App (9)5.2Connecting to uPyxis®Mobile App (9)5.3Calibration Screen and Reading (10)5.4Diagnosis Screen (11)5.5Device Info Screen (12)6Setup and Calibration with uPyxis®Desktop App126.1Install uPyxis®Desktop App (12)6.2Connecting to uPyxis®Desktop App (13)6.3Information Screen (13)6.4Calibration Screen (14)6.5Diagnosis Screen (14)7Outputs157.14–20mA Output Setup (15)7.2Communication using Modbus RTU (15)8Sensor Maintenance and Precaution158.1Methods to Cleaning the ST-588 (16)8.2Storage (16)9Troubleshooting17 10Contact Us18Warranty InformationConfidentialityThe information contained in this manual may be confidential and proprietary and is the property of Pyxis Lab,rmation disclosed herein shall not be used to manufacture,construct,or otherwise reproduce the goods rmation disclosed herein shall not be disclosed to others or made public in any manner without the express written consent of Pyxis Lab,Inc.Standard Limited WarrantyPyxis Lab warrants its products for defects in materials and workmanship.Pyxis Lab will,at its option,repair or replace instrument components that prove to be defective with new or remanufactured components (i.e.,equivalent to new).The warranty set forth is exclusive and no other warranty,whether written or oral, is expressed or implied.Warranty TermThe Pyxis warranty term is thirteen(13)months ex-works.In no event shall the standard limited warranty coverage extend beyond thirteen(13)months from original shipment date.Warranty ServiceDamaged or dysfunctional instruments may be returned to Pyxis for repair or replacement.In some in-stances,replacement instruments may be available for short duration loan or lease.Pyxis warrants that any labor services provided shall conform to the reasonable standards of technical com-petency and performance effective at the time of delivery.All service interventions are to be reviewed and authorized as correct and complete at the completion of the service by a customer representative,or des-ignate.Pyxis warrants these services for30days after the authorization and will correct any qualifying deficiency in labor provided that the labor service deficiency is exactly related to the originating event.No other remedy,other than the provision of labor services,may be applicable.Repair components(parts and materials),but not consumables,provided during a repair,or purchased individually,are warranted for90days ex-works for materials and workmanship.In no event will the in-corporation of a warranted repair component into an instrument extend the whole instrument’s warranty beyond its original term.Warranty ShippingA Repair Authorization(RA)Number must be obtained from Pyxis Technical Support before any product can be returned to the factory.Pyxis will pay freight charges to ship replacement or repaired products to the customer.The customer shall pay freight charges for returning products to Pyxis.Any product returned to the factory without an RA number will be returned to the customer.To receive an RMA you can generate a request on our website at https:///request-tech-support/.Pyxis Technical SupportContact Pyxis Technical Support at+1(866)203-8397,*********************,or by filling out a request for support at https:///request-tech-support/.1IntroductionThe Pyxis ST-588inline fluorometer probe simultaneously measures the concentration of PTSA and Fluores-cent Polymer in water.It can be simply inserted to the compression fitting port of a custom-made tee.The standard ST-001installation tee provided with each ST-588sensor,has two¾inch female NPT ports and can be placed to an existing¾inch sample water line.Pyxis Lab also offers2”and3”Tee formats for larger flow installations.The4–20mA current output of the ST-588probe can be connected to any controller that accepts an isolated or non-isolated4–20mA input.The ST-588probe is a smart device.In addition to mea-suring PTSA and Fluorescent Polymer,the ST-588probe has extra photo-electric components that monitor the color and turbidity of the sample water.This extra feature allows automatic color and turbidity com-pensation to eliminate interference commonly associated with real-world waters.The Pyxis ST-588probe has a short fluidic channel and can be easily cleaned.The fluidic and optical ar-rangement of the ST-588probe is designed to overcome shortcomings associated with other fluorometers that have a distal sensor surface or a long,narrow fluidic cell.Traditional inline fluorometers are susceptible to color and turbidity interference and fouling and are difficult to properly clean.1.1Main FeaturesThe ST-588measures PTSA and Fluorescent Polymer in a water sample and includes the following features:•Easy calibration with using uPyxis®Mobile or Desktop App.•Automatic compensation for turbidity up to150NTU and color created by up to10ppm iron or equivalent to10ppm humic acid.•Diagnostic information(probe fouling,color or turbidity over range,failure modes)are available in uPyxis®App or via Modbus RTU.•Easy to remove from the system for cleaning and calibration without the need for any tools.2SpecificationsTable1.ST-588Specifications*With Pyxis’s continuous improvement policy,these specifications are subject to change without notice.†The fluorescent polymer concentration scale is based on the polymer containing0.25mole%fluorescent monomer.Typical polymer specifications are attached below but may vary by producer.‡See Figure4for ST-588SS dimensions.3Unpacking InstrumentRemove the instrument and accessories from the shipping container and inspect each item for any damage that may have occurred during shipping.Verify that all accessory items are included.If any item is missing or damaged,please contact Pyxis Lab Customer Service at*********************.3.1Standard Accessories•Tee Assembly3/4”NPT(1x Tee,O-ring,and Nut)P/N:ST-001*NOTE*ST-001is not included for ST-588SS•8-Pin Female Adapter/Flying Leads Cable(1.5ft)•User Manual available online at https:///support/3.2Optional AccessoriesFigure1.4Installation4.1ST-588PipingThe provided ST-001Tee Assembly can be connected to a pipe system through the3/4”female ports,either socket or NPT threaded.To properly install the ST-588probe into the ST-001Tee Assembly,follow the steps below:1.Insert the provided O-ring into the O-ring groove on the tee.2.Insert the ST-588probe into the tee.3.Tighten the tee nut onto the tee to form a water-tight,compression seal.Figure2.Dimension of the ST-588and the ST-001Tee Assembly(mm)4.2ST-588SS PipingThe ST-588SS probe has3/4”female NPT threaded ports on the probe itself and therefore does not require a custom tee assembly.It is recommended that two3/4”NPT to1/4”tubing adapters are used to connect the probe to the sampling system.Sample water entering the probe must be cooled down to below104°F (40°C).The probe can be held by a1.75-inch pipe clamp or mounted to a panel with four1/4-28bolts.See Figure4for ST-588SS dimensions.Figure3.Dimension of the ST-588SS(inch)4.3WiringIf the power ground terminal and the negative4–20mA terminal in the controller are internally connected (non-isolated4–20mA input),it is unnecessary to connect the4–20mA negative wire(gray)to the4–20mA negative terminal in the controller.If a separate DC power supply other than that from the controller is used,make sure that the output from the power supply is rated for22–26VDC@85mA.*NOTE*The negative24V power terminal(power ground)and the negative4–20mA ter-minal on the ST-588probe are internally connected.Follow the wiring table below to connect the ST-588probe to a controller:Table2.*Internally connected to the power ground4.4Connecting via BluetoothA Bluetooth adapter(P/N:MA-WB)can be used to connect a ST-588probe to a smart phone with the uPyxis®Mobile App or a computer with the uPyxis®Desktop App.Figure4.Bluetooth connection to ST-588probe4.5Connecting via USBA USB-RS485adapter(P/N:MA-485)can be used to connect a ST-588probe to a computer with the uPyxis®Desktop App.*NOTE*Using non-Pyxis USB-RS485adapters may result in permanent damage of the ST-588probe communication hardware.B connection to ST-588probe5Setup and Calibration with uPyxis®Mobile App5.1Download uPyxis®Mobile AppDownload uPyxis®Mobile App from Apple App Store or Google Play.Figure6.5.2Connecting to uPyxis®Mobile AppTurn on Bluetooth on your mobile phone(Do not pair the phone Bluetooth to the ST-588probe).Open uPyxis®Mobile App.Once the app is open the app will start to search for the sensor.Once the uPyxis®Mobile App connects to the sensor,press the ST-588probe.Figure7.5.3Calibration Screen and ReadingWhen connected,the uPyxis®Mobile App will default to the Calibration screen.From the Calibration screen,you can perform calibrations by pressing on Zero Calibration,Slope Calibration,and4–20mA Span for either Fluorescent Polymer or PTSA,independently.Follow the screen instructions for each calibration step.Figure8.5.4Diagnosis ScreenFrom the Diagnosis screen,you can check the diagnosis condition.This feature may be used for technical support when communicating with*********************.To preform a probe cleaniness check,first select the Diagnosis Condition which defines the fluid type that the ST-588probe in currently measuring,then press Cleanliness Check.If the probe is clean,a Clean mes-sage will be shown.If the probe is severely fouled,a Dirty message will be shown.In this case,follow the procedure in the Methods to Cleaning the ST-588section of this manual.Figure9.5.5Device Info ScreenFrom the Device Info screen.You can name the Device or Product as well as set the Modbus address.Figure10.6Setup and Calibration with uPyxis®Desktop App6.1Install uPyxis®Desktop AppDownload the latest version of uPyxis®Desktop software package from:https:///upyxis/this setup package will download and install the Framework4.5(if not previously installed on the PC),the USB driver for the USB-Bluetooth adapter(MA-NEB),the USB-RS485adapter(MA-485),and the main uPyxis®Desktop application.Double click the uPyxis.Setup.exe file to install.Figure11.Click Install to start the installation process.Follow the screen instructions to complete the USB driver and uPyxis®installation.6.2Connecting to uPyxis®Desktop AppWhen the uPyxis®Desktop App opens,click on Device,then click either Connect via USB-Bluetooth or Connect via USB-RS485depending on the connection type.Figure12.6.3Information ScreenOnce connected to the device,a picture of the device will appear on the top left corner of the window and the uPyxis®Desktop App will default to the Information screen.On the Information screen you can set the information description for Device Name,Product Name,and Modbus Address,then click Apply Settings to save.Figure13.6.4Calibration ScreenTo calibrate the device,click on Calibration.On the Calibration screen there are six calibration options:•Fluorescent Polymer:Zero Calibration,Slope Calibration,and4-20mA Span•PTSA:Zero Calibration,Slope Calibration,and4-20mA SpanThe screen also displays the reading of the device.The reading refresh rate is every4seconds.Figure14.6.5Diagnosis ScreenAfter the device has been calibrated and installation has been completed,to check diagnosis,click on Di-agnosis.When in the Diagnosis screen you can view the Diagnosis Condition of the device.This feature may be used for technical support when communicating with*********************.To preform a probe Cleaniness Check,first select the Diagnosis Condition which defines the fluid type that the ST-588probe inCheck.If the probe is clean,a Clean message will be shown.message will be shown.In this case,follow the procedure in theof this manual.Figure15.7Outputs7.14–20mA Output SetupThe4–20mA output of the ST-588sensor is scaled as:•Fluorescent Polymer:–4mA=0ppm–20mA=20ppm•PTSA:–4mA=0ppb–20mA=200ppb7.2Communication using Modbus RTUThe ST-588probe is configured as a Modbus slave device.In addition to the ppm Fluorescent Polymer and ppb PTSA values,many operational parameters,including warning and error messages,are available via a Modbus RTU connection.Contact Pyxis Lab Customer Service(*********************)for more informa-tion.8Sensor Maintenance and PrecautionThe ST-588probe is designed to provide reliable and continuous Fluorescent Polymer and PTSA readings even when installed in moderately contaminated industrial cooling waters.Although the optics are com-pensated for the effects of moderate fouling,heavy fouling will prevent the light from reaching the sensor, resulting in low readings and the potential for product overfeed if the ST-588probe is used as part of an au-tomated control system.When used to control product dosing,it is suggested that the automation system be configured to provide backup to limit potential product overfeed,for example by limiting pump size or duration,or by alarming if the pumping rate exceeds a desired maximum limit.The ST-588probe is designed to be easily removed,inspected,and cleaned if required.It is suggested that the ST-588probe be checked for fouling and cleaned/calibrated on a monthly basis.Heavily contam-inated waters may require more frequent cleanings.Cleaner water sources with less contamination may not require cleaning for several months.The need to clean the ST-588probe can be determined by the Cleanliness Check using either the uPyxis®Mobile App(see the Mobile Diagnosis Screen section)or the uPyxis®Desktop App(see the Desktop Diagnosis Screen section).8.1Methods to Cleaning the ST-588Any equipment in contact with industrial cooling systems is subject to many potential foulants and con-taminants.Our inline probe cleaning solutions below have been shown to remove most common foulants and contaminants.A small,soft bristle brush,Q-Tips cotton swab,or soft cloth may be used to safely clean the probe housing and the quartz optical sensor channel.These components and more come with a Pyxis Lab Inline Probe Cleaning Solution Kit(P/N:SER-01)which can be purchased at our online Estore/Catalog https:///product/probe-cleaning-kit/Figure16.Inline Probe Cleaning Solution KitTo clean the ST-588probe,soak the lower half of the probe in100mL inline probe cleaning solution for 10minutes.Rinse the ST-588probe with distilled water and then check for the flashing blue light inside the ST-588probe quartz tube.If the surface is not entirely clean,continue to soak the ST-588probe for an e the small,soft bristle brush and Q-Tips cotton swabs as necessary to remove any remaining contaminants in the ST-588probe quartz tube.8.2StorageAvoid long term storage at temperature over100°F.In an outdoor installation,properly shield the ST-588 probe from direct sunlight and precipitation.9TroubleshootingIf the ST-588probe output signal is not stable and fluctuates significantly,make an additional ground con-nection––connect the clear(shield,earth ground)wire to a conductor that contacts the sample water electrically such as a metal pipe adjacent to the ST-588tee.Carry out routine calibration verification against a qualified Fluorescent Polymer and PTSA combined stan-dard.After properly cleaning the ST-588sensor,carry out the zero point calibration with distilled water and slope calibration using the qualified Fluorescent Polymer and PTSA combined standard.10Contact UsPyxis Lab,Inc1729Majestic Dr.Suite5Lafayette,CO80026USAPhone:+1(866)203-8397Email:*********************。
Way. Better In Every TM Cummins ISX15 For EPA 2010For Truck Applications.Every TM Aspect. Improved.Cummins ISX15 is meeting the 2010 EPA standards with a solution that does more than achieve lower emissions. Our totally integrated, driver-friendly engine package delivers better fuel economy with better performance and exceptional reliability. How much better? The ISX15 for EPA 2010 delivers up to 6 percent better fuel economy and near-zero emissions.Every System. Integrated.Cummins is the only engine manufacturer to design and develop, manufacture and support every component from the air handling to the exhaust aftertreatment in a totally integrated system. This allows us to optimize critical systems to deliver the right technology to our customers in a way that other engine manufacturers using outside suppliers simply can’t match.The ISX15 features our exclusive XPI fuel system.Of all North American manufacturers, only Cummins has the in-house capabilities to design and manufacture this critical element. The XPI fuel system is capable of the highest injection pressures in the industry, with a common-rail design that delivers strong performance independent of engine speed. Multiple injection events provide better fuel economy and help reduce engine noise. The integrated systems of the ISX15 also includea VGT™ Turbocharger custom-built byCummins Turbo Technologies. Since 2002, this proven technology has set the industry standard for precision, performance and reliability.Lower Operating Costs. Every Day.Customer experience proves that the Cummins ISX15 for EPA 2010 integrated engine package delivers up to 6 percent better fuel economy. A key factor in this gain is the use of the proprietary EcoFit™ Ultra-Low Emission (ULE) System from Cummins Emission Solutions consisting of Selective Catalytic Reduction (SCR), a Diesel Particulate Filter (DPF) and dosing products, which allows Cummins to lower the amount of cooled Exhaust Gas Recirculation (EGR) in the power cylinder and recalibrate the engine for moreefficient combustion and increased fuel economy.SmartTorque ratings continue to be offered on the ISX15, adding up to 200 lb-ft of extra torque in the top two gears so drivers can maintain road speed going up steep grades with fewer downshifts and better fuel economy. Plus, ISX15 Vocational ratings are available, delivering extra torque in the lower gears for dump trucks, mixers and refuse vehicles.Gearing Recommendations.Vehicle gearing is a major factor in optimizing performance and fuel economy. Cummins PowerSpec is a software program that helps you quickly identify the axle ratio your truck needs. Go to for gearing recommendations.Even fleets with less-experienced drivers will see bigger gains. The reason? The ISX15 has a "sweet spot" that’s three times larger than those of previous engines. Plus, the fully integrated technology of the ISX15 requires fewer regeneration events, saving even more fuel.Maintenance intervals and costs remain virtually unchanged for the ISX15, with the only additional maintenance items being a cleaning of thehydrocarbon doser injector every 150,000 miles (240,000 km) and replacement of the Diesel Exhaust Fluid (DEF) filter at 200,000-mile (320,000 km)intervals. The DEF tank needs to be refilled only about every second or third diesel fill-up.Not only will it cost less to operate, but the big-bore ISX15 will also deliver a higher resale value at trade-in than smaller displacement engines.Your local Cummins distributor can calculate your operational and life-cycle savings when you spec a Cummins engine, helping to improve your bottom line.Every Driver. Satisfied.We understand the importance of keeping drivers happy. So one of our major goals with the ISX15 is to deliver an engine with all the power and performance that drivers want and need. That’s exactly what this engine delivers! Of course, it still has all the greatadvances from the last 10 years, including the best-in-class 600-bhp Intebrake ™ system, Load-Based Speed Control (LBSC), Gear-Down Protection (GDP) and all the programmable parameters that allow you to customize vehicle performance – parameters that are easily set using our PowerSpec program().ISX15 SpecificationsAdvertised Horsepower 400-600 hp 298-447 k WPeak Torque 1450-2050 lb -ft 1966-2779 N•mGoverned Speed2200 rpm Clutch Engagement Torque 1000 lb -ft1356 N•m Number of Cylinders 6 System Weight 3,186 lb 1,445 kg Engine (Dry)2,964 lb 1,344 kg Aftertreatment System*222 lb101 kg * I ncrease over standard muffler and does not include chassis OEM-suppliedcomponents.ISX15 RatingsEngine ModelAdvertised Horsepower (kW)Peak Torque lb-ft (N•m) @ rpmISX15 600 600 (447) 2050 (2779) @ 1200 ISX15 600 600 (447) 1850 (2508) @ 1200ISX15 550 550 (410) 2050 (2779) @ 1200ISX15 550 550 (410) 1850 (2508) @ 1200ISX15 525 525 (392) 1850 (2508) @ 1200ISX15 500 500 (373) 1850 (2508) @ 1200ISX15 500 500 (373) 1650 (2237) @ 1200ISX15 485 485 (362) 1850 (2508) @ 1200ISX15 485 485 (362) 1650 (2237) @ 1200ISX15 450 450 (336) 1650 (2237) @ 1100ISX15 450 450 (336) 1550 (2102) @ 1100ISX15 425 425 (317) 1650 (2237) @ 1100ISX15 400 400 (298) 1450 (1966) @ 1100SmartTorque RatingsISX15 500 ST 500 (373) 1650/1850 (2237/2508) @ 1200ISX15 485 ST 485 (362) 1650/1850 (2237/2508) @ 1200ISX15 450 ST 450 (336) 1550/1750 (2102/2373) @ 1100 ISX15 450 ST 450 (336) 1450/1650 (1966/2237) @ 1100ISX15 425 ST 425 (317) 1550/1750 (2102/2373) @ 1100ISX15 425 ST 425 (317) 1450/1650 (1966/2237) @ 1100 ISX15 400 ST 400 (298) 1550/1750 (2102/2373) @ 1100 ISX15 400 ST 400 (298) 1450/1650 (1966/2237) @ 1100Vocational Ratings ISX15 500V 500 (373) 1850 (2508) @ 1200ISX15 500V 500 (373) 1650 (2237) @ 1200ISX15 435V435 (325)1450 (1966) @ 1100Cummins is a pioneer in product improvement. Thus, specifications may change without notice. Illustrations may include optional equipment.Oil Drain Intervals *Linehaul Trucks Duty Cycles** Miles Kilometers Severe 15,000 24,000Normal 25,000 40,000Light35,00056,000Vocational Trucks*** Hours Miles Kilometers 40015,00024,000ISX15 Maintenance IntervalsMaintenance Item Miles/KilometersHours Months Fuel Filter 25,000 mi 400 640,000 km Coolant Filter* 50,000 mi 1,500 1280,000 km Valve Adjustment 500,000 mi 6,000 24800,000 km Coalescing Filter 125,000 mi 4,000 200,000 km DEF Filter 200,000 mi320,000 km Hydrocarbon Doser 150,000 mi Injector Cleaning 240,000 km Particulate Filter Cleaning 300,000 mi482,803 km*With appropriate filter.* Using CJ-4 oil** Light Duty = > 6.5 mpg, Normal Duty = 5.5-6.5 mpg, Severe Duty = < 5.5 mpg *** Vocational applications include refuse, mixer, dump or delivery truckWarranty Coverage.Cummins base enginewarranty coverage* isnow simpler and morecomprehensive thanever. It includes virtuallyeverything – parts,labor, consumables andprogressive damage oneverything from the block casting to the injectors for 2 years/250,000 miles (402,336 km). All Cummins-branded elements in the EcoFit ULE System, from the Cummins Particulate Filter to the hydrocarbon doser injector, decomposition reactor and SCR catalyst, are covered – with no deductible. It’s ironclad proof that you can take to the bank.Extended Coverage.You can plan your maintenance and repair budgets with confidence when you have an extended coverage plan on your ISX15 engine.A wide variety of protection plans are offered,so you can choose the one that best meets your equipment trade cycle and financial goals. Contact your local Cummins distributor or dealer for additional details.*Covers defects in Cummins materials or factory workmanship.A Better Choice.Cummins offers the largest and most capable service and support network in North America. Our authorized service technicians are fully trained on all our engines and have the necessary equipment and Genuine Cummins Parts to promptly handle any type of service issue.We also provide you with 24/7/365 access to Cummins representatives. Just call Cummins Careat 1-800-DIESELS™ (1-800-343-7357). Cummins representatives are standing by every hour of every day, and they will check with local authorized Cummins distributors and dealers to determine the nearest facility with an available technician and the right diagnostic and repair tools to handle your equipment issue. Your Cummins representative will help get you to one of the nearest available 3,500 authorized locations.Cummins ISX15 for EPA 2010 is a better solutionto meet all your needs – from near-zero emissions and better fuel economy to driver-pleasing performance and proven reliability. For more information about the ISX15, visit your local Cummins distributor or dealer, phone CumminsCare at 1-800-DIESELS (1-800-343-7357) or visit.Cummins Inc.Box 3005Columbus, IN 47202-3005U.S.A.Phone: 1-800-DIESELS™ (1-800-343-7357) Fax: 1-800-232-6393Internet: T /CumminsEngines /CumminsEnginesBulletin 4971239 Printed in U.S.A. Rev. 7/12©2012 Cummins Inc.。