Response Surface Methods
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响应面法优选达原饮颗粒的提取工艺
作者:欧阳炜 朱雅玲 洪笃云
来源:《世界中医药》2020年第11期
摘要 目的:优选达原饮颗粒的最佳提取工艺。方法:采用Box-Behnken响应面法,以浸膏得率与厚朴酚、和厚朴酚含量的总评归一值为评价指标,对达原饮颗粒提取工艺条件进行优选。结果:得到达原饮颗粒的最优值为提取次数2.42次,提取时间0.96 h,加溶剂量10倍,预测值OD=0.948,根据实际生产选择最优条件为提取时间55 min,加水量10倍,提取2次,OD=0.895。结论:优选得到的提取工艺经验证重复性高,结果稳定。 关键词 达原饮颗粒;提取工艺;Box-Behnken响应面法;含量测定;厚朴酚;和厚朴酚;瘟疫;经典方
Abstract Objective:To optimize extraction process of Dayuan Granules.Methods:Based on
Box-Behnken design-response surface method,the sum of the extraction yield,magnolol,and
magnolol content were the evaluation index and the extraction process conditions of Dayuanyin
Granules was optimized.Results:The optimal value of Dayuanyin Granules was 2.42 extraction
times,0.96 h extraction time,10 times the amount of solvent added,and the predicted value
OD=0.948.According to the actual production,the optimal conditions were selected as 55 minutes
Box—BehnkenDesign效应面法在制剂处方优化中的应用
Box-Behnken Design(BBD)效应面法是一种实验条件寻优的方法,采用多元二次回归方程拟合各因素与响应值之间的函数关系,找出预测的响应最优值以及相应的实验条件,是种多因素非线性实验优化方法,可以评估因素的非线性影响,在处方优化中广泛使用。该设计方法试验次数少,应用方便,优选的条件预测性好。目前,微球、自乳化释药体系、脂质体等制剂的处方优化越来越多选择BBD的优化法。
[Abstract] Box-Behnken Design (BBD) response surface method is a method
of optimal experimental conditions. It finds out the optimal prediction of response
values and the corresponding experimental conditions between the multivariate
regression equation fitting each factor and response values. It is a kind of multi-factor
non-linear optimization experiment method, can be used for assessed the non-linear
effects of factors, and it is widely used in formulation optimization. This design has
the advantages of fewer experiments, convenience and better prediction. At present,
BBD can be used more and more frequently to optimize the formulation of
现代农业科技2024年第3期加工贮运·食品安全
响应面法优化角蛋白酶降解鸡毛
郑显奇童应凯黄亮*
(天津农学院,天津300300)
摘要为了合理利用羽毛,减轻对环境的污染,本研究以鸡毛为原料,以鸡毛降解率为指标,确定合适加酶量为5000U/g,通过单因素试验和响应面试验对角蛋白酶降解鸡毛工艺条件进行优化。试验结果表明,当加酶量为5000U/g、酶解温度为64℃、料液比为1∶48(g/mL)、酶解时间为5h、酶解初始pH值为8.70时,鸡毛降解率达55.10%。本研究确定了角蛋白酶酶解鸡毛最佳工艺条件,可为羽毛的开发利用提供理论依据。关键词鸡毛;响应面法;角蛋白酶中图分类号S816.48;S879文献标识码A文章编号1007-5739(2024)03-0136-05DOI:10.3969/j.issn.1007-5739.2024.03.031开放科学(资源服务)标识码(OSID):
OptimizationofHydrolysisofChickenFeatherswithKeratinasebyResponseSurfaceMethod
ZHENGXianqiTONGYingkaiHUANGLiang*
(TianjinAgriculturalUniversity,Tianjin300300)AbstractInordertomakereasonableuseoffeathersandreduceenvironmentalpollution,thisstudyusedchickenfeathersasrawmaterialsandthedegradationrateofchickenfeathersasanindicator.Theappropriateenzymedosagewasdeterminedtobe5000U/g.Theprocessconditionsforkeratinasehydrolysisofchickenfeatherswereoptimizedthroughsinglefactorexperimentsandresponsesurfacemethodexperiments.Theexperimentalresultsshowedthatwhentheenzymedosagewas5000U/g,theenzymatichydrolysistemperaturewas64℃,thematerialliquidratiowas1∶48(g/mL),theenzymatichydrolysistimewas5hours,andtheinitialpHvalueoftheenzymatichydrolysiswas8.70,thedegradationrateofchickenfeathersreached55.10%.Thisstudydeterminedtheoptimalprocessconditionsforthehydrolysisofchickenfeatherswithkeratinase,whichcouldprovideatheoreticalbasisforthedevelopmentandutilizationoffeathers.
EngineeringStructures32(2010)2455–2465
ContentslistsavailableatScienceDirect
EngineeringStructures
journalhomepage:/locate/engstruct
Finiteelementmodelupdatinginstructuraldynamicsbyusingtheresponse
surfacemethod
Wei-XinRen∗,Hua-BingChen
DepartmentofCivilEngineering,CentralSouthUniversity,Changsha,410075,ChinaNationalEngineeringLaboratoryforHighSpeedRailwayConstruction,Changsha,410075,China
articleinfo
Articlehistory:Received3February2009Receivedinrevisedform6April2010Accepted7April2010Availableonline4May2010
Keywords:ResponsesurfaceFiniteelementModelupdatingOptimizationDesignofexperimentRegressionanalysisabstract
Fast-runningresponsesurfacemodelsthatapproximatemultivariateinput/outputrelationshipsoftime-consumingphysical-basedcomputermodelsenableeffectivefiniteelement(FE)modelupdatinganalyses.Inthispaper,aresponsesurface-basedFEmodelupdatingprocedureforcivilengineeringstructuresinstructuraldynamicsispresented.Thekeyissuestoimplementsuchamodelupdatingarediscussedsuchassamplingwithdesignofexperiments,selectingthesignificantupdatingparametersandconstructingaquadraticpolynomialresponsesurface.Theobjectivefunctionisformedbytheresidualsbetweenanalyticalandmeasurednaturalfrequencies.Single-objectiveoptimizationwithequalweightsofnaturalfrequencyresidualofeachmodeisusedforoptimizationcomputation.Theproposedprocedureisillustratedbyasimulatedsimplysupportedbeamandafull-sizeprecastcontinuousboxgirderbridgetestedunderoperationalvibrationconditions.Theresultshavebeencomparedwiththoseobtainedfromthetraditionalsensitivity-basedFEmodelupdatingmethod.Therealapplicationtoafull-sizebridgehasdemonstratedthattheFEmodelupdatingprocessisefficientandconvergesfastwiththeresponsesurfacetoreplacetheoriginalFEmodel.Withtheresponsesurfaceathand,anoptimizationproblemisformulatedexplicitly.Hence,noFEcalculationisrequiredineachoptimizationiteration.Theresponsesurface-basedFEmodelupdatingcanbeeasilyimplementedinpracticewithavailablecommercialFEanalysispackages.©2010ElsevierLtd.Allrightsreserved.