application of response surface methodology to optimize

application of response surface methodology to optimize

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Jan 01,2012 application of response surface methodology to optimize#0183;By using response surface methodology,the effects of microwave output power,extraction time,and solid-liquid ratio on polysaccharide yield were investigated and the optimal conditions were determined as follows extraction time 60 s,microwave output power 750 w,liquid-solid ratio 20.The average experimental polysaccharide yield under the optimum conditions was found to results for this questionHow is response surface methodology applied to olive paste heating?How is response surface methodology applied to olive paste heating?The response surface methodology has been applied to determine the optimization of olive paste heating and how it is affected by the independent process variables including olive paste flow (Q),high power ultrasound (HPU) intensity (W),olive temperature (OT),olive moisture (OM) and olive fat content (OF) by Bejaoui et al.[ 17 ].Utilization of Response Surface Methodology in Optimization of

results for this questionWhat are the main goals of a RSM study?What are the main goals of a RSM study?Therefore,the main goals of a RSM study are to understand the topography of the response surface including the local maximum,local,minimum and ridge lines and find the region where the most appropriate response occurs [ 4 ].Utilization of Response Surface Methodology in Optimization of results for this questionWhich is the best response surface for optimization of polysaccharide yield?Which is the best response surface for optimization of polysaccharide yield?To investigate the best response surface design for optimization of polysaccharide yield (CPS) from hazelnut skin,CCD and BBD designs were studied by Ylmaz and Tavman [ 25 ].Utilization of Response Surface Methodology in Optimization of

(PDF) Application of Response Surface Methodology (RSM)

Response surface methodology (RSM) was employed to optimize the permeate flux and dye removal efficiency of membranes with three variables of concentration,pH of dye solution,and membrane (PDF) Application of response surface methodology (RSM) to Jun 03,2014 application of response surface methodology to optimize#0183;Application of response surface methodology (RSM) to optimize operating conditions during ultrafiltration of oil-in-water emulsion June 2014 Desalination and Water Treatment 55(3):1-9

(PDF) Application of response surface methodology (RSM) to

The response surface methodology (RSM) with a For each run,100 mL of the raw leachate with an initial multivariate function of the polynomial equation model is COD and NH3-N concentration of 1,763 and 573 mg/L very eminently effective to relate the experimental data respectively was introduced into a 250 mL set of the optimisation system.Application of Response Surface Methodology (RSM) and May 01,2015 application of response surface methodology to optimize#0183;Response surface methodology (RSM) has been used widely for modelling extrusion cooking processes [1,4,19].It is a collection of mathematical and statistical techniques useful for analysing and optimizing the response of multivariate systems.

Application of Response Surface Methodology to Optimize

The article discusses the possibility of optimizing the number of plant ingredients in the recipes of BP using the response surface methodology (RSM).The objects for modeling are BP made from wheat flour of various recipes; as variable factors,plant ingredients from various parts of sea buckthorn (peel and seeds) and their influence on the Application of Response Surface Methodology to Optimize Was this helpful?People also askWhat is the purpose of the response surface methodology?What is the purpose of the response surface methodology?The response surface methodology (RSM) is a widely used mathematical and statistical method for modeling and analyzing a process in which the response of interest is affected by various variables [1] and the objective of this method is to optimize the response [2].Utilization of Response Surface Methodology in Optimization of

Application of the Response Surface Methodology to

Apr 22,2018 application of response surface methodology to optimize#0183;Response surface methodology (RSM) is known to be effective for the optimization of multiple factors for fermentation yields .The empirical model developed by RSM was adequate to ascertain the possible interactions between the studied parameters and the response of DHA production.Author Aanchal Mittal,Sangeeta Garg,Shailendra BajpaiPublish Year 2019Application of response surface methodology to optimize Sep 09,2020 application of response surface methodology to optimize#0183;Application of response surface methodology to optimize alkaliactivated slag mortar with limestone powder and glass powder and alkali content) on performance of alkali activated slag mortar.Response surface methodology (RSM) was used to model all measured responses like 28day flexural and compressive strength,water absorption,and

Author Lanfang Zhang,Jianjin ZhaiPublish Year 2021Application of response surface methodology to optimize

Feb 09,2016 application of response surface methodology to optimize#0183;An attempt of response surface methodology (RSM) has been made for more effective utilization and optimization for considerable reduction of operational conditions such as reaction time,aeration time,energy consumption,etc.for municipal wastewater treatment process using moving bed biofilm reactor (MBBR).Cited by 13Publish Year 2018Author Kang Wu,Lijian Ding,Peng Zhu,Shuang Li,Shan HeApplication of the Response Surface Methodology to Application of the Response Surface Methodology to Optimize the Fermentation Parameters for Enhanced Docosahexaenoic Acid (DHA) Production by Thraustochytrium sp.ATCC 26185.Application of the Response Surface Methodology to Optimize the Fermentation Parameters for Enhanced Docosahexaenoic Acid (DHA) Production by.Thraustochytrium.

Cited by 13Publish Year 2018Author Kang Wu,Lijian Ding,Peng Zhu,Shuang Li,Shan HeEstimated Reading Time 2 minsAplikasi Response Surface Methodologi (RSM) untuk

Translate this pageThe application of Response Surface Methodology (RSM) using Minitab 17 software was to optimize decolorization which influenced by independent variables such as CuSO4,Tween 80 and agitation.The result showed that decolorization 68% using coagulation flocculation as first treatment was obtained,while T.versicolor F200 as second treatment Cited by 14Publish Year 2010Author M.B.Hossain,M.B.Hossain,N.P.Brunton,A.B.Martin-Diana,C.Barry-RyanApplication of response surface methodology to optimize IntroductionMaterials and MethodsResults and DiscussionAcknowledgementsThyme (Thymus vulgaris L.) also possesses various beneficial effects,e.g.,antiseptic,carminative,antimicrobial,and antioxidative properties.11 Thyme and its extracts are used orally to treat dyspepsia and other gastrointestinal disturbances,cough due to cold,whooping cough,bronchitis,laryngitis and tonsillitis.The literature is indicating that the compounds responsible for these displayed biological activities are polyphenolic secondary metabolites,such as rosmarinic acid,carvacrol,caffeic acid,feruliSee more on pubs.rscCited by 14Publish Year 2010Author M.B.Hossain,M.B.Hossain,N.P.Brunton,A.B.Martin-Diana,C.Barry-RyanApplication of response surface methodology toApplication of response surface methodology to optimize the production of antimicrobial metabolites by Micromonospora Y15 Liping Wang a,b,c *,Meng Zhang *,Yuntao Li a ,Yunyun Cui a ,Yu Zhang a ,Zhengquan Wang ,Mingfu Wang and

Cited by 19Publish Year 2012Author Yuzhen Chen,Lei Zhao,Benguo Liu,Sasa ZuoApplication of response surface methodology to optimize

Jun 01,2006 application of response surface methodology to optimize#0183;It was reported that the complexities and uncertainties associated the large-scale microbial fermentation usually come from lack of knowledge of the sophisticated interactions among various factors.The response surface methodology (RSM) has been increasingly used for various phases of an optimization process in fermentation ,,.It is a powerful technique for testing multipleCited by 19Publish Year 2017Author Abdelmageed M.Othman,Maysa A.Elsayed,Ali M.Elshafei,Mohamed M.HassanAPPLICATION OF RESPONSE SURFACE METHODOLOGY TOJul 23,2012 application of response surface methodology to optimize#0183;ABSTRACT In this study response surface methodology (RSM) was used for suitable optimization of supplement and emulsifier for improving wheat flour protein without adversely affecting naan texture during storage.

Cited by 1Publish Year 2019Author Y.Williams,M.Basitere,S.K.O.Ntwampe,M.Ngongang,M.Njoya,E.KaskoteApplication of Response Surface Methodology to

The response surface methodology (RSM) was applied to optimize the most two important operating variables; current density and operation time at initial pH of 8 that have a signif-icant influence on the EC process and also to optimize the pro-cess efficiency.As the nitrate is the most undesirable pollu-tants in water and wastewater [1]; the response of nitrate re-Cited by 1Publish Year 2020Author Mohammad Hasan Zarghi,Neamat Jaafarzadeh,Aliakbar Roudbari,Amir ZahediApplication of Response Surface Methodology to Optimize Response Surface Methodology (RSM) is used to optimize the conditions of the saponification reaction (Concentration of alkaline solution (%),temperature ( application of response surface methodology to optimize#176;C) and reaction time (hour)).Level of foaming and durability of the emulsion (cleaning ability) from the product of the saponification reaction are two factors to evaluate the optimization process by RSM.

Cited by 23Publish Year 2018Author Nguyen Phu Thuong Nhan,Tran Thien Hien,Le Thi Hong Nhan,Phan Nguyen Quynh Anh,Le Tan Huy,Thi CaApplication of response surface methodology to optimize

Application of response surface methodology 3 Please cite this article in press as A.Fakhri,Application of response surface methodology to optimize the process variables for uoride ionCited by 27Publish Year 2018Author Alev Y application of response surface methodology to optimize#252;ksel AydarApplication of response surface methodology (RSM) to Central composite design (CCD) and response surface method (RSM) were applied to optimize the operating variables viz.coagulant dosage and pH.Quadratic models developed for the four responses (COD,turbidity,color and TSS) studied indicated the optimum conditions to be PAC dosage of 2g/L at pH 7.5 and alum dosage of 9.5 g/L at pH 7.

Cited by 28Publish Year 2017Author Kanin Charoen,Chaiwat Prapainainar,Panitas Sureeyatanapas,Theeraporn Suwannaphisit,Kanchaporn WoApplication of response surface methodology to optimize

May 01,2018 application of response surface methodology to optimize#0183;Response surface methodology (RSM) was applied to optimize the process variables which influence extraction yield,three variables were chosen extraction time A (30,60 and 90 min),the ultrasonic power B (20,40 and 60 W) and solid liquid ratio C (1:4,1:8 and 1:12 g ml) to achieve the highest extraction yield of essential oil from P.lentiscus ripe berries.Cited by 28Publish Year 2017Author Tomasz Chmiel,Magdalena Kupska,Waldemar Wardencki,Jacek NamienikApplication of response surface methodology to optimize May 08,2019 application of response surface methodology to optimize#0183;Response surface methodology coupled with central composite design was used to optimize the performance of the EGSB reactor.The dependant variable used for optimization was chemical oxygen demand (COD) removal as a function of two independent variables,hydraulic retention time (HRT) and organic loading rate (OLR).

Cited by 544Publish Year 2009Author Shahin Ghafari,Hamidi Abdul Aziz,Mohamed Hasnain Isa,Ali Akbar ZinatizadehApplication of response surface methodology to

Please cite this article in press as A.Fakhri,Application of response surface methodology to optimize the process variables for uoride ion applications [23],bioseparation [8,16 Cited by 57Publish Year 2006Author I.L.Shih,M.H.ShenApplication of response surface methodology to optimize Sep 01,2014 application of response surface methodology to optimize#0183;Response surface modeling (RSM) is an empirical statistical technique that uses quantitative data obtained from appropriately designed experiments to determine regression model and operating conditions 20,6,18,7,12,26,28,40.RSM is a technique to design factorial experiments,in order to build mathematical models which allow one to assess the effects of several factors onto a

Cited by 5Publish Year 2013Author Zubair Farooq,SalimUr Rehman,Muhammad AbidApplication of response surface methodology to optimize

Apr 15,2017 application of response surface methodology to optimize#0183;Application of response surface methodology to optimize solid-phase microextraction procedure for chromatographic determination of aroma-active monoterpenes in berries.Chmiel T(1),Kupska M(2),Wardencki W(3),Namienik J(3).Cited by 5Publish Year 2019Author Sayyed Hossein Hashemi,Massoud Kaykhaii,Ahmad Jamali Keikha,Asmeh ParkazEstimated Reading Time 3 minsApplication of response surface methodology to optimize Application of response surface methodology to optimize pressurized liquid extraction of antioxidant compounds from sage (Salvia officinalis L.),basil (Ocimum basilicum L.) and thyme (Thymus vulgaris L.).

Cited by 6Publish Year 2017Author Liping Wang,Meng Zhang,Yuntao Li,Yunyun Cui,Yu Zhang,Zhengquan Wang,Mingfu Wang,Yuliang HuangApplication of Response Surface Methodology to Optimize

Apr 05,2019 application of response surface methodology to optimize#0183;Optimization of the reaction parameters for grafting of barley husk was performed using response surface methodology (RSM) coupled with central composite design (CCD).Different process parameters were optimized at three levels reaction time (2.55 h),reaction temperature (3555 application of response surface methodology to optimize#176;C),solvent ratio (0,1:3,1:1,3:1,1),and monomer Cited by 81Publish Year 2014Author Ali FakhriApplication of response surface methodology to optimize Jan 20,2017 application of response surface methodology to optimize#0183;Application of response surface methodology to optimize direct alcohol fuel cell power density for greener energy production 1.Introduction.The main fuel source for the world up to now has been fossil fuels consisting of coal,petroleum,and 2.

Cited by 8Publish Year 2016Author Anjali Barwal,Rubina ChaudharyApplication of response surface methodology to optimize

This study aims to optimize the biosynthesis of nanosilver particles mediated by Trichoderma viride ATCC36838 using response surface methodology (RSM).Silver nanoparticles (AgNPs) were biosynthesized effectively in terms of the factors impacting silver ion (Ag + ) reduction to metallic nanosilver (Ag 0 ) using culture filtrate under shaking condition.Cited by 9Publish Year 2018Author Djamila Belhachat,Lakhdar Mekimene,Messaouda Belhachat,Ali Ferradji,Fatiha AidApplication of response surface methodology to optimize Jun 28,2019 application of response surface methodology to optimize#0183;Response surface modeling for optimization of the microextraction of dyes Response surface methodology (RSM) is an affordable and reliable technique to optimize certain processes.This technique leads to reduction in number of experiments needed

Estimated Reading Time 4 minsApplication of Response Surface Methodology (RSM) to

Central composite design (CCD) and response surface method (RSM) were applied to optimize the operating variables viz.coagulant dosage and pH.Quadratic models developed for the four responsesEstimated Reading Time 9 minsApplication of surface response method (RSM) to optimize Jan 15,2020 application of response surface methodology to optimize#0183;In the present study,the response surface method (RSM) was applied to analyze and optimize ammonia nitrogen removal by different variables,including pH,contact time,ultrasound frequency and UV intensity,on the removal of ammonia nitrogen from fresh landfill leachate.

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Utilization of Response Surface Methodology in

Feb 07,2018 application of response surface methodology to optimize#0183;1.Introduction.The response surface methodology (RSM) is a widely used mathematical and statistical method for modeling and analyzing a process in which the response of interest is affected by various variables [] and the objective of this method is to optimize the response [].The parameters that affect the process are called dependent variables,while the responses are


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