Overview on the Response Surface Methodology (RSM) in Extraction Processes

Response Surface Methodology (RSM) is an optimization tool that can identify interrelationship between variables as being adopted by experiment/ research studies in food and herbal plants extraction niche area. This review discusses the optimization approach through utilization of research surface m...

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Main Authors: Khairul Anwar, Mohamad Said, Mohamed Afizal, Mohamed Amin
Format: Article
Language:English
Published: JASPE 2015
Subjects:
Online Access:http://ir.unimas.my/id/eprint/12874/
http://ir.unimas.my/id/eprint/12874/1/Overview%20on%20the%20Response%20Surface%20Methodology%20%28RSM%29%209abstract%29.pdf
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author Khairul Anwar, Mohamad Said
Mohamed Afizal, Mohamed Amin
author_facet Khairul Anwar, Mohamad Said
Mohamed Afizal, Mohamed Amin
author_sort Khairul Anwar, Mohamad Said
building UNIMAS Institutional Repository
collection Online Access
description Response Surface Methodology (RSM) is an optimization tool that can identify interrelationship between variables as being adopted by experiment/ research studies in food and herbal plants extraction niche area. This review discusses the optimization approach through utilization of research surface methodology either using central composite design or Box-Behnken method specifically in extraction processes. The use of analysis of variance (ANOVA) to evaluate the degree of accuracy held by the derived model is based on several responses. RSM helps to determine the best experimental design in order to identify the relationship between variables. This paper also discusses on the utilization of RSM to derive a model equation that later can be applied for response prediction and the determination of optimal conditions.
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spelling unimas-128742016-08-09T23:28:31Z http://ir.unimas.my/id/eprint/12874/ Overview on the Response Surface Methodology (RSM) in Extraction Processes Khairul Anwar, Mohamad Said Mohamed Afizal, Mohamed Amin TP Chemical technology Response Surface Methodology (RSM) is an optimization tool that can identify interrelationship between variables as being adopted by experiment/ research studies in food and herbal plants extraction niche area. This review discusses the optimization approach through utilization of research surface methodology either using central composite design or Box-Behnken method specifically in extraction processes. The use of analysis of variance (ANOVA) to evaluate the degree of accuracy held by the derived model is based on several responses. RSM helps to determine the best experimental design in order to identify the relationship between variables. This paper also discusses on the utilization of RSM to derive a model equation that later can be applied for response prediction and the determination of optimal conditions. JASPE 2015 Article PeerReviewed text en http://ir.unimas.my/id/eprint/12874/1/Overview%20on%20the%20Response%20Surface%20Methodology%20%28RSM%29%209abstract%29.pdf Khairul Anwar, Mohamad Said and Mohamed Afizal, Mohamed Amin (2015) Overview on the Response Surface Methodology (RSM) in Extraction Processes. Journal of Applied Science & Process Engineering, 2 (1). ISSN 2289-7771
spellingShingle TP Chemical technology
Khairul Anwar, Mohamad Said
Mohamed Afizal, Mohamed Amin
Overview on the Response Surface Methodology (RSM) in Extraction Processes
title Overview on the Response Surface Methodology (RSM) in Extraction Processes
title_full Overview on the Response Surface Methodology (RSM) in Extraction Processes
title_fullStr Overview on the Response Surface Methodology (RSM) in Extraction Processes
title_full_unstemmed Overview on the Response Surface Methodology (RSM) in Extraction Processes
title_short Overview on the Response Surface Methodology (RSM) in Extraction Processes
title_sort overview on the response surface methodology (rsm) in extraction processes
topic TP Chemical technology
url http://ir.unimas.my/id/eprint/12874/
http://ir.unimas.my/id/eprint/12874/1/Overview%20on%20the%20Response%20Surface%20Methodology%20%28RSM%29%209abstract%29.pdf