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Optimization of different chemical processes using response surface methodology -a review


Zaid, Hiba and Al-sharify, Zainab and Hamzah, Muhammad Hazwan and Rushdi, Salih (2022) Optimization of different chemical processes using response surface methodology -a review. Journal of Engineering and Sustainable Development, 26 (6). pp. 1-13. ISSN 2520-0917; ESSN: 2520-0925


Several chemical and biological processes have been investigated and predicted using Response Surface Methodology (RSM) models. Response Surfaces Methodology is a useful instrument for designing laboratory-scale experiments that optimize and support the research outcomes with statistical analysis. It is a powerful statistical technique for complex variable study systems. The standard optimization (one component at a time) strategy is well-studied. However, it has significant drawbacks, such as requiring more experimental runs and time and failing to reveal the synergistic impact of processing parameters. It is a valuable instrument for process improvement. Recent research has shown, for instance, that RSM successfully optimizes biodiesel in fats and oils generated from diverse feedstocks. According to this study, Response Surface Methodology is the best cost-effective technique for maximizing environmentally friendly and sustainable methods applied to different experimental procedures. The current review reported RSM's application, theory, methodology, advantages, and limitations for different processes using different oil sources.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.31272/jeasd.26.6.1
Publisher: College of Engineering, Mustansyriah University
Keywords: Response surface methodology; Optimization; Extraction; Microwave; Olive oil; Palm oil
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 22 May 2023 02:43
Last Modified: 22 May 2023 02:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.31272/jeasd.26.6.1
URI: http://psasir.upm.edu.my/id/eprint/102403
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