Response Surface Methodology Applied to the Optimization of Phenolic Compound Extraction from Brassica

Valentin Reungoat (1) , Morad Chadni (1) , Irina Ioannou (1)

1 ABI - Agro-Biotechnologies Industrielles

The response surface methodology (RSM) is a relevant mathematical and statistical tool for process optimization. A state of the art on the optimization of the extraction of phenolic compounds from Brassica has shown that this approach is not sufficiently used. The reason for this is certainly an apparent complexity in comparison with the implementation of a one-factor-at-a-time (OFAT) optimization. The objective of this chapter is to show how one implement the response surface methodology in a didactic way on a case study: the extraction of sinapine from mustard bran. Using this approach, prediction models have been developed and validated to predict the sinapine content extracted as well as the purity of the extract in sinapine. The methodology presented in this chapter can be reproduced on any other application in the field of process engineering.

Keywords: Response surface methodology; extraction; phenolic compounds; process engineering; biomass valorization

Domains: Chemical and Process Engineering; Optimization and Control [math.OC]

Valentin Reungoat, Morad Chadni, Irina Ioannou. Response Surface Methodology Applied to the Optimization of Phenolic Compound Extraction from Brassica. Palanikumar Kayaroganam. Response Surface Methodology in Engineering Science, IntechOpen, 2021, 978-1-83968-917-8. ⟨10.5772/intechopen.97655⟩. ⟨hal-03523787⟩