Skip to Main content Skip to Navigation
Book sections

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

Abstract : 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.
Complete list of metadata

https://hal-agroparistech.archives-ouvertes.fr/hal-03523787
Contributor : Irina IOANNOU Connect in order to contact the contributor
Submitted on : Wednesday, January 12, 2022 - 8:33:28 PM
Last modification on : Friday, August 5, 2022 - 2:38:11 PM
Long-term archiving on: : Wednesday, April 13, 2022 - 11:41:58 PM

File

2021_Book chapter_RSM_Reungoat...
Publisher files allowed on an open archive

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

19

Files downloads

10