Optimizing conditions for antioxidant phenolic compound extraction from Mahonia bealei (Fort.) Carr. leaves using a response surface methodology

2017 ◽  
Vol 58 (3) ◽  
pp. 282-291 ◽  
Author(s):  
Lei Wu ◽  
Gongcheng Wang ◽  
Ting Shen ◽  
Long You ◽  
Weicheng Hu ◽  
...  
2021 ◽  
Author(s):  
Valentin Reungoat ◽  
Morad Chadni ◽  
Irina Ioannou

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.


2018 ◽  
Vol 73 (3) ◽  
pp. 228-234 ◽  
Author(s):  
José Rogelio Ramos-Enríquez ◽  
Benjamín Ramírez-Wong ◽  
Rosario Maribel Robles-Sánchez ◽  
Ramón Enrique Robles-Zepeda ◽  
Gustavo Adolfo González-Aguilar ◽  
...  

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