Comparative study of response surface methodology and artificial neural network in the optimization of the ultrasound-assisted extraction of diarylheptanoid phytoestrogens from Curcuma comosa rhizomes-Reference-Cited by-同舟云学术

Comparative study of response surface methodology and artificial neural network in the optimization of the ultrasound-assisted extraction of diarylheptanoid phytoestrogens from Curcuma comosa rhizomes

Published:2021-08 Issue: Volume:165 Page:108461
ISSN:0255-2701
Container-title:Chemical Engineering and Processing - Process Intensification
language:en
Short-container-title:Chemical Engineering and Processing - Process Intensification

Author:

Yingngam Bancha,Navabhatra Abhiruj,Rungseevijitprapa Wandee,Prasitpuriprecha Chutinun,Brantner Adelheid

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,General Chemical Engineering,General Chemistry

Reference44 articles.

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4. Quality and stability assessment of commercial products containing phytoestrogen diaryheptanoids from Curcuma comosa;Tabboon;Ind. Crops Prod.,2019

5. Bone sparing effect of a novel phytoestrogen diarylheptanoid from Curcuma comosa Roxb. in ovariectomized rats;Tantikanlayaporn;PLoS One,2013

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