Polyphenols Recovery from <i>Thymus serpyllum</i> Industrial Waste Using Microwave-Assisted Extraction–Comparative RSM and ANN Approach for Process Optimization

Polyphenols Recovery from <i>Thymus serpyllum</i> Industrial Waste Using Microwave-Assisted Extraction–Comparative RSM and ANN Approach for Process Optimization

The aim of this study was to valorize <i>Thymus serpyllum</i> L. herbal dust, the particular fraction distinguished as industrial waste from filter-tea production. This work demonstrated comparable analysis considering model fitting, influence analysis and optimization of microwave-assis...

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Bibliographic Details
Main Authors: Živan Mrkonjić, Dušan Rakić, Aleksandar Takači, Muammer Kaplan, Nemanja Teslić, Zoran Zeković, Ivana Lazarević, Branimir Pavlić
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Foods
Subjects:
wild thyme
MAE
antioxidant activity
multi-response optimization
artificial neural network
by-product
Online Access:https://www.mdpi.com/2304-8158/11/9/1184

Internet

https://www.mdpi.com/2304-8158/11/9/1184

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