4.7 Article

Innovative and environmental-friendly process to extract polyphenols, polyalcohols and furfural from olive cake by a biorefinery scheme

出版社

ELSEVIER
DOI: 10.1016/j.jtice.2022.104302

关键词

ANFIS; Biomass; Furfural; Inositol; Olive cake; Polyphenols

资金

  1. Spanish Ministry of Economy, Industry and Competitiveness [CTM2016-75977-R]

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The aim of this study was to optimize hydrothermal treatments for extracting value-added products from olive cake, specifically polyphenols, polyalcohols, and furfural. The highest extraction was achieved for inositol, with a concentration of 1691.7 mg/L. The study found that certain polyphenols could be extracted using water instead of ethyl acetate. Overall, the research focused on developing an environmentally-friendly process for extracting valuable compounds from olive cake.
Background: The aim of this study was the optimization of hydrothermal treatments for the extraction of value-added products from olive cake concretely, polyphenols, polyalcohols and furfural. For this purpose, this work used a new and environmental-friendly process with olive cake which only was used in a previous study. Methods: Different hydrothermal treatments were realised at temperature of 30 degrees C for 1 h to determine and quantify these value-added products. Resulting solid from hydrothermal treatment at 30 degrees C was subjected to autohydrolysis at temperatures of 120, 140, 160 and 180 degrees C and times of 30, 60 and 90 min in order to see the variation of value-added products concentrations. The resultant liquid fractions were also performed a posthydrolysis with the aim of obtain a fermentation media. Significant findings: The highest extraction was for inositol with a concentration of 1691.7 mg/L. In both cases, inositol concentration was the highest with a value of 1.86 % in autohydrolysis and 1.44 % in posthydrolysis. Polyphenols extracted were identified and it was found that some of them could be extracted only using water instead of ethyl acetate. Experimental results were fitted with a neural-fuzzy model to study the relationship between the operational variables and dependent variables. (c) 2022 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

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