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用于食品应用的具有高单糖溶解度的绿色深共熔溶剂选择的分子指南

Molecular Guide for Selecting Green Deep Eutectic Solvents with High Monosaccharide Solubility for Food Applications.

作者信息

AlYammahi Jawaher, Darwish Ahmad S, Lemaoui Tarek, Boublia Abir, Benguerba Yacine, AlNashef Inas M, Banat Fawzi

机构信息

Department of Chemical Engineering, Khalifa University, P.O. Box 127788, Abu Dhabi 127788, United Arab Emirates.

Center for Membranes and Advanced Water Technology (CMAT), Khalifa University, P.O. Box 127788, Abu Dhabi 127788, United Arab Emirates.

出版信息

ACS Omega. 2023 Jul 12;8(29):26533-26547. doi: 10.1021/acsomega.3c03326. eCollection 2023 Jul 25.

Abstract

Monosaccharides play a vital role in the human diet due to their interesting biological activity and functional properties. Conventionally, sugars are extracted using volatile organic solvents (VOCs). Deep eutectic solvents (DESs) have recently emerged as a new green alternative to VOCs. Nonetheless, the selection criterion of an appropriate DES for a specific application is a very difficult task due to the designer nature of these solvents and the theoretically infinite number of combinations of their constituents and compositions. This paper presents a framework for screening a large number of DES constituents for monosaccharide extraction application using COSMO-RS. The framework employs the activity coefficients at infinite dilution (γ) as a measure of glucose and fructose solubility. Moreover, the toxicity analysis of the constituents is considered to ensure that selected constituents are safe to work with. Finally, the obtained viscosity predictions were used to select DESs that are not transport-limited. To provide more insights into which functional groups are responsible for more effective monosaccharide extraction, a structure-solubility analysis was carried out. Based on an analysis of 212 DES constituents, the top-performing hydrogen bond acceptors were found to be carnitine, betaine, and choline chloride, while the top-performing hydrogen bond donors were oxalic acid, ethanolamine, and citric acid. A research initiative was presented in this paper to develop robust computational frameworks for selecting optimal DESs for a given application to develop an effective DES design strategy that can aid in the development of novel processes using DESs.

摘要

单糖因其有趣的生物活性和功能特性,在人类饮食中起着至关重要的作用。传统上,糖类是使用挥发性有机溶剂(VOCs)进行提取的。近年来,深共晶溶剂(DESs)作为VOCs的一种新型绿色替代品出现了。然而,由于这些溶剂的设计特性以及其成分和组成在理论上有无穷多种组合,为特定应用选择合适的DES的标准是一项非常艰巨的任务。本文提出了一个使用COSMO-RS筛选大量用于单糖提取应用的DES成分的框架。该框架采用无限稀释活度系数(γ)作为葡萄糖和果糖溶解度的度量。此外,还考虑了成分的毒性分析,以确保所选成分使用安全。最后,利用获得的粘度预测结果来选择不受传输限制的DES。为了更深入了解哪些官能团对更有效的单糖提取负责,进行了结构-溶解度分析。基于对212种DES成分的分析,发现表现最佳的氢键受体是肉碱、甜菜碱和氯化胆碱,而表现最佳的氢键供体是草酸、乙醇胺和柠檬酸。本文提出了一项研究计划,旨在开发强大的计算框架,为给定应用选择最佳的DES,以制定有效的DES设计策略,有助于开发使用DES的新工艺。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95d8/10373463/9f003c5e1039/ao3c03326_0002.jpg

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