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利用深共晶溶剂从生物质中提取生物活性化合物。

Extraction of Bioactive Compounds from Biomass Using Deep Eutectic Solvents.

机构信息

Laboratory of Thermodynamics and Transport Phenomena, Zografou Campus, School of Chemical Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780 Athens, Greece.

Department of Marine Sciences, University of Aegean, University Hill, Lesvos Island, 81100 Mytilene, Greece.

出版信息

Molecules. 2023 Jan 3;28(1):415. doi: 10.3390/molecules28010415.

DOI:10.3390/molecules28010415
PMID:36615604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9824854/
Abstract

microalgae biomass was employed for the extraction of valuable bioactive compounds with deep eutectic-based solvents (DESs). Particularly, the Choline Chloride (ChCl) based DESs, ChCl:1,2 butanediol (1:4), ChCl:ethylene glycol (1:2), and ChCl:glycerol (1:2) mixed with water at 70/30 / ratio were used for that purpose. The extracts' total carotenoid (TCC) and phenolic contents (TPC), as well as their antioxidant activity (IC50), were determined within the process of identification of the most efficient solvent. This screening procedure revealed ChCl:1,2 butanediol (1:4)/HO 70/30 / as the most compelling solvent; thus, it was employed thereafter for the extraction process optimization. Three extraction parameters, i.e., solvent-to-biomass ratio, temperature, and time were studied regarding their impact on the extract's TCC, TPC, and IC50. For the experimental design and process optimization, the statistical tool Response Surface Methodology was used. The resulting models' predictive capacity was confirmed experimentally by carrying out two additional extractions under conditions different from the experimental design.

摘要

利用基于深共熔溶剂 (DESs) 的方法,从微藻生物质中提取有价值的生物活性化合物。特别是,使用了氯化胆碱 (ChCl) 基 DESs,ChCl:1,2-丁二醇 (1:4)、ChCl:乙二醇 (1:2) 和 ChCl:甘油 (1:2),并将其与水按 70/30 的比例混合。在鉴定最有效的溶剂的过程中,测定了提取物的总类胡萝卜素 (TCC) 和总酚含量 (TPC) 以及抗氧化活性 (IC50)。该筛选程序表明,ChCl:1,2-丁二醇 (1:4)/HO 70/30 / 是最具吸引力的溶剂;因此,此后它被用于提取过程的优化。研究了三个提取参数,即溶剂与生物质的比例、温度和时间,以研究它们对提取物 TCC、TPC 和 IC50 的影响。为了进行实验设计和过程优化,使用了统计工具响应面法。通过在与实验设计不同的条件下进行另外两次提取,实验证实了所得模型的预测能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/ded310117183/molecules-28-00415-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/2eb11ef12ce2/molecules-28-00415-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/8ed05ce84f3d/molecules-28-00415-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/d4265ec66235/molecules-28-00415-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/ded310117183/molecules-28-00415-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/2eb11ef12ce2/molecules-28-00415-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/8ed05ce84f3d/molecules-28-00415-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/d4265ec66235/molecules-28-00415-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b2c/9824854/ded310117183/molecules-28-00415-g004.jpg

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