Suppr超能文献

基于萜类和脂肪酸的疏水性天然低共熔溶剂从番茄中提取番茄红素

Extraction of Lycopene from Tomato Using Hydrophobic Natural Deep Eutectic Solvents Based on Terpenes and Fatty Acids.

作者信息

Kyriakoudi Anastasia, Tsiouras Alexandros, Mourtzinos Ioannis

机构信息

Laboratory of Food Chemistry and Biochemistry, Department of Food Science and Technology, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, Greece.

出版信息

Foods. 2022 Aug 31;11(17):2645. doi: 10.3390/foods11172645.

Abstract

The present study proposes a green extraction approach for the recovery of lycopene from tomato fruits. Different hydrophobic natural deep eutectic solvents (HNADESs) based on terpenes (i.e., menthol and thymol) and fatty acids (i.e., decanoic acid and dodecanoic acid) were prepared at different molar ratios, characterised in terms of density, rheological properties, and Fourier transform-infrared (FT-IR) spectroscopy, and were examined for their effectiveness to extract lycopene from tomato. Response surface methodology (RSM) was employed to optimise the extraction parameters, namely duration (min) and solvent:solid ratio (/). Spectrophotometry and RP-HPLC-DAD were used in order to monitor the process efficiency. The combination of decanoic acid and dodecanoic acid was found to exhibit comparable extraction capacity to acetone. Taking into account that the HNADESs used in the present study are considered green, biodegradable and of low cost, the obtained carotenoid rich extracts are expected to be of use in industrial food applications.

摘要

本研究提出了一种从番茄果实中回收番茄红素的绿色提取方法。制备了基于萜类化合物(即薄荷醇和百里香酚)和脂肪酸(即癸酸和月桂酸)的不同疏水性天然低共熔溶剂(HNADESs),其摩尔比不同,并对其密度、流变性质和傅里叶变换红外(FT-IR)光谱进行了表征,还考察了它们从番茄中提取番茄红素的效果。采用响应面法(RSM)优化提取参数,即时间(分钟)和溶剂与固体比(/)。使用分光光度法和反相高效液相色谱-二极管阵列检测法(RP-HPLC-DAD)来监测过程效率。发现癸酸和月桂酸的组合表现出与丙酮相当的提取能力。考虑到本研究中使用的HNADESs被认为是绿色、可生物降解且低成本的,预计所获得的富含类胡萝卜素的提取物可用于工业食品应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c074/9455282/59a88e7084a7/foods-11-02645-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验