Lipidomics insight on differences in lipid profiles and phytosterol compositions of coconut oils extracted by classical and green solvents

化学 植物甾醇 己烷 溶剂 萃取(化学) 色谱法 石油醚 食品科学 椰子油 脂肪醇 干物质 有机化学 植物 生物
作者
Jingtao Cui,Zihan Yang,Yong‐Jiang Xu,Chin Ping Tan,Weimin Zhang
出处
期刊:Food Research International [Elsevier BV]
卷期号:174 (Pt 2): 113653-113653 被引量:17
标识
DOI:10.1016/j.foodres.2023.113653
摘要

Searching for green and ecofriendly solvents to replace classical solvents for industrial scale extraction of coconut oil is of great interest. To explore these possibilities, this study performed comprehensive comparative analyses of lipid profiles and phytosterol compositions in coconut oils obtained by extraction with n-hexane, absolute ethyl alcohol, deep eutectic solvent/n-hexane, dimethyl carbonate (DME) and cyclopentyl methyl ether (CPME) using a foodomics approach. Results indicated that CPME (64.23 g/100 g dry matter) and DME (65.64 g/100 g dry matter) showed comparable capacity for total lipid extraction of total lipids to classical solvents (63.5–65.66 g/100 g dry matter). Considering the phytosterol yield, CPME (644.26 mg/kg) exhibited higher selectivity than other solvents (535.64–622.13 mg/kg). No significant difference was observed in the fatty acid composition of coconut oil by the different solvents assayed. Additionally, total 468 lipid molecules were identified in the samples. For glycerolipid and sphingolipid, the five solvents showed comparable extraction capabilities. However, CPME exhibited higher extraction efficiency of polar lipids (glycerophospholipid and saccharolipid) than other solvents. Overall, these results may be a useful guide for the application of green solvents in industrial production of coconut oil.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
丘比特应助笑柳采纳,获得10
1秒前
1秒前
乐语林晨完成签到,获得积分10
1秒前
2秒前
哈哈哈完成签到,获得积分10
2秒前
Tony发布了新的文献求助10
3秒前
3秒前
落寞的土豆关注了科研通微信公众号
4秒前
4秒前
5秒前
5秒前
6秒前
7秒前
7秒前
涛zt发布了新的文献求助10
8秒前
ckchueng发布了新的文献求助20
8秒前
8秒前
8秒前
8秒前
8秒前
9秒前
9秒前
9秒前
9秒前
10秒前
10秒前
10秒前
CipherSage应助圣人海采纳,获得10
11秒前
哈士皮完成签到,获得积分20
11秒前
12秒前
12秒前
Livia完成签到 ,获得积分10
12秒前
12秒前
小飞鼠发布了新的文献求助10
13秒前
科研通AI2S应助Asuka采纳,获得10
13秒前
13秒前
大男发布了新的文献求助10
13秒前
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Surgical Ergonomic Pilot Study Using a Posture Biofeedback Device in Rhinology: A MultiPhase Quality Improvement Study 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7692382
求助须知:如何正确求助?哪些是违规求助? 9253515
关于积分的说明 19983294
捐赠科研通 7265166
什么是DOI,文献DOI怎么找? 3291185
关于科研通互助平台的介绍 2447413
邀请新用户注册赠送积分活动 2296482