Advancing green extraction of bioactive compounds using deep eutectic solvent-based ultrasound-assisted matrix solid-phase dispersion: Application to UHPLC-PAD analysis of alkaloids and organic acids in Coptidis rhizoma

化学 巴马汀 深共晶溶剂 固相萃取 萃取(化学) 色谱法 基质(化学分析) 共晶体系 小檗碱 黄连 溶剂 有机化学 中医药 替代医学 病理 合金 医学
作者
Min Han,Kunze Du,Xicheng He,Haixiang Li,Jin Li,Xiaoxia Li,Yanxu Chang
出处
期刊:Talanta [Elsevier]
卷期号:274: 125983-125983 被引量:38
标识
DOI:10.1016/j.talanta.2024.125983
摘要

The utilization of deep eutectic solvents (DES) in sustainable extracting and separating of phytochemicals shows promising prospect. An exceptionally fast, eco-friendly, and sustainable approach was proposed for extracting bioactive compounds from Coptidis Rhizoma based on deep eutectic solvent-based ultrasound-assisted matrix solid phase dispersion (DES-UAMSPD). Single-factor experiments and Box-Behnken design were utilized to explore the optimal extraction conditions. The analysis indicated that the acidic DES, especially betaine-acrylic acid (Bet-Aa 1:4 mol/mol) with 50% water content, was proved to be the most effective medium for the extraction of alkaloids (magnoflorine, groenlandicine, coptisine, epiberberine, berberine and palmatine) and organic acid (chlorogenic acid). With the parameters optimized, the total maximum extraction yield of alkaloids and organic acids reached 128.83 mg·g−1 applying the optimal DES, which was 1.33–5.33 folds higher than conventional extraction solvents. Additionally, through microstructure analysis using scanning electron microscopy (SEM), density functional theory (DFT), and frontier molecular orbitals theory, a deeper understanding of the extraction principle was gained, and the molecular mechanism of DES synthesis and the interactions between target compounds were systematically elucidated. The sustainable and green potential of the DES-UAMSPD method was demonstrated through Green Analytical Procedure Index (GAPI) analysis. The overall results of this investigation revealed that the proposed technology was a highly promising and sustainable alternative for effective extraction and quantification of natural products.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
麻辣香锅完成签到,获得积分10
1秒前
Khalil发布了新的文献求助10
2秒前
正直的文涛完成签到 ,获得积分10
2秒前
liao_duoduo完成签到,获得积分10
2秒前
ily.发布了新的文献求助10
2秒前
科研通AI6应助吴婉秋采纳,获得10
2秒前
3秒前
4秒前
勤恳青亦发布了新的文献求助10
5秒前
5秒前
研友_VZG7GZ应助研友_nEoMy8采纳,获得10
5秒前
5秒前
小飞发布了新的文献求助10
5秒前
浪里小白龙完成签到,获得积分10
6秒前
6秒前
充电宝应助敏感狗采纳,获得10
7秒前
Lllleen完成签到 ,获得积分10
7秒前
7秒前
科研通AI6应助生动的以南采纳,获得10
8秒前
8秒前
Khalil完成签到,获得积分10
8秒前
金咪发布了新的文献求助10
9秒前
今后应助爱吃蔬菜采纳,获得10
9秒前
10秒前
10秒前
jin发布了新的文献求助10
11秒前
12秒前
赘婿应助zhq采纳,获得10
12秒前
明镜完成签到,获得积分10
12秒前
量子星尘发布了新的文献求助10
13秒前
14秒前
雪白的冰珍完成签到,获得积分10
16秒前
赘婿应助小行星采纳,获得20
16秒前
爆米花应助张靖采纳,获得10
16秒前
17秒前
17秒前
李爱国应助沈大帅采纳,获得10
18秒前
淡竹完成签到,获得积分10
19秒前
19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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5468825
求助须知:如何正确求助?哪些是违规求助? 4572157
关于积分的说明 14333943
捐赠科研通 4498964
什么是DOI,文献DOI怎么找? 2464789
邀请新用户注册赠送积分活动 1453376
关于科研通互助平台的介绍 1427939