Multi-2D LC × LC as a Novel and Powerful Implement for the Maximum Separation of Complex Samples

化学 色谱法 二维色谱法 样品制备 洗脱 正交性 葡萄酒 分析化学(期刊) 质谱法 几何学 食品科学 数学
作者
Lidia Montero,Juan F. Ayala-Cabrera,Fariha F. Bristy,Oliver J. Schmitz
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (6): 3398-3405 被引量:5
标识
DOI:10.1021/acs.analchem.2c04870
摘要

Achieving complete information about the chemical composition of complex samples requires the use of multianalytical platforms able to maximize the acquisition of high-quality data for unequivocal identification. However, this process requires long analysis times and several instruments. Food analysis is one of the analytical fields where the analysis of very complex samples has a huge impact. One of these complex samples is vermouth, a fortified wine based on the maceration of a large number of herbs, fruits, barks, seeds, and leaves. The application of conventional or even advanced analytical techniques like comprehensive two-dimensional (2D) liquid chromatography (LC × LC) does not provide enough separation power to resolve the complete profile of this sample. In this work, a novel 2DLC strategy called multi-2D LC × LC is developed. This new setup consists of the use of two different columns with different separation properties in the second dimension (2D) that can be selected during the LC × LC analysis accordingly to the chemical nature of the compounds eluted from the first dimension (1D). The vermouth sample was analyzed using a 1D-PFP and a combination of HILIC (from 0 to 30 min) and C18 (from 30 to the end) columns in the 2D. This setup increased both the peak capacity and the orthogonality of the analysis in comparison to the use of only one of the columns in the 2D. Multi-2D LC × LC is presented as an integrated 2DLC tool that maximizes the separation capacity for very complex samples.
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
1秒前
木头完成签到 ,获得积分10
1秒前
2秒前
无花果应助hucheng采纳,获得10
3秒前
冲浪男孩226完成签到 ,获得积分10
3秒前
楚文强发布了新的文献求助10
3秒前
小袁同学完成签到,获得积分10
4秒前
Sicecream完成签到,获得积分20
5秒前
As发布了新的文献求助10
5秒前
杨梅完成签到 ,获得积分10
7秒前
科研通AI5应助kk采纳,获得10
9秒前
As完成签到,获得积分20
11秒前
领导范儿应助dudu采纳,获得30
11秒前
diaoyulao完成签到,获得积分10
19秒前
swityha完成签到,获得积分10
19秒前
19秒前
20秒前
23秒前
23秒前
dudu发布了新的文献求助30
25秒前
完美世界应助乐观的幼珊采纳,获得10
26秒前
哈哈发布了新的文献求助10
27秒前
27秒前
NexusExplorer应助ola采纳,获得10
27秒前
漠之梦发布了新的文献求助10
28秒前
123456完成签到,获得积分10
28秒前
害羞的裘完成签到 ,获得积分10
29秒前
bioglia完成签到,获得积分10
30秒前
wangle_17完成签到,获得积分10
31秒前
铁锤xy发布了新的文献求助10
32秒前
平淡的友易完成签到,获得积分10
33秒前
pass发布了新的文献求助10
34秒前
过于喧嚣的孤独完成签到,获得积分10
36秒前
41秒前
chenn完成签到 ,获得积分10
41秒前
CC完成签到,获得积分10
41秒前
zwy完成签到 ,获得积分10
41秒前
ruby30完成签到,获得积分10
44秒前
Aliya完成签到 ,获得积分10
45秒前
木木木完成签到,获得积分10
45秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3737290
求助须知:如何正确求助?哪些是违规求助? 3281158
关于积分的说明 10023202
捐赠科研通 2997821
什么是DOI,文献DOI怎么找? 1644872
邀请新用户注册赠送积分活动 782227
科研通“疑难数据库(出版商)”最低求助积分说明 749731