Techniques and application in comprehensive multidimensional gas chromatography – mass spectrometry

化学 气相色谱法 色谱法 样品(材料) 分辨率(逻辑) 质谱法 维数(图论) 栏(排版) 二维气体 二维色谱法 分析化学(期刊) 人工智能 计算机科学 数学 帧(网络) 纯数学 电信
作者
Philip J. Marriott,Sung‐Tong Chin,Yada Nolvachai
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1636: 461788-461788 被引量:19
标识
DOI:10.1016/j.chroma.2020.461788
摘要

In contrast to the well-known comprehensive two-dimensional gas chromatography (GC×GC) method, it is possible to define comprehensive multidimensional gas chromatography. ‘Comprehensiveness’ relates to analysis of the whole sample. Two-dimensional and multidimensional here refer to the use of at least two separation stages for analysis, however comprehensive 2DGC now appears to be reserved for the GC×GC method. This may be differentiated from comprehensive MDGC (CMDGC) simply by the analysis time assigned to the second (2D) column, although there does not appear to be a specific definition that relates to this analysis time parameter. A number of different implementation protocols for comprehensive MDGC are described here, that may involve either a single, or multiple, injection(s). In all cases, independent retention must be achieved on each dimension to ensure the probability of enhanced separation. An original application of a crude oil sample is presented to illustrate development of the MDGC approach that incorporates two Deans switches (DS) and a cryogenic trapping approach, performed using a sequential heart-cut (H/C) event method incremented by 0.5 min for each injection; a total of 40 injections is used to analyse the total sample. The higher peak capacity and consequently greater resolution on the long 2D column is illustrated, compared with that expected for conventional GC×GC, with tentative identification in order to classify chemical classes. Incorporating an approach to acquiring retention indices may be implemented, although its utility for petroleum hydrocarbons is limited. Structured groupings of different chemical classes, as exemplified by mono and diaromatics for the crude oil sample, were noted.
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
大模型应助须尽欢采纳,获得30
刚刚
跳跃的枫叶完成签到,获得积分20
刚刚
刚刚
刚刚
朴实涵山发布了新的文献求助10
1秒前
爆米花应助潇洒哥采纳,获得10
2秒前
2秒前
科研通AI6.2应助静候灵归采纳,获得10
2秒前
2秒前
Augenstern完成签到,获得积分10
3秒前
3秒前
zzz发布了新的文献求助10
3秒前
完美世界应助刻苦小鸭子采纳,获得10
4秒前
4秒前
丘比特应助科研通管家采纳,获得10
4秒前
5秒前
5秒前
Ava应助科研通管家采纳,获得10
5秒前
田様应助科研通管家采纳,获得10
5秒前
dgjirhf发布了新的文献求助10
5秒前
深情的白竹完成签到,获得积分20
5秒前
杜玉完成签到 ,获得积分10
5秒前
111发布了新的文献求助10
6秒前
搜集达人应助征途采纳,获得10
6秒前
jq_s_s发布了新的文献求助10
6秒前
6秒前
8秒前
8秒前
魏笑白发布了新的文献求助10
8秒前
Xavier关注了科研通微信公众号
9秒前
积极的皮卡丘完成签到 ,获得积分10
9秒前
ysj完成签到,获得积分10
9秒前
nan驳回了乐乐应助
10秒前
YoungLee发布了新的文献求助10
10秒前
彭洪凯完成签到,获得积分10
10秒前
好运来完成签到,获得积分10
11秒前
11秒前
ninini完成签到,获得积分10
11秒前
怕孤独的傲丝完成签到,获得积分10
11秒前
专注大门发布了新的文献求助10
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 7523231
求助须知:如何正确求助?哪些是违规求助? 9110048
关于积分的说明 19452793
捐赠科研通 7126306
什么是DOI,文献DOI怎么找? 3255082
关于科研通互助平台的介绍 2423217
邀请新用户注册赠送积分活动 2241999