Ambient analysis of trace compounds in gaseous media by SIFT-MS

尺度不变特征变换 气体分析呼吸 化学 微量气体 环境化学 分析化学(期刊) 色谱法 计算机科学 人工智能 有机化学 特征提取
作者
David Smith,Patrik Španěl
出处
期刊:Analyst [The Royal Society of Chemistry]
卷期号:136 (10): 2009-2009 被引量:109
标识
DOI:10.1039/c1an15082k
摘要

The topic of ambient gas analysis has been rapidly developed in the last few years with the evolution of the exciting new techniques such as DESI, DART and EESI. The essential feature of all is that analysis of trace gases can be accomplished either in the gas phase or those released from surfaces, crucially avoiding sample collection or modification. In this regard, selected ion flow tube mass spectrometry, SIFT-MS, also performs ambient analyses both accurately and rapidly. In this focused review we describe the underlying ion chemistry underpinning SIFT-MS through a discourse on the reactions of different classes of organic and inorganic molecules with H3O+, NO+ and O2+˙ studied using the SIFT technique. Rate coefficients and ion products of these reactions facilitate absolute SIFT-MS analyses and can also be useful for the interpretation of data obtained by the other ambient analysis methods mentioned above. The essential physics and flow dynamics of SIFT-MS are described that, together with the reaction kinetics, allow SIFT-MS to perform absolute ambient analyses of trace compounds in humid atmospheric air, exhaled breath and the headspace of aqueous liquids. Several areas of research that, through pilot experiments, are seen to benefit from ambient gas analysis using SIFT-MS are briefly reviewed. Special attention is given to exhaled breath and urine headspace analysis directed towards clinical diagnosis and therapeutic monitoring, and some other areas researched using SIFT-MS are summarised. Finally, extensions to current areas of application and indications of other directions in which SIFT-MS can be exploited for ambient analysis are alluded to.

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
小蘑菇应助luck采纳,获得10
刚刚
1秒前
怕高的土发布了新的文献求助10
2秒前
驰驰发布了新的文献求助10
3秒前
情怀应助D1fficulty采纳,获得10
5秒前
无敌娜发布了新的文献求助10
5秒前
甜甜圈发布了新的文献求助10
6秒前
7秒前
爆米花应助kc135采纳,获得50
9秒前
CipherSage应助个性的饼干采纳,获得10
9秒前
9秒前
社会主义接班人完成签到 ,获得积分10
11秒前
高高应助科研通管家采纳,获得10
11秒前
小天应助科研通管家采纳,获得10
11秒前
xuexue驳回了顾矜应助
11秒前
慕青应助科研通管家采纳,获得10
11秒前
搜集达人应助科研通管家采纳,获得10
11秒前
orixero应助科研通管家采纳,获得10
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
慕青应助科研通管家采纳,获得20
12秒前
彭于晏应助科研通管家采纳,获得10
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
香蕉觅云应助科研通管家采纳,获得10
12秒前
rosalieshi应助科研通管家采纳,获得30
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
辰冠哲发布了新的文献求助10
16秒前
16秒前
醋溜爆肚儿完成签到,获得积分10
16秒前
大模型应助诚心雨柏采纳,获得10
17秒前
科研通AI5应助12024采纳,获得10
17秒前
17秒前
李爱国应助禾牧之采纳,获得10
18秒前
19秒前
任性的卿发布了新的文献求助10
19秒前
Mifabric发布了新的文献求助30
19秒前
七七完成签到,获得积分20
21秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3543997
求助须知:如何正确求助?哪些是违规求助? 3121198
关于积分的说明 9346129
捐赠科研通 2819283
什么是DOI,文献DOI怎么找? 1550110
邀请新用户注册赠送积分活动 722375
科研通“疑难数据库(出版商)”最低求助积分说明 713174