4.7 Review

Review on atmospheric pressure ionization sources for gas chromatography-mass spectrometry. Part II: Current applications

期刊

ANALYTICA CHIMICA ACTA
卷 1238, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.aca.2022.340379

关键词

GC-MS; Atmospheric pressure ionization; Food analysis; Environmental analysis; Clinical and drug analysis; Petroleomics

向作者/读者索取更多资源

The application of atmospheric pressure ionization (API) sources in gas chromatography-mass spectrometry (GC-MS) determinations is gaining popularity due to its ability to overcome major drawbacks of vacuum ionization techniques. The development of new API techniques has opened doors for various applications in different fields, such as food analysis, environmental analysis, clinical analysis, drug and pharmaceutical analysis, and petroleomics. This review critically evaluates the performance of different API sources and approaches, highlighting their contributions in overcoming limitations of current methodologies and exploring new perspectives.
The application of atmospheric pressure ionization (API) sources in gas chromatography-mass spectrometry (GC -MS) determinations is becoming more popular since they have shown great capabilities to sort out the main drawbacks of vacuum ionization techniques like electron ionization (EI) and chemical ionization (CI). The development of new API techniques and set-ups have grown in the last decades, opening the field of GC-MS to new applications and facing some of the major issues in current analytical methodologies such as the require-ment of a compromise between sensitivity and selectivity. Thus, this review is mainly focused on the use of GC -API-MS in different application fields such as food analysis (food safety and food metabolomics), environmental analysis, clinical analysis, drug and pharmaceutical analysis, and petroleomics, among others. The methodolo-gies have been critically reviewed to compare the performance of different API sources and approaches, high-lighting the main contributions to overcoming some of the major limitations of the current methodologies as well as the new perspectives that GC-API-MS might open in the different fields.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据