Performance Comparison of Ambient Ionization Techniques Using a Single Quadrupole Mass Spectrometer for the Analysis of Amino Acids, Drugs, and Explosives.

IF 3.1 2区 化学 Q2 BIOCHEMICAL RESEARCH METHODS
Simone Mathias, Marius Amerio-Cox, Toni Jackson, David Douce, Bryan McCullough, Ashley Sage, Peter Luke, Carol Crean, Patrick Sears
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引用次数: 0

Abstract

The utilization of ambient ionization (AI) techniques for mass spectrometry (MS) has significantly grown due to their ability to facilitate rapid and direct sample analysis with minimal sample preparation. This study investigates the performance of various AI techniques, including atmospheric solids analysis probe (ASAP), thermal desorption corona discharge (TDCD), direct analysis in real time (DART), and paper spray coupled to a Waters QDa mass spectrometer. The focus is on evaluating the linearity, repeatability, and limit of detection (LOD) of these techniques across a range of analytes, including amino acids, drugs, and explosives. The results show that each AI technique exhibits distinct advantages and limitations. ASAP and DART cover high concentration ranges, which may make them suitable for semiquantitative analysis. TDCD demonstrates exceptional linearity and repeatability for most analytes, while paper spray offers surprising LODs despite its complex setup (between 80 and 400 pg for most analytes). The comparison with electrospray ionization (ESI) as a standard method shows that ambient ionization techniques can achieve competitive LODs for various compounds such as PETN (80 pg ESI vs 100 pg ASAP), TNT (9 pg ESI vs 4 pg ASAP), and RDX (4 pg ESI vs 10 pg ASAP). This study underscores the importance of selecting the appropriate ambient ionization technique based on the specific analytical requirements. This comprehensive evaluation contributes valuable insights into the selection and optimization of AI techniques for diverse analytical applications.

Abstract Image

使用单四极杆质谱仪分析氨基酸、毒品和爆炸物的环境电离技术性能比较。
由于环境电离(AI)技术只需最少的样品制备就能快速直接地进行样品分析,因此其在质谱分析(MS)中的应用有了显著的增长。本研究调查了各种 AI 技术的性能,包括大气固体分析探针 (ASAP)、热解吸电晕放电 (TDCD)、实时直接分析 (DART) 以及与沃特斯 QDa 质谱仪耦合的纸喷雾。重点是评估这些技术在一系列分析物(包括氨基酸、药物和爆炸物)中的线性度、可重复性和检测限(LOD)。结果表明,每种人工智能技术都具有明显的优势和局限性。ASAP 和 DART 可覆盖高浓度范围,因此适合进行半定量分析。对于大多数分析物,TDCD 显示出卓越的线性和可重复性,而纸喷雾尽管设置复杂(对于大多数分析物在 80 到 400 pg 之间),却能提供令人惊讶的 LOD。与作为标准方法的电喷雾离子化(ESI)的比较表明,环境离子化技术可以对各种化合物(如 PETN(80 pg ESI 与 100 pg ASAP)、TNT(9 pg ESI 与 4 pg ASAP)和 RDX(4 pg ESI 与 10 pg ASAP))实现有竞争力的 LOD。这项研究强调了根据具体分析要求选择合适的环境电离技术的重要性。这项综合评估为选择和优化用于各种分析应用的 AI 技术提供了宝贵的见解。
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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
257
审稿时长
1 months
期刊介绍: The Journal of the American Society for Mass Spectrometry presents research papers covering all aspects of mass spectrometry, incorporating coverage of fields of scientific inquiry in which mass spectrometry can play a role. Comprehensive in scope, the journal publishes papers on both fundamentals and applications of mass spectrometry. Fundamental subjects include instrumentation principles, design, and demonstration, structures and chemical properties of gas-phase ions, studies of thermodynamic properties, ion spectroscopy, chemical kinetics, mechanisms of ionization, theories of ion fragmentation, cluster ions, and potential energy surfaces. In addition to full papers, the journal offers Communications, Application Notes, and Accounts and Perspectives
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