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液相色谱-四极杆-轨道阱质谱非靶向分析中质谱采集条件及鉴定过程的批判性评估:以农药残留为例

Critical evaluation of MS acquisition conditions and identification process in LC-Q-Orbitrap-MS for non-targeted analysis: pesticide residues as case of study.

作者信息

Jimenez-Carvelo Ana M, López-Ruiz Rosalía, Romero-González Roberto, Garrido-Frenich Antonia

机构信息

Department of Analytical Chemistry, University of Granada, Granada, Spain.

Department of Chemistry and Physics, Research Centre for Mediterranean Intensive Agrosystems and Agri-Food Biotechnology (CIAMBITAL), Agri-Food International Campus of Excellence (CeiA3), University of Almeria, Almeria, Spain.

出版信息

Anal Bioanal Chem. 2023 Oct;415(25):6269-6277. doi: 10.1007/s00216-023-04903-4. Epub 2023 Aug 12.

DOI:10.1007/s00216-023-04903-4
PMID:37572212
Abstract

In routine measurements, the length of analysis time and the number of samples analysed during a given time unit are crucial. Additionally, the analytical method used has to provide reliable results and be able to identify and quantify any compound present in the matrix. High-resolution equipment, including Orbitrap analysers, is commonly used for non-targeted determinations. However, researchers still rely on trial and error to achieve the best acquisition conditions on the mass spectrometer, which is a tedious and time-consuming process that can lead to errors. Moreover, tentative compound identification, particularly when using a non-targeted approach, heavily depends on commercial databases. All of these issues can ultimately result in incomplete identification of compounds in the study matrix. In this framework, the study presented here has a dual objective: to use the experimental design tool to optimise critical parameters in mass spectrometry using LC-Q-Orbitrap-MS equipment when working in a non-targeted approach and to compare the mzCloud™ and ChemSpider™ commercial databases included in Compound Discoverer software with TraceFinder home-made databases generated to evaluate the ability to identify compounds. The study's noteworthy findings reveal that employing an experimental design has facilitated rapid optimisation of the mass spectrometer's multiplexing and loop parameters. Furthermore, the study highlights that the lack of harmonisation in commercial databases poses a disadvantage in the identification of compounds, leading to superior results when using home-made databases. In the latter databases, around 80% of the compounds were identified, which is approximately twice the number identified in commercial databases (around 40% in the best case with ChemSpider™).

摘要

在常规测量中,分析时间的长短以及在给定时间单位内分析的样品数量至关重要。此外,所使用的分析方法必须提供可靠的结果,并能够识别和定量基质中存在的任何化合物。包括轨道阱分析仪在内的高分辨率设备通常用于非靶向测定。然而,研究人员仍需依靠反复试验来在质谱仪上实现最佳采集条件,这是一个繁琐且耗时的过程,可能会导致误差。此外,暂定化合物鉴定,尤其是在使用非靶向方法时,严重依赖商业数据库。所有这些问题最终可能导致研究基质中化合物的鉴定不完整。在此框架下,本文提出的研究有两个目标:在采用非靶向方法工作时,使用实验设计工具优化液相色谱 - 四极杆 - 轨道阱质谱(LC-Q-Orbitrap-MS)设备质谱分析中的关键参数,并比较Compound Discoverer软件中包含的mzCloud™和ChemSpider™商业数据库与为评估化合物鉴定能力而生成的TraceFinder自制数据库。该研究的显著发现表明,采用实验设计有助于快速优化质谱仪的多路复用和进样环参数。此外,该研究强调商业数据库缺乏一致性在化合物鉴定方面存在劣势,使用自制数据库时能获得更好的结果。在后一种数据库中,约80%的化合物被鉴定出来,这大约是商业数据库中鉴定数量(使用ChemSpider™时最佳情况约为40%)的两倍。

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本文引用的文献

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HPLC-electrospray ionization-mass spectrometry optimization by high-performance design of experiments for astrocyte glutamine measurement.
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