Evidence map›Paper›PMID 37572212›Full record

ArticleAnalytical and bioanalytical chemistry2023

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

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

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Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ana M Jimenez-CarveloDepartment of Analytical Chemistry, University of Granada, Granada, Spain.ORCID http://orcid.org/0000-0002-9061-1686
Rosalía López-RuizDepartment 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. rosalialr@ual.es.ORCID http://orcid.org/0000-0003-0806-9013
Roberto Romero-GonzálezDepartment 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.ORCID http://orcid.org/0000-0002-2505-2056
Antonia Garrido-FrenichDepartment 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.ORCID http://orcid.org/0000-0002-7904-7842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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™).

Indexed as

Compound librariesDependent data acquisitionLoopMass spectrometryMultiplexingNon-targeted analysis

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.