Evidence map›Paper›PMID 37946034›Full record

ArticleAnalytical and bioanalytical chemistry2023

Comprehensive profiling and semi-quantification of exogenous chemicals in human urine using HRMS-based strategies.

Daniel Gutiérrez-Martín, Esteban Restrepo-Montes, Oksana Golovko, Rebeca López-Serna, Reza Aalizadeh, Nikolaos S Thomaidis, Montse Marquès, Pablo Gago-Ferrero, Rubén Gil-Solsona

Open access · hybridAbstract read
In one paragraph

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. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Daniel Gutiérrez-MartínDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research - Severo Ochoa Excellence Center (IDAEA), Spanish Council of Scientific Research (CSIC), 08034, Barcelona, Spain.
Esteban Restrepo-MontesDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research - Severo Ochoa Excellence Center (IDAEA), Spanish Council of Scientific Research (CSIC), 08034, Barcelona, Spain.
Oksana GolovkoDepartment of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), 75007, Uppsala, Sweden.
Rebeca López-SernaInstitute of Sustainable Processes (ISP), Dr. Mergelina S/N, 47011, Valladolid, Spain.
Reza AalizadehLaboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece.
Nikolaos S ThomaidisLaboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771, Athens, Greece.
Montse MarquèsUniversitat Rovira I Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Sant LLorenç 21, 43201, Reus, Catalonia, Spain.
Pablo Gago-FerreroDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research - Severo Ochoa Excellence Center (IDAEA), Spanish Council of Scientific Research (CSIC), 08034, Barcelona, Spain.
Rubén Gil-SolsonaDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research - Severo Ochoa Excellence Center (IDAEA), Spanish Council of Scientific Research (CSIC), 08034, Barcelona, Spain. ruben.gil@idaea.csic.es.ORCID http://orcid.org/0000-0002-4269-1036
Institute of Environmental Assessment and Water Research · ESNational and Kapodistrian University of Athens · GRUniversidad de Valladolid · ESInstitut de Recerca Biomèdica Catalunya Sud · ESSwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemicals infiltrate our daily experiences through multiple exposure pathways. Human biomonitoring (HBM) is routinely used to comprehensively understand these chemical interactions. Historically, HBM depended on targeted screening methods limited to a relatively small set of chemicals with triple quadrupole instruments typically. However, recent advances in high-resolution mass spectrometry (HRMS) have facilitated the use of broad-scope target, suspect, and non-target strategies, enhancing chemical exposome characterization within acceptable detection limits. Despite these advancements, establishing robust and efficient sample treatment protocols is still essential for trustworthy broad-range chemical analysis. This study sought to validate a methodology leveraging HRMS-based strategies for accurate profiling of exogenous chemicals and related metabolites in urine samples. We evaluated five extraction protocols, each encompassing various chemical classes, such as pharmaceuticals, plastic additives, personal care products, and pesticides, in terms of their extraction recoveries, linearity, matrix effect, sensitivity, and reproducibility. The most effective protocol was extensively validated and subsequently applied to 10 real human urine samples using wide-scope target analysis encompassing over 2000 chemicals. We successfully identified and semi-quantified a total of 36 chemicals using an ionization efficiency-based model, affirming the methodology's robust performance. Notably, our results dismissed the need for a deconjugation step, a typically labor-intensive and time-consuming process.

Indexed as

Environmental MonitoringChromatography, LiquidGas Chromatography-Mass SpectrometryHumansMass SpectrometryReproducibility of ResultsDeconjugationGlucuronidesHigh-resolution mass spectrometry (HRMS)Human biomonitoring (HBM)Method validationNon-target

Identifiers

PMID37946034
PMCPMC10684428
OpenAlexW4388518196

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Registered trials

None linked

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.