Evidence map›Paper›PMID 42062594›Full record

ArticleAnalytical and bioanalytical chemistry2026

Advancing analytical methodologies for the determination of lifestyle and dietary biomarkers in municipal wastewater.

Karlo Jambrosic, Tin Zupanovic, Ivona Krizman-Matasic, Senka Terzic, Marijan Ahel, Ivan Senta

Abstract read
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Article in Analytical and bioanalytical chemistry, 2026. 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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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

6 authors.

Karlo JambrosicDivision for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia.
Tin ZupanovicDivision for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia.
Ivona Krizman-MatasicDivision for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia.
Senka TerzicDivision for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia.
Marijan AhelDivision for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia.
Ivan SentaDivision for Marine and Environmental Research, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia. isenta@irb.hr.ORCID http://orcid.org/0000-0002-3308-5122

Funding

Hrvatska Zaklada za Znanost DOK-NPOO-2023-10-7882Hrvatska Zaklada za Znanost IP-2022-10-5332
6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) is increasingly used to assess the consumption of illicit drugs and other lifestyle chemicals, while its potential for evaluating population dietary habits has been scarcely investigated. In this study, a multi-residue analytical method was developed to determine more than 40 lifestyle and dietary biomarkers in raw municipal wastewater. In addition to biomarkers commonly included in WBE studies, this method incorporates several food biomarkers not previously analysed in this context. The target biomarkers were analysed using ultra-high-performance liquid chromatography-tandem mass spectrometry. Optimal separation was achieved on an ACQUITY UPLC HSS T3 column using gradient elution with 0.1% acetic acid and acetonitrile, while multiple reaction monitoring mode was used for detection and quantification of the target compounds. Sample preparation involved solid-phase extraction (SPE) on hydrophilic-lipophilic cartridges for biomarkers present at lower concentrations in wastewater (mainly food biomarkers), while direct injection of diluted wastewater samples was used for other analytes, including alcohol and tobacco/nicotine biomarkers, artificial sweeteners, antidiabetic metformin, certain vitamins, and a few other food biomarkers. The method validation parameters, including SPE recovery and accuracy, were acceptable in most cases, and the method sensitivity was sufficient to enable reliable determination of the target biomarkers in real samples. Regarding stability in wastewater during sample collection and storage, most biomarkers remained stable at 4 °C for 24 h, but moderate to high loss of some analytes occurred during the freeze-thaw cycle. The method's applicability was verified using 24-h wastewater samples from four Croatian cities, confirming its suitability for WBE.

Indexed as

BiomarkersDietLife StyleWastewaterWater Pollutants, ChemicalChromatography, High Pressure LiquidHumansLimit of DetectionLiquid Chromatography-Mass SpectrometryReproducibility of ResultsSolid Phase ExtractionTandem Mass SpectrometryWastewater-Based Epidemiological MonitoringBiomarkersWastewaterWater Pollutants, ChemicalFood biomarkersLC–MS/MSMethod developmentStabilityWastewater analysisWastewater-based epidemiology

Identifiers

PMID42062594
PMCPMC13541833

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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.