Evidence map›Paper›PMID 42630895›Full record

ArticleACS measurement science au2026

A Two-Step Prioritization Framework for the Nontargeted LC-HRMS Analysis of Chemicals of Environmental Concern and Byproducts during Drinking Water Production.

Lapo Renai, Giulia Bonaccorso, Federico Sinigaglia, Andrea Ravalli, Daniela Santianni, Massimo Del Bubba

Abstract read
In one paragraph

Article in ACS measurement science au, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Lapo Renaivan 't Hoff Institute for Molecular Science, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-0738-7901
Giulia BonaccorsoDepartment of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy.
Federico SinigagliaDepartment of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy.
Andrea RavalliPubliacqua S.p.A., Via di Villamagna 90/c, 50126 Florence, Italy.
Daniela SantianniPubliacqua S.p.A., Via di Villamagna 90/c, 50126 Florence, Italy.
Massimo Del BubbaDepartment of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy.ORCID https://orcid.org/0000-0002-6326-6549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing occurrence of chemicals of environmental concern (CECs) in surface and drinking water requires advanced analytical approaches capable of covering the broad chemical space of known and unknown contaminants potentially present in these matrices. Nontargeted analysis (NTA) based on liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) is gaining popularity as it is virtually comprehensive and may provide high data quality. However, NTA has some limitations in terms of sensitivity, which may limit its effectiveness, and offline prioritization processes are usually adopted to bring out the desired features from the vast array of NTA signals. A novel LC-HRMS-based two-stage prioritization framework is proposed to evaluate the combined chemical load by dissolved organic matter and CECs in a drinking water treatment plant (DWTP). For the first time, an experimental design (DoE) approach is adopted to optimize LC-HRMS acquisition parameters for the online prioritization of features responsible for the combined chemical load in the investigated samples. DoE was performed on a training set of 42 regulated CECs, characterized by a wide chemical coverage (e.g., log

Indexed as

design of experimentdissolved organic matteremerging micropollutantshigh-resolution mass spectrometryliquid chromatographyoffline prioritizationonline prioritization

Identifiers

PMID42630895
PMCPMC13495728

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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.