Evidence map›Paper›PMID 42190042›Full record

ReviewEnvironmental science & technology2026

Advancing the Discovery of Emerging Contaminants: A Leap in Technology and Data.

Wenhui Qiu, Pablo Gago-Ferrero, Juliane Hollender, Frederic D L Leusch, Susan D Richardson, Saer Samanipour, Huahong Shi, Zhanyun Wang

Abstract readReview
In one paragraph

Review in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

8 authors.

Wenhui QiuState Key Laboratory of Soil Pollution Control and Safety, Guangdong-Hong Kong Joint Laboratory for Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-9961-3928
Pablo Gago-FerreroInstitute of Environmental Assessment and Water Research, IDAEA-CSIC, 08034 Barcelona, Spain.ORCID 0000-0002-5987-0399
Juliane HollenderSwiss Federal Institute of Aquatic Science and Technology, Eawag, 8600 Dübendorf, Switzerland.ORCID 0000-0002-4660-274X
Frederic D L LeuschAustralian Rivers Institute, School of Environment and Science, Griffith University, Southport, Gold Coast, Queensland 4222, Australia.ORCID 0000-0002-6934-4587
Susan D RichardsonDepartment of Chemistry & Biochemistry, University of South Carolina, 631 Sumter St., Columbia, South Carolina 29208, United States.ORCID 0000-0001-6207-4513
Saer SamanipourVan 't Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Amsterdam 1090, GD, The Netherlands.ORCID 0000-0001-8270-6979
Huahong ShiState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China.ORCID 0000-0003-2978-0680
Zhanyun WangEmpa─Swiss Federal Laboratories for Materials Science and Technology, 9014 St. Gallen, Switzerland.ORCID 0000-0001-9914-7659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging contaminants pose substantial threats to ecosystems and public health. While advances in analytical techniques and chemicals assessment have revealed the impacts of contaminants such as per- and polyfluoroalkyl substances, pharmaceutical residues, and microplastics, knowledge of the vast chemical universe remains limited. This Perspective examines the evolving attention toward emerging contaminants and drivers of their discovery. It identifies key challenges, including methodological limitations in detecting diverse chemical classes, fragmented data landscapes, and delays in translating scientific evidence into regulatory action. We highlight how technological and methodological innovations, particularly advanced analytical technologies, artificial intelligence, and future-oriented assessment frameworks, can shift paradigms in identifying and managing emerging contaminants from reactive to predictive. Critical to this transition is the adoption of open and FAIR principles (Findable, Accessible, Interoperable, and Reusable) and harmonized data standards to enable integration of heterogeneous evidence streams. Furthermore, we advocate coupling early warning systems with "Safe and Sustainable by Design" approaches to prevent regrettable substitution and reduce hazards at the source. Coordinated action across academia, regulators, industry, and funders is essential to establish proactive prevention as the norm in emerging contaminant management.

Indexed as

Environmental PollutantsArtificial IntelligenceEnvironmental MonitoringEnvironmental Pollutantsanalytical technologyartificial intelligencechemical universeemerging contaminantsfuture-oriented assessment frameworksafe and sustainable by design

Identifiers

PMID42190042
PMCPMC13262032

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.