ReviewEnvironmental science & technology2026
Advancing the Discovery of Emerging Contaminants: A Leap in Technology and Data.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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What OpenQuestion holds
Registered trials
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.