ArticleACS environmental Au2026
Browsing FAIR Transformation Product Information with FAIR-TPs.
Article in ACS environmental Au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- A concept for the molecular design of readily treatable chemicals.RSC sustainability · 2026Review
- Persistence Assessment of Chemicals: Trajectories toward New Approach Methodologies (P-NAMs).Environmental science & technology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Considering transformation products (TPs) in environmental studies remains a huge challenge for scientists, from identification in samples via mass spectrometry to inclusion in chemical regulation. This article introduces FAIR-TPs, a Web site to browse openly available TP data collated from literature sources. The data is sourced from several community-contributed environmental data sets on the NORMAN Suspect List Exchange (NORMAN-SLE), plus a data set from ChEMBL available through PubChem, with links to templates and contact details to encourage further community contributions. The data are compiled regularly using an open source workflow, archived and versioned on Zenodo under a CC-BY license, then processed and displayed on FAIR-TPs. FAIR-TPs currently contains 11,190 reactions involving 9,435 compounds from 11 sources, covering human and environmental transformations through to high energy water treatment reactions. A graph-based representation of the transformations (compounds as nodes and reactions as edges) is stored in a Neo4j database as a Directed Graph and made publicly accessible online through a Django Web Application. Users can retrieve the shortest directed pathways between predecessors (parents) and successors (transformation products/metabolites), search by SMARTS substructures, or explore local reaction neighborhood data on individual compounds. Interactive network visualizations provide ways for users to view multistep transformations in a smooth, user-friendly interface, while exploring transformation pathways. The compound/reaction metadata provide links to further information about the chemicals and data sources. Key statistics, including number of reactions/compounds, top compounds, reaction types, and mass differences are summarized from the current data set. FAIR-TPs is designed to be a public resource to support suspect and nontarget screening workflows, helping scientists identify data gaps and interpret complex transformation reactions. The FAIR-TPs website is openly available at https://fairtps.lcsb.uni.lu.
Indexed as
Identifiers
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.