Evidence map›Paper›PMID 42344587›Full record

ArticleEnvironment & health (Washington, D.C.)2026

Nontarget Screening and Health Risk of Hazardous Volatile and Semivolatile Organic Compounds in Premade Food Using a Molecular Network Assisted Data Collation Workflow.

Jiyuan Weng, Yuqi Wang, Lei Zhang, Nan Wu, Lirong Gao, Pingping Zhou, Minghui Zheng

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 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

7 authors.

Jiyuan WengState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Yuqi WangState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Lei ZhangNHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China.
Nan WuNHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China.
Lirong GaoState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0002-9477-1206
Pingping ZhouNHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China.
Minghui ZhengState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0001-5270-6759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premade foods have been popular in recent years, but compounds from foods and their packaging may be harmful. A nontargeted screening method was developed for analysis of volatile and semivolatile organic compounds. Fully automated data for molecular network visualization was developed to automatically identify natural substances and substances permitted for addition to food. The workflow tackles the inefficiency of manual processing for massive raw data, which successfully narrowed down over 1,800 raw compounds to 80 for final manual inspection. Hazardous compounds like polycyclic aromatic hydrocarbons, phthalate esters, bisphenol, and organophosphate ester were successfully identified. In addition, other functional chemicals like antioxidants or preservatives were also identified to exist in food, among other suspicious nonintentional compounds, and a lot of them were outside current suspect lists, posting for further concern. The overall intake risk was estimated to be low, but given the current trend toward stricter regulations on bisphenols, the detection of bisphenols in some food samples remains a cause for concern. During chemical prioritization, 1,2-diphenylcyclopropane (PAHs transform product), 3-acridinol, and 9-phenyl (resin making chemical) ranked high due to high toxicity. Nontargeted analysis, combined with our robust data mining and data trimming workflows, can serve as a powerful tool for food safety assessments.

Indexed as

Data miningMolecular networkNontarget analysisPremade foodReady-to-eat food

Identifiers

PMID42344587
PMCPMC13288243

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.