Aflatoxin M1 in Milk from South-Central and Northwest China: Prevalence and Integrated Risk Characterization for Different Age-Sex Groups of Consumers.

Xue Zhang, Ting Zhang, Jie Zhang, Yinsheng Qiu, Qirong Lu, Jianglin Xiong, Chong Wang

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 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

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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

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5 · Who and what money

Authors and funding

7 authors.

Xue ZhangSchool of Animal Science and Nutrition Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Ting ZhangSchool of Animal Science and Nutrition Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Jie ZhangSchool of Animal Science and Nutrition Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Yinsheng QiuSchool of Animal Science and Nutrition Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Qirong LuSchool of Animal Science and Nutrition Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Jianglin XiongSchool of Animal Science and Nutrition Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Chong WangKey Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, College of Animal Science and Technology & College of Veterinary Medicine, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0003-2770-4836

Funding

Jiaxing Commissioner Project K2024-1-1-17, K2024-1-1-18, K2024-1-1-19Science and Technology Cooperation Plan of "SanNongJiuFang" of Zhejiang Province 2026SNJF067Zhejiang Animal Husbandry Industry Technology Project and Cooperative Extension Plan of Major Agricultural Technologies of Zhejiang Province 2025ZDXT15-03Zhejiang Provincial Science and Technology Plan Project 2025C04036

6 · The paper itself

Abstract

Aflatoxin M1 (AFM1) is a Group 1 human carcinogen that poses a public health risk through milk contamination. This study investigated AFM1 contamination in pasteurized and ultra-high temperature (UHT) milk from south-central and northwest China, and assessed the associated health risks for consumers based on age, sex, and milk consumption scenarios. In total, 902 milk samples (493 pasteurized, 409 UHT) were collected during the summer and winter seasons of 2023-2024. AFM1 levels were determined using a validated enzyme-linked immunosorbent assay. AFM1 was detected in 75.39% of samples (mean concentration, 12.35 ± 10.27 ng/L; maximum, 75.57 ng/L). While 1.55% of samples exceeded the EU maximum limit (50 ng/L), all complied with the Chinese limit (500 ng/L). Contamination was significantly higher in south-central China than northwest China, higher in winter than summer, and higher in pasteurized milk than UHT milk (

Indexed as

aflatoxin M1Chinamilkprevalencerisk characterization

Identifiers

PMID42354070

DOI10.3390/foods15122102

PMCPMC13298350

What Socratic holds

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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 Socratic graph.