Evidence map›Paper›PMID 41829155›Full record

ArticleFoods (Basel, Switzerland)2026

High Accuracy Quantification of Aflatoxin B1 via a Compact Smart Gas Sensing System Assisted by Dual-Branch Convolutional Neural Network.

Changyi Liu, Yu Guo, Qi Bao, Junqiao Li, Peipei Huang, Xiulan Sun

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

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

6 authors.

Changyi LiuSchool of Integrated Circuits, Jiangnan University, Wuxi 214122, China.
Yu GuoSchool of Integrated Circuits, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-8674-9455
Qi BaoInternational Joint Laboratory on Food Safety, School of Food Science and Technology, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi 214122, China.
Junqiao LiSchool of Integrated Circuits, Jiangnan University, Wuxi 214122, China.
Peipei HuangSchool of Integrated Circuits, Jiangnan University, Wuxi 214122, China.
Xiulan SunInternational Joint Laboratory on Food Safety, School of Food Science and Technology, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-1188-9613

Funding

Xiulan Sun 2022YFF1101100Xiulan Sun 32125031
6 · The paper itself

Abstract

Mycotoxin contamination of grains during storage and transportation represents a significant threat to global food security. Conventional detection methods exhibit limitations in terms of real-time monitoring. This study presents a compact smart gas sensing system for mycotoxins, facilitating non-destructive testing of corn infected with fungi by analyzing the volatile organic compounds (VOCs) emitted during fungal growth. It also facilitates the precise quantitative detection of Aflatoxin B

Indexed as

AFB1dual-branch CNNgas sensorgrainsreal-time detectionVOCs

Identifiers

PMID41829155
PMCPMC12984427

What OpenQuestion holds

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LicenceCC BY
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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.