Evidence map›Paper›PMID 42279800›Full record

ArticleFoods (Basel, Switzerland)2026

Non-Targeted Hyperspectral Imaging Screening of Adulterants and Congeneric Species in

Zhizhi Huang, Kai Chen, Haoyuan Ding, Zhangting Wang, Yilei Zhang, Huangwei Li, Ziyuan Liu, Fan Yan, Yujia Dai

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

9 authors.

Zhizhi HuangCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.
Kai ChenCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.
Haoyuan DingCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.
Zhangting WangCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.
Yilei ZhangCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.
Huangwei LiCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.
Ziyuan LiuCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0009-0009-7264-2954
Fan YanCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.
Yujia DaiCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China.ORCID 0000-0002-3452-0835

Funding

College Students' Innovative Entrepreneurial Training Plan Program 202510341084Zhejiang Provincial Natural Science Foundation ZCLQN25A0408
6 · The paper itself

Abstract

Hyperspectral imaging has emerged as a powerful tool for food quality assessment, yet most existing methods rely on supervised classification and require prior knowledge of adulterant categories. This study applies a non-targeted screening approach based on a deep spectral autoencoder to detect adulterants in

Indexed as

adulteration detectionanomaly detectioncongeneric speciesdeep autoencoderFritillariahyperspectral imaging

Identifiers

PMID42279800
PMCPMC13257028

What OpenQuestion holds

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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.