Evidence map›Paper›PMID 41551169›Full record

ArticleCurrent research in food science2026

Near-infrared hyperspectral imaging combined with elemental and isotopic analyses reflects geographical origins of cultured salmonids.

Dawei Sun, Li Li, Cui Han, Chengquan Zhou, Chen Li, Hongbao Ye

Abstract read
In one paragraph

Article in Current research in food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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5 · Who and what money

Authors and funding

6 authors.

Dawei SunInstitute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310000, PR China.
Li LiKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, PR China.
Cui HanKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, PR China.
Chengquan ZhouInstitute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310000, PR China.
Chen LiInstitute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310000, PR China.
Hongbao YeInstitute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310000, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The geographical tracing of high-value salmonids is essential in mitigating food fraud and ensuring authenticity. This study combined hyperspectral imaging with elemental/isotopic profiling to reflect geographical origin information of salmonids and improve the explainability of discrimination models. Pearson correlation analysis was conducted using spectra and elements/isotopes for spectral fingerprinting, followed by developing machine/deep learning models with full spectra and extracted spectral features, respectively. The key isotopes and elements were further predicted using random forest modeling. The results indicated elements and isotopes highly correlating with spectral regions around 900, 1000, and 1200 nm, reflecting important spectral profiling of geographical origins for fresh salmonid products. Further, all discrimination models achieved acceptable overall accuracies (>65 %), with SFS-ELM achieved the highest precision (88.13 %). Key elements/isotopes were satisfactorily predicted (R

Indexed as

Geographical originsMachine learningNear-infrared hyperspectral imagingSalmonids

Identifiers

PMID41551169
PMCPMC12810333

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.