Evidence map›Paper›PMID 42494190›Full record

ArticleJournal of food science2026

Rapid Detection of Deoxynivalenol in Soybeans by NIR Spectroscopy Coupled With ETs-PLS Feature Selection Method.

Qingxiao Ma, Longyan Zhang, Yongfeng Ju, Guoao Xie, Feiming Li

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Article in Journal of 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.

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

5 authors.

Qingxiao MaFaculty of Electronic Information Engineering, Huai'an University, Huainan, China.ORCID https://orcid.org/0000-0002-7083-9309
Longyan ZhangFaculty of Electronic Information Engineering, Huai'an University, Huainan, China.
Yongfeng JuFaculty of Electronic Information Engineering, Huai'an University, Huainan, China.
Guoao XieInstitute of Energy, Hefei Comprehensive National Science Center, Hefei, China.
Feiming LiSchool of Electronic Engineering, Huainan Normal University, Huainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed a hybrid feature selection approach combining Extra Trees (ETs) with partial least squares (PLS) regression for rapid and accurate deoxynivalenol (DON) quantification in soybeans using near-infrared (NIR) spectroscopy. The ETs algorithm ranked spectral variables by importance, and the top 50 wavelengths were selected as inputs for the PLS model. The proposed ETs-PLS method was compared with three conventional wavelength selection methods, and the ETs-PLS achieved superior performance with R

Indexed as

Food ContaminationGlycine maxTrichothecenesAlgorithmsLeast-Squares AnalysisSpectroscopy, Near-InfrareddeoxynivalenolTrichothecenesdeoxynivalenolExtra Treesfeature selectionnear‐infrared spectroscopyPLS regressionsoybean

Identifiers

PMID42494190
PMCPMC13396968

What Socratic holds

Textmetadata
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.