A Novel Pattern Recognition Method for Non-Destructive and Accurate Origin Identification of Food and Medicine Homologous Substances with Portable Near-Infrared Spectroscopy.

Wei Liu, Ziqin Zhang, Yang Liu, Liwen Jiang, Pao Li, Wei Fan

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Learning Compact Multispectral Signatures for Geographical-Origin Authentication ofMolecules (Basel, Switzerland) · 2026
Article
Interpretable Spectral Evidence Learning from Vis/NIR Imaging for Non-Destructive Authentication of Herbal Medicines.Molecules (Basel, Switzerland) · 2026
Article

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.

Wei LiuCollege of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Ziqin ZhangCollege of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Yang LiuCollege of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-7450-3220

Liwen JiangCollege of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0003-2522-8688

Pao LiCollege of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-5386-9397

Wei FanCollege of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Funding

Hunan Agricultural University Interdisciplinary Research Youth Guidance Project 2024XKJC10Jiangmen City's Key Research and Development Project "Open bidding for selecting the best candidates" 2023780200070009226The Open Fund of the Guangdong Provincial Key Laboratory of Utilization and Conservation of Food and Medicinal Resources in Northern Region FMR2023012Z

6 · The paper itself

Abstract

In this study, a novel pattern recognition method named boosting-partial least squares-discriminant analysis (Boosting-PLS-DA) was developed for the non-destructive and accurate origin identification of food and medicine homologous substances (FMHSs). Taking

Indexed as

Food AnalysisPattern Recognition, AutomatedAngelicaDiscriminant AnalysisGastrodiaLeast-Squares AnalysisPrincipal Component AnalysisSpectroscopy, Near-Infraredboosting–partial least squares–discriminant analysisfood and medicine homologous substancesnear-infrared spectroscopyorigin identificationpartial least squares–discriminant analysis

Identifiers

PMID40942090

DOI10.3390/molecules30173565

PMCPMC12430102

What OpenQuestion holds

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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.