Evidence map›Paper›PMID 39479723›Full record

ArticleFood science & nutrition2024

The method based on ATR-FTIR spectroscopy combined with feature variable selection for the boletus species and origins identification.

Zhiyi Ji, Honggao Liu, Jieqing Li, Yuanzhong Wang

Abstract read
In one paragraph

Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhiyi JiCollege of Resources and Environmental Yunnan Agricultural University Kunming China.
Honggao LiuYunnan Key Laboratory of Gastrodia and Fungi Symbiotic Biology Zhaotong University Zhaotong China.
Jieqing LiCollege of Resources and Environmental Yunnan Agricultural University Kunming China.
Yuanzhong WangInstitute of Medicinal Plants, Yunnan Academy of Agricultural Sciences Kunming China.ORCID https://orcid.org/0000-0001-5376-757X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild boletus mushrooms, which are macrofungi of the phylum Basidiomycetes, are a nutritious and unique natural food that is widely enjoyed. Since boletus are consumed with problems of indistinguishable toxic and non-toxic species and heavy metal enrichment, their species identification and traceability are crucial in ensuring quality and safety of consumption. In this study, the attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy technique combined with three feature variable extraction methods, manual selection method, semi-manual selection method, and algorithm method, were used to improve the accuracy and computational speed of the model identification, and the models were established for the identification of boletus species with an accuracy of up to 100% as well as for the identification of boletus origin with an accuracy of 86.36%. It was found that the best methods to improve the accuracy of the models were semi-manual selection, manual selection and algorithmic selection in that order. This study can provide rapid and accurate species identification and origin traceability of wild boletus, and provide theoretical basis for the rational use of feature variable selection methods.

Indexed as

feature variable selectionfood safetymid‐infrared spectroscopyspecies identificationtraceabilitywild boletus

Identifiers

PMID39479723
PMCPMC11521652

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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.