Deciphering quality decline in Peucedani Radix: An interpretable deep learning framework integrating multimodal analysis across the supply chain

• Comprehensive quality assessment of Peucedani Radix across the entire supply chain. • Integrated chemical, molecular, and spectroscopic analyses reveal multifactorial quality decline. • Interpretable deep learning model achieves over 90% accuracy for rapid authentication. • Proposes a novel "gold-standard verification and on-site rapid screening" quality control paradigm.

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Publication Details

Journal
Industrial Crops and Products
Published
2026-05-23
DOI
https://doi.org/10.1016/j.indcrop.2026.123509
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

Deciphering quality decline in Peucedani Radix: An interpretable deep learning framework integrating multimodal analysis across the supply chain

Leilei Gao, Fang Wang, Bangxing Han, XIANGWEN SONG et al.
Industrial Crops and Products
Spectroscopy and Chemometric Analyses
article

Deciphering quality decline in Peucedani Radix: An interpretable deep learning framework integrating multimodal analysis across the supply chain

Leilei Gao, Fang Wang, Bangxing Han, XIANGWEN SONG, Bin Jia, Biqi Liyao, Hui Yan
article en

Abstract

• Comprehensive quality assessment of Peucedani Radix across the entire supply chain. • Integrated chemical, molecular, and spectroscopic analyses reveal multifactorial quality decline. • Interpretable deep learning model achieves over 90% accuracy for rapid authentication. • Proposes a novel "gold-standard verification and on-site rapid screening" quality control paradigm.

Industrial Crops and ProductsVol. 247
Anhui University of Traditional Chinese Medicine (CN), Jiangsu University of Science and Technology (CN)
Openalex Percentile: Top 8%
Spectroscopy and Chemometric Analyses
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