Deciphering quality decline in Peucedani Radix: An interpretable deep learning framework integrating multimodal analysis across the supply chain
Year: 2026
Type: article
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.
Source: Industrial Crops and Products
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $3,720
Awards: G108783435, G6093526198
OpenAlex ID: W7162200420
