Interpretable AI-driven multidimensional chemical fingerprints for geographical authentication of Euryales Semen

Interpretable AI-driven multidimensional chemical fingerprints for geographical authentication of Euryales Semen

Abstract Euryales Semen (ES, Euryale ferox Salisb.) is a valuable aquatic food in Asia. Its quality and price depend on its geographical origins. To ensure the authenticity of ES, a tracing strategy using stable isotopes, elements, and starch composition with interpretable algorithms was successfull...

Full description

Saved in:
Bibliographic Details
Main Authors: Daixin Yu, Cheng Qu, Jing Nie, Pei Wen, Yuyang Zhao, Caiyan Dai, Hui Yan, Yuwei Yuan, Qinan Wu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Science of Food
Online Access:https://doi.org/10.1038/s41538-025-00510-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items