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Updated: Sep 7, 2025

Colorimetric Paper-based Detection of Escherichia coli, Salmonella spp., and Listeria monocytogenes from Large Volumes of Agricultural Water
Published on: June 9, 2014
Gong Yue-Hong1,2,3, Yang Tie-Jun4,5,6, Liang Yi-Tao3
1Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, China.
Detecting mold in stored wheat is crucial for food safety. This study introduces a novel, eco-friendly method using ultra-weak luminescence and machine learning, achieving 93.1% accuracy in identifying moldy wheat.
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