Journal of hazardous materialsCelluloseCarbarylMachine LearningGelsSmartphone
Rapid and on-site detection of carbaryl in complex matrices using cellulose-based organogel sensor with assist of machine learning.
Shuai Liu, Lili Yao, Jianpeng Chen, Kaiying Hu, Shengjie Gao, Ling Yan, Yu Mao, Baolei Dong, Lei Zheng
Published: 202610.1016/j.jhazmat.2025.140908
Abstract
Rapid and on-site monitoring of carbaryl residues in complex matrix is important for ensuring environmental and food safety, but it also presents significant challenges. We have developed a cellulose organogel sensor, which, with the aid of smartphon…
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