An Emerging Machine Learning Strategy for the Fabrication of Nanozyme Sensor and Voltametric Determination of Benomyl in Agro-Products

An Emerging Machine Learning Strategy for the Fabrication of Nanozyme Sensor and Voltametric Determination of Benomyl in Agro-Products

An emerging machine learning (ML) strategy for the fabrication of nanozyme sensor based on multi-walled carbon nanotubes (MWCNTs)/graphene oxide (GO)/dendritic silver nanoparticles (AgNPs) nanohybrid and the voltametric determination of benomyl (BN) residues in tea and cucumber samples is proposed....

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Bibliographic Details
Main Authors: Ai, S. (Author), Geng, X. (Author), Li, M. (Author), Wang, X. (Author), Wen, Y. (Author), Wu, R. (Author), Xiong, Y. (Author), Xu, L. (Author), Yao, H. (Author)
Format: Article
Language:English
Published: IOP Publishing Ltd 2022
Subjects:
Agro-products
Benomyl
Dendritic silver nanoparticles
Dendritics
Electrochemical sensors
Fabrication
Genetic algorithms
Intelligent sensing
Learning strategy
Least squares approximations
Machine-learning
Multiwalled carbon nanotubes (MWCN)
Multi-walled-carbon-nanotubes
Nanohybrids
Neural networks
Silver nanoparticles
Support vector machines
Support vector machines algorithms
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