Au nanozyme-based colorimetric sensor array integrates machine learning to identify and discriminate monosaccharides

[Display omitted] As different monosaccharides exhibit different redox characteristics, this paper presented a novel colorimetric sensor array based on the glucose oxidase-like (GOx-like) activity of Au nanoparticles (NPs) for monosaccharides identification. AuNPs can use O2, ABTS+•, or [Ag(NH3)2]+...

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Bibliographic Details
Published in:Journal of colloid and interface science 2024-10, Vol.672, p.200-208
Main Authors: Huang, Sijun, Xiang, Henglong, Lv, Jiachen, Zhu, Dongwei, Yu, Liqiang, Guo, Yi, Xu, Li
Format: Article
Language:English
Subjects:
Au nanozyme
Glucose oxidase
Machine learning
Monosaccharide
Sensor array
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Summary:[Display omitted] As different monosaccharides exhibit different redox characteristics, this paper presented a novel colorimetric sensor array based on the glucose oxidase-like (GOx-like) activity of Au nanoparticles (NPs) for monosaccharides identification. AuNPs can use O2, ABTS+•, or [Ag(NH3)2]+ as an electron acceptor to catalyze the oxidation of monosaccharides in different velocity, resulting in cross-responsive signals. The current sensor array can distinguish between different monosaccharides or their mixtures through linear discriminant analysis (LDA) and hierarchical clustering analysis (HCA). Moreover, the glucose and fructose concentrations can be estimated simultaneously using a neural network regression model based on the sensor array. This method shows potential for monosaccharide detection in industrial, medical, and biological applications.
ISSN:0021-9797
1095-7103
1095-7103
DOI:10.1016/j.jcis.2024.06.003