Deep learning-assisted single-atom detection of copper ions by combining click chemistry and fast scan voltammetry.

ABSTRACT: Cell ion channels, cell proliferation and metastasis, and many other life activities are inseparable from the regulation of trace or even single copper ion (Cu⁺ and/or Cu²⁺). In this work, an electrochemical sensor for sensitive quantitative detection of 0.4-4 amol L^-1 copper ions is developed by adopting: (1) copper ions catalyzing the click-chemistry reaction to capture numerous signal units; (2) special adsorption assembly method of signal units to ensure signal generation efficiency; and (3) fast scan voltammetry at 400 V s^-1 to enhance signal intensity. And then, the single-atom detection of copper ions is realized by constructing a multi-layer deep convolutional neural network model FSVNet to extract hidden features and signal information o

SUBMITTER: Hao T 

PROVIDER: S-EPMC11603177 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature