Fig. 1: Schematic diagram of deep learning-assisted SAD of copper ions based on click chemistry and FSV. | Nature Communications

Fig. 1: Schematic diagram of deep learning-assisted SAD of copper ions based on click chemistry and FSV.

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

Fig. 1: Schematic diagram of deep learning-assisted SAD of copper ions based on click chemistry and FSV.

a Target-triggered click chemistry reaction. The reduction of Cu2+ to Cu+ in the sample triggers a click chemistry reaction between the signal unit and the Azide-Fe3O4, resulting in the formation of a complex signal unit-Fe3O4. b Electrochemical sensor. The complex signal unit-Fe3O4 is adsorbed onto the magnetic glassy carbon electrode (MGCE) surface under the action of magnetic force. c FSV detection. At a scan rate of 400 V s−1, the in-situ redox reaction of AgNPs generates electrochemical signals. d Deep learning method for SAD of copper ions. Deep learning enables the distinction between positive and negative signals. BPNS: black phosphorus nanosheet.

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