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

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 Cu). In this work, an electrochemical sensor for sensitive quantitative detection of 0.4-4 amol L 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 to enhance signal intensity.

High-power "nesting-doll" biofuel cell enabled by free-standing electrodes with inherent enzymatic function.

Biofuel cell (BFC) is a type of green energy device based on the biocatalyst-mediated redox reaction. However, their relatively low performance has limited their wider application. Here, we proposed a novel all-in-one strategy to design the free-standing electrodes with the inherent enzyme-like activity and high conductivity, in which, the dynamic limitations of the enzyme-electrode interface were eliminated.