Yang Zhou

An S-scheme Bi ₂ WO ₆ /BiOBr photoelectrochemical biosensor coupled with CHA–CRISPR/Cas12a cascade amplification enables ultrasensitive piR-823 detection for colorectal cancer.

Cu single-atom carbon dots enable self-catalytic electrochemiluminescence imaging of cell–matrix adhesion without exogenous coreactants or excess luminophores.

A disposable glove-derived flexible biosensor employs vertex-selective Pd–Pt nanodendrites catalyzing dissolved oxygen-mediated electrochemiluminescence, quenched by organophosphorus poisoning for on-site detection.

This study presents a sustainable strategy to boost CO ₂ -to-C ₂ H ₄ conversion by constructing Cu–C interfaces using Cu ₂ O nanospheres supported on porous carbon derived from waste coconut shells.

Industrial-level electrochemical CO₂ reduction reaction (CO₂RR) to form HCOO^– and DCOO^– requires robust Sn catalysts with high performance. In this study, the hydrothermal method was employed to load varying amounts of Sn precursors onto waste biomass-derived porous carbon to investigate the structure–activity relationship between Sn loading forms and HCOO^– selectivity. Through comprehensive ex/in situ characterizations, we discovered that with 5% Sn precursor addition, highly dispersed SnO₂ nanoparticles formed on the carbon support, enabling the catalyst to exhibit exceptional HCOO^– activity (Faradaic efficiency exceeding 90%) across a broad potential window. In situ attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) and in situ Raman spectroscopy revealed that the highly dispersed SnO₂ nanoparticles enhance the stability of the *OCHO intermediate. Furthermore, when H₂O was replaced with D₂O, the generation of DCOO^– was observed, and good selectivity was maintained. This study provides a facile strategy for waste biomass conversion and the design of Sn-based catalysts for DCOO^– production.

Strategic engineering of CoS₂/ZnIn₂S₄ heterostructures incorporating Ar plasma-induced sulfur vacancies for boosted electrocatalytic activity in furazolidone detection.

2D metal‐chalcogenide nanoplatelets (NPLs) exhibit promising photocatalysis properties due to their ultrathin morphology, high surface‐to‐volume ratio, and enhanced in‐plane electron transport mobility. However, NPLs, especially cadmium chalcogenides, encounter challenges in CO₂ photoreduction due to insufficient solar energy utilization and fast recombination of photogenerated charge carriers. Defect engineering offers a potential solution but often encounters difficulties maintaining structural integrity, mechanical stability, and electrical conductivity. Herein, by taking two monolayers (2ML) CdSe NPLs as a model system, selenium (Se) vacancies confined in atomic layers can enhance charge separation and conductivity. A straightforward approach to create Se vacancies in various monolayers CdSe NPLs (2, 4, and 5ML) has been developed, enabling efficient CO₂ photoreduction with a 4‐fold increase in CO generation compared to their defect‐free counterparts. Significantly, accounting for higher charge density and efficient carrier transport due to Se vacancies, defective 2ML CdSe NPLs (V_Se‐2ML CdSe) exhibit CO evolution performance up to 2557.5 µmol g⁻¹ h⁻¹ with no significant decay over 5 h, which is an order of magnitude higher than that of common semiconductor catalysts. This study establishes a practical way to design advanced 2D semiconductor photocatalysts to achieve efficient CO₂ photoreduction via defect engineering.

Semiconductor magic-sized nanoclusters (MSCs) possess atomic-level compositional precision and ultrasmall dimensions, allowing accurate modulation of electrochemiluminescence (ECL) properties, essential for advanced bioanalytical applications. However, low intrinsic ECL intensity and poor stability in bipolar electrode (BPE)-ECL systems hinder their broader use. In this work, we addressed these limitations through doping and direct optical crosslinking strategies, achieving a 24-fold boost in the ECL signal and a fivefold stability increase for doped (CdS)₃₄:Ag MSCs compared with original (CdS)₃₄ MSCs. The resulting BPE-ECL biosensing platform was used for the sensitive detection of glucose with a linear detection range of 10 μM to 1 mM and a detection limit of 3.64 μM. This approach provides a robust strategy to enhance MSC-based ECL biosensing, paving the way for ultrasensitive, stable biosensors for clinical diagnostics and bioanalysis.