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Prof. WAN Meilin

Hubei University

Research Publications & English Decoded Briefs

Showing 2 publications
New Carbon Materials2026DOI: 10.1016/S1872-5805(26)61116-X

A Standardized Dataset of Linear Sweep Voltammetry Curves for the Acidic Oxygen Reduction Reaction on Carbon-Supported Catalysts in Sulfuric Acid Medium

A standardized dataset of linear sweep voltammetry (LSV) curves is presented for evaluating the oxygen reduction reaction (ORR) performance of carbon-supported catalysts in acidic media. All electrochemical tests were conducted in O2-saturated 0.5 mol L−1 H2SO4 at controlled rotation speeds using a rotating disk electrode. The dataset comprises 120 validated entries from both non-precious metal (MNC) and platinum-based (Pt-MC) catalysts, including original LSV curves and extracted performance parameters such as onset potential, half-wave potential, and limiting current densities at different rotation speeds. Data processing involved potential conversion to the reversible hydrogen electrode (RHE) scale, background subtraction, outlier removal, and reproducibility checks with defined quality control thresholds (relative standard deviation ≤2% for E1/2 and ≤5% for limiting current). The standardized collection serves as a reliable benchmark for catalyst performance comparison, supports kinetic and mass transport analysis, and provides a structured data source for machine learning applications in electrocatalysis. The dataset is openly available via Science Data Bank, with a DOI, and is intended as a dynamic resource for the ORR electrocatalysis community.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3417-1

Enzyme-Functionalized Field-Effect Transistors Based on Liquid-Metal-Derived Ultrathin SnO2 Films for Glucose Detection

The increasing global incidence of diabetes necessitates advanced glucose monitoring technologies that offer continuous, painless, and user-friendly solutions. Non-invasive sweat glucose detection faces persistent challenges in sensitivity and selectivity. This work employs ultrathin SnO2 films, derived from liquid Sn-Bi alloy exfoliation and subsequent annealing, as the active channel in back-gate field-effect transistors (FETs) for glucose sensing. The defective surface hydroxyl groups serve as effective anchoring sites for stable glucose oxidase (GOX) immobilization. Enzymatic glucose oxidation generates positive charge accumulation on the SnO2 layer, modulating charge carrier density and enhancing channel current. This effect is amplified by the FET's subthreshold characteristics under negative back-gate voltage, enabling rapid, highly sensitive, and selective glucose sensing. The optimized device achieves an ultrahigh sensitivity of 1211.11 μA cm−2 μM−1 and demonstrates near-specific glucose detection in human sweat, indicating significant potential for non-invasive, continuous glucose monitoring in practical applications.

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