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Prof. WEI Kai

University of Science and Technology of China

Research Publications & English Decoded Briefs

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SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4419-1

Hydrophilic Single-Atom Interface Unlocks Low-Potential CO Removal on Pt in PEMFCs

Proton exchange membrane fuel cells (PEMFCs) fed with reformate hydrogen suffer severe anode poisoning by trace CO, necessitating high CO electrooxidation potentials that degrade performance and durability. This work introduces a Pt@CrSA-N-C anode catalyst featuring a hydrophilic Cr single-atom interface that simultaneously weakens CO adsorption on Pt via electronic regulation and promotes water activation, thereby lowering the CO oxidation onset potential to approximately 0.13 V vs. RHE. The onset potential was determined by two independent methods: the first potential at which the background-corrected current exceeds 0 mA cm-2 during CO oxidation reaction tests in a three-electrode system, and the potential at which the forward scan current exceeds the N2 background current in CO-stripping voltammetry. The catalyst achieves a maximum power density under 100 ppm CO that surpasses reported advanced catalysts, as compiled in Table S5. Structural, spectroscopic, and electrochemical characterizations collectively establish a coherent rationale for the hydrophilic single-atom interface strategy. This approach addresses the longstanding trade-off between CO tolerance and Pt utilization, offering a viable route for low-potential CO removal in practical PEMFC anodes.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202507046

Carbon Footprint Accounting Method for Electromechanical Products Based on Life Cycle Assessment

Addressing the insufficient applicability and accuracy of carbon footprint accounting for electromechanical products due to data gaps, this study proposes an accounting method based on life cycle assessment (LCA). Using LCA as the overall framework with a system boundary of "cradle to gate", the method constructs a carbon footprint accounting approach combining substitution algorithms and correction coefficients for different data missing scenarios from suppliers, manufacturers, and databases. Data quality indicators and Monte Carlo simulation are employed to quantify data quality and uncertainty, while single-factor and multi-factor sensitivity analyses identify key influencing factors. Taking an optical gyrocompass as a case study, the carbon footprints and uncertainties under eight typical data missing scenarios are explored, and robustness checks are conducted on five typical products including transformers, high-speed diesel engines, and wind turbines. As data missing degree deepens, the carbon footprint deviation of the optical gyrocompass increases from 0.05% to 3.03%, and uncertainty rises from 2.65% to 5.45%. Under mixed data missing scenarios, the carbon footprint uncertainties of all five electromechanical products remain below 10%. The method exhibits wide applicability, strong implementability, and high accuracy, effectively supporting carbon footprint accounting for electromechanical products, reducing carbon tariff risks, optimizing emission reduction strategies, and promoting green development.

Prof. WEI Kai | Publications & Academic Profile | SinoGreenTech | SinoGreenTech