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Verified CAS / Academic Author4 Decoded Studies

Prof. CHEN Shuang

Tongji University

Co-Affiliations:Chongqing Technology and Business University, Engineering Research Center for Waste Oil Recycling Technology and Equipment, Ministry of Education, Chongqing 400072, China

Research Publications & English Decoded Briefs

Showing 4 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4260-5

Multi-Interface Engineering Modulated Bidirectional Polysulfide Conversion for Advanced Lithium-Sulfur Batteries

Lithium-sulfur batteries (LSBs) are recognized as a leading candidate for next-generation energy storage due to their high theoretical specific capacity (1675 mAh g⁻¹). However, the shuttle effect of lithium polysulfides (LiPSs) severely limits cycle life and energy efficiency. Here, we report a multi-interface engineering strategy employing a MnO₂-TiO₂@Ti₃C₂ MXene (MT@MX) heterojunction, synthesized via a facile redox reaction between MXene and KMnO₄, to modulate bidirectional polysulfide conversion. The 2D structure with high conductivity and abundant heterogeneous interfaces facilitates fast ion/electron transfer, reduces reaction energy barriers, and enhances adsorption via d-band center effects. The stepped built-in electric field (BIEF) in MT@MX lowers the migration energy barrier of LiPSs from catalytic MXene to TiO₂ and then to adsorptive MnO₂, enabling reversible migration across multi-interfaces. Optimized heterointerfaces synergistically integrate adsorption, diffusion, and catalytic conversion, yielding excellent cycling stability even at a high sulfur loading of 6.4 mg cm⁻². This work demonstrates that constructing heterojunctions with stepped BIEF offers a feasible approach to modulate interfacial diffusion and provides a new design strategy for high-performance LSB electrocatalysts.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3860-0

Ionogel Sensor for Reproducible Detection of Trace Methamphetamine Analogues

Drug detection is critical for public health and security, yet reversible and highly sensitive sensing materials remain scarce. This study presents a novel ionogel sensor material, poly(ethylene glycol) diacrylate (PEGDA)/1-butyl-3-methylimidazole tetrafluoroborate, for reproducible detection of N-methylphenylethylamine (MPEA), a structural analogue of methamphetamine. The ionogel is fabricated by immobilizing a flowable ionic liquid within a PEGDA network via UV curing, preserving ionic mobility for efficient conduction. Integrated on a flexible poly(ethylene naphthalate) substrate, the sensor exhibits over 72.6% transmittance in the visible spectrum, enabling concealed attachment. Utilizing non-covalent interactions, the sensor achieves reproducible MPEA detection at sub-ppb levels at room temperature, with a theoretical detection limit of 317 ppt. It demonstrates high selectivity and consistency. Ionic conductivity was confirmed via current-voltage tests and impedance spectroscopy, and the sensing mechanism was clarified. The device maintains reliable performance under bending, indicating suitability for dynamic environments. With Bluetooth integration for wireless data transmission, the sensor shows strong potential for practical, discreet drug monitoring in real-world applications.

The Chinese Journal of Process Engineering2026DOI: 10.12034/j.issn.1009-606X.225185

CFD Simulation and Structural Optimization of a Thermal Catalytic Degradation Reactor for Sulfur Hexafluoride

Sulfur hexafluoride (SF6), widely used as an insulating gas in high-voltage electrical equipment, possesses a global warming potential (GWP) 25,200 times that of CO2, necessitating efficient degradation technologies. This study employed computational fluid dynamics (CFD) to simulate the thermal catalytic degradation of SF6 in a fixed-bed reactor, integrating models for porous media, heat transfer, turbulence, and chemical kinetics. The simulations revealed significant radial non-uniformities in pressure, velocity, temperature, and species concentration distributions, with temperature identified as the dominant factor influencing degradation efficiency. Radial temperature gradients caused uneven reaction rates, with degradation rates near the wall substantially exceeding those at the central axis, thereby reducing overall SF6 conversion. To address this, structural optimizations were implemented, including reducing the reactor tube diameter and incorporating inert porous media with high thermal conductivity at both ends of the catalytic section. These modifications enhanced radial heat transfer, homogenized the temperature field, and improved the uniformity of reaction rates and species concentrations. Parametric studies on inlet gas velocity showed that both excessively low and high flow rates were detrimental: low velocities led to underutilization of the downstream catalyst and increased energy consumption, while high velocities deteriorated heat transfer and exacerbated radial temperature gradients. The optimal inlet velocity range was determined to be 0.4–0.8 m/s for a reactor tube inner diameter of 10 mm, balancing catalyst utilization, energy consumption, and degradation efficiency. This research provides data-driven guidance for the design and scale-up of SF6 catalytic degradation reactors.

Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(26)60645-7

Research Progress on Mn-Based Catalysts for Catalytic Combustion of Volatile Organic Compounds

Volatile organic compounds (VOCs) from diverse sources severely impact atmospheric environment and human health. Manganese (Mn)-based catalysts, with exceptional structural diversity and abundant redox versatility, are widely used in catalytic combustion of VOCs. This review summarizes the catalytic performance of various Mn-based catalysts, emphasizing preparation strategies for high-performance materials and systematically analyzing how active site construction influences VOC combustion. Catalytic oxidation mechanisms are expounded in detail. Key aspects include MnOx polymorphs, doping with alkali metals (e.g., K+), transition metal composites (Co, Cu), and noble metal loading (Pt, Pd, Au). Performance metrics such as T90 values, oxygen vacancy concentrations, and specific surface areas are discussed. The review provides insights into deactivation mechanisms and anti-poisoning strategies, offering practical guidance for VOC pollution remediation.