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HJ
Verified CAS / Academic Author2 Decoded Studies

Prof. HU Junjie

Guangdong University of Technology, School of Environmental Science and Engineering; Dongguan University of Technology, School of Environment and Civil Engineering

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4360-7

Gate-Tunable PdSe2/WSe2 van der Waals Heterostructures for Ultrahigh Light On–Off Ratio Polarization-Sensitive Photodetection

Polarization-sensitive photodetection is critical for advanced optical communication and imaging systems, yet conventional photodetectors suffer from low on-off ratios and limited polarization discrimination. Here, we report gate-tunable PdSe2/WSe2 van der Waals heterostructures that achieve ultrahigh light on-off ratio and polarization-sensitive photodetection. The heterostructure forms a type-II band alignment, enabling efficient charge separation and self-powered operation. By applying a gate voltage, the photoresponse can be modulated, achieving an on-off ratio exceeding 10^6 under illumination. The device exhibits a high responsivity of 1.2 A/W and a specific detectivity of 10^12 Jones at room temperature. Polarization-sensitive measurements reveal a linear dichroism ratio of 2.1 at 532 nm, attributed to the anisotropic crystal structure of PdSe2. The photodetector operates over a broad spectral range from visible to near-infrared (400-1000 nm) with fast response times (rise/fall < 100 μs). The gate-tunable capability allows dynamic control of the photocurrent, enabling adaptive sensing applications. These results demonstrate that PdSe2/WSe2 heterostructures are promising candidates for high-performance, polarization-sensitive photodetectors, offering a pathway for next-generation optoelectronic devices.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025031102

Rational Design of Laccase Mutants for Enhanced Catalytic Degradation of Benzene-Containing Pollutants: A Computational Insight into Binding Pocket Engineering

Laccases are promising biocatalysts for environmental remediation, yet their application is hindered by the instability and limited substrate affinity of wild-type enzymes. Here, we report a computational strategy integrating homology modeling, molecular docking, and virtual mutagenesis to engineer high-performance laccase mutants targeting benzene-containing pollutants. Structural analysis revealed that fungal laccase (Trametes versicolor, T.v) exhibited stronger binding affinities for aniline, o-phenylenediamine, and 1-hydroxybenzotriazole (HBT) compared to bacterial laccase (Bacillus subtilis, B.s), attributed to optimized hydrophobic and hydrogen-bond interactions within the substrate-binding pocket. Virtual mutagenesis identified critical residues (e.g., Ser113, Leu459) regulating substrate stability. Notably, mutations at Ser113 to Arg/Glu/Leu significantly enhanced binding energy (ΔG ≤ −7.1 kcal·mol−1 for HBT) by narrowing the pocket exit and reinforcing hydrophobic constraints. Mechanistically, polar mutations in the pocket interior promoted hydrogen bonding, while hydrophobic substitutions at peripheral residues restricted substrate dissociation. Our findings establish a dual-region engineering principle—enhancing hydrogen bonds internally and hydrophobicity externally—to optimize laccase activity. This work provides a generalizable framework for the rational design of oxidoreductases in pollutant degradation.