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Verified CAS / Academic Author2 Decoded Studies

Prof. LONG Tao

School of Environment, Tsinghua University

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3833-1

Au@TiN Hybrid Nanostructures with Geometric, Compositional, and Optical Tunability

Developing plasmonic nanomaterials with compositions beyond noble metals is crucial for expanding their applications. Transition metal nitrides, such as titanium nitride (TiN), exhibit excellent plasmonic optical properties and photothermal conversion efficiency, showing promise in catalysis, photothermal therapy, and seawater desalination. However, the structure-property relationship governing their plasmonic optical properties remains unclear. Here, we constructed Au@TiN core-shell nanostructures and systematically investigated the tunability of their geometry, composition, and optical properties. By varying the Au core size and TiN shell thickness, we achieved precise control over the localized surface plasmon resonance (LSPR) from visible to near-infrared wavelengths. Single-particle scattering spectroscopy revealed distinct plasmon hybridization modes, with experimental spectra matching theoretical simulations. The Au@TiN nanostructures exhibited enhanced photothermal conversion efficiency (η = 78.5%) under 808 nm laser irradiation, significantly outperforming pure TiN nanoparticles (η = 45.2%). This work demonstrates multi-factor control over plasmonic effects in TiN, providing insights for designing TiN-based plasmonic nanomaterials for catalysis and sensing.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202510018

Assessment Methodology and Application for Stabilization Process of Aged Municipal Solid Waste Landfills

Scientific assessment and prediction of the stabilization process in aged municipal solid waste (MSW) landfills are critical for reliable risk evaluation and remediation decision-making. Existing methods often fail under data-scarce conditions and lack temporal predictive capability. This study establishes a 'spatial characterization–temporal prediction' framework to address these gaps. The methodology integrates grid-based sampling, laboratory analysis of biological stability indicators (AT4), and LandGEM model simulations to assess current stabilization states and predict completion timelines. Applied to a landfill in southwest China, results reveal significant spatial heterogeneity in waste stabilization, strongly correlated with waste age and influenced by leachate recirculation of membrane concentrate. None of the landfill zones had reached full stabilization; predicted times to completion were: Zone D (17 years), Zone C (13 years), Zone B (8 years), and Zone A (1 year). Based on these findings, a systematic management strategy is proposed, including zoned gradient management, targeted control of lag zones, and dynamic planning. This study provides a theoretical basis for site-specific management and serves as a reference for similar landfills.