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Verified CAS / Academic Author2 Decoded Studies

Prof. LI Bingbing

Yulin University, Institute of Architectural Engineering, Yulin 719000, China; Shihezi University, College of Water Conservancy & Architectural Engineering, Shihezi 832000, China

Research Publications & English Decoded Briefs

Showing 2 publications
Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(25)60619-0

Low-Temperature NH3-SCR Denitration Mechanism of Biochar-Supported Mn-Cu-Nb Catalyst

Under the context of global energy transition and carbon neutrality, controlling nitrogen oxide (NOx) emissions from biomass combustion is of great significance, and the development of high-efficiency low-temperature catalysts has become a current research focus. In this study, Nb was used to dope and modify the Mn7-Cu3/BCN catalyst to construct the Mn7-Cu3-Nbx/BCN system. The doping amount was optimized through selective catalytic reduction (SCR) activity tests. The reaction mechanism was explored by combining in situ DRIFTS and density functional theory (DFT) simulations. Experimental findings revealed that the catalyst doped with 0.05% Nb achieved the optimal performance, sustaining a NO conversion efficiency of ≥94% within the temperature window of 150−275 °C while demonstrating improved resistance to alkali metal K poisoning. Mechanistic analyses showed that at low temperatures, the catalyst facilitated the SCR reaction via both the Eley-Rideal (E-R) and Langmuir-Hinshelwood (L-H) pathways, with the synergistic interaction between multiple active sites driving the efficient conversion of NH3 and NO. DFT calculations further confirmed that both pathways had the characteristics of low reaction energy barriers and significant exothermicity, ensuring the high activity and feasibility of the low-temperature reaction. The findings provided foundational theoretical support for the design of Nb-doped Mn-Cu-supported catalysts and the exploration of the underlying working mechanisms.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202608025

Source Apportionment and Health Risk Assessment of Heavy Metals in Hongjiannao Lake Based on the APCS-MLR Model

To evaluate heavy metal contamination and human health risks in desert lakes, this study analyzed concentrations of seven heavy metals (Hg, Pb, Cu, Zn, Cd, Cr, As) in Hongjiannao Lake, Northern Shaanxi, from 2013 to 2024. The absolute principal component score-multiple linear regression (APCS-MLR) model quantitatively apportioned pollution sources, and a health risk assessment model evaluated non-carcinogenic and carcinogenic risks. Results showed average concentrations of the seven metals did not exceed background values, but 28.57% of sampling points exceeded background for As, with a maximum exceedance factor of 1.92. Total average concentration decreased from 112.51 μg/L (2013–2016) to 58.80 μg/L (2017–2024), attributed to the 2016 closure of small coal mines and ecological restoration around the 4A scenic area. Source apportionment identified four sources: industrial (35.44%), agricultural (24.67%), natural (23.65%), and traffic (16.23%), indicating industrial dominance. Non-carcinogenic risks were negligible, but carcinogenic risks exceeded the alert value (1×10⁻⁴), with adults at higher risk than children. Oral ingestion was the primary exposure pathway. As and Cd were key control elements, with exceedance rates of 100% and 16.67%, respectively. These findings provide a theoretical basis for health risk prevention and environmental management.