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LJ
Verified CAS / Academic Author2 Decoded Studies

Prof. LI Jiajun

Chinese Academy of Sciences

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3787-x

Collapsed nanomineral inducing oxidation-enhanced photoacoustic mechanical damage for elimination of solid tumor

Circumventing the tumor's defensive antioxidant system and achieving precision cancer therapy remain major challenges in high-efficacy tumor treatments. Here, we propose a synergistic strategy integrating non-oxidative physical ablation and oxidative chemical intervention. An acid-responsive self-collapsing nanomineral PCSB is constructed, comprising poly(acrylic acid)-modified calcium sulfite (CaSO3) and a pH-responsive photoacoustic (PA) therapeutic molecule, aza-BDP. In the tumor acidic microenvironment, PCSB decomposes, releasing PA agents and SO2/Ca2+, thereby enabling combined non-oxidative mechanical damage from PA therapy and oxidative chemical damage from SO2 gas and Ca2+ ions. This dual-action approach effectively reduces resistance conferred by tumor antioxidant mechanisms and improves treatment precision. The study presents a synergistic physical-chemical strategy with significant potential for solid tumor elimination.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025042702

Photochemical Reaction Characteristics and Source Apportionment of VOCs Based on Estimation of Initial Volume Mixing Ratios during Summer in Dalian

This study estimated initial volume mixing ratios of volatile organic compounds (VOCs) in Dalian from June 1 to August 31, 2024, using a photochemical age-based parameterization method, and performed source apportionment with positive matrix factorization (PMF). Observed average TVOCs concentration was 12.49×10⁻⁹, comprising alkanes (84.2%), alkenes (10.4%), and aromatics (5.4%). Corrected initial TVOCs was 14.93×10⁻⁹, indicating a loss rate of 16.4%. Loss rates were highest for alkenes (53.2%), followed by aromatics (23.3%) and alkanes (6.8%). Ozone formation potential (OFP) averaged 21.31×10⁻⁹ (observed) and 38.75×10⁻⁹ (initial), with an OFP loss rate of 45.0%, distributed as alkenes (56.4%), aromatics (32.7%), and alkanes (10.3%). During ozone pollution episodes, TVOCs chemical loss was 1.9 times that of non-pollution periods, with alkene loss reaching 61.6%; OFP loss was 1.2 times higher, with alkenes contributing 88.4% to TVOCs loss. Secondary organic aerosol (SOA) formation potential from 08:00–17:00 was 1.51×10⁻¹ μg·m⁻³, with 99.4% from aromatics and toluene contributing 68.3%. PMF identified five sources: motor vehicles (49.6%), oil and gas volatilization (20.7%), petrochemical enterprises (12.6%), industrial processes (11.2%), and solvent use (5.9%). OFP modeling indicated motor vehicles contributed most to ozone formation (41.1%), followed by petrochemical enterprises (35.8%). During ozone pollution, PMF based on initial concentrations showed petrochemical sources had the highest OFP contribution (42.5%), whereas observed concentrations indicated motor vehicles as the top contributor (42.5%). This discrepancy underscores the necessity of correcting for photochemical losses in source apportionment studies.