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Verified CAS / Academic Author4 Decoded Studies

Prof. JIANG Xueqi

Xidian University

Co-Affiliations:Yangzhou University, Nanjing Institute of Technology, Southeast University

Research Publications & English Decoded Briefs

Showing 4 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4245-4

Single-component MXene-based sensor array generates independent and high-dimensional characteristics for discriminating volatile organic compounds

The discrimination of volatile organic compounds (VOCs) at trace concentrations remains a critical challenge for environmental monitoring, industrial process control, and non-invasive disease diagnostics. Conventional electronic noses rely on sensor arrays comprising multiple chemically distinct receptors, which introduces fabrication complexity, calibration drift, and cross-sensitivity. Here, we demonstrate that a single-component Ti3C2Tx MXene (TM) sensor array, engineered through controlled surface chemistry and device architecture, generates independent and high-dimensional characteristics (IHC) sufficient for precise VOC pattern recognition. By exploiting the intrinsic heterogeneity of TM basal planes and edge sites, we achieve differential interaction motifs without expanding elemental composition. The array discriminates VOCs including acetone, ethanol, toluene, and hexane at concentrations down to 100 ppb with classification accuracy exceeding 95%. Principal component analysis reveals distinct clustering with cumulative variance of 92.3% captured by the first three principal components. The sensor exhibits a limit of detection of 50 ppb for acetone and response/recovery times of 12 s and 18 s, respectively. Long-term stability tests over 30 days show less than 5% signal degradation. This single-component strategy simplifies fabrication, reduces calibration overhead, and offers a scalable pathway for miniaturized, low-power VOC sensing platforms compatible with Internet of Things (IoT) deployment.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4426-y

Advances toward stress-assisted degradation of biomedical Mg alloys

Biomedical Mg alloys are candidate biodegradable metals for orthopedic and cardiovascular implants, yet their in vivo service life is governed by coupled mechanical-chemical attack that accelerates loss of mechanical integrity. This review consolidates recent advances in stress-assisted degradation of Mg alloys under physiological conditions, focusing on stress corrosion cracking (SCC), flow-induced corrosion, and corrosion fatigue. Biomechanical-chemical coupling test methods are assessed for their capacity to reproduce physiological loading, fluid shear, and electrolyte chemistry. Mechanistic pathways are analyzed, including anodic dissolution, hydrogen-induced cracking, passivation film rupture, and flow-induced shear stress. Modification strategies for enhancing resistance to stress-assisted degradation are categorized into alloying design, microstructure regulation, and surface treatments. The review further evaluates computer-aided predictive models and multi-physics coupling frameworks that link pit-to-crack transitions, phase-field damage localization, and mechano-chemical peridynamics. Empirical data from the cited literature demonstrate that SCC and corrosion fatigue in chloride-containing media reduce fatigue strength by 40–70% relative to air, while flow-induced shear stresses above approximately 1 Pa disrupt protective films and elevate degradation rates. These findings establish quantitative benchmarks for alloy design and surface engineering. The review concludes that integrating multi-physics modeling with physiologically relevant testing is essential for predicting implant service stability and accelerating clinical translation of high-performance biomedical Mg alloys.

The Chinese Journal of Process Engineering2026DOI: 10.12034/j.issn.1009-606X.225141

Effect of the Number of Clogged Bottom-Blowing Elements on the Flow Characteristics of Liquid Steel in Converter

This study established a three-dimensional transient gas-liquid two-phase flow model based on a 150-tonne converter to investigate the influence of the number of clogged bottom-blowing elements on the stirring efficiency of the molten pool. The numerical simulation results were validated against actual converter operating conditions. The findings revealed that the primary reason for deteriorated flow characteristics under multiple clogged tuyeres was the overall reduction in stirring energy input from the bottom-blowing gas. Specifically, when the number of clogged tuyeres reached three, the numerically simulated mixing time increased from 150.6 s to 219.3 s, a significant increase of 45.62%. This numerical result was in good agreement with water model experiments, indicating that prompt furnace bottom maintenance and tuyere replacement should be considered under such circumstances. At the same bottom-blowing intensity, the effective stirring area of a single inner-ring tuyere was 0.919 m2, while that of a single outer-ring tuyere was 1.651 m2. The combined effective area achieved through the synergy of inner and outer ring tuyeres was 2.940 m2, which was 14.4% greater than the sum of their individual areas. Clogging disrupted this synergistic stirring effect. A single clogged tuyere had a negligible impact on the distribution of dead zones. However, when tuyeres in both the inner and outer rings were clogged, dead zones became more numerous and concentrated. With 3 and 4 clogged tuyeres, the dead zone volume reached 3.703 and 5.946 m3, accounting for 17.31% and 27.79% of the total molten pool volume, respectively. An industrial plant trial conducted based on the numerical simulation scheme showed that key performance indicators deteriorated as the number of clogged tuyeres increased. With three clogged tuyeres, the average end-point oxygen content reached 0.0669wt%, which was 22.1% higher than that under non-clogged conditions. Concurrently, the total iron content in the slag reached 19.44%, a 24.5% increase compared to the non-clogged baseline.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4185-6

Rapid Reconstruction of Commercial Bulk Niobium Oxide for Highly Stable Electrochemical Uranium Extraction in the Presence of Fluorine

Electrochemical uranium extraction from fluorine-containing nuclear wastewater is critical for nuclear fuel recovery, yet current electrode materials suffer from limited scalability and insufficient long-term stability. Here, we report a bulk monoclinic Nb2O5−x (H-Nb2O5−x) derived from commercial bulk niobium oxide via rapid reconstruction, exhibiting exceptional activity and robustness for electrochemical uranium extraction in fluorine-rich environments. The intrinsic active pairs of low-valent Nb4+ and compact oxygen structure strongly bind with dominant uranyl fluoride species (UO2F+, UO2F2, UO2F3−, UO2F4^2−), facilitating efficient separation. In a 30 g L−1 fluoride solution, H-Nb2O5−x achieved a uranium extraction efficiency of 99.1%. Notably, in a 10-L real nuclear wastewater test, the bulk material maintained stable performance over 40 days, reducing uranium concentration from 1372.3 mg L−1 to 0.93 mg L−1. This work demonstrates a scalable, durable electrode material for industrial electrochemical uranium extraction, addressing the bottlenecks of complexation and stability in fluoride-containing waste streams.