SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4245-4
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 Materials•2026•DOI: 10.1007/s40843-026-4317-4
This correction addresses an image assembly error identified in Fig. 7a of the original article published in Science China Materials, volume 66, issue 6, 2023, pages 2513–2522. The error was confined to the assembly of images in Fig. 7a, which presents H&E staining analysis of major organs from a toxicity study. The corrected version of Fig. 7 is provided in this corrigendum. The original study evaluated the toxicity of lyophilized cabazitaxel (CTX) and Tween 80-based CTX formulations in CD-1 mice following a single intravenous administration of 30 mg kg−1 CTX via the tail vein on day 0, with sacrifice on day 14 for analysis (n=5). The figure includes H&E staining of major organs, complete blood count (CBC) analysis with statistical significance indicated by *p < 0.05, and mouse weight measurements. The correction does not affect the overall results, data interpretation, or scientific conclusions of the original article. All authors have reviewed and approved the content of this corrigendum. The authors sincerely apologize for any inconvenience caused to the editorial office, reviewers, and readers. The article was received on 6 May 2026, accepted on 4 June 2026, and published online on 31 July 2026.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202512052
Constructed wetlands (CWs) with conventional substrates often exhibit limited removal of nitrogen and antibiotics from secondary effluent. This study developed an iron-carbon-manganese ore (Fe-C-Mn) composite substrate CW to enhance simultaneous removal of nitrogen and tetracycline (TC). Under influent TC of 2 mg·L−1 and total nitrogen (TN) of 15 mg·L−1, the Fe-C-Mn system achieved average TC removal of 91.3%, significantly higher than the gravel control (27.2%). TN and nitrate nitrogen (NO3−-N) removals reached 71.7% and 83.3%, respectively, versus 7.8% and 1.2% in the control. Substrate analysis revealed increased surface roughness and synergistic generation of active components (Fe(II)/Fe(III) and Mn(II)), driving autotrophic denitrification and TC biodegradation/chemical degradation. Microbial community analysis indicated reduced overall diversity but selective enrichment of potential TC degraders (e.g., Trichosporon, Bacillota) and denitrifiers (e.g., unclassified_f_Rhodocyclaceae). TC degradation pathways included demethylation, hydroxylation, and ring-opening, ultimately yielding small metabolites. These findings provide theoretical and technical support for enhanced removal of antibiotics and nitrogen from secondary effluent using CWs.