SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3780-3
Real-time health monitoring and ongoing evaluation of physiological conditions are becoming increasingly vital for the advancement of future medical diagnostics and personalized healthcare solutions. Given that certain illnesses necessitate prompt and accessible detection methods, wearable chemical sensors have garnered considerable interest for their capability to monitor health through physiological signals and chemical indicators. This review delivers a thorough examination of recent developments in four primary categories of wearable chemical sensors: biosensors, humidity sensors, gas sensors, and ion sensors. We explore the representative materials, device structures, operating mechanisms, and various application scenarios for each type of sensor. By investigating the latest innovations in these technologies, we aim to provide a detailed overview of the current research landscape, highlight existing challenges, and present potential future directions of wearable chemical sensors in healthcare monitoring.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61116-X
A standardized dataset of linear sweep voltammetry (LSV) curves is presented for evaluating the oxygen reduction reaction (ORR) performance of carbon-supported catalysts in acidic media. All electrochemical tests were conducted in O2-saturated 0.5 mol L−1 H2SO4 at controlled rotation speeds using a rotating disk electrode. The dataset comprises 120 validated entries from both non-precious metal (MNC) and platinum-based (Pt-MC) catalysts, including original LSV curves and extracted performance parameters such as onset potential, half-wave potential, and limiting current densities at different rotation speeds. Data processing involved potential conversion to the reversible hydrogen electrode (RHE) scale, background subtraction, outlier removal, and reproducibility checks with defined quality control thresholds (relative standard deviation ≤2% for E1/2 and ≤5% for limiting current). The standardized collection serves as a reliable benchmark for catalyst performance comparison, supports kinetic and mass transport analysis, and provides a structured data source for machine learning applications in electrocatalysis. The dataset is openly available via Science Data Bank, with a DOI, and is intended as a dynamic resource for the ORR electrocatalysis community.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606018
Swine wastewater, a high-strength organic effluent, offers a viable substrate for anaerobic biohydrogen production, aligning with clean energy recovery. This study compared hydrogen production in three anaerobic sequencing batch reactors (ASBRs) treating: raw wastewater (R1), supernatant after MAP (magnesium ammonium phosphate) precipitation for nitrogen and phosphorus recovery (R2), and the same supernatant with anaerobic sludge heat-treated at 75°C for 0.5 h (R3). Without pH adjustment, hydrogen production in R1 remained below 0.50 mmol/(kg·d). At an influent COD of 1800 mg/L, R2 and R3 achieved hydrogen production rates of 48.17 and 71.44 mmol/(kg·d), respectively. At COD 2400 mg/L, methane concentrations in R1, R2, and R3 were 10.8%, 14.2%, and 9.1%, respectively, indicating MAP pretreatment enhanced both hydrogen and methane production. As COD increased, R1's methane concentration rose to 14.6%, while average COD removal efficiencies for R1, R2, and R3 were 78.9%, 70.8%, and 52.5%, respectively. Under pH adjustment, all reactors peaked at pH 4.0, with hydrogen production rates of 0.10, 7.74, and 8.83 mol/(kg·d) for R1, R2, and R3, respectively. These findings demonstrate that MAP pretreatment combined with sludge heat treatment significantly enhances biohydrogen production, offering a promising strategy for swine wastewater valorization.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202608015
Inter-basin water diversion projects can profoundly alter the water quality dynamics of receiving basins. Taking the Qincun Reservoir and its downstream reaches in the Huangze River Basin as a case study, this research quantitatively evaluates water-quality responses under multiple coordinated management measures. An integrated Environmental Fluid Dynamics Code-Soil and Water Assessment Tool (EFDC-SWAT) modeling framework was established, coupling a two-dimensional hydrodynamic-water-quality model for the reservoir with a hydrology-water-quality model for the downstream reaches. Seven management scenarios were designed to reflect various combinations of point- and non-point-source pollution control strategies. Simulations focused on spatiotemporal variations in key indicators—total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH3-N), and permanganate index (CODMn)—and assessed pollution-load reduction effectiveness. Comparative analysis using the comprehensive water quality identification index (CWQII) revealed that under Scenario 3 (highest pollution-control standards with lowest diversion volume), TN and TP concentrations in the reservoir decreased by 80% and 50%, respectively, achieving Class II water-quality standards. Downstream TN and TP levels declined by 36% and 33%, and the CWQII improved from 4.211 to 3.410. Land consolidation contributed 77% and 45% to TN and TP load reductions in the reservoir, respectively, while a 20% reduction in diversion volume was most effective in improving downstream TN (>50%). These results demonstrate that the coupled EFDC-SWAT model effectively elucidates mechanisms through which inter-basin water diversion influences water quality in supply areas. Moreover, synergistic point- and non-point-source controls exhibit a nonlinear enhancement effect on overall water-quality improvement.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3447-4
Intracellular drug partitioning dictated by chemical structure constrains therapeutic efficacy. Covalent organelle-targeting conjugates have enabled mitochondria (Mito) or endoplasmic reticulum (ER) delivery, yet simultaneous co-targeting with controlled parent-drug release remains unaddressed. We report a molecular delivery platform (DDY) that loads desloratadine (Des), an antihistamine with negligible anticancer activity, and responds to glutathione (GSH) to release Des selectively within Mito and ER of cancer cells. DDY exploits the elevated GSH in tumor cells to trigger ferroptosis while sparing normal breast cells. In 4T1 orthotopic breast tumor-bearing mice, DDY reduced pulmonary metastatic nodules to 2.4 versus 21 in controls and 6.6 for free Des, and suppressed distal liver metastasis. Immunohistochemistry revealed decreased SLC7A11 and GPX4, confirming ferroptosis involvement. DDY also inhibited tumor angiogenesis and induced Mito dysfunction. Body weights remained stable, indicating manageable metabolic toxicity. The platform converts an approved antihistamine into an effective chemotherapeutic via organelle-level redistribution, broadening the chemical space for drug repurposing.