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DALTON TRANSACTIONS · 2026 · IF 3.3

An electrocatalyst prepared via a metal–polyphenol assembly strategy for efficient nitrate reduction

Jing Jiang,Xiaoli Jiang,Lin Zhao,Yagang Zhang

The electrocatalytic nitrate reduction reaction (NO3RR) is promising for achieving the dual goals of sustainable ammonia production and wastewater remediation. Nevertheless, the highly selective ammonia (NH3) synthesis remains a formidable challenge, primarily attributed to the complex reaction pathway, instability of metal-based catalysts, and the competitive hydrogen evolution reaction (HER). Herein, we propose a novel electrocatalyst (TA–Fe/Co3O4) prepared via a metal–polyphenol assembly strategy integrating natural plant polyphenol (tannic acid, TA) and iron (Fe) molecular assembly. Active components are anchored and stably dispersed on TA, while Fe incorporation is conducive to accelerating reaction kinetics, synergistically enhancing the electrocatalytic efficiency of spinel Co3O4. The catalyst delivers a faradaic efficiency (FE) of up to 94.36% at −0.2 V vs. RHE and an exceptional NH3 yield rate of 206.50 μmol h−1 cm−2 (−0.5 V vs. RHE). This work presents a facile and economical route for designing efficient transition metal oxide catalysts for the reduction of nitrate to NH3.

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ACS Photonics · 2026 · IF 6

Synergistic Effect of PC71BM and F4TCNQ as Multifunctional Passivation Layer for High-Efficiency Perovskite Solar Cells with Superior Stability

Qingshui Zheng,Zeyuan Zhao,Zhihang Jin,Yu Zou,Anling Tong,Pengxu Chen,Ruowei He,Yang Wang,Weihai Sun,Chaoping Fu,Jihuai Wu,Sheng Yang

The migration of iodide ions and the inefficient interfacial charge transport continue to pose significant challenges to power conversion efficiency (PCE) and stability of perovskite solar cells (PSCs). In this study, we innovatively introduce a multifunctional passivation method that involves doping the P-type material 2,3,5,6-Tetrafluoro-7,7,8,8-tetracyanoquinodimethane (F4TCNQ) into the fullerene derivative (6,6)-Phenyl C71-butyric acid methyl ester (PC71BM). The introduction of F4TCNQ not only enhances the ability of PC71BM to passivate uncoordinated Pb2+ ions but also promotes a uniform distribution of the passivation layer. Results indicate that this passivation layer effectively immobilizes iodide ions, preventing their random movement within the PVK films and reducing iodine-related defects. Additionally, by raising the Fermi level and enhancing the P-type characteristics, it improves hole extraction and transport, thereby reducing nonradiative recombination in the target device. Consequently, the n-i-p PSCs with the mixed passivation layer achieved a champion PCE of 25.87%, with a higher open-circuit voltage (1.182 V) and a remarkable fill factor (84.64%). Notably, in large-scale manufacturing, n-i-p mini-modules reached a commendable PCE of 22.34%. Furthermore, these devices demonstrated superior stability, maintaining over 95% of their initial efficiency after 900 h of maximum power point (MPP) tracking under ISOS-L-1 standards.

CAS / MDL: 57-13-6
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ACS Sensors · 2026 · IF 10.9

Biomimetic Electrochemical Chip Integrated with Closed-Loop AI for Dynamic Dopamine Decoding and Neuromodulation

Xinran Li,Xiao Wu,Qiyan Wang,Yunhe Zhu,Liyuan Zhang,Yifan Song,Benkun Lv,Jiyu Chen,Wu Fan,Guobi Chai,Qidong Zhang,Ronghan Wei,Wei Ma

Bioelectronic systems integrated with artificial intelligence (AI) are transforming neurochemical diagnostics, enabling intelligent, real-time decoding of brain chemistry. Here, we present an AI-driven biomimetic electrochemical chip with intestine-inspired wrinkled MoS2 electrodes, enabling dynamic in vivo dopamine monitoring and neuromodulation. This wrinkled structural design promotes efficient molecular capture and alleviates laminar flow limitations, achieving a 23-fold enhancement in dopamine sensitivity over planar electrodes, with detection limits as low as 37 nM in 4.1 μL of biofluid. Moreover, coupled with an AI-assisted decision module, the platform translates neurochemical fluctuations into adaptive modulation, enabling real-time closed-loop neuromodulation. In vivo studies in rats demonstrate autonomous regulation of endogenous dopamine transients, directly linking electrode architecture to functional neural outcomes. This work highlights how bioinspired electrode design, integrated with intelligent signal interpretation, establishes a scalable pathway toward next-generation neurodiagnostics and adaptive bioelectronic interfaces.

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JOURNAL OF CHEMICAL AND ENGINEERING DATA · 2026 · IF 2.4

Experimental Thermophysical Properties and Temperature Dependence of Four Non-Ionic Deep Eutectic Solvents

Jingwen Wang,Fanjing Wei,Qingqing Zhang,Shaofu Li,Lijie Guan,Hao Qin,Zhiwen Qi

Deep eutectic solvents (DESs) have emerged as promising alternatives to conventional solvents due to their tunable properties and potential environmental benefits. While most studies focus on ionic DESs, nonionic DESs remain less explored. In this work, four nonionic deep eutectic solvents (DESs) are prepared using diethylene glycol dimethyl ether or isoquinoline as hydrogen-bond acceptors (HBA) and cyclohexanecarboxylic acid, nonanoic acid, or 1-naphthylamine as hydrogen-bond donors (HBD) at specific molar ratios. Their fundamental thermophysical properties, including density, viscosity, surface tension, electrical conductivity, and melting point, are systematically measured over the temperature range of 303.15–343.15 K. The temperature dependence of all measured properties is quantitatively analyzed using appropriate empirical or Arrhenius-type correlations. The results provide insights into the influence of molecular composition on nonionic DES behavior, expanding the experimental database and highlighting their potential as low-viscosity, tunable, and versatile solvents for chemical engineering applications.

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ACS Nano · 2026 · IF 17.3

Ultrathin Oleanolic Acid/Perfluorocarbon-Ferrocene Nanosheets Trigger Reactive Species Storm to Reshape Tumor Microenvironment for Enhanced Chemodynamic Therapy

Ya Wang,Yuan Wang,Yan Sun,Xianbin Sun,Yuanming Li,Haijun Chen,Yu Gao

Ferrocene derivatives possess a typical “sandwich” structure that facilitates the formation of two-dimensional nanosheets (2D NSs), while their ferrous ions can effectively mediate chemodynamic therapy (CDT). However, conventional bottom-up synthesis methods for nanosheets often involve complex processes and stringent preparation conditions, limiting their therapeutic applications. In this study, we developed a simple yet efficient premix-dropwise-stir synthetic strategy to fabricate ultrathin oleanolic acid/perfluorocarbon-ferrocene (O/F-Fc) 2D NSs with considerable antitumor properties. The incorporation of oleanolic acid (OA) effectively inhibited F-Fc self-aggregation and facilitated the formation of ultrathin nanosheets (∼1.5 nm), while simultaneously enhancing the CDT efficacy of F-Fc through synergistic effects. Comprehensive in vitro and in vivo studies demonstrated that these carrier-free 2D NSs possess multifunctional capabilities, including oxygen self-supply to alleviate tumor hypoxia, generation of multiple reactive oxygen/nitrogen species to amplify oxidative stress and enhance CDT, antifibrotic activity, promotion of macrophage M1 polarization to activate immune responses, and enhanced deep tumor penetration, collectively enabling effective tumor microenvironment (TME) remodeling. This study not only presents an approach for preparing ultrathin ferrocene-based carrier-free 2D NSs, but also offers mechanistic insights into developing carrier-free organic 2D nanosystems for synergistic TME remodeling and enhanced CDT efficacy in cancer therapy.

✓ 已验证 产品关联 DOI PubMed 高影响因子
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ANALYTICA CHIMICA ACTA · 2026 · IF 6.1

Dual-layer N-glycoproteomics enhances resolution of serum glycosylation signatures in type 2 diabetes mellitus complicated with coronary heart disease

He Zhang,Jueping Chen,Yuxuan Chen,Zi Yang,Qian Yang,Bengui Ye,Dapeng Li,Wei Gan

Protein glycosylation presents profound analytical challenges due to its structural heterogeneity, yet robust workflows capable of resolving glycosite- and glycan-level information within complex clinical cohorts remain limited. To address this gap, we developed an integrated dual-layer N-glycoproteomic strategy that combines high-coverage site-specific N-glycosylation profiling with intact N-glycopeptide analysis to preserve glycan features. Type 2 diabetes mellitus complicated with coronary heart disease (T2DM&CHD) represents a severe yet understudied comorbidity, and the scarcity of well-characterized patient cohorts underscores the analytical value of our uniquely curated dataset. Applying this strategy to serum samples from healthy controls (n = 43), T2DM (n = 39), CHD (n = 37), and T2DM&CHD (n = 46) generated 497 N-glycosites from 781 site-specific N-glycopeptides and 133 N-glycosites from 341 intact N-glycopeptides, demonstrating the complementary breadth and depth attained by integrating the two layers. The integrated analysis revealed extensive glycoproteome remodeling in T2DM&CHD, characterized by increased microheterogeneity driven by altered sialylation and fucosylation. Site-specific changes in apolipoprotein B, particularly at N185, N1523, N2239, and N3411, showed stage-dependent patterns associated with lipid dysregulation and vascular injury. Functional enrichment indicated that T2DM amplifies inflammation-related glycosylation disturbances that predispose to cardiovascular complications. Correlation with glycosyltransferase expression further underscored the regulatory relevance of glycan biosynthesis. Together, our results develop an extendable analytical framework for comprehensive serum glycoproteome characterization and provide a mechanistic resource for biomarker discovery in metabolic-cardiovascular comorbidity.

CAS / MDL: 1066-33-7 57-13-6
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JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS · 2026 · IF 6.7

Integrating TG–FTIR analysis and predictive modeling to elucidate phenolic enrichment in biomass pyrolysis over transition-metal/g-C3N4 catalysts

Yuhang Li,Haifeng Jiang,Jiahao Qi,Junyu Chen,Wenpeng Hong

This study investigated the catalytic pyrolysis of pine sawdust over transition-metal-modified g-C 3 N 4 catalysts (Ni/g-C 3 N 4 , Zn/g-C 3 N 4 , and Co/g-C 3 N 4 ) to enhance phenolic selectivity and elucidate metal–support synergistic effects. Among these catalysts, Co/g-C 3 N 4 exhibited the best performance in enhancing the relative content of phenolic compounds. Compared with non-catalytic pyrolysis at 550 ℃, the phenolic content increased by 24.66%. In addition, the results indicated that a CO 2 atmosphere negatively affected phenolic formation. The temperature-programmed TG-FTIR and evolved-gas analyses revealed that the presence of the Co/g-C 3 N 4 catalyst could promote the formation of CO and limit the generation of CH 4 and C 2 -C 3 hydrocarbons during the catalytic pyrolysis process. The related mechanism analysis showed that the interaction between Co 2 + /Co 3+ species on g-C 3 N 4 and Lewis-basic N sites enabled an interfacial synergistic effect for the selective formation of catechol and methyl-catechol. Furthermore, the exploratory multi-output regression analysis further verified that catalyst type primarily governed phenolic enrichment, whereas temperature mainly influenced syngas formation. Overall, this study provides a deeper understanding of the reaction pathways for the selective generation of phenolic compounds in biomass catalytic pyrolysis, and offers a practical approach for the integration of experimental analysis and data-driven methods.

CAS / MDL: 57-13-6
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PROCESS SAFETY AND ENVIRONMENTAL PROTECTION · 2026 · IF 7.9

Hydrodynamic Regulation of MICP-Treated Coal Dust: Trade-offs between Surface Erosion Resistance and Structural Homogeneity

Di Zhang,Yanyun Zhao,Xiangming Hu,Yue Feng,Jindi Liu,Xiaoniu Yu,Ningjun Jiang

Achieving structural homogeneity remains a key bottleneck for microbially induced carbonate precipitation (MICP) in coal-dust suppression. This study systematically investigates how injection rate and delivered reagent volume regulate MICP performance to balance wind- and rain-erosion resistance. Quantitative analysis reveals a clear trade-off arising from the interplay between fluid transport and reaction kinetics. High-rate injection triggers metastable, vaterite-rich surface clogging, reducing the wind-erosion ratio ( η wind ) to 4.2% while inducing pronounced vertical stratification. Conversely, low-rate injection promotes capillary-dominated, stable calcite bridging, thereby enhancing deep consolidation and reducing the rain-erosion ratio ( η rain ) to 8.4%. To mitigate bioclogging, we propose a graded mineralization strategy that integrates low-rate skeletal construction with high-rate surface armoring. The sequential protocol achieved a low η wind (≈ 4.0%) and reduced η rain to ≈ 9.1% compared with the high-rate case, indicating improved overall resilience under combined aeolian and rainfall stresses. The resulting functionally graded crusts offer a mechanistically grounded approach for dust suppression in complex mining environments.

CAS / MDL: 57-13-6
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ELECTROCHIMICA ACTA · 2026 · IF 5.8

Electrochemical Sensing of Organophosphorus Pesticides Based on Plant Esterase-Triggered Silver Deposition with CuNi-DAC Signal Amplification

Longying Zhao,Jiayu Chen,Donglin Xiang,Mierban Dawuti,Laping He,Yuangen Wu,Han Tao

Residual organophosphorus pesticides (OPs) in food pose a severe threat to public health, necessitating simple and sensitive on-site analytical methods. In this study, a signal-off electrochemical sensing platform for OPs was constructed based on the OP-induced inhibition of silver deposition triggered by red kidney bean esterase (RKBE), coupled with the signal amplification of a CuNi dual-atom catalyst (CuNi-DAC). RKBE catalyzes the hydrolysis of α-naphthyl acetate to produce α-naphthol, which reduces Ag⁺ to Ag 0 deposited on the electrode. The electroactive Ag 0 undergoes oxidation to generate a prominent oxidation current, providing a sensitive sensing signal for detection. CuNi-DAC modification of the electrode accelerates charge transfer, provides more active sites, and effectively amplifies the sensing signal. Upon exposure to OPs, the activity of RKBE is inhibited, thereby suppressing the production of α-naphthol. This leads to a diminished Ag 0 generation and subsequent a weakened oxidation current. The decrease degree of current signal shows a positive correlation with pesticide concentration. Under optimized conditions, the fabricated sensing platform exhibits a good linear response range of 10 pmol/L-1000 pmol/L for fenthion with a low detection limit of 5.4 pmol/L. Spiked recoveries in cabbage and apple samples ranged from 93.3% to 108.5%, validating the sensing platform's practicality and reliability. This work offers a facile and cost-effective electrochemical sensing approach for on-site screening of OPs.

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Journal of Materials Chemistry A · 2026 · IF 9.5

Architecting an ‘electron highway’: cobalt-doped tubular carbon nitride for superior photocatalytic PMS activation

Jiani Qin,Minna Duan,Jianping Zhang,Wen Chen,Tingjiang Yan,Chuanyi Wang,Bao Pan

The persistent presence of tetracycline (TC) in aquatic environments demands advanced oxidation processes capable of efficiently degrading this micropollutant. Although peroxymonosulfate (PMS)-based catalysis shows promise in this regard, its practical efficiency is limited by sluggish activation kinetics and rapid charge recombination, necessitating the development of high-performance catalysts. Herein, we present a strategically engineered cobalt-doped tubular carbon nitride (Co-TCN) that integrates morphological control with atomic-level doping to achieve enhanced photocatalytic PMS activation. The unique tubular architecture of TCN improves light harvesting and facilitates mass transfer, while atomically dispersed cobalt species, confirmed by XAS and XPS, act as efficient electron traps and active sites for PMS activation. This synergistic design yields a catalyst with an increased specific surface area, significantly suppressed charge recombination, and accelerated electron transfer. Under visible light, the optimized 1.1%Co-TCN/PMS system achieved a TC degradation rate constant of 15.87 × 10−2 (mg L−1)−1·min−1, which was 15.6-fold higher than that of PMS alone and demonstrates remarkable performance across various antibiotics. Mechanistic investigations reveal a catalytic cycle involving Co2+/Co3+ redox pairs, generating both radical species (SO4˙−, ˙OH, ˙O2−) and non-radical species (1O2). Furthermore, toxicity assessment confirmed the effective detoxification of TC during the degradation process. This work establishes a novel strategy for designing cost-effective, non-precious-metal–based photocatalysts through concurrent structural and electronic modulation, offering a promising approach for sustainable water treatment.

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MEASUREMENT · 2026 · IF 6.1

Fiber-optic SPR cholesterol sensor based on Au film- AuNPs coupling enhancement

Yi Li,Shunye Huang,Jianyang Zhang,Rongqi Zhang,Feng Xia,Xuqiang Wu,Like Li,Yong Zhao

Cholesterol is a vital biomolecule in the human body. Abnormal blood cholesterol levels may increase the risk of cardiovascular disease and Alzheimer’s disease. Therefore, there is an urgent need to develop a highly sensitive and rapid method of detecting cholesterol concentration in clinical settings. To meet this demand, we developed a reflective fiber-optic cholesterol sensor based on multimode and single-mode fibers (MMF-SMF). The probe uses AuNPs, synthesised using the sodium citrate reduction method, as a sensitising material, and cholesterol oxidase serves as the sensing membrane. This reflective optical fiber surface plasmon resonance (SPR) biosensor enables the detection of cholesterol concentration with high sensitivity. Experimental results demonstrated that Au film- AuNPs coupling enhances the refractive index sensitivity by 41.3 % to 2243.9 nm/RIU. Cholesterol detection sensitivity increases by 16.02 % to 0.210 nm/nM, and the linear detection range expands from 0–50 nM to 0–70 nM and the detection limit decreases to 4.586 nM. The sensor also exhibits excellent selectivity and stability, and can be used for the detection of cholesterol concentration in real serum samples, offering an efficient solution for developing portable biosensors.

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Journal of Water Process Engineering · 2026 · IF 6.6

A novel composite flocculant of cationic etherified starch and microbially induced calcium carbonate precipitation for kaolin suspension: Optimization, performance, and mechanism

Yingying Shi,Shuquan Peng,Ling Fan,Xinyue Liu,Yilin Qi

This study aims to develop an efficient and environmentally friendly flocculation system. The approach involved coupling biodegradable cationic etherified starch (CES) with microbially induced calcium carbonate precipitation (MICP), thereby establishing a novel CES-MICP composite system. The flocculation performance of CES and MICP was investigated in single and composite systems. Response surface methodology (RSM) was employed to optimize the composite system by varying CES dosage, MICP dosage, and initial pH. The optimal conditions were identified at the CES dosage of 2.4 mg/g, the MICP dosage of 16.2 mg/g, and an initial pH of 5.1. Under these conditions, the composite system achieved the 30 min settling ratio of 40.3% and the turbidity percentage removal of 98.13%. Compared to individual CES and MICP systems, the MICP dosage was reduced by 35.2%, while the settling ratio and turbidity percentage removal showed significant improvement. Mechanistic analysis indicates that the composite system achieves efficient flocculation and rapid sedimentation through a synergistic mechanism involving charge neutralization, adsorption bridging, sweep flocculation, and crystal-nuclei ballasting.

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