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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY · 2024 · IF 8.1

Ultrathin PdMo bimetallene immobilized on graphene nanosheets as an efficient bifunctional electrocatalyst towards formic acid and methanol oxidation reactions

Cuizhen Yang,Tianyi Wang,Tingyao Wang,Haiyan He,Dongming Liu,Huajie Huang

The rapid development of direct formic acid fuel cell (DFAFC) and direct methanol fuel cell (DMFC) technologies urgently needs to explore efficient and multifunctional electrocatalysts with acceptable costs. In this work, we introduce a convenient soft-chemistry method for the bottom-up synthesis of two-dimensional (2D) ultrathin PdMo bimetallene in situ immobilized on reduced graphene oxide nanosheets (PdMo/RGO) by a robust stereoassembly procedure. The as-derived PdMo/RGO nanoarchitecture possesses a range of unique structural advantages tailored for anodic fuel cell systems , such as numerous exposed Pd atoms, bimetallic alloy and strain effects, stable 2D/2D heterointerfaces, and good electrical conductivity . As a result, the PdMo/RGO nanoarchitecture exhibits a large electrochemically active surface areas of 122.2 m 2  g −1 , a high mass activity of 994.8 mA mg −1 , as well as reliable long-term durability towards the formic acid oxidation reaction. Meanwhile, the PdMo/RGO electrocatalyst also displays exceptional electrocatalytic methanol oxidation performance with a mass activity of 1605.3 mA mg −1 in alkaline medium, which significantly surpasses that of conventional Pd nanoparticle catalysts loaded on reduced graphene oxide , carbon nanotube , and carbon black matrices.

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH · 2024 ·Vol. 31 ·期 32 ·44759-44769 · IF 0

Fabrication of versatile Fe3O4/GO/Au composite nanomaterial as SERS-active substrate for detection of pesticide residue

Wu Rui,Song Xi,Tian Guanghui

Highly active Fe 3 O 4 /GO/Au composite nanomaterial was fabricated as a substrate of surface-enhanced Raman spectroscopy (SERS) and applied for pesticide residue detection. The three-layer multifunctional Fe 3 O 4 /GO/Au nanoparticles (NPs) were designed by facile method, with high hotspots, and were characterized by various techniques, including ultraviolet spectrophotometry (UV), X-ray diffraction (XRD), infrared absorption spectrometer (IR), and transmission electron microscopy (TEM). The performance of Fe 3 O 4 /GO/Au was evaluated by Raman spectroscopy with R6G as a probe molecule to verify its enhancement effect. It exhibited a strong Raman signal with 10 −6  M of R6G. Furthermore, the presence of Fe 3 O 4 /GO/Au nanohybrid enabled the SERS-based method to detect mancozeb and showed an excellent linear relationship in the range of 0.25–25 ppm, with a low limit of detection (0.077 ppm), satisfactory EF, stability, and repeatability. In addition, the mechanism of SERS enhancement with electromagnetic mechanism (EM) and chemical mechanism (CM) was discussed in detail. Therefore, the proposed SERS approach holds promise as an auxiliary technique for screening contaminated agricultural products, environmental sample, and food in the future.

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FULLERENES NANOTUBES AND CARBON NANOSTRUCTURES · 2025 · IF 1.8

Modification of LiMn0.6Fe0.4PO4 by SWNTs and amorphous carbon for high-performance lithium-ion batteries

Hai-Wen Tang,Jin-Jin Jiang,Liu-Si Yu,Hong-Lin Yu,Yun-Qian Zhong,Li-Mei Yu,Su-Jun Wang,Huan Zhang

This study presents a dual-carbon modified LiMn0.6Fe0.4PO4 cathode (LMFP/SWNT/C) through the combined integration of amorphous carbon and single-walled carbon nanotubes (SWNTs). The composite was synthesized via a solvothermal approach followed by carbonization, forming a homogeneous conductive network with enhanced graphitization (IG/ID ratio = 3.24–4.24 versus 0.98–0.99 for LMFP/C). Electrochemical characterization revealed superior performance, including a high discharge capacity of 160.8 mAh g−1 at 0.1C and excellent cycling stability (124.9 mAh g−1 with 92.6% capacity retention after 280 cycles at 1C). In-situ electrochemical impedance spectroscopy (EIS) coupled with distribution of relaxation times (DRT) analysis indicated that the addition of SWNTs could improve the electronic conductivity. These results demonstrate the effectiveness of hybrid carbon architectures for optimizing LMFP cathode materials.

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Acta Biomaterialia · 2024 · IF 9.4

NIR-activated Janus nanomotors with promoted tumor permeability for synergistic photo-immunotherapy

Yingying Zhang,Yujuan Xing,Hong Zhou,Enhui Ma,Wenbei Xu,Xinran Zhang,Canran Jiang,Shuo Ye,Yanjia Deng,Hong Wang,Jingjing Li,Shaohui Zheng

Nanoparticle-based photo-immunotherapy has become an attractive strategy to eliminate tumors and activate host immune responses. However, the therapeutic efficacy is heavily restricted by low tumoral penetration and immunosuppressive tumor microenvironment (TME). Herein, near infrared laser (NIR)-propelled Janus nanomotors were presented for deep tumoral penetration, photothermal tumor ablation and photothermal-triggered augmented immunotherapy. The Janus nanomotors (AuNR/PMO@CPG) were constructed with gold nanorods (AuNR) and periodic mesoporous organo-silica nanospheres (PMO), followed by loading of immune adjuvant (CPG ODNs). Under NIR irradiation, the nanomotors exhibited superior photothermal effect, which produced active motion with a speed of 19.3 µm/s for deep tumor penetration and accumulation in vivo . Moreover, the good photothermal heating also benefited effective photothermal ablation to trigger immunogenic cell death (ICD). Subsequently, the ICD effect promoted the release of tumor-associated antigens (TAAs) and damage associated molecular patterns (DAMPs), and further generated abundant tumor vaccines in situ for reprograming the immunosuppressive TME in combination with CPG ODNs to inhibit tumor growth. As a result, a notable in vivo synergistic therapeutic effect was realized on CT26-bearing mice by combining photothermal therapy-induced ICD with modulation of immunosuppressive TME. Thus, we believe that the synthesized nanomotors can provide a new inspect to boost photothermal therapy-induced ICD in tumor immunotherapy. Statement of Significance Nanoparticle-based synergistic photo-immunotherapy has become a popular strategy to eliminate tumors and activate host immune responses. However, the therapeutic efficacy is heavily restricted by low tumoral penetration and immunosuppressive tumor microenvironment (TME). In this work, near infrared laser (NIR)-propelled Janus nanomotors were presented for deep tumoral penetration, photothermal tumor ablation and photothermal-triggered augmented immunotherapy. Under NIR irradiation, the nanomotors exhibited a superior photothermal effect, which produced active motion for deep tumor penetration and accumulation in vivo . Moreover, good photothermal heating also facilitated effective photothermal ablation to trigger immunogenic cell death (ICD), which promoted the release of tumor-associated antigens and damage-associated molecular patterns (DAMPs), and further generated abundant tumor vaccines in situ for reprograming the immunosuppressive TME to inhibit tumor growth.

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Sustainable Materials and Technologies · 2026 · IF 9.7

Sustainable and flexible 3D piezoresistive pressure sensor derived from natural coconut-kapok composite fibers

Yakun Wang,Die Dong,Tianxiang Wu,Xuejun Lai,Xingrong Zeng,Hongqiang Li

Conventional flexible pressure sensors generally suffer from the trade-off between high sensitivity and broad detection range, non-degradable petroleum-based polymer substrates as well as complex and high-cost manufacturing processes. Herein, a flexible three-dimensional (3D) piezoresistive pressure sensor was developed with cheap natural thick coconut fibers and thin kapok fibers as skeleton substrate anchored by crosslinked carboxymethyl chitosan and reduced graphene oxide as conductive substance. Thanks to the rational combination of the two natural fibers with different diameters, the sensor achieved a high sensitivity up to 7.78 kPa −1 , a wide pressure detection range of 0–151.0 kPa and exceptional sensing stability over 10,000 loading-unloading cycles. Benefiting from the all-natural fiber substrate and dynamic crosslinked network formed by imine bonds, the sensor was completely degraded in soil under natural conditions within 90 days, exhibiting remarkable environmental friendliness. Additionally, the sensor was successfully applied for accurately monitoring not only large joint motions but also subtle human physiological signals such as swallowing, vocal cord vibration and pulse beating. The preparation method in this work is facile and low-cost, and the as-prepared sensor exhibits excellent sensing performances and biodegradability, which will greatly boost the sustainable development and practical application of flexible electronics.

CAS / MDL: 111-30-8 50-81-7
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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY · 2026 · IF 9.2

P(3MT-co-F)/modified g-C3N4 Z-scheme heterojunction with improved planarity and charge separation for enhanced visible-light photocatalytic H2 production

Qingsong Liu,Yan Zhu,Wentao Li,Junci Wu,Yi Zhang,Shouchun Ma,Chuanli Qin

Modified graphitic carbon nitride (MCN) was synthesized via calcinating β-alanine introduced melamine supramolecular precursors and poly(3-methylthiophene-co-fluorene) (P(3MT-co-F)) with improved planarity was prepared by polymerization of 3-methylthiophene (3MT) and fluorene (F) monomers. P(3MT-co-F)/MCN heterojunction was constructed by electrostatic self-assembly and the optimal 3P(3MT 1 -co-F 1 )/MCN exhibits excellent H 2 production performance of 11108 μmol h −1  g −1 under visible light, 150 times higher than MCN. The enhancement is attributed to the following aspects: First, F monomer as a rigid unit can regulate the main-chain torsion of P(3MT-co-F), enhancing planarity and facilitating intramolecular charge transport within copolymer. Second, N⋯S interactions and π-π stacking interactions at heterojunction interface improve the charge transfer and separation. Third, the incorporation of P(3MT-co-F) with narrow band gap into MCN not only broadens visible light absorption range and enhances visible light response, but also forms a Z-scheme heterojunction with MCN, further enhancing the charge separation and retaining the electrons with strong reducibility.

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CHEMICAL ENGINEERING JOURNAL · 2026 · IF 12.5

Deep learning-assisted chemiresistive sensor arrays for postharvest maturity identification via fruit-emitted mixed gas monitoring

Lichong Yang,Jingwen Dong,Hongyu Li,Jiayi Li,Long Li,Di Wu,Pingwei Liu,Xuequn Shi,Xiaojing Chen,Kunsong Chen

Target gas selection was based on the GC–MS test of mango fruit during storage. • A 4-sensor array consisted of Pd-SnO 2 exhibited good performance for target gases. • The TabPFN model was used for mixed gas detection based on the sensor array. • The sensing mechanism was explained by characterization and DFT calculations. • Mango maturity identification was achieved by the sensor-algorithm integrated system. Plants maintain continuous gaseous exchange with their surroundings, and the volatile organic compounds (VOCs) they emit can act as indicators of plant physiological status. As an important plant organ, fruit maintains active physiological metabolism, including during the postharvest stage. Therefore, the detection of volatile compounds in postharvest fruits can be used to evaluate the quality and monitor their spoilage during storage and transportation. However, current gas detection instruments are mostly benchtop devices that are bulky and costly, making them unsuitable for practical industrial applications. Thus, developing gas-based rapid maturation assessment technologies for fruits is growing increasingly essential. In this study, we developed an intelligent monitoring system for fruit ripening process monitoring, with mangoes chosen as the research subject. Specifically, ethylene, ethanol, ethyl acetate and dipentene were identified as four target gases based on the detection results of VOCs released by mangoes during storage via solid-phase microextraction combined with gas chromatography–mass spectrometry. To detect these signals, a 4-sensor array was constructed using SnO 2 nanospheres functionalized with palladium nanoparticles, leveraging resistance variations to capture the dynamics of gases. Density functional theory calculations and comprehensive characterization were employed to elucidate the sensing mechanism. The Tabular Prior-data Fitted Network, a Transformer-based deep learning model, was used to analyze four target gases and their multicomponent mixtures. This method achieved high-precision classification (94.8%) for the gases and their mixtures, as well as accurate concentration regression (R 2  = 0.839) for the target components. Finally, the system was integrated into a portable platform, enabling the on-site identification of mango maturity across different storage durations. This work establishes a robust framework for sensor design and intelligent fruit quality monitoring. Download: Download high-res image (194KB) Download: Download full-size image

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Nature Communications · 2026 · IF 18.1

An intelligent electronic-textile system with adaptive sweat-regulation for continuous exercise-induced fatigue monitoring

Wu Jing,Yang Jingying,Liu Qisijing,Zhang Pixian,Zheng Bowen,Liu Linyuan,An Tingtao,Wang Hao,Xu Fupei,Shen Yudi,Wang Shuo

Characterizing exercise-induced fatigue is challenging due to difficulties in monitoring biochemical and electrophysiological signals consistently. While wearable sensors able to monitor both signals are available, they struggle to maintain stable signal acquisition across exercise-rest scenarios because of significant sweat variation. Here we describe the development of a system, FatigueVisual, combining an adaptive sweat-regulating hybrid electronic textile (e-ASRHT) patch with artificial intelligence (AI) analytics to improve fatigue management. The key innovation lies in the precise regulation of the breakthrough pressure of micropores in fabric electrodes and sweat-excreting areas, allowing for accurate sweat management. This design enables efficient enrichment at an ultralow sweat rate (5.0×10 −4  ml cm −2 min −1 ) while rapidly transporting excess sweat at a rate 2533 times the human physiological limit, ensuring stable chemical-electrophysiological sensing from exercise to rest. A cloud-connected AI model, trained on over 200,000 time-resolved observations collected from 10 participants, recognizes six fatigue-related states and provides personalized exercise management via a mobile app. Validation in three participants showed 87.3% agreement with clinical assessments. The system reduced exercise fatigue by 51.8% and accelerated recovery by 48 h compared with the control group. In practice, FatigueVisual may enable intelligent sports health management.

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TALANTA · 2026 · IF 6.7

Rapid and specific detection of influenza virus antigens via surface-enhanced Raman scattering-based immunoassay

Ximing Zeng,Shaohua He,Hua Nian,Ming Zong,Duo Lin

Influenza is currently one of the most prevalent respiratory diseases in humans, with outbreaks typically occurring during the winter months. Its impact is particularly pronounced among vulnerable populations, such as the elderly, infants, and individuals with chronic illnesses. Common methods including reverse transcription polymerase chain reaction (RT-PCR), rapid influenza diagnostic tests (RIDTs), and direct fluorescent antibody (DFA) assays for detecting influenza viruses have their own limitations and struggle to meet the point-of-care testing (POCT) demands during influenza pandemics. In this study, a surface-enhanced Raman spectroscopy (SERS) sensor chip based on the immunosandwich principle was developed for the rapid detection of influenza A and B viruses. Using a portable Raman spectrometer, viral antigen detection can be completed within 20 min, with a detection limit as low as 0.69 ng/mL. This provides a new approach for the rapid screening and dynamic monitoring of influenza viruses.

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ENVIRONMENTAL SCIENCE & TECHNOLOGY · 2026 ·Vol. 60 ·期 28 ·20085-20095 · IF 12.2

Electrochemical Generation of Nonradical Hydrotrioxide for Sustainable Water Purification

Zu Daoyuan,Liu Jianbo,Zhou Yang,Li Xianhui,Wang Xueye,Yang Kui,Kong Xiangtong,Ma Jinxing,Yu Han-Qing,Yang Zhifeng

Sustainable water purification demands oxidation processes that are both highly efficient and chemically self-sufficient. Electrochemical advanced oxidation is inherently green, yet the reactivity of hydroxyl radicals (*OH) is typically confined to the electrode interface, limiting overall treatment efficiency. Here we report the discovery of a putative nonradical hydrotrioxide species, – O 3 SOOOH, generated in situ by coupling surface-bound *OH with asymmetric peroxides ( − O 3 SOOH) on commercial Pt electrodes. This mediator relays oxidative equivalents from the anode into the bulk solution without reagent consumption, increasing pollutant-degradation rates by 231–856%. Operando spectroscopy, isotope tracing, differential electrochemical mass spectrometry, and density functional theory calculations reveal a pseudo-oxidative, two-electron oxygen-transfer pathway distinct from radical or direct-electron-transfer routes. The putative – O 3 SOOOH exhibits exceptional product selectivity while maintaining a high oxidative potential. The process proceeds under mild potentials, resists interference from common anions, and can be integrated with reverse-osmosis membranes for continuous, zero-reagent purification. The discovery of hydrotrioxide-mediated oxidation establishes a scalable and low-carbon electrochemical platform for sustainable water treatment.

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ACS Applied Nano Materials · 2026 ·Vol. 9 ·期 29 ·13977-13986 · IF 5.8

NIR-II Light-Activated, ROS-Amplifying Janus Nanozymes for Multimodal Synergistic Therapy

Lin Fan,Shao Yong,Zhang Yuanqing

Nanozyme-catalyzed reactive oxygen species (ROS) generation has emerged as a promising strategy for advanced ROS-based therapeutics. However, achieving efficient ROS production with favorable catalytic kinetics in a confined microenvironment remains challenging. Herein, a cancer-targeting heterogeneous Janus nanozyme (JN, Cu 2– x Se–Au-TLS11a) was rationally fabricated via a facile modular synthesis and assembly. Upon near-infrared II (NIR-II) light irradiation, the well-designed JN realized multimodal synergistic anticancer effects via three coordinated mechanisms: (i) efficient photothermal conversion with a high efficiency of 61.9% for photothermal therapy (PTT); (ii) NIR-II-triggered hot-electron transfer from the Au domain to Cu 2– x Se promoted the generation of Cu + , which accelerated Fenton-like reactions to produce hydroxyl radicals (•OH); and (iii) NIR-II photoexcitation induced the formation of electron–hole (e – -h + ) pairs on the Janus nanostructure, enabling additional photocatalytic •OH generation. Under NIR-II light activation, the JNs, integrating photothermal, photoenhanced chemodynamic, and photocatalytic effects, demonstrated highly specific and potent in vitro anticancer efficacy, achieving an IC 50 value of approximately 12.5 μg mL –1 against HepG2 cells and reducing cell viability to 13.8%, thereby providing an innovative paradigm for designing spatiotemporally controlled, ROS-amplifying nanoplatforms toward precision cancer therapy.

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ACS Food Science & Technology · 2026 · IF 3

Co-culture Fermentation of Maize Bran with Saccharomyces cerevisiae and Lactic Acid Bacteria: Effect on Techno-Functional, Structural, Flavor, and Antioxidant Properties

Dimoso Noel,Feng Yue,Tang Anqi,Yang Zhen-Quan

Maize bran is a nutrient-rich byproduct with limited applications. This study evaluated the impact of co-culture fermentation using yeast and lactobacillus strains on bran functionality. The findings indicated that co-fermentation for 72 h significantly improved the microstructure, hydration, and oil absorption properties of bran. Soluble proteins increased the most during single-yeast fermentation for 24 h. Yeast and Pediococcus pentosaceus co-fermentation for 72 h increased total phenolics by 1.42-fold and exhibited the strongest reducing power (4.50 mg/g), DPPH • (32.37 μmol/g), ABTS •+ (298.00 μmol/g), and • OH (68.42%) scavenging activities. Yeast and L. fermentum presented the second most total phenolics, DPPH • , and • OH scavenging activities. Single-yeast fermentation for 48 h demonstrated the highest iron chelation rate at 43.52%. Yeast and L. plantarum exhibited superior total flavonoid content (1.95 mg/g). Further, fermentation treatments modified the flavor profile, with increased phenylethyl alcohol and 3-methylbutanoic acid contents. These results provide valuable insights into the potential of co-fermentation to enhance maize bran functionality.

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