ANALYTICA CHIMICA ACTA
·
2024
·
IF 5.7
Jianhui Xie,Shuying Mao,Yanglan Zhao,Guimin Zhang,Jingchun Yao,Yongxia Guan,Jizhong Yan,Hui Zhang
Natural products-based screening of active ingredients and their interactions with target proteins is an important ways to discover new drugs. Assessing the binding capacity of target proteins, particularly when multiple components are involved, presents a significant challenge for sensors. As far as we know, there is currently no sensor that can accomplish high-throughput quantitative analysis of natural product-target protein binding capacity based on Raman spectroscopy. In this study, a novel sensor model has been developed for the quantitative analysis of binding capacity based on Surface-Enhanced Raman Spectroscopy (SERS) and Photocrosslinked Molecular Probe (PCMP) technology. This sensor, named SERS-PCMP, leverages the high throughput of molecular probe technology to investigate the active ingredients in natural products, along with the application of SERS labelling technology for target proteins. Thus it significantly improves the efficiency and accuracy of target protein identification. Based on the novel strategy, quantitative analysis of the binding capacity of 20 components from Shenqi Jiangtang Granules (SJG) to α-Glucosidase were completed. Ultimately, the binding capacity of these active ingredients was ranked based on the detected Raman Intensity. The compounds with higher binding capacity were Astragaloside IV (Intensity, 138.17), Ginsenoside Rh2 (Intensity, 87.46), Ginsenoside Rg3 (Intensity, 73.92) and Ginsenoside Rh1 (Intensity, 64.37), which all exceeded the binding capacity of the positive drug Acarbose (Intensity, 28.75). Furthermore, this strategy also performed a high detection sensitivity. The limit of detection for the enzyme using 0.1 mg of molecular probe magnetic nanoparticles (MP MNPs) was determined to be no less than 0.375 μg/mL. SERS-PCMP sensor integrating SERS labeling and photocrosslinked molecular probes which offers a fresh perspective for future drug discovery studies. Such as high-throughput drug screening and the exploration of small molecule-target protein interactions in vitro.
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FOOD CHEMISTRY
·
2026
·
IF 10.4
Tianyu Hu,Fang Zou,Jie Yu,Siqian He,Shiyun Lai,Yuanjie Teng,Zaifa Pan
UNCA employs upconversion nanoparticles as signal probes for specific IGF-1 recognition. • Single-molecule counting enables IGF-1 detection with a low LOD of 6.04 pg/mL. • This method exhibits low cross reactivity and good recovery rates in milk products. There is rapidly growing interest in food nutrition assessment, particularly for nutrients present at low abundance. Here, an upconversion nanoprobe counting analysis (UNCA) is designed for ultra-sensitive detection of insulin-like growth factor-1 (IGF-1). The high sensitivity is attributed to the strong fluorescent intensity of upconversion nanoparticles (UCNPs) and highly specific antibody-antigen binding. Core–shell structured UCNPs are synthesized via co-precipitation followed by layer-by-layer epitaxial growth, and detection probes are constructed through hydrophilic ligand exchange and antibody conjugation. Two detection methods, traditional fluorescent intensity detection and single-molecule counting, are established with linear working ranges of 0.05–5000 ng/mL, which reach limit of detections (LODs) of 21.23 and 6.04 pg/mL, respectively. UNCA is further employed for analyzing three representative milk products, achieving recovery of 73.90%–107.09% with coefficients of variation (CVs) between 2.24% and 7.57%. This method demonstrates quantitative detection of trace-level IGF-1, especially via single-molecule counting. Download: Download high-res image (111KB) Download: Download full-size image
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MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING
·
2026
·
IF 5.2
Xueli Zuo,Feida Chen,Shujie Wu,Wei Zheng,Yuan Liu,Jun Li,Jifeng Zhang,Xiaobin Tang
Simultaneously optimizing electrical and thermal transport properties remains a major challenge for thermoelectric materials. In this work, high-entropy secondary phases (HE2P) were introduced into a Cu-doped PbTe matrix to improve the thermoelectric performance of n-type PbTe. Carbon-coated HE2P particles were incorporated into the PbTe matrix through vacuum melting and fast hot-pressing, resulting in a hierarchical microstructure with refined grains, heterointerfaces, and defect structures. The introduced HE2P effectively suppresses lattice thermal conductivity through enhanced phonon scattering induced by interfaces, lattice distortion, and mass fluctuation. Meanwhile, the heterogeneous interfaces introduced by the carbon-coated HE2P particles may also influence carrier transport behavior. As a result, the composite with 7% HE2P achieves a low lattice thermal conductivity of 0.39 W m −1 K −1 at 838 K and a peak ZT value of 1.38, together with an average ZT of 1.01 over 300–850 K. These results suggest that incorporating high-entropy secondary phases provides a feasible approach for improving the thermoelectric performance of PbTe-based materials.
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COMPOSITES PART B-ENGINEERING
·
2026
·
IF 14
Yongkang Han,Tiehu Li,Lizhe Li,Yanying Han,Jiahe Chen,Yanan Liu,Yuhui Liu,Alei Dang
The escalating heat flux in miniaturized electronics requires high-performance thermal interface materials (TIMs) for efficient thermal management. However, conventional polymer composites suffer from a persistent trade-off between thermal conductivity, filler loading and processability. Herein, we report a novel Ca 2+ -mediated assembly strategy to fabricate topologically optimized graphene fiber frameworks (GFFs) for polydimethylsiloxane (PDMS) composites. By precisely regulating the fusion degree, this approach transforms discrete fiber networks into interconnected skeletons, establishing continuous through-plane phonon transport channels while minimizing interfacial scattering. Remarkably, the produced GFF/PDMS composite achieves a superior through-plane thermal conductivity of 5.91 W m −1 K −1 at an ultralow filler loading of only 2.5 wt%, representing a ∼30-fold enhancement compared to pure PDMS. More importantly, due to the established vertical conduction pathways and excellent surface conformability, the contact thermal resistance of GFF2/PDMS (55.11 K mm 2 W −1 ) is reduced by one order of magnitude compared to commercial counterparts. Consequently, in real-time chip dissipation tests, the composite delivers exceptional cooling efficiency, yielding a substantial temperature reduction of 66.5 °C relative to the pure matrix. This work provides a scalable paradigm for constructing low-loading, high-efficiency thermal management materials via topological structure design.
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JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY
·
2026
·
IF 4.4
Hao-Yu Zhou,Ya-Yun Ma,Chao-Chen,Guo-Zhi Han
A novel hollow SiO₂@g-C₃N₄@AgBr photocatalyst was fabricated for efficient H₂O₂ production. • The Z -scheme heterojunction endow the catalyst with a narrow band gap of 1.25 eV and superior charge separation efficiency. • The catalyst exhibits a dual-channel pathway to achieve a high H₂O₂ yield up to 1392.84 μmol h −1 g −1 . Using PVP-modified polystyrene (PS) microspheres as a template, and tetraethyl orthosilicate (TEOS), melamine, AgNO₃, and KBr as precursors, a novel mesoporous hollow SiO₂@g-C₃N₄@AgBr ternary composite photocatalyst with a porous surface was readily prepared via a one-pot method. The composite structure was obtained by simple calcination without further chemical reduction. The structure and morphology of the catalyst were characterized by XRD, UV–Vis DRS, SEM, TEM, and XPS. The results revealed that the hollow SiO₂ microspheres provided a high specific surface area, and the band gap of the composite was narrowed to 1.25 eV, endowing the hollow composite with excellent broad-spectrum photocatalytic performance. The catalyst achieved efficient photocatalytic H₂O₂ production from water under ambient air, and the maximum productivity reached 1392.84 μmol·g −1 ·h −1 within 1 h with the aid of different sacrificial agents. Finally, the catalytic mechanism was investigated. The as-prepared catalyst exhibited a unique dual-channel pathway based on a Z -scheme heterojunction, which significantly boosted H₂O₂ production and environmental adaptability. Download: Download high-res image (65KB) Download: Download full-size image
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INDUSTRIAL CROPS AND PRODUCTS
·
2026
·
IF 6.4
Zhengyun Xie,Like Ning,Farzad Seidi,Shicun Jin,Zhulan Liu,Chao Liu,Huining Xiao
Functionalized nanosilica is used to carry agrochemical IAA via disulfide bonds. • Under GSH environment, SiO 2 -S-S-IAA exhibits significant redox responsiveness. • The -SH on the surface of SiO 2 can form complexes with various heavy metal ions. • Dual-functional nanocarrier allows sustained IAA release and capture of metal ions. Owing to the low efficiency and lack of target specificity in the application of agrochemicals, e.g., plant growth regulators, the resulting environmental pollution and resource waste have raised enormous concerns over environments and human health. Herein, a redox-responsive nanosilica carrier (SiO 2 -S-S-IAA) was developed for efficient release of 3-indoleacetic acid (IAA), by functionalizing the surface of nanosilica with 3-mercaptopropyltrimethoxysilane (MPTMS), followed by the covalent coupling of IAA via redox-cleavable disulfide bonds. Under the high level of glutathione (GSH) in the plant microenvironment, IAA was released in a controlled way through disulfide bond cleavage, thus achieving redox response. In vitro controlled-release experiments confirmed that the release amount of IAA was significantly higher in the environment of 10 mM GSH, more than 10 folds at pH 5.5. Meanwhile, the thiol groups generated after release could form complexes with various heavy metal ions (Hg 2+ , As 3+ /As 5+ , Cd 2+ , Pb 2+ ), with the highest adsorption efficiency towards Hg 2 + up to 57.95%. More importantly, in planta experiments under cadmium stress have demonstrated that SiO 2 -S-S-IAA not only promoted rice seedling growth but also significantly reduced Cd 2+ accumulation in shoots, effectively inhibiting its transfer to edible parts. This work establishes a dual-functional nanocarrier platform that combines targeted agrochemical delivery with in situ heavy metal immobilization, offering a promising strategy for sustainable and precise crop protection. Download: Download high-res image (185KB) Download: Download full-size image
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ACS Nano
·
2026
·Vol. 20
·期 28
·20340-20350
·
IF 17.3
Liu Qiheng,Gu Guangxiang,Gao Hongwei,Zhang Jinyang,Wang Zhong Lin
Ion
valence state analysis in aqueous solutions is of
critical
importance as the oxidation state of metal ions governs their chemical
reactivity, environmental behavior, and biological effects. Conventional
spectroscopic and electrochemical techniques are often limited by
low selectivity, poor applicability, complex and lengthy sample preparation,
or requiring bulky or expensive instrumentation. Here, we use the
functional relationship between triboelectric charge transfer and
trajectory position as triboelectric spectroscopy (TES), for the rapid
and efficient identification of metal ion valence states in aqueous
solution. By analyzing the peaks positions and corresponding magnitudes
of charge transfer in TES, we successfully identified 15 different
valence states across seven metal elements, achieving a detection
accuracy above 90% with detection limits down to the ppb level. Most
importantly, this work advances the fundamental understanding of liquid–solid
contact electrification by identifying key physicochemical factors
(ion valence and nanoparticle surface states) that govern the spatial
distribution of charge transfer, helping to address a key unresolved
scientific question─the origin of the non-uniform, peak-like
charge transfer distribution. The information derived from TES offers
a broadly applicable, ultrafast (<0.6 s), non-destructive, low-cost,
and portable analytical tool for assessing the oxidation states of
metal elements, including both ions and suspended nanoparticles in
liquid, demonstrating significant potential for analytical chemistry,
real-time environmental monitoring, and biomedical diagnostics.
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CHEMICAL ENGINEERING JOURNAL
·
2026
·
IF 12.5
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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JOURNAL OF FOOD ENGINEERING
·
2026
·
IF 5.8
Fuge Niu,Yuxian Long,Chunxiao Wang,Huabin Liao,Feina Gu,Zhijuan Feng,Jianzhong Zhou,Mengdi Zhao,Weichun Pan
Glycosylation enhanced EWP emulsifying capacity for stable HIPEs. • HIPEs formed jammed droplet networks with viscoelastic behavior. • Interfacial adsorption governed droplet size and microstructure. • Dense interfacial layers improved β-carotene stability (>90%). • Optimal conjugate level (1.5%) maximized bioavailability (+146%). High internal phase emulsions (HIPEs) are promising carriers for lipophilic bioactives; however, their structural stability and digestive performance are highly dependent on interfacial design. In this study, egg white protein (EWP)–xylan oligosaccharide (XOS) maillard conjugates were used to fabricate food-grade HIPEs, and their effects on interfacial adsorption, microstructure, rheological behavior, and delivery functionality were systematically investigated. Glycosylation significantly improved the emulsifying performance of EWP, enabling the formation of stable HIPEs with a maximum oil phase fraction ( ϕ ) of 0.87 at 2.0% conjugate concentration, while a minimum concentration of 0.4% was sufficient at ϕ = 0.80. Increasing conjugate concentration enhanced interfacial adsorption, reduced droplet size, and promoted the formation of a densely packed, jammed droplet network, resulting in concentration-dependent viscoelastic properties. Furthermore, HIPEs effectively improved the thermal and storage stability of β-carotene, with retention exceeding 90% after 30 days, which was attributed to the formation of a dense interfacial barrier that limited mass transfer. In vitro digestion revealed that lipid hydrolysis and β-carotene bioaccessibility were maximized at 1.5% conjugate concentration, reflecting a balance between structural stability and enzymatic accessibility. Overall, this study establishes a structure–function relationship in EWP–XOS-stabilized HIPEs and provides mechanistic insights for designing protein–polysaccharide-based delivery systems for lipophilic bioactive. Download: Download high-res image (339KB) Download: Download full-size image
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PROGRESS IN ORGANIC COATINGS
·
2026
·
IF 7.9
Yine Ren,Yuan Kou,Wen Sun,Lida Wang
The design of coatings that simultaneously exhibit high thermal conductivity and superior corrosion protection performance in extreme corrosive environments has garnered considerable interest in the academic community. However, constructing a continuous phonon conduction pathway within the coatings is extremely challenging. Inspired by the urchin structure, we developed a carbon-based three-dimensional thermally conductive network filler with the urchin-like morphology through a combination of in situ liquid-phase compounding, high-temperature pyrolysis, and self-assembly. This unique three-dimensional interconnected architecture enables continuous phonon conduction pathways that facilitate efficient thermal conduction while simultaneously reinforcing the “labyrinth” effect to suppress corrosive media permeation, thereby overcoming the intrinsic trade-off between thermal conductivity and corrosion protection. The as-prepared composite coating with a filler loading of 10 wt% delivers a 286% enhancement in thermal conductivity compared to the blank novolac epoxy (EPN) coating, while maintaining outstanding corrosion protection performance under harsh corrosive conditions. This research presents a unique method for designing and preparing composite coatings with high thermal conductivity and corrosion protection performance, thereby exhibiting significant potential for waste heat and water vapor recovery.
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JOURNAL OF POWER SOURCES
·
2026
·
IF 8.4
Xiaochang Qiao,Mingyang Yu,Wenzhuo Wang,Jingkang Lei,Xiaotong Song,Qiqing Ye,Wenjian Wu,Weina Xu,Wenlong Wang,Junming Luo
Developing cost-effective bifunctional electrocatalysts for oxygen reduction and evolution reactions (ORR/OER) is crucial for rechargeable Zn-air batteries. Herein, we synthesize a novel catalyst comprising helical carbonaceous nanotubes encapsulating cobalt nanoparticles, using corn stigma agricultural waste, melamine and cobalt chloride as precursors. The curved surface of helical carbonaceous nanotubes promotes metal ion dispersion and charge separation within the carbon lattice. Applying strain engineering to these curved structures further tunes the electronic configuration of the active centers, boosting electrocatalytic performance. The as-prepared catalyst demonstrates remarkable electrocatalytic performance, achieving a high ORR half-wave potential of 0.869 V with minimal degradation (10 mV shift after 5000 CV cycles), along with a low OER overpotential of 350 mV at 10 mA cm −2 . In liquid Zn-air batteries, the catalyst delivers a peak power density of 214.8 mW cm −2 and stable operation for over 390 h at 10 mA cm −2 with negligible voltage decay. Moreover, the corresponding flexible wearable Zn-air battery demonstrates excellent foldability and cyclic stability. These results highlight a promising strategy for designing durable, high-efficiency electrocatalysts for metal-air energy systems.
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AICHE JOURNAL
·
2026
·
IF 4.4
Aihemaiti Tuniyazi,Jing Li,Feng Li,Yi Zhang,Yating Yuan,Shuting Xi,Sheng Zhang,Shengping Wang
Electrocatalytic CO 2 reduction reaction (ECO 2 RR) faces limitations in conventional reactors due to high energy consumption, inefficient mass transport, and poor durability caused by ion-exchange membranes. Herein, we developed a membrane-free flow electrolyzer that dynamically decouples cathodic CO 2 -to-CO reduction from the anodic oxygen evolution reaction via a regenerative bromide cycle (Br − /BrO 3 − ). Operating at 216 mA cm −2 , the system achieves a record-low cell voltage of 1.85 V, maintains over 99% CO Faradaic efficiency, attains 32.9% single-pass CO 2 conversion, and reaches 71.9% energy efficiency (EE), with negligible degradation over 100 h of continuous operation. Operando spectroscopy reveals that local pH stabilization at 7.2 optimizes *CO/*H adsorption, thereby enhancing CO selectivity and EE. Techno-economic analysis shows a 60% lower power cost (111.8 vs. 277.79 $ ton −1 CO) vs. conventional systems. This work provides new insights into addressing persistent challenges in ECO 2 RR, including mass transfer limitations, carbonate formation, and anodic reaction mismatch.
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