APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
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2026
·Vol. 132
·期 8
·722
·
IF 3
Song Zhe,Xiao Chunyan,Gao Qixuan,Ma Haoyi,Yue Xiting,Lu Jiatian,Jiang Ming
Peroxymonosulfate (PMS)-assisted photocatalytic degradation represents an efficient advanced oxidation process for water purification. In this study, a novel SrTiO₃/Cu₂SnS₃ heterojunction was synthesized via a hydrothermal method, which was employed for visible-light-driven PMS activation to degrade norfloxacin (NOR). The STO/CTS-2 (n SrTiO₃ /n Cu₂SnS₃ = 2) composite exhibited superior catalytic performance, achieving 92.65% NOR degradation within 60 min, attributed to enhanced charge separation and efficient PMS activation. Comprehensive characterization confirmed the heterostructure formation, optimized band alignment, and improved light absorption. Radical trapping experiments revealed that superoxide radicals (•O₂⁻) dominated the degradation process, with additional contributions from SO 4 •⁻ , •OH, 1 O 2 , and h⁺. A plausible NOR degradation pathway and the underlying PMS activation mechanism were proposed. This study provides new insights into visible-light-driven PMS activation and presents an effective strategy for antibiotic wastewater treatment.
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KOREAN JOURNAL OF CHEMICAL ENGINEERING
·
2026
·
IF 3.4
Wang Xiaoqi,Yang Pengwei,Yu Linzhu,Jiang Haoxuan,Ma Jingxiang,Ma Xiangshuai,Ma Shuangchen
Electrochemical nitrogen reduction reaction (eN2RR) is a highly promising approach for ammonia synthesis under normal temperature and pressure conditions. However, its practical application is limited by the low activity and selectivity of the catalysts. In this study, a series of Fe-MOFs materials were prepared by hydrothermal method, and further sintered to obtain Fe@C materials. The electrocatalytic performance of these materials in eN2RR was systematically investigated. The results showed that MIL-53(Fe)-2 exhibited excellent catalytic activity at -0.4 V vs. RHE, with an ammonia production rate of 1.443 µg·h⁻¹·mg⁻¹ and a Faradaic efficiency of 5.972%. In contrast, the Fe@C material derived from MIL-53(Fe)-1, although having rapid activation characteristics within a narrow potential window, did not perform as well as the former. This work provides a new material strategy and experimental basis for the design of iron-based eN2RR catalysts.
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Journal of Environmental Chemical Engineering
·
2026
·Vol. 14
·期 5
·124555
·
IF 7.5
Bingfan Li,Jiahao Liao,Chao Yang,Jiang Han,Tifeng Jiao
Long-term discharge of industrial oily wastewater and frequent oil spills create an urgent demand for high-performance oil-water separation membranes. Conventional membranes are limited by high cost, poor stability, and a trade-off between separation efficiency and recyclability. Meanwhile, massive waste PET plastics trigger severe environmental pollution and resource loss. Herein, waste PET bottles are recycled to fabricate porous electrospun nanofiber substrates, followed by spray-coating nano-silica/epoxy hydrophilic composite layers to obtain superhydrophilic/underwater superoleophobic PET-SE membranes. Combined FTIR, XPS, SEM and EDS characterizations verify successful epoxy grafting and uniform SiO₂ immobilization, with abundant hydrophilic amino, amide and siloxane groups enriched on fiber surfaces. Mechanical tests show the tensile stress rises from 0.78 MPa to 2.3 MPa after modification. The optimized PET-SE3 achieves an ultrahigh water flux of 12756.91 L·m⁻²·h⁻¹ . Its separation efficiency exceeds 98% for six types of immiscible oil-water mixtures, and oil rejection surpasses 90% for corresponding oil-in-water emulsions. After 30 separation cycles, oil rejection remains above 98%, and the membrane exhibits excellent chemical and structural stability. This work realizes resource recovery of waste PET. The PET-SE membrane integrates superior separation performance, robust reusability and scalable eco-friendly preparation, presenting a promising candidate for practical oily wastewater treatment.
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JOURNAL OF CHEMICAL THERMODYNAMICS
·
2026
·
IF 2.5
Kaijian Li,Yuqi Su,Maogang He,Ying Zhang
Reliable diffusion data for alcohol–alkane mixtures are still limited, particularly for systems exhibiting strong non-ideal behavior. In this work, mutual diffusion coefficients for ethanol + n-hexane and n-butanol + n-hexane were measured over the entire composition range at 298.15–308.15 K using digital holographic interferometry. The relative standard uncertainty associated with the optical measurement subsystem was estimated to be 0.0118. After propagation of the identified instrumental uncertainty sources, including temperature control, phase-parameter determination, composition preparation, and material purity, the instrumental relative standard uncertainty of the diffusion coefficients was evaluated to be 0.0121, corresponding to an expanded uncertainty of approximately 2.42% (k = 2). Considering the additional variability among independent experimental realizations, the overall expanded relative uncertainty was estimated to be approximately 4.8% (k = 2). For both systems, the mutual diffusion coefficient shows a pronounced U-shaped dependence on composition, with a minimum at intermediate alcohol mass fractions. In the limit of ω 1 → 0, the mutual diffusion coefficient approaches the tracer diffusion coefficient of alcohol in n-hexane, corresponding to diffusion under infinite dilution conditions. The observed behavior reflects strong non-ideal interactions, primarily associated with hydrogen bonding and composition-dependent molecular interactions. Compared with ethanol, the n-butanol + n-hexane system exhibits stronger non-ideality, consistent with the longer alkyl chain of n-butanol. The experimental data were evaluated using the Darken, Vignes, and UNIDIF models. Among them, the UNIDIF model provided the best overall agreement, although deviations remain significant over the full composition range. For ethanol + n-hexane at 298.15 K, the present results show good agreement with available literature data in terms of the overall composition-dependent trend, supporting the reliability of the measurement methodology. The new diffusion data reported here extend the available database for alcohol–alkane systems and provide a consistent basis for improving transport modeling.
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LANGMUIR
·
2026
·Vol. 42
·期 29
·21139-21154
·
IF 4.4
Mai Quan-Doan,Dang Thi Hanh Trang,Tran Van Tiep,Ngo Thi Loan,Ong Van Hoang,Cao Thi Hong,Nguyen Quang Hoa,Lich Le Van,Nguyen Cong Chi,Mai Xuan Trang,Phan Manh-Huong,Pham Anh-Tuan,Le Anh-Tuan
Surface-enhanced Raman spectroscopy (SERS) is a powerful
analytical
technique capable of providing rapid and noninvasive molecular fingerprint
identification through characteristic vibrational signatures. However,
developing SERS platforms that enable both ultrasensitive and highly
selective detection, particularly for molecules with intrinsically
weak Raman responses, remains a major challenge, yet it is highly
desirable for expanding the currently limited application scope of
SERS. Herein, we introduce a novel plasmonic porous multicore@shell
Ag@UiO-66 nanostructure that synergistically integrates the localized
surface plasmon resonances (LSPRs) of Ag nanoparticles (NPs) with
the selective molecular capture capability of the metal–organic
framework UiO-66. The hybrid structure is fabricated via a simple
solvent-induced self-assembly strategy, enabling in situ formation
of UiO-66 around dispersed AgNPs at room temperature. The resulting
architecture immobilizes multiple AgNP cores within a porous UiO-66
shell matrix, simultaneously stabilizing their plasmonic activity
and generating abundant interparticle hotspots. More importantly,
the UiO-66 shell provides molecular recognition toward salicylic acid
(SA─a bioactive aromatic compound) through synergistic adsorption
interactions involving bidentate coordination with Zr nodes, hydrogen
bonding, and π-π interactions. This cooperative plasmonic-molecular
recognition mechanism effectively concentrates target molecules at
electromagnetic hotspots, leading to significantly enhanced SERS signals.
As a result, the developed platform achieves highly selective and
ultrasensitive detection of SA with a detection limit down to 1 nM,
far surpassing that of traditional SERS substrates (∼1 μM).
Furthermore, machine learning-assisted spectral analysis confirms
the reliable and selective identification of SA in complex mixtures.
This work demonstrates an effective strategy for developing MOF-enabled
selective and ultrasensitive SERS platforms, opening new avenues for
advanced molecular sensing applications.
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PubMed
高影响因子
Separations
·
2026
·Vol. 13
·期 8
·233
·
IF 3.5
Jiawei Wang,Meiqin Zheng
A new efficient coupled process to produce green solvent ethyl propionate was developed, which involved a fixed-bed reactor and pervaporation membrane separation. Firstly, the esterification reaction alone was investigated to explore reaction conditions and kinetics. Secondly, the pervaporation alone was investigated to explore separation conditions and the separation performance of pervaporation membranes. Then, the esterification reaction, coupled with pervaporation to enhance the reaction process, was investigated. Finally, the mathematical model of the esterification reaction, coupled with the pervaporation process, was established. The results showed that the conversion of ethanol reached 78.4% within 5 h. The reaction kinetics were obtained based on the pseudo-homogeneous (PH) model. Under the condition of a circulation flow rate of 100 L/h, the influence of concentration polarization could be well overcome, and a high level of pervaporation could be achieved. The pervaporation coefficients of the four-component system were obtained based on Fick’s law. The dehydration rate increased significantly with the increase in pervaporation temperature, which could effectively enhance the esterification reaction. The model could well predict the experimental results, and the experimental results were in good agreement with the theoretical calculations.
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Nature Communications
·
2026
·
IF 18.1
Wen Jie,Xia Maoting,Fu Hongwei,Lyu Wang,Fan Ling,Zhou Jiawan,Rao Apparao M.,Zhou Jiang,Wen Shuangchun,Lu Bingan
Nonflammable electrolytes are pivotal for improving the safety of potassium-ion batteries. However, their broad adoption has been hindered by the inadequate electrode compatibility of conventional nonflammable electrolytes, which typically result from strong solvation and excessive free solvent molecules. Here, we employ a molecular design strategy that integrates strong coordination capability with anion-reinforced solvation structure, thereby enabling the effective deployment of nonflammable phosphate solvents. By incorporating lengthened functionalized side-chains into the phosphate backbone, the tailored molecule tri(2-butoxyethyl) phosphate achieves robust multi-site chelation via synergistic interactions between the ether oxygen (C-O-C) and the phosphoryl (P=O) groups. Concurrently, its large molecular structure effectively increases the anion-to-solvent ratio in the electrolyte, promoting the formation of stable electrode-electrolyte interphases, and resulting in high compatibility with both the negative and positive electrodes. Consequently, the optimized tri(2-butoxyethyl) phosphate-based electrolyte enables stable cycling of graphite negative electrode (92.7% capacity retention after 800 cycles at 100 mA g −1 ) and Prussian blue positive electrode (4.2 V, 88.6% capacity retention after 3200 cycles at 100 mA g −1 ). Furthermore, the assembled graphite||Prussian blue full cell also maintains 80.3% capacity retention after 1500 cycles at 500 mA g −1 . This work provides a strategy for electrolyte design in potassium-ion batteries.
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OPTICAL MATERIALS
·
2026
·
IF 4.3
Ziying Liu,Ziliang Liu,Lei Chen,Guodong Xu,Shuangshuang Wang,Hui Qiao,Xiang Qi
Bismuth tungstate (Bi 2 WO 6 ), a typical Aurivillius-phase layered oxide, possesses considerable application potential in optoelectronic devices owing to its suitable bandgap structure and favorable chemical stability. However, conventional two-dimensional (2D) materials often suffer from limited light-harvesting efficiency due to their restricted thickness and short optical path length, which hampers their photoelectric conversion performance to a certain extent. To improve this drawback, inspired by the hierarchical structure of natural petals, we constructed a novel three-dimensional (3D) flower-like Bi 2 WO 6 micro-nanostructure assembled from ultrathin nanosheets via a controllable hydrothermal strategy. This special morphology can effectively enlarge the specific surface area and induces multiple light scattering, significantly boosting photo-electric conversion. Consequently, the photodetector based on nanoflower structures exhibits obviously optimized photoresponse performance. Its response time is greatly shorten to 40/285 ms (rise and fall processes respectively). The photocurrent density reaches over 2.34 μA per square centimeter, which is more than doubled that of unoptimized samples, while the responsivity attains 48.7 μA W −1 cm −1 with an increase of approximately sixfold. Furthermore, the fabricated flexible devices can maintain favorable photoresponse capabilities under various bending angles, demonstrating satisfactory mechanical flexibility and stability. This study not only elucidates the underlying mechanism by which the three-dimensional biomimetic flower-like architecture enhances optoelectronic performance, but also provides new insights for the design of high-performance flexible biomimetic photodetectors.
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Resources Chemicals and Materials
·
2026
·
IF 10.4
Nan Sun,Dawei Zhao,Jie Zheng,Rongguang Li,Zhiguo Li,Yang Liu
This study introduces an innovative organic filler, polydopamine-coated cellulose nanofibers (PDA-CNF), designed to revolutionize self-healing materials by introducing abundant dynamic chemical bonds into polymer matrices. The synergistic interaction between dynamic hydrogen bonds and metal-ligand coordination enabled the creation of a series of composites exhibiting exceptional and highly tunable mechanical and self-healing properties. Notably, the Zn²⁺-enhanced composite exhibited a tensile strength of 5.8 MPa and a self-healing efficiency of 99.3%, demonstrating remarkable improvements of 444.6% and 101.7%, respectively, compared to the conventional composite without metal-ligand coordination. This innovation effectively breaks the long-standing trade-off between mechanical strength and self-healing efficiency in traditional polymers. By precisely adjusting the type and concentration of metal ions, the composites exhibit extensive tunability in stress (0.9–6.5 MPa), strain (3.7%–240.0%) and self-healing efficiency (70.4%–109.7%). This tunability enabled the development of multifunctional materials tailored for cutting-edge applications. Benefiting from such adaptive structural characteristics, the material delivers superior conductivity of 123 S·cm⁻¹ and a high EMI shielding efficiency of 56 dB, while exhibiting stable durability for advanced flexible wearable sensor devices. This work pioneers a novel platform for designing self-healing materials with advanced tunable functionalities, offering transformative potential for EMI shielding and sensor technologies.
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TALANTA
·
2026
·
IF 6.7
Huijun Li,Tianyi Zheng,Xiang Liu,Luojia Cheng,Junjun Sun,Zhouqing Xu,Yan Wang
A multifunctional composite, designated as ZIF-8@LY/ZIF-8@CDs-Eu 3+ , was rationally designed as a fluorescence probe and high-performance photocatalyst for simultaneous detection and degradation of oxytetracycline (OTC). To address the critical challenge of co-encapsulating fluorescein (LY) and Eu 3+ -functionalized carbon dots (CDs-Eu 3+ ) within a single porous particle without functional incompatibility, we proposed a core-shell ZIF-8 architecture, where the etched ZIF-8 core served as the host for LY loading, and the in situ grown ZIF-8 shell was introduced to immobilize CDs-Eu 3+ . The acetic acid etching of the ZIF-8 core created abundant sites to absorb more LY molecules, which further enhanced the OTC removal efficiency. On this basis, a fluorescence “turn-on” ratiometric quantitative detection platform for OTC was established, with a low limit of detection (LOD) of 1.8 nM. Meanwhile, the ZIF-8@LY/ZIF-8@CDs-Eu 3+ composite achieved 99% OTC removal within 300 min under light irradiation, driven by the generated reactive species including superoxide radicals (·O 2 − ), hydroxyl radicals (·OH), and photogenerated holes (h + ). Notably, three parallel degradation pathways of OTC were identified via high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS). This work not only provides an innovative strategy for the design of multifunctional MOF-based composites, but also opens a new avenue for the efficient monitoring and elimination of antibiotic residues in complex environmental matrices.
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Journal of Future Foods
·
2026
·
IF 10.6
Jinjie Hua,Liyue Yang,Jianqiang Ma,Xiwang Li,Ting An,Fenglan Zhang,Ming Chen,Xinxin Lv,Jiayi Zhu,Jinjin Wang,Haibo Yuan,Yongwen Jiang
Tea varieties are key factors influencing tea type and flavor quality. However, the key biochemical indicators biochemical indicators associated with tea varietal suitability remain unclear, and the traditional phenol-ammonia ratio is insufficient as an evaluation criterion. Therefore, identifying reliable biochemical markers for evaluating tea varietal suitability is important for optimizing tea processing and product quality. We aimed to identify key biochemical indicators associated with tea varietal suitability for black and green tea processing and to establish a predictive model for evaluating tea varietal adaptability. Molecular biology and targeted metabolomics approaches were used to analyze polyphenol oxidase (PPO) activity, the expression of three PPO isozymes, and the contents of 60 non-volatile metabolites (NVMs) in fresh leaves from 20 representative tea varieties. Variable importance in projection, S-plot, taste active value, and classification analyses were applied to identify key differential indicators. A predictive model for tea varietal suitability was subsequently developed using data preprocessing and regression analysis. Nine key differential biochemical indicators, including epigallocatechin gallate, epicatechin gallate, epigallocatechin, epicatechin, catechin, myricetin-3-O-galactoside, theaflavin-3-3′-di-O-gallate, theanine, and glutamic acid, together with three enzyme-related indicators, namely PPO activity and the expression levels of PPO2 and PPO4, were identified. Tea varieties suitable for black tea exhibited high levels of epigallocatechin gallate, epicatechin gallate, theaflavin-3-3′-di-O-gallate, and PPO activity, particularly PPO4 expression. In contrast, tea varieties suitable for green tea showed high levels of epigallocatechin, epicatechin, theanine, glutamic acid, and myricetin-3-O-galactoside content. A 1DER+MINMAX data preprocessing method and predictive model effectively evaluated tea varietal suitability. This study identified key biochemical indicators associated with tea varietal suitability and established a predictive model for evaluating tea adaptability for black and green tea processing. These findings provide theoretical and technical support for the efficient utilization of fresh leaf leaves and tea product development.
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Journal of Environmental Chemical Engineering
·
2026
·Vol. 14
·期 5
·124557
·
IF 7.5
Qihang Ye,Zhaoping Zhong,Wei Wang,Yuxuan Yang,Renzhi Qi,You Jia,Huanqi Chen,Xiang Zheng
A “lignin-first” strategy was proposed employing an acidic DES for the preliminary separation of lignin. The DES, formulated with ZnCl₂, levulinic acid, and ethanol used as an additive (molar ratio of 1:1:2), was used to investigate the effects of pretreatment conditions on the efficiency of lignin separation from pine wood. The results demonstrated that both temperature and pretreatment time were critical factors determining lignin recovery efficiency, with 120 °C and 6 h identified as the optimal reaction conditions. The lignin recovery yield initially increased with higher proportion of DES, followed by a decrease upon further addition of DES. Excessive DES addition resulted in excessive fragmentation of lignin, thereby reducing recovery efficiency. A maximum lignin recovery ratio of 94.12% was achieved under the conditions of 120 °C, 6 h, and a solid-to-liquid ratio of 1:15. Characterization analysis revealed that the extracted lignin exhibited structural features similar to those of milled wood lignin (MWL), along with a relatively low molecular weight (1500–2500 g/mol) and a narrow dispersion coefficient (PDI < 2.0). Hydrolysis of the solid residue confirmed that DES pretreatment effectively enhanced cellulose conversion (increasing from 41.11% to 93.26%) and yielded 36.74% furfural. This study provides valuable insights for future biomass refining processes.
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危险品化学品经营许可证（带存储）