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Sterilization of mycete attached on the unearthed silk fabrics by an atmospheric pressure plasma jet

Chinese Physics B 2018年第5期27卷 390-399页

作者： Rui Zhang Jin-song Yu Jun Huang Guang-liang Chen Xin Liu Wei Chen Xing-quan Wang Chao-rong Li Key Laboratory of Advanced Textile Materials and Manufacturing Technology and Engineering Research Center for Eco-Dyeing & Finishing of Textiles Ministry of Education Zhejiang Sci-Tech University Hangzhou 310018 China Department of Chemistry and Chemical Engineering University of New Haven 300 Boston Post Road West Haven Connecticut 06516 USA College of Physics and Electronic Information Gannan Normal University Ganzhou 341000 China State Key Laboratory for Hubei New Textile Materials and Advanced Processing Technology Wuhan Textile University Wuhan 430200 China

The sterilization of the simulated unearthed silk fabrics using an atmospheric pressure plasma jet（APPJ） system employing Ar/O2 or He/O2 plasma to inactivate the mycete attached on the silk fabrics is reported. The effects of the APPJ characteristics（particularly the gas type and discharge power） on the fabric strength, physical-chemical structures,and sterilizing efficiency were investigated. Experimental results showed that the Ar/O2 APPJ plasma can inactivate the mycete completely within 4.0 min under a discharge power of 50.0 W. Such an APPJ treatment had negligible impact on the mechanical strength of the fabric and the surface chemical characteristics. Moreover, the Ar ions, O and OH radicals were shown to play important roles on the sterilization of the mycete attached on the unearthed silk fabrics.

关键词： unearthed silk fabric mycete sterilization atmospheric pressure plasma jet （APPJ） sterilization mechanism

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Low-coordination Nanocrystalline Copper-based Catalysts through Theory-guided Electrochemical Restructuring for Selective CO2Reduction to Ethylene

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Angewandte Chemie 2024年第16期136卷

作者： Wensheng Fang Ruihu Lu Fu-Min Li Chaohui He Dan Wu Kaihang Yue Yu Mao Wei Guo Bo You Fei Song Tao Yao Ziyun Wang Prof. Bao Yu Xia School of Chemistry and Chemical Engineering State Key Laboratory of Materials Processing and Die & Mould Technology Key Laboratory of Material Chemistry for Energy Conversion and Storage (Ministry of Education) Hubei Key Laboratory of Material Chemistry and Service Failure Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology (HUST) 1037 Luoyu Rd Wuhan 430074 China School of Chemical Sciences University of Auckland Auckland 1010 New Zealand National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei 230029 P. R. China CAS Key Laboratory of Materials for Energy Conversion Shanghai Institute of Ceramics Chinese Academy of Sciences (SICCAS) Shanghai 200050 China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201800 China

Revealing the dynamic reconstruction process and tailoring advanced copper (Cu) catalysts is of paramount significance for promoting the conversion of CO 2 into ethylene (C 2 H 4 ), paving the way for carbon neutralization and facilitating renewable energy storage. In this study, we initially employed density functional theory (DFT) and molecular dynamics (MD) simulations to elucidate the restructuring behavior of a catalyst under electrochemical conditions and delineated its restructuring patterns. Leveraging insights into this restructuring behavior, we devised an efficient, low-coordination copper-based catalyst. The resulting synthesized catalyst demonstrated an impressive Faradaic efficiency (FE) exceeding 70 % for ethylene generation at a current density of 800 mA cm −2 . Furthermore, it showed robust stability, maintaining consistent performance for 230 hours at a cell voltage of 3.5 V in a full-cell system. Our research not only deepens the understanding of the active sites involved in designing efficient carbon dioxide reduction reaction (CO 2 RR) catalysts but also advances CO 2 electrolysis technologies for industrial application.

关键词： Carbon dioxide reduction Restructuring behavior Cu catalyst Ethylene Low coordination number

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Determination of dynamic recrystallization parameter domains of Ni80A superalloy by enhanced processing maps

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Transactions of Nonferrous Metals Society of China 2019年第7期29卷 1449-1464页

作者： Guo-zheng QUAN Qiao LIU Jiang ZHAO Wei XIONG Rui-ju SHI State Key Laboratory of Mechanical Transmission School of Material Science and EngineeringChongqing UniversityChongqing 400044China State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education Collaborative Innovation Center of Advanced Nuclear Energy TechnologyInstitute of Nuclear and New Energy TechnologyTsinghua UniversityBeijing 100084China

The determination of intrinsic deformation parameters inducing grain refinement mechanism of dynamic recrystallization (DRX) contributes to the relative forming process design. For Ni80A superalloy, the processing maps were constructed by the derivation of the stress-strain data coming from a series of isothermal compression tests at temperatures of 1273^-1473 K and strain rates of 0.01-10 s^-1. According to the processing maps and microstructural validation, the deformation parameter windows with DRX mechanism were separated in an innovative deformation mechanism map. In addition, the deformation activation energy representing deformation energy barrier was introduced to further optimize such windows. Finally, the enhanced processing maps were constructed and the parameter domains corresponding to DRX mechanism and lower deformation barrier were determined as follows: at ε=0.3, domains: 1296-1350 K, 0.056-0.32 s^-1 and 1350-1375 K, 0.035-0.11 s^-1;at ε=0.5, domains: 1290-1348 K, 0.2-0.5 s^-1 and 1305-1370 K, 0.035-0.2 s^-1;at ε=0.7, domains: 1290-1355 K, 0.042-0.26 s^-1;at ε=0.9, domains: 1298-1348 K, 0.037-0.224 s^-1.

关键词： nickel-based superalloy deformation activation energy processing map dynamic recrystallization

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Modeling of metal nanoparticles: Development of neural-network interatomic potential inspired by features of the modified embedded-atom method

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Physical Review B 2020年第14期102卷 144107-144107页

作者： Feifeng Wu Hang Min Yanwei Wen Rong Chen Yunkun Zhao Mike Ford Bin Shan State Key Laboratory of Material Processing and Die and Mould Technology and School of Materials Science and Engineering Huazhong University of Science and Technology Wuhan Hubei 430074 People's Republic of China State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei People's Republic of China State Key Laboratory of Advanced Technologies for Comprehensive Utilization of Platinum Metal Kunming Institute of Precious Metals Kunming 650106 Yunnan People's Republic of China School of Mathematical and Physical Sciences University of Technology Sydney Ultimo Sydney New South Wales 2007 Australia

Interatomic potential plays a key role in ensuring the accuracy and reliability of molecular-dynamics simulation results. While most empirical potentials are benchmarked against a set of carefully chosen bulk material properties, recent advances in machine learning have seen the emergence of neural-network-based mathematical potentials capable of describing highly complex potential energy surfaces for a variety of systems. We report here the development of a neural-network interatomic potential (NNIP) with modified embedded-atom method background density as fingerprint functions, which could accurately model the energetics of metallic nanoparticles and clusters (Cu as a representative example) widely used in catalysis. To appropriately account for the diverse chemical environments encountered in nanoparticles/nanoclusters, an extensive set of atomic configurations (totaling 18 084) were calculated using density-functional-theory (DFT) at the Perdew-Burke-Ernzerhof level. In addition to standard bulk properties such as cohesive energies and elastic constants, the sampled configurations also include a substantial number of differently oriented crystal facets and differently sized nanoparticles and nanoclusters, greatly expanding the value range of NNIP features that was otherwise quite limited. The complex energy potential surface of Cu can be faithfully reproduced, with an average error of 0.011 eV/at for energy states within 3 eV of the ground state. As an illustration, the developed NNIP is used to simulate the molecular dynamics of copper nanoparticles, and good agreement is achieved between DFT and the NNIP.

关键词： Interatomic & molecular potentials Artificial neural networks Nanoparticles

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Author Correction: Biomimetic olfactory chips based on large-scale monolithically integrated nanotube sensor arrays

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Nature Electronics 2024年 842页

作者： Chen Wang Zhesi Chen Chak Lam Jonathan Chan Zhu’an Wan Wenhao Ye Wenying Tang Zichao Ma Beitao Ren Daquan Zhang Zhilong Song Yucheng Ding Zhenghao Long Swapnadeep Poddar Weiqi Zhang Zixi Wan Feng Xue Suman Ma Zhiyong Fan Qingfeng Zhou Kai Liu Geyu Lu Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Hong Kong China The Hong Kong University of Science and Technology–Shenzhen Research Institute Shenzhen China State Key Laboratory of Advanced Displays and Optoelectronics Technologies The Hong Kong University of Science and Technology Clear Water Bay Hong Kong China Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen China Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Clear Water Bay Hong Kong China Ai-Sensing Technology Co. Ltd. Foshan National Torch Innovation Pioneering Park Foshan China State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing China State Key Laboratory on Integrated Optoelectronics College of Electronic Science and Engineering Jilin University Changchun China

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Enhanced Carrier Diffusion Enables Efficient Back-Contact Perovskite Photovoltaics

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Angewandte Chemie 2023年第27期135卷

作者： Boya Zhao Dr. Lara V. Gillan Dr. Andrew D. Scully Dr. Anthony S. R. Chesman Dr. Boer Tan Dr. Xiongfeng Lin Dr. Jingying Liu Dr. Kevin J. Rietwyk Siqi Deng Dr. Christopher Bailey Prof. Yi-Bing Cheng Prof. Dane R. McCamey Prof. Udo Bach Department of Chemical and Biological Engineering Monash University Victoria 3800 Australia ARC Centre of Excellence in Exciton Science Australia School of Physics University of New South Wales New South Wales 2052 Australia CSIRO Manufacturing Victoria 3168 Australia Department of Materials Science and Engineering Monash University Victoria 3800 Australia State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan 430070 China Foshan Xianhu Laboratory Foshan 528216 China

Back-contact architectures offer a promising route to improve the record efficiencies of perovskite solar cells (PSCs) by eliminating parasitic light absorption. However, the performance of back-contact PSCs is limited by inadequate carrier diffusion in perovskite. Here, we report that perovskite films with a preferred out-of-plane orientation show improved carrier dynamic properties. With the addition of guanidine thiocyanate, the films exhibit carrier lifetimes and mobilities increased by 3–5 times, leading to diffusion lengths exceeding 7 μm. The enhanced carrier diffusion results from substantial suppression of nonradiative recombination and improves charge collection. Devices using such films achieve reproducible efficiencies reaching 11.2 %, among the best performances for back-contact PSCs. Our findings demonstrate the impact of carrier dynamics on back-contact PSCs and provide the basis for a new route to high-performance back-contact perovskite optoelectronic devices at low cost.

关键词： Back-Contact Architecture Carrier Dynamics Crystallographic Orientation Guanidine Thiocyanate Perovskite Solar Cells

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Dual-Anionic Coordination Manipulation Induces Phosphorus and Boron-Rich Gradient Interphase Towards Stable and Safe Sodium Metal Batteries

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Angewandte Chemie 2024年第3期137卷

作者： Yi-Hu Feng Dr. Mengting Liu Wenli Qi Haoliang Liu Qiang Liu Dr. Chao Yang Yongwei Tang Xu Zhu Shuai Sun Yuan-Meng Li Tian-Ling Chen Bing Xiao Prof. Xiao Ji Prof. Ya You Prof. Peng-Fei Wang Center of Nanomaterials for Renewable Energy State Key Laboratory of Electrical Insulation and Power Equipment School of Electrical Engineering Xi'an Jiaotong University Xi'an Shaanxi 710049 P. R. China School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan Hubei 430074 P. R. China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan Hubei 430070 P. R. China Jiangsu Jufeng New Energy Technology Co. Ltd. Changzhou Jiangsu 213166 P. R. China

High-voltage sodium metal batteries (SMBs) present a viable pathway towards high-energy-density sodium-based batteries due to the competitive cost advantage and abundant supply of sodium resources. However, they still suffer from severe capacity decay induced by the notorious decomposition of the electrolyte under high voltage and unstable cathode/electrolyte interphase (CEI). In addition, the high reactivity of Na metal and flammable electrolytes push SMBs to their safety limits. Herein, a special dual-anion aggregated Na + solvation structure is designed in a nonflammable trimethyl phosphate-based localized high-concentration electrolyte, and a gradient CEI enriched with phosphorus and boron compounds is formed on the cathode. This thin and stable interphase effectively suppresses the parasitic reaction, improves the interfacial stability of the cathode, and facilitates Na + transport through the interface by the synergistic effect of multi-components, thus optimizing the cycling stability and safety of SMBs. The Na 0.95 Ni 0.4 Fe 0.15 Mn 0.3 Ti 0.15 O 2 //Na batteries employing such electrolyte provide a discharge capacity of 167.5 mAh g −1 and high retention in the capacity of 85.2 % after 800 cycles at 1 C. This approach offers a general strategy for the design of flame-retardant high-voltage electrolytes and the practical application of SMBs.

关键词： sodium metal batteries electrolyte non-flammable cathode/electrolyte interphase solvation structure

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Isotope interface design for high-energy aqueous proton batteries

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Chem 2025年

作者： Cai, Hongwei Fu, Kai Chen, Ruixi Bao, Wenyuan Guan, Deyang Zhang, Xiangchen Deng, Zhaohui Wu, Xinfei Chen, Xingbao Gaumet, Jean-Jacques Luo, Wen Mai, Liqiang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan 430070 China School of Physics and Mechanics Wuhan University of Technology Wuhan 430070 China School of Chemical Sciences University of Auckland Auckland 1010 New Zealand Laboratoire de Chimie et Physique: Approche Multi-échelles des Milieux Complexes (LCP-A2MC) Institut Jean Barriol Université de Lorraine Metz 57070 France Hubei Longzhong Laboratory Wuhan University of Technology (Xiangyang Demonstration Zone) Xiangyang 441000 China

The stability of the electrode-electrolyte interface is crucial for the long-term operation of battery chemistries, particularly under harsh conditions with corrosive acidic/alkaline aqueous electrolytes. Here, we report the design of a H₂¹⁸O-H₂¹⁶O isotope interface to promote the formation of a protective electrode-electrolyte interphase, as demonstrated by a model investigation based on an aqueous proton battery (APB) utilizing strongly acidic aqueous electrolytes. This design enables the manganese-iron Prussian blue analog (MnFe-PBA), typically considered acid intolerant, to cycle stably over 10,000 cycles in corrosive H₃PO₄ electrolytes. This acid resistance is attributed to the isotope interface-governed in situ formation of interphases comprising hydrogen-bonded frameworks. With the high-energy MnFe-PBA cathode, the full battery attains a high voltage plateau (⁓1.2 V) and energy density (77.6 Wh kg⁻¹), both surpassing all previously reported APBs. Our findings provide a novel approach for enhancing the performance of aqueous batteries subject to extremely corrosive conditions and encourage the integration of isotopic science with battery technology. © 2025 Elsevier Inc.

关键词： aqueous battery corrosion resistance electrode-electrolyte interface high-energy proton battery isotope effect SDG7: Affordable and clean energy

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Fibrous chitosan/cellulose composite as an efficient adsorbent for Co(Ⅱ) removal

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Journal of Cleaner Production 2021年 285卷

作者： Shuting Zhuang Kunkun Zhu Jianlong Wang Collaborative Innovation Center for Advanced Nuclear Energy Technology INET Tsinghua University Beijing 100084 PR China State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile University Wuhan 430200 PR China Beijing Key Laboratory of Radioactive Waste Treatment INET Tsinghua University Beijing 100084 PR China

With the rapid development of industries, the heavy metal-containing wastewater has become one of the most serious environmental problems. Adsorption is a key approach in treating heavy metal-containing wastewater. The performance of adsorbents is determined by the effective exposure of its adsorptive sites, which determines its adsorption capacity . In this study, fibrous chitosan/cellulose composite was prepared using the wet-spinning method to increase its specific surface area, thus enhancing the adsorption capacity. The as-prepared fibrous composite showed a homogeneous fiber structure (diameter: 88 ± 16 μm) and high specific surface area (2.5 m 2 g −1 ). Furthermore, the adsorption capacity towards Co(Ⅱ) was greatly enhanced, more than three times higher than that of the pure chitosan beads (diameter: 2–3 mm). The maximum adsorption capacity was calculated to be 23.6 ± 2.5 mg-Co(Ⅱ) per g-chitosan by the Langmuir isotherm model, an order of magnitude higher than that of pure chitosan beads. In addition, the adsorption kinetic behavior of chitosan/cellulose fibers on Co(Ⅱ) followed the pseudo second-order kinetic model . The optimal pH for Co(Ⅱ) removal was approximately 6.0. Furthermore, FT-IR and XPS analyses indicated the amino groups played a dominant role, with the aid of hydroxyl groups, in the coordination and adsorptive removal of Co(II). Possible interaction configurations were also proposed in this study. In conclusion, the proposed physical modification of chitosan greatly improved its adsorption capacity and mechanical strength, making it a promising biosorbent for Co(II) removal.

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Corrigendum to “Catalytic synthesis of SiC coated graphite and its application in carbon containing castables” [Appl. Surf. Sci. 684 (2025) 161937]

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Applied Surface Science 2025年 688卷

作者： Yubao Bi Miaomiao Wang Huifang Wang Haijun Zhang Shaowei Zhang High Temperature Materials Institute Henan University of Science and Technology Luoyang 471023 China Provincial and Ministerial Co-construction of Collaborative Innovation Center for Non-ferrous Metal New Materials and Advanced Processing Technology Luoyang 471023 China Department of Mechanical and Electrical Engineering Hebi Automotive Engineering Professional College Hebi 458031 China Department of Materials Science and Engineering Shanxi Institute of Technology Yangquan 030002 China The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and Technology Wuhan 430081 China College of Engineering Mathematics and Physical Sciences University of Exeter Exeter EX4 4QF UK

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