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Self-healable and mechanically robust supramolecular-covalent poly(oxime-urethane) elastomers with information encryption via hydrogen bonds and coordinate interactions

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science China Chemistry 2025年第5期68卷 1998-2009页

作者： Ting Ye Jialing Tan Tao Wu Fang Zhang Shaoyu Chen Chaoxia Wang College of Textile Science and Engineering Jiangnan University School of Fashion and Textiles The Hong Kong Polytechnic University

Self-healing polyurethane-elastomers are highly desired in various fields. However, there is often a trade-off between mechanical properties and dynamic self-healing due to the mutually exclusive mechanism. Herein, we develop a self-healable and mechanically robust poly（oxime-urethane） elastomer（Zn-DAPU） to circumvent this inherent trade-off by incorporating zincpyridinyl cross-links into the hydrogen bonding and dynamic oxime-urethane supramolecular-covalent hybrid network. Benefiting from the synergistic strengthening of H-bonding and coordinate interactions, Zn-DAPU network performs tunable toughness with metal ion concentration change, which improves 345.2% and reaches 82.2 MJ m-3, with robust tensile strength of 22.8 MPa, Young's modulus of 37.1 MPa, and satisfactory elongation of 815.7%. The healing efficiency can be reached at 91.7% with a restored toughness of 75.4 MJ m-3at 80 ℃ for 10 h. Furthermore, zinc-contained networks exhibit photolysis behavior due to the homolytic cleavage of N–O bonds in oxime-urethane moieties, which can be functionalized further with fluorescamine as the specific information encryption coating with quick response codes（QRs） upon polyester fabric. This work provides valuable guidance towards the development of high-performance self-healing polyurethane and wearable functional materials.

关键词： self-healing poly(oxime-urethane) supramolecular-covalent network photolysis behavior information encryption coating

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Self-Supervised Fabric Defect Segmentation Based on Optimal Discrete Codebook

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Journal of Shanghai Jiaotong University (science) 2025年 1-10页

作者： Qi, Kankan Pan, Ruru Zhou, Jian College of Textile Science and Engineering Jiangnan University Jiangsu Wuxi214122 China

Anomaly detection is demanding for industrial quality assurance and cost reduction, which is still a challenging problem in practice, due to limited availability of anomalies for model training. This work presents a new self-supervised method based on optimal discrete codebook to address defect (anomaly) segmentation on textile fabric. To suppress the generalization of reconstructing anomalous images, an optimal discrete codebook is learned to encode the abnormal feature into a normal one through latent discrete quantization. Moreover, to improve the discriminative power for subtle abnormal regions, the self-supervised segmentation model is presented by combining multi-layer abnormal features instead of reconstruction error. By using the solid color fabric dataset and the denim dataset for validation, the image-level AUROC reaches 100% and 98.8%, respectively;the pixel-level AUROC reaches 96.7% and 94.1%, respectively. The experimental results demonstrate that the proposed method outperforms state-of-the-art self-supervised algorithms in terms of both running time and localization accuracy for fabric defects, which makes it especially suitable for fabric defect segmentation tasks. © Shanghai Jiao Tong University 2025.

关键词： Self-supervised learning

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Sustainable Development in the textile and Apparel Industry: ESG Performance, Digital Transformation, and Corporate Value

Textile and Leather Review

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textile and Leather Review 2025年 8卷 349-376页

作者： Tian, Bingqiang Song, Rongmai Qu, Hongjian Li, Huankun College of Textile and Fashion Shanghai University of Engineering Science Shanghai201600 China

As China progresses with its "dual carbon" strategy and the deepening concept of sustainable development, there is a growing focus among consumers and investors on the environmental, social, and governance (ESG) performance of businesses. As a high-pollution and resource-intensive traditional manufacturing industry, the ESG practices within the textile and apparel sector require further exploration to understand their influence on corporate value. This research study utilizes data from publicly traded firms in the textile and apparel sector spanning 2013 to 2023. Using a two-way fixed effects approach, accounting for both temporal and individual heterogeneity, we analyze how ESG metrics influence firm value and the underlying mechanisms. The findings indicate that ESG performance in textile and apparel companies contributes to enhancing corporate value;the ability of a company to innovate partially mediates the effect of ESG performance on corporate value;a company’s level of digitalization positively moderates the connection between ESG performance and firm value. This research highlights the unique characteristics of ESG practices in the textile and apparel industry, enriches the theoretical framework of corporate sustainability, and provides practical insights for government and corporate decision-makers. © 2025, idd3. All rights reserved.

关键词： textile industry

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Design principles of electroluminescent devices based on different electrodes and recent advances toward their application in textiles

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Journal of Materials Chemistry C 2025年第18期13卷 8934-8957页

作者： Xie, Qiyuan Yao, Yijun Wu, Lei Xue, Ying Shen, Guodong Guo, Changsheng Du, Bin Wu, Hailiang Jin, Yang School of Textile Science and Engineering Xi’an Polytechnic University Shaanxi Xi’an710048 China Key Laboratory of Functional Textile Material and Product Xi’an Polytechnic University Ministry of Education Shaanxi Xi’an710048 China School of Textile Materials and Engineering Wuyi University Jiangmen529020 China College Textile Science & Engineering Jiangnan University Wuxi214122 China

Alternating current electroluminescent (ACEL) devices have become an important direction for the development of visualized smart wearable e-textiles due to their advantages of light weight, flexibility, easy integration, and convenient processing. The electrode layer is a crucial component of ACEL devices, providing the necessary electric field for the dielectric and luminescent layers, and facilitating the stable transport and recombination of electrons and holes in the luminescent layer. Herein, the structural design principles and luminescence mechanisms of ACEL are reviewed, and the newest research and remarkable results of metal-, carbon-, and ion-gel-based electrodes are introduced. This review emphasizes that optimizing the conductive pathways of electrodes, enhancing the interfacial roles of functional layers, and adjusting the thickness and microstructure of layers are crucial for developing high-brightness and stable ACEL devices. Also, increasing the electric field strength and selecting high dielectric constants are identified as key factors. On this basis, the recent progress of ACEL fibers, films, and fabrics in textiles is highlighted. Finally, the challenges and growth encountered in the development of ACEL devices are prospected, considering aspects such as voltage, luminous brightness, color, sensitivity, comfort, and large-scale processing. © 2025 The Royal Society of Chemistry.

关键词： Smart textiles

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Enhanced visible light responsive piezoelectric photocatalysis based on Bi2S3 coated BaTiO3 nanorods heterostructures

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Journal of Colloid and Interface science 2025年第PT B期678卷 657-670页

作者： Liu, Yu Zheng, Jian Zhu, Zhijia Huang, Zhangmi Hu, Chunyan Liu, Baojiang Key Lab of Science and Technology of Eco-textile Ministry of Education College of Chemistry Chemical Engineering Innovation Center for Textile Science and Technology Donghua University No. 2999 North Renmin Road Shanghai201620 China

Although the presence of the built-in electric field will solve the problem of carrier complexation in photocatalytic systems to some extent. However, free carriers will quickly shield the stabilized electric field and lose its effect. Therefore, how to introduce the dynamic piezoelectric field into the photocatalytic system has become an imminent problem. Herein, we developed an overcoated, visible light responsive, piezoelectric-assisted photocatalytic system by depositing Bi2S3 photocatalysts with a narrow-band system onto the surface of highly piezo-responsive BaTiO3 nanorods (BTO NRs). The heterojunction structure, bound by Bi-O chemical bonding, enhances carrier transport efficiency under the influence of the piezoelectric field. In the degradation experiments, the first-order rate constant for the degradation of chlortetracycline hydrochloride (CTC) in the BTO NRs/Bi2S3 system with the optimal complex ratio was 0.0276 min−1, which was 3.1 and 7.8 times higher than that of BTO NRs and Bi2S3, respectively. Additionally, we deduced the degradation pathways of CTC through a combination of Density functional theory (DFT) calculations and Liquid Chromatograph Mass Spectrometer (LC-MS), evaluating the toxicity of the intermediates. This complex system, featuring a highly photo-responsive semiconductor as a photo-acceptor deposited on a piezoelectric semiconductor surface providing a dynamic built-in electric field, enhances carrier separation efficiency under optimal light energy utilization conditions. These findings present novel and effective strategies for addressing two primary challenges in photocatalytic systems: low spectral utilization and significant photogenerated carrier complexation. © 2024 Elsevier Inc.

关键词： Heterojunctions

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Plasma-assisted fabrication of multiscale materials for electrochemical energy conversion and storage

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Carbon Energy 2025年第2期7卷 144-171页

作者： Chen Li Tengfei Zhang Zhong Qiu Beirong Ye Xinqi Liang Xin Liu Minghua Chen Xinhui Xia Chen Wang Wangjun Wan Yongqi Zhang Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengduChina Key Laboratory of Engineering Dielectric and Applications(Ministry of Education) School of Electrical and Electronic EngineeringHarbin University of Science and TechnologyHarbinChina State Key Laboratory of New Textile Materials and Advanced Processing Technology Wuhan Textile UniversityWuhanChina College of Materials Science and Engineering Zhejiang University of TechnologyHangzhouChina School of Materials Science and Engineering Zhejiang UniversityHangzhouChina Zhejiang Academy of Science and Technology for Inspection and Quarantine HangzhouChina

Plasma,the fourth state of matter,is characterized by the presence of charged particles,including ions and *** has been shown to induce unique physical and chemical ***,there have been increased applications of plasma technology in the field of multiscale functional materials'preparation,with a number of interesting *** review will begin by introducing the basic knowledge of plasma,including the definition,typical parameters,and classification of plasma *** this,we will provide a comprehensive review and summary of the applications(phase conversion,doping,deposition,etching,exfoliation,and surface treatment)of plasma in common energy conversion and storage systems,such as electrocatalytic conversion of small molecules,batteries,fuel cells,and *** article summarizes the structure-performance relationships of electrochemical energy conversion and storage materials(ECSMs)that have been prepared or modified by *** also provides an overview of the challenges and perspectives of plasma technology,which could lead to a new approach for designing and modifying electrode materials in ECSMs.

关键词： electrocatalysts energy conversion and storage nanomaterials plasma

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Multiple dynamic bonds enable high mechanical strength and efficient room-temperature self-healable polyurethane for triboelectric nanogenerators

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science China Chemistry 2025年第4期68卷 1468-1477页

作者： Wenwen Zhang Huixia Xuan Xiaofei Xu Jiaming Lou Qingbao Guan Zhengwei You State Key Laboratory for Modification of Chemical Fibers and Polymer Materials Institute of Functional MaterialsCollege of Materials Science and EngineeringShanghai Key Laboratory of Lightweight CompositeResearch Base of Textile Materials for Flexible Electronics and Biomedical Applications(China Textile Engineering Society)Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative MedicineDonghuaUniversityShanghai 201620China

For room temperature self-healing triboelectric nanogenerators(TENGs);the inherent contradiction between mechanical strength and self-healing properties was an urgent problem to be *** on the phenol-carbamate bond;this paper proposed a strategy to design a new molecular structure and coordinate the triple dynamic bonds;which provided a feasible strategy to solve this *** polytetramethylene ether glycol(M_(n)=1;000)as the soft segment in the main chain of polyurethane(PU);meanwhile methylene diphenyl diisocyanate and 4,4'-dihydroxybiphenyl(BP)as the hard segment and chain extension agent;respectively;the combination of tetrad benzene ring endowed the resultant 4BP-PU withπ-π*** effective reversible dissociation and association with hydrogen bond not only bestowed 4BP-PU with high mechanical strength(16.14 MPa);but also promoted high self-healing efficiency(94.8%)at room temperature.4BP-PU was selected as the elastic substrate between polydimethylsiloxane and copper sheet to prepare a self-healing TENG to collect energy from natural ***;the rational molecular structure design provided new ideas for developing self-healing materials and fabricating energy harvest electronics.

关键词： polyurethane self-healing phenolic urethane bonds mechanical property triboelectric nanogenerator

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Yarn-based superhydrophobic wearable sensors for ammonia gas detection at room temperature

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Frontiers of Materials science 2025年第1期19卷 51-62页

作者： Hao Zhao Tao Yang Hao-Kai Peng Hai-Tao Ren Bing-Chiuan Shiu Jia-Horng Lin Ting-Ting Li Ching-Wen Lou School of Textile Science and Engineering Tiangong UniversityTianjin 300387China Tianjin and Ministry of Education Key Laboratory for Advanced Textile Composite Materials Tiangong UniversityTianjin 300387China College of Materials and Chemical Engineering Minjiang UniversityFuzhou 350108China Advanced Medical Care and Protection Technology Research Center College of Textile and ClothingQingdao UniversityQingdao 266071China Shaoxing Keqiao Institute of Tiangong University Shaoxing 312030China

Conventional metal-oxide-semiconductor(MOS)gas sensors are limited in wearable gas detection due to their non-flexibility,high operating temperature,and less *** this study,a yarn-based superhydrophobic flexible wearable sensor for room-temperature ammonia gas detection was prepared based on the nano-size effect of both nanocore yarns prepared through electrostatic spinning and MOS gas-sensitive materials synthesized via a two-step hydrothermal synthesis *** yarn sensor has a response sensitivity of 13.11 towards 100 ppm(1 ppm=10^(−6))ammonia at room temperature,a response time and a recovery time of 36 and 21 s,respectively,and a detection limit as low as 10 ppm with the sensitivity of up to 4.76 towards *** addition,it displays commendable linearity within the concentration range of 10‒100 ppm,accompanied by remarkable selectivity and stability,while the hydrophobicity angle reaches 155.74°.Furthermore,its sensing performance still maintains stability even after repeated bending and prolonged *** sensor also has stable mechanical properties and flexibility,and can be affixed onto the fabric surface through sewing,which has a specific potential for clothing use.

关键词： ammonia sensor superhydrophobicity metal oxide semiconductor flexible wearable sensor

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One-step fabrication of ultrathin porous Janus membrane within seconds for waterproof and breathable electronic skin

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science Bulletin 2025年第5期70卷 712-721页

作者： Yufeng Ni Bing Li Chengzhen Chu Shaofan Wang Yujie Jia Shichun Cao Rasoul Esmaeely Neisiany Chuanglong He Shuo Chen Zhengwei You State Key Laboratory of Advanced Fiber Materials Institute of Functional MaterialsCollege of Materials Science and EngineeringResearch Base of Textile Materials for Flexible Electronics and Biomedical Applications(China Textile Engineering Society)Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative MedicineShanghai Key Laboratory of Lightweight CompositeDonghua UniversityShanghai 201620China College of Biological Science and Medical Engineering Donghua UniversityShanghai 201620China Department of Materials and Polymer Engineering Faculty of EngineeringHakim Sabzevari UniversitySabzevar***Iran Biotechnology Centre Silesian University of TechnologyGliwice44-100Poland

It remains a challenge for a simple and scalable method to fabricate ultrathin porous Janus membranes for stretchable on-skin ***,we propose a one-step droplet spreading phase separation strategy to prepare an ultrathin and easily collected Janus thermoplastic polyurethane(TPU)membrane within *** metal-ion solvation structure mitigated migration kinetics to delay TPU solution demixing,promoting the further penetration of the coagulating ***,the developed membranes,with an average preparation rate of 25.2 cm^(2)s^(−1),had a thickness of 5μm,and the water vapor transmission rate was determined to be 663 g m^(−2) d^(−1).The small pore layer having an average pore size of 1.7μm effectively blocked external liquid *** porous Janus TPU membrane coated by liquid metal served as a building block to develop a new generation of monolithic stretchable electronics with simultaneous high permeability and waterproofness.

关键词： porous polyurethane kinetics

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SADAK: Simple, and Automatic Detection of Accidents on roads using Kolmogorov-Arnold Networks

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International Journal of Information Technology (Singapore) 2025年 1-8页

作者： Dutta, Anurag Kumar, Pijush Kanti Lakshmanan, K. Ghosh, Soubhik Department of Computer Science Government College of Engineering & Textile Technology Calcutta Serampore India Department of Information Technology Government College of Engineering & Textile Technology Calcutta Serampore India Department of Mathematics Kuwait American School of Education Hawalli Salmiya Kuwait Department of Computer Science Bengal College of Engineering and Technology Calcutta Durgapur India

Road accidents are one of the major contributors to mortality in India with nearly 1.68 lakh deaths in 2023 accounting for nearly 19 deaths per hour. While road accidents aren’t always “fatal”, delayed detection leads to the loss of many lives. Deep Learning deliberately showed terrific results for a lot of tasks, but for a long time, the Deep Learning models utilized the standard Multi-Layered Perceptron (MLP) architecture as its’ skeleton. Recently, a state-of-the-art architecture—Kolmogorov Arnold Network (KAN) showed up, with variable activation functions in each edge of the graphical representation of the network. Several works have inherited the KAN architecture and have shown better results in many instances. This research proposes a class of accident detection models, SADAK (Simple, and Automatic Detection of Accidents on roads using Kolmogorov–Arnold Networks) for detection of road accidents inheriting KAN architecture. To benchmark its efficiency, several well-known MLP based architectures have been considered, alongside some state-of-the-art models, which result in accuracies as high as 89% using the MLP (Vision Transformer), and 97% using the KAN architecture (KAN-Convolutional-MLP). © Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

关键词： Deep learning Kolmogorov Arnold network Multi-layered perceptron Road accidents

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