{"title":"基于织物的智能火灾预警和阻燃涂层：进展、挑战和前景综述","authors":"Guangyi Zhang, Shusheng Wu, Xichen Xu, Zaihong Wei, Bihe Yuan","doi":"10.1016/j.nanoso.2024.101328","DOIUrl":null,"url":null,"abstract":"<div><p>Fabric-based fire-warning and flame-retardant coatings could achieve dual functions of active warning response and passive fire retardancy. In contrast to conventional fire detection systems that necessitate installation at designated locations, the contact surface between the coating sensing material and the flame is substantially augmented. Therefore, it possesses crucial application value in enhancing the warning efficiency and fire safety performance of flammable substrates. This review primarily delved into the flame retardancy and fire warning of fabric coating materials. It thoroughly examined the current research status of fabric-based flame-retardant coatings and analyzed the fire-warning mechanisms of voltage-based and resistance-based coatings. Furthermore, this comprehensive review elucidated the research and current applications of various coatings based on sensing materials such as graphene oxide, carbon nanotubes, and MXene in the fire warning and flame resistance. Additionally, it is worth noting that the current functionality of fabric-based coatings is relatively limited, necessitating the incorporation of multi-functionality to adapt to various usage scenarios. In addition, it is necessary to develop large-scale coating preparation technique to achieve commercial production and combine artificial intelligence technology to achieve higher-level fire warning and flame-resistant application. Finally, the future development trend of the fabric-based coating was prospected.</p></div>","PeriodicalId":397,"journal":{"name":"Nano-Structures & Nano-Objects","volume":"40 ","pages":"Article 101328"},"PeriodicalIF":5.4500,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fabric-based intelligent fire-warning and flame-retardant coating: A review of advances, challenges and prospects\",\"authors\":\"Guangyi Zhang, Shusheng Wu, Xichen Xu, Zaihong Wei, Bihe Yuan\",\"doi\":\"10.1016/j.nanoso.2024.101328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Fabric-based fire-warning and flame-retardant coatings could achieve dual functions of active warning response and passive fire retardancy. In contrast to conventional fire detection systems that necessitate installation at designated locations, the contact surface between the coating sensing material and the flame is substantially augmented. Therefore, it possesses crucial application value in enhancing the warning efficiency and fire safety performance of flammable substrates. This review primarily delved into the flame retardancy and fire warning of fabric coating materials. It thoroughly examined the current research status of fabric-based flame-retardant coatings and analyzed the fire-warning mechanisms of voltage-based and resistance-based coatings. Furthermore, this comprehensive review elucidated the research and current applications of various coatings based on sensing materials such as graphene oxide, carbon nanotubes, and MXene in the fire warning and flame resistance. Additionally, it is worth noting that the current functionality of fabric-based coatings is relatively limited, necessitating the incorporation of multi-functionality to adapt to various usage scenarios. In addition, it is necessary to develop large-scale coating preparation technique to achieve commercial production and combine artificial intelligence technology to achieve higher-level fire warning and flame-resistant application. Finally, the future development trend of the fabric-based coating was prospected.</p></div>\",\"PeriodicalId\":397,\"journal\":{\"name\":\"Nano-Structures & Nano-Objects\",\"volume\":\"40 \",\"pages\":\"Article 101328\"},\"PeriodicalIF\":5.4500,\"publicationDate\":\"2024-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nano-Structures & Nano-Objects\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352507X24002397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Physics and Astronomy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nano-Structures & Nano-Objects","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352507X24002397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Physics and Astronomy","Score":null,"Total":0}
Fabric-based intelligent fire-warning and flame-retardant coating: A review of advances, challenges and prospects
Fabric-based fire-warning and flame-retardant coatings could achieve dual functions of active warning response and passive fire retardancy. In contrast to conventional fire detection systems that necessitate installation at designated locations, the contact surface between the coating sensing material and the flame is substantially augmented. Therefore, it possesses crucial application value in enhancing the warning efficiency and fire safety performance of flammable substrates. This review primarily delved into the flame retardancy and fire warning of fabric coating materials. It thoroughly examined the current research status of fabric-based flame-retardant coatings and analyzed the fire-warning mechanisms of voltage-based and resistance-based coatings. Furthermore, this comprehensive review elucidated the research and current applications of various coatings based on sensing materials such as graphene oxide, carbon nanotubes, and MXene in the fire warning and flame resistance. Additionally, it is worth noting that the current functionality of fabric-based coatings is relatively limited, necessitating the incorporation of multi-functionality to adapt to various usage scenarios. In addition, it is necessary to develop large-scale coating preparation technique to achieve commercial production and combine artificial intelligence technology to achieve higher-level fire warning and flame-resistant application. Finally, the future development trend of the fabric-based coating was prospected.
期刊介绍：
Nano-Structures & Nano-Objects is a new journal devoted to all aspects of the synthesis and the properties of this new flourishing domain. The journal is devoted to novel architectures at the nano-level with an emphasis on new synthesis and characterization methods. The journal is focused on the objects rather than on their applications. However, the research for new applications of original nano-structures & nano-objects in various fields such as nano-electronics, energy conversion, catalysis, drug delivery and nano-medicine is also welcome. The scope of Nano-Structures & Nano-Objects involves: -Metal and alloy nanoparticles with complex nanostructures such as shape control, core-shell and dumbells -Oxide nanoparticles and nanostructures, with complex oxide/metal, oxide/surface and oxide /organic interfaces -Inorganic semi-conducting nanoparticles (quantum dots) with an emphasis on new phases, structures, shapes and complexity -Nanostructures involving molecular inorganic species such as nanoparticles of coordination compounds, molecular magnets, spin transition nanoparticles etc. or organic nano-objects, in particular for molecular electronics -Nanostructured materials such as nano-MOFs and nano-zeolites -Hetero-junctions between molecules and nano-objects, between different nano-objects & nanostructures or between nano-objects & nanostructures and surfaces -Methods of characterization specific of the nano size or adapted for the nano size such as X-ray and neutron scattering, light scattering, NMR, Raman, Plasmonics, near field microscopies, various TEM and SEM techniques, magnetic studies, etc .
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