A self-healable and highly flame retardant TiO2@MXene/P, N-containing polyimine nanocomposite for dual-mode fire sensing
[Display omitted] •The TiO2@MXene/P, N-containing polyimine nanocomposite (TMPNP) is designed.•TMPNP exhibits good contact fire warning and flame position monitoring performance.•The light-powered self-healing and flame retardant properties are achieved.•The TMPNP@Cotton based on IoT technology prov...
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Veröffentlicht in: | Chemical engineering journal (Lausanne, Switzerland : 1996) Switzerland : 1996), 2024-01, Vol.479, p.147545, Article 147545 |
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Sprache: | eng |
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•The TiO2@MXene/P, N-containing polyimine nanocomposite (TMPNP) is designed.•TMPNP exhibits good contact fire warning and flame position monitoring performance.•The light-powered self-healing and flame retardant properties are achieved.•The TMPNP@Cotton based on IoT technology provides wireless fire warning function.
Scalable early fire warning sensors that integrate passive flame-retardant strategies and active fire alarm sensing are highly requirable in diverse areas. However, the single-mode fire response and performance degradation or even malfunction under mechanical damages remain key challenges for current early fire warning sensors. Herein, a self-healable and flame retardant TiO2@MXene/P, N-containing polyimine nanocomposite (TMPNP) is designed as repeatable dual-mode fire warning sensors. On the one hand, the TMPNP exhibits a high temperature coefficient of resistance of −2.21 %/℃, which endows nanocomposite with an extraordinarily sensitive non-contacting fire warning performance; on the other hand, the TMPNP demonstrates outstanding fire contact warning features of responsive time being less than 1 s and repeatable alarming response, as well as excellent flame-retardant functionality of LOI reaching up to 32.0 %. Moreover, the TMPNP can be effectively recovered after 30 cutting-and-healing cycles with a healing efficiency of 89.3 % via dynamic imine bonds. Particularly, its flame retardancy and fire warning properties in contact/non-contact mode are well maintained after self-healing. These merits support the scalable assembly TMPNP onto cotton textile to develop a wireless household fire early warning sensor linked to the Internet of Things, contributing to construct fire-safety smart buildings. This work provides a scalable strategy for preparing healable sensitive fire warning sensors, opening up a new opportunity for the practical application of eliminating indoor fire hazards. |
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ISSN: | 1385-8947 1873-3212 |
DOI: | 10.1016/j.cej.2023.147545 |