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Table · dataset · 2026

Hydrophobic, Fire–Resistant, and Compressible Aramid Nanofiber Aerogels Enabled by In Situ Polysiloxane Cross-Linking

Listed in figshare and Loughborough Research Repository — shown once because both records carry DOI 10.1021/acsapm.6c02894.s003

Aramid nanofiber (ANF) aerogels are promising candidates for thermal protection and structural applications; however, their practical implementation remains substantially constrained by the intrinsic trade–off between mechanical robustness and fire–resistant functionality.

Description

In this study, a mechanically robust, highly hydrophobic, and fire–resistant hybrid aerogel was developed using a green high–pressure homogenization process coupled with <i>in situ</i> polysiloxane cross-linking.

Through the construction of a rigid–flexible interpenetrating network, the resulting aerogel overcomes the inherent fragility associated with conventional physical entanglements while achieving an ultralow density of 4.62–9.48 mg cm<sup>–3</sup>, pronounced superelasticity (96.7% height recovery and 79% modulus retention after 100 cycles), and excellent fire resistance (LOI = 33). Notably, the aerogel exhibits remarkable structural and functional integrity following combustion because <i>in situ</i> ceramization converts the polysiloxane network into a thermally stable Si–O–Si/Si–C barrier, enabling retention of 92% of its compressive strength while preserving substantial surface hydrophobicity, as evidenced by a water contact angle of 132.7° even after direct flame exposure.

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To demonstrate its practical applicability to fire–prone oil–spill scenarios, the aerogel displays synergistic adsorption and flame–retardant performance in simulated burning oil spills, with a high absorption capacity of 60–180 g g<sup>–1</sup> and rapid self–extinguishing behavior (<30 s). These findings establish a versatile design strategy for engineering multifunctional aerogels that integrate mechanical resilience, fire safety, and post–combustion structural integrity.

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Provenance · 2 source records, 30 field assertions
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figshareoai:figshare.com:article/3396183310 d agoJSON v1
Loughborough Research Repositoryoai:figshare.com:article/339618339 d agoJSON v1
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