NH2 functionalized MWCNT based self-healing conductive composite for smart sensing

[Display omitted] •A facile approach is proposed for the functionalization of MWCNT with –NH2 groups.•NH2 functionalized MWCNT provides improved electrical and mechanical properties.•NH2-MWCNT is embedded into polymer matrix to develop self-healing conductive composite.•The developed composite is se...

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Veröffentlicht in:Chemical engineering journal (Lausanne, Switzerland : 1996) Switzerland : 1996), 2024-04, Vol.485, p.149818, Article 149818
Hauptverfasser: Yeasmin, Rubaya, Thai Duy, Le, Seo, Hyungtak
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Sprache:eng
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Zusammenfassung:[Display omitted] •A facile approach is proposed for the functionalization of MWCNT with –NH2 groups.•NH2 functionalized MWCNT provides improved electrical and mechanical properties.•NH2-MWCNT is embedded into polymer matrix to develop self-healing conductive composite.•The developed composite is self-healing, stretchable (SHS) and highly conductive.•It is utilized for multimodal sensing in real-time strain & temperature detection. Amino (NH2) functionalized multi-walled carbon nanotubes (MWCNTs) provide superior electrical and mechanical properties, comes at high material cost. The objective of this study is to develop a low-cost, simple, and effective method of NH2-MWCNTs synthesis. To this objective, we have developed in-house NH2 functionalized MWCNTs by reacting with NH4OH using hydrothermal synthesis process. The synthesized NH2-MWCNTs is compared and found compatible to the commercially available one, which is then used to develop self-healing and stretchable (SHS) conductive composite by incorporating into the self-healing supramolecular polymer. The electro-mechanical and self-healing properties of the composite can be tuned by controlling the amount of NH2-MWCNTs loading into the polymer matrix. The optimized composite showed a maximum strength of 286.15 kPa at its maximum strain rate of 410 %, and a high electrical conductivity of 8.23 S cm−1. It is further utilized to demonstrate SHS strain sensor for biomechanical signal detection, which exhibits high sensitivity to human wrist’s flexion and extension. Furthermore, it exhibits a high sensitivity with average TCR value of −5.2 % ℃-1 in a wider temperature range (25–100 ℃). Considering the low-cost in-house synthesis approach as well as the developed sensors’ performances, this study will put a paradigm shift within this research field.
ISSN:1385-8947
DOI:10.1016/j.cej.2024.149818