Scalable and Multifunctional PAN?MXene Composite Fibers for Thermal Management, Photothermal Conversion, Energy Harvesting, and Sensing for Wearable Applications

Electrospun PAN?MXene nanofibers and yarns integrate enhanced thermal conductivity, photothermal conversion, and triboelectric energy harvesting within a flexible architecture. Interconnected MXene networks promote efficient phonon transport, while their surface chemistry strengthens tribo?negative behavior, enabling a high power density of 432.7 mW m?2 and a sensitive tactile response for multifunctional smart textile applications.ABSTRACTDeveloping multifunctional materials that combine efficient heat conduction, energy harvesting, sensing capability, and flexibility is crucial for next?generation portable and wearable electronics. Here, exploiting the remarkable properties of Ti3C2Tx MXene nanosheets, multifunctional polyacrylonitrile (PAN)?MXene nanofibers and yarns are fabricated via a straightforward and scalable electrospinning process. Incorporation of MXenes enhances the thermal conductivity of individual PAN nanofibers, as measured by scanning thermal microscopy, and greatly increases the heat conduction capacity of composite yarns, showing a ?22°C higher surface temperature recorded by infrared thermography. The composite nanofibers also exhibit strong passive heating capability, rapidly reaching up to 60°C under infrared irradiation. Furthermore, MXenes elevate the tribo?negative character of PAN nanofibers, decreasing their surface potential to ?360 mV and yielding a high triboelectric power density of 432.7 mW m?2, approximately 25% higher than pristine PAN. Moreover, the produced composite yarns demonstrate reliable tactile?sensing performance, detecting forces as low as 0.1 N. Altogether, these flexible and durable PAN?MXene structures provide a promising route toward sustainable and energy?autonomous electronic textiles, offering new opportunities in wearable electronics, soft robotics, and smart sensing systems.

» Publication Date: 30/12/2025

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737


                   




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