The increasing demand for flexible sensors in healthcare has led to advancements in nanomaterial-polymer composite sensors, but existing pressure sensors often struggle with low sensitivity due to poor interactions between the filler and polymer matrix. This study demonstrates that MXene can enhance the sensitivity of a piezoresistive sensor made from a surface-functionalized PDMS sponge. By using plasma treatment, the researchers created a MXene-FPDMS (MFP) sponge with high mechanical strength and significant sensitivity (14.2 kPa⁻¹) while maintaining a low modulus (9.7 kPa), essential for detecting ultra-low pressures. The MFP sponge sensor, when combined with deep learning algorithms, accurately classifies pronunciations of 26 letters and various expressions, achieving an average accuracy of 94 ± 0.6%. This work has potential implications for developing intelligent wearable platforms.
For more info, DOI: https://doi.org/10.1016/j.cej.2024.149659
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