Two-stage amplification of an ultrasensitive MXene-based intelligent artificial eardrum.

ABSTRACT: We report an artificial eardrum using an acoustic sensor based on two-dimensional MXene (Ti₃C₂Tx), which mimics the function of a human eardrum for realizing voice detection and recognition. Using MXene with a large interlayer distance and micropyramid polydimethylsiloxane arrays can enable a two-stage amplification of pressure and acoustic sensing. The MXene artificial eardrum shows an extremely high sensitivity of 62 kPa^-1 and a very low detection limit of 0.1 Pa. Notably, benefiting from the ultrasensitive MXene eardrum, the machine-learning algorithm for real-time voice classification can be realized with high accuracy. The 280 voice signals are successfully classified for seven categories, and a high accuracy of 96.4 and 95% can be achieved by t

SUBMITTER: Gou GY 

PROVIDER: S-EPMC8967234 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature