Temperature recognition piezoresistive pressure sensor based on rGO/MWCNTs/@PAN
摘要
Piezoresistive wearable electronic devices have great potential in fields such as health detection and human-computer interaction, but traditional devices often fail to recognize pressure changes while maintaining high sensitivity to temperature. In this study, we propose a temperature-recognized piezoresistive pressure sensor based on rGO/MWCNTs@PAN composite film, the strain layer of this sensor is synthesized through electrospinning, the substrate was a high-carbon low-polymer mixture of dimethylformamide (DMF), polyacrylonitrile (PAN), and doped with an excess of multiwalled carbon nanotubes (MWCNTs, 0.6 g), in a high MWCNTs environment, the material as a whole is strengthened, with a more resilient structure. Meanwhile, its unique tubular structure provides a conductive path for the reaction and offers support. Embedding PVA on the substrate surface enhances overall stability and is coated with rGO, under this high-carbon condition, the electrical conductivity is enhanced, making it sensitive to pressure while responding more precisely to temperature changes. Moreover, with the combination of rGO and MWCNTs, the original flexibility can be maintained. The sensitivities of the devices prepared by this method within the ranges of 0–18 kPa, 18–85 kPa and 85–140 kPa are 174.3 kPa− 1, 32.2 kPa− 1 and 23.5 kPa− 1 respectively, it maintains a high sensitivity to pressure. In addition, the sensor also demonstrated a low detection limit (0.5 Pa), a fast response (200 ms), and maintained a 91% cycle retention rate after 5,000 cycles, and it can accurately identify the temperature within the range of 40 to 70℃. Based on these characteristics, this piezoresistive pressure sensor with temperature recognition can detect in real time a richer range of human health movement indicators, such as finger bending, elbow movement and knee bending, etc. This study indicates that this pressure-temperature sensor has broad application prospects in health monitoring.