| Citation: |
SHI Feifei, XIONG Juan, DAN Zhigang. High sensitivity flexible piezoresistive sensor of PDMS porous elastomer decorated by MXene-PEDOT:PSS[J]. Acta Materiae Compositae Sinica, 2024, 41(10): 5443-5449. DOI: 10.13801/j.cnki.fhclxb.20240009.001
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Flexible piezoresistive sensors have great application demands in wearable devices, electronic skins, human-computer interaction, and other fields. Currently, the commonly used conductive sensitive media for flexible piezoresistive sensors include metal nanomaterials and carbon based sensitive materials. Due to their high cost and complex preparation processes, their practical application and mass production in industrial robots, medical devices, and other fields are limited. The MXene-PEDOT: PSS/PDMS composite piezoresistive sensor prepared in this article has the characteristics of simple synthesis method and high sensitivity, which is suitable for flexible wearable electronic devices and human-computer interaction fields.
Porous PDMS elastomer was prepared using gelatin as a sacrificial agent. MXene and PEDOT: PSS were used as conductive sensitive materials. By optimizing the concentrations of MXene and PEDOT: PSS, a highly sensitive MXene-PEDOT:PSS/PDMS composite piezoresistive sensor was obtained. Structural analysis of composite porous elastomers using D8 Advance X-ray diffractometer. A Keithley digital source meter and a rotary push-pull tester were used to test the pressure sensitivity characteristics of the flexible piezoresistive sensor. Connect the Keithley 2611 source meter, DC power supply, and sensor wires in series to form a loop. Under a fixed DC voltage (5 V) output, Keithley 2611 source meter was used to record the current change rate of the sensor under different pressures on the sample.
1.PEDOT:PSS thin films exhibit a wrinkled structure on the porous inner wall of PDMS and MXene is attached as a layered thin film on the inner wall of PDMS for MXene-PEDOT:PSS/PDMS composite elastomers. 2.When the concentration of PEDOT:PSS is 15 mg/mL, the PEDOT: PSS/PDMS sensor has the best piezoresistive sensitivity performance, and the sensitivity of the sensor reaches its maximum value in three linear intervals. In the range of 0-12 kPa, the sensitivity of the sensor is 10.20 kPa. In the range of 12-40 kPa and 40-56 kPa, the sensitivity of the piezoresistive sensor is 6.96 kPa and 3.73 kPa, respectively. 3. When the loading concentration of MXene is 10 mg/mL, the sensor has the highest sensitivity in all three ranges. The sensitivity of the sensor is 14.4 kPa in the range of 0~12 kPa. In the range of 12~40 kPa, the sensitivity is the highest, reaching 29.1 kPa. 4. MXene-PEDOT:PSS/PDMS sensors have stable I-V curves and current response characteristics. The response/recovery times of the sensor to external forces are 0.36 s and 0.6 s, respectively. 5. When fix the MXene-PEDOT:PSS/PDMS sensor at the knee. The current change rate of the sensor is about 50 when walking, 450 when running, and 570 when jumping.Conclusions: Porous PDMS elastomer was obtained by using gelatin as a sacrificial agent. And then MXene-PEDOT:PSS/PDMS flexible piezoresistive sensor was prepared by impregnation. The effect of PEDOT: PSS and MXene composite concentrations on the sensitivity of piezoresistive sensors were analyzed. When the PEDOT:PSS composite concentration is 15 mg/mL and the MXene composite concentration is 10 mg/mL, the sensitivity of the sensor reaches its maximum value. Within the three ranges of 0-12 kPa, 12-40 kPa, and 40-56 kPa, the sensitivity of the sensor is 14.4 kPa, 29.1 kPa, and 20.3 kPa, respectively. The sensor has a fast response speed with response/recovery times of 0.36 s and 0.6 s, respectively. When fixing the MXene-PEDOT:PSS/PDMS piezoresistive sensor on the finger, elbow, and knee joints to test the current change rate of the sensor at different angles of human joint bending. The results showed that the sensor exhibited good current response characteristics to joint motion, indicating that the sensor has good application prospects in flexible wearable devices, human-computer interaction, and other fields.
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