Robust Superhydrophobic rGO/PPy/PDMS Coatings on a Polyurethane Sponge for Underwater Pressure and Temperature Sensing.
Yimeng NiJianying HuangShuhui LiXiuli DongTianxue ZhuWeilong CaiZhong ChenYuekun LaiPublished in: ACS applied materials & interfaces (2021)
Flexible wearable pressure sensors have attracted great interest from researchers in recent years because of their important applications in human-machine interaction, human behavior detection, medical diagnosis, and other fields. At present, integrating multiple functions such as pressure and temperature sensing and self-cleaning into a single material remains a challenging task. Here, by in situ reduction of graphene oxide (GO) grown on a sponge surface and deposition of polypyrrole (PPy) nanoparticles, we have built a highly sensitive, stable, and multifunctional rGO/PPy/poly(dimethylsiloxane) (PDMS) polyurethane (PU) sponge (GPPS) sensor for the detection of pressure, water level, and temperature. This multifunctional sensor shows excellent pressure-sensing performance, ultrasensitive loading sensing of a leaf (98 mg), and outstanding reproducibility over 5000 cycles. Due to the stability of the superhydrophobic surface water contact angle (WCA) = 153.3°, our sensor can work in an underwater environment, which can sense water levels from 1 cm (∼98 Pa) to 40 cm and also a variety of underwater behaviors (knock, ultrasonication, blow, etc.) with high stability. In addition, the sensor can be integrated into a circuit for the water level and pressure detection. The sensor can also be used as a smart underwater-temperature sensor; it shows a linear temperature coefficient of resistance (TCR) of 0.48% °C-1 in a temperature range of 35-80 °C. This multifunctional sensor shows potential application prospects in wearable electronic devices for sensing.
Keyphrases
- endothelial cells
- drug delivery
- label free
- healthcare
- cancer therapy
- real time pcr
- heart rate
- loop mediated isothermal amplification
- immune response
- blood pressure
- magnetic resonance
- deep learning
- gold nanoparticles
- high resolution
- molecularly imprinted
- machine learning
- quantum dots
- climate change
- risk assessment
- regulatory t cells
- metal organic framework
- contrast enhanced
- pluripotent stem cells
- liquid chromatography
- tissue engineering