Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 10, Issue 1, Pages 1067-1076Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.7b14048
Keywords
piezoresistivity; biomaterials; carbon nanotubes; health monitoring; human machine interfaces
Funding
- Small and Medium Business Administration of Korea [2MP0390, S2272818]
- Korea Institute of Science and Technology (KIST) [2V05500, 2E27140]
- Korea Technology & Information Promotion Agency for SMEs (TIPA) [S2272818] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Flexible piezoresistive sensors have huge potential for health monitoring, human-machine interfaces, prosthetic limbs, and intelligent robotics. A variety of nanomaterials and structural schemes have been proposed for realizing ultrasensitive flexible piezoresistive sensors. However, despite the success of recent efforts, high sensitivity within narrower pressure ranges and/or the challenging adhesion and stability issues still potentially limit their broad applications. Herein, we introduce a biomaterial-based scheme for the development of flexible pressure sensors that are ultrasensitive (resistance change by 5 orders) over a broad pressure range of 0.1-100 kPa, promptly responsive (20 ms), and yet highly stable. We show that employing biomaterial-incorporated conductive networks of single-walled carbon nanotubes as interfacial layers of contact-based resistive pressure sensors significantly enhances piezoresistive response via effective modulation of the interlayer resistance and provides stable interfaces for the pressure sensors. The developed flexible sensor is capable of real-time monitoring of wrist pulse waves under external medium pressure levels and providing pressure profiles applied by a thumb and a forefinger during object manipulation at a low voltage (1 V) and power consumption (<12 mu W). This work provides a new insight into the material candidates and approaches for the development of wearable health-monitoring and human-machine interfaces.
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