期刊
ACS NANO
卷 15, 期 6, 页码 10347-10356出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.1c02567
关键词
MXene; graphene nanoribbon; hybridization; pressure sensor; machine learning; health-care monitoring
类别
资金
- National Creative Research Initiative (CRI) Center for Multi-Dimensional Directed Nanoscale Assembly [2015R1A3A2033061]
- Nanomaterial Technology Development Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT and Future Planning [NRF-2016M3A7B4905613]
- National Research Foundation of Korea (NRF) - Korea government (MSIT) [2019R1C1C100692813]
- Technology Innovation Program - Ministry of Trade, Industry & Energy(MOTIE, Korea) [20012389]
- KAIST
- Korea Evaluation Institute of Industrial Technology (KEIT) [20012389] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The hybridization of 2D Ti3C2Tx MXene with 1D nitrogen-doped graphene nanoribbon resulted in 1D/2D heterodimensional hybrids, allowing for successful integration of components with different geometrical dimensions.
Strong adhesion between conductive layers significantly reduced sensing hysteresis to 1.33% and enhanced sensing stability at high pressure, demonstrating the potential of large-area pressure sensor arrays for accurate posture monitoring on smart seat cushions.
Hybridization of low-dimensional components with diverse geometrical dimensions should offer an opportunity for the discovery of synergistic nanocomposite structures. In this regard, how to establish a reliable interfacial interaction is the key requirement for the successful integration of geometrically different components. Here, we present 1D/2D heterodimensional hybrids via dopant induced hybridization of 2D Ti3C2Tx MXene with 1D nitrogen-doped graphene nanoribbon. Edge abundant nanoribbon structures allow a high level nitrogen doping (similar to 6.8 at%), desirable for the strong coordination interaction with Ti3C2Tx MXene surface. For piezoresistive pressure sensor application, strong adhesion between the conductive layers and at the conductive layer/elastomer interface significantly diminishes the sensing hysteresis down to 1.33% and enhances the sensing stability up to 10 000 cycles at high pressure (100 kPa). Moreover, large-area pressure sensor array reveals a high potential for smart seat cushion-based posture monitoring application with high accuracy (>95%) by exploiting machine learning algorithm.
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