摩擦电效应
纳米发生器
材料科学
收缩性
信号(编程语言)
拉伤
生物医学工程
纳米技术
检出限
光电子学
内科学
医学
复合材料
心脏病学
压电
统计
计算机科学
程序设计语言
数学
作者
Hao Chen,Anqun Wang,Jun Chen,Weiguang Su,Xingyuan Xu,Jianbo Wang,Xiangdong Li,Meng Meng,Chao Li,Chonghai Xu,Li Wang
出处
期刊:Nano Energy
[Elsevier]
日期:2023-01-31
卷期号:109: 108251-108251
被引量:8
标识
DOI:10.1016/j.nanoen.2023.108251
摘要
Triboelectric nanogenerator (TENG) sensors have been widely developed for strain detection in health monitoring. However, current TENG sensors are insufficient to accurately detect the weak strain (< 1%) at the cellular scale (e.g. contraction of cardiomyocytes). Here, we propose a TENG-based strain sensor with a high signal-to-noise ratio (SNR) and stability to quantitatively measure the contractility of cardiomyocytes. 100,000 contact-separation cycles could be stably achieved under the strain of 16.9% (pneumatic pressure = 11 kPa), due to the effective separation of two friction layers between the micro-scale gap (8 µm). 50 µm-thickness friction layer with nano-cracks (average width = 48.1 ± 11.9 nm) lowered the strain detection limit to 0.025% with SNR of 12.1. During 11-day continuous monitoring of cardiomyocytes and drug treatment testings, the device demonstrated high SNR and stability to record the dynamic change caused by contractility of the cardiomyocytes. The flexible strain sensor based on TENG shows the potential of in cardiac pharmacological evaluation strategy.
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