Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Coimbatore 641407, India.
Department of ECE, Centre for IoT and AI (CITI), KPR Institute of Engineering and Technology, Coimbatore 641407, India.
Sensors (Basel). 2023 Jan 26;23(3):1373. doi: 10.3390/s23031373.
The continuous real-time monitoring of human health using biomedical sensing devices has recently become a promising approach to the realization of distant health monitoring. In this paper, the piezoelectric characteristics of the silk fibroin (SF) natural polymer were analyzed as the material used for obtaining sensing information in the application of distance health monitoring. To enhance the SF piezoelectricity, this paper presents the development of a novel SF-based sensor realized by combining SF with different carbon nanofiber (CNF) densities, and for such newly developed SF-based sensors comprehensive performance analyses have been performed. Versatile methods including the scanning electron microscope, Fourier transform infrared spectroscopy, Raman and X-ray diffraction measurements and impedance analysis were used to study the morphologic, mechanical and electrical properties of the developed SF-based sensor. The SF with CNF samples was analyzed for three different pressure loads (40 N, 60 N and 80 N) in 500 compression test cycles. The analyses thoroughly describe how combining natural polymer SF with different CNF densities impacts the piezoelectricity and mechanical strength of the proposed SF-based sensor. The developed piezoelectric SF-based sensors were further tested on humans in real medical applications to detect generated piezoelectric voltage in versatile body movements. The maximum piezoelectricity equal to 2.95 ± 0.03 V was achieved for the jumping movement, and the SF sample with a CNF density equal to 0.4% was tested. Obtained results also show that the proposed SF-based sensor has an appropriate piezoelectric sensitivity for each of the analyzed body movement types, and that the proposed SF-based sensor can be applied in real medical applications as a biomedical sensing device. The proposed SF-based sensor's practical implementation is further confirmed by the results of cytotoxicity analyses, which show that the developed sensor has a non-toxic and biocompatible nature and can be efficiently used in skin contact for biomedical wearable health monitoring applications.
利用生物医学传感设备对人体健康进行连续实时监测,最近已成为实现远程健康监测的一种很有前途的方法。本文分析了丝素(SF)天然聚合物的压电特性,将其作为在远程健康监测应用中获取传感信息的材料。为了增强 SF 的压电性能,本文提出了一种通过将 SF 与不同碳纤维(CNF)密度相结合来实现的新型 SF 基传感器的开发,并对这种新开发的 SF 基传感器进行了全面的性能分析。本文采用多种方法,包括扫描电子显微镜、傅里叶变换红外光谱、拉曼和 X 射线衍射测量以及阻抗分析,研究了所开发的 SF 基传感器的形态、机械和电气性能。对 SF 与 CNF 样品进行了分析,研究了三种不同压力负载(40N、60N 和 80N)在 500 次压缩测试循环中的情况。分析彻底描述了将天然聚合物 SF 与不同 CNF 密度结合如何影响所提出的 SF 基传感器的压电性和机械强度。进一步将所开发的压电 SF 基传感器应用于人体,在实际医疗应用中检测各种身体运动产生的压电电压。在跳跃运动中,实现了最大压电值 2.95±0.03V,测试的 SF 样品 CNF 密度为 0.4%。获得的结果还表明,所提出的 SF 基传感器对分析的每种身体运动类型都具有适当的压电灵敏度,并且所提出的 SF 基传感器可以作为生物医学传感设备应用于实际医疗应用中。细胞毒性分析的结果进一步证实了所提出的 SF 基传感器的实际实现,结果表明所开发的传感器具有无毒和生物相容性,可以有效地用于皮肤接触的生物医学可穿戴健康监测应用。