Xue Cuili, Zhang Yuna, Liu Bin, Gao Shan, Yang Hao, Li Peng, Hoa Nguyen Duc, Xu Yuli, Zhang Zhenghu, Niu Jiaqi, Liao Xinmei, Cui Daxiang, Jin Han
Institute of Micro-Nano Science and Technology, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China.
State Key Laboratory of Pathogen and Biosecurity, Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing 100071, China.
ACS Sens. 2022 May 27;7(5):1581-1592. doi: 10.1021/acssensors.2c00603. Epub 2022 May 10.
Gas sensor-embedded smartphones would offer the opportunity of on-site tracking of gas molecules for various applications, for example, harmful air pollutant alarms or noninvasive assessment of health status. Nevertheless, high power consumption and difficulty in replacing malfunctioned sensors as well as limited space in the smartphone to host the sensor restrain the relevant advancements. In this article, we create a smartphone case-based sensing platform by integrating the functional units into a smartphone case, which performs a low detection limit of 117 ppb to acetone and high specificity. Particularly, dimming glass-regulated light fidelity (Li-Fi) communication is successfully developed, allowing the sensing platform to operate with relatively low power consumption (around 217 mW). Experimental proof on harmful gas sensing and potential clinic application is implemented with the sensing platform, demonstrating satisfactory sensing performance and acceptable health risk pre-warning accuracy (87%). Thus, the developed smartphone case-based sensing platform would be a good candidate for realizing harmful gas alarms and noninvasive assessment of health status.
嵌入气体传感器的智能手机将为各种应用提供现场跟踪气体分子的机会,例如,有害空气污染物警报或健康状况的无创评估。然而,高功耗、更换故障传感器的困难以及智能手机中容纳传感器的空间有限,限制了相关进展。在本文中,我们通过将功能单元集成到智能手机壳中,创建了一个基于智能手机壳的传感平台,该平台对丙酮的检测下限低至117 ppb,且具有高特异性。特别地,成功开发了由调光玻璃调节的光保真度(Li-Fi)通信,使传感平台能够以相对较低的功耗(约217 mW)运行。利用该传感平台进行了有害气体传感的实验验证和潜在的临床应用,展示了令人满意的传感性能和可接受的健康风险预警准确率(87%)。因此,所开发的基于智能手机壳的传感平台将是实现有害气体警报和健康状况无创评估的理想选择。