Amity Institute of Biotechnology, Amity University Maharashtra, Mumbai-Pune Expressway, Bhatan, Panvel, Mumbai, Maharashtra, 410206, India.
Amity Institute of Biotechnology, Amity University Maharashtra, Mumbai-Pune Expressway, Bhatan, Panvel, Mumbai, Maharashtra, 410206, India; Centre for Computational Biology and Translational Research, Amity Institute of Biotechnology, Amity University Maharashtra, Mumbai-Pune Expressway, Bhatan, Panvel, Mumbai, Maharashtra, 410206, India.
Prog Biophys Mol Biol. 2023 Jul-Aug;180-181:120-130. doi: 10.1016/j.pbiomolbio.2023.05.002. Epub 2023 May 8.
The widespread usage of smartphones has made accessing vast troves of data easier for everyone. Smartphones are powerful, handy, and easy to operate, making them a valuable tool for improving public health through diagnostics. When combined with other devices and sensors, smartphones have shown potential for detecting, visualizing, collecting, and transferring data, enabling rapid disease diagnosis. In resource-limited settings, the user-friendly operating system of smartphones allows them to function as a point-of-care platform for healthcare and disease diagnosis. Herein, we critically reviewed the smartphone-based biosensors for the diagnosis and detection of diseases caused by infectious human pathogens, such as deadly viruses, bacteria, and fungi. These biosensors use several analytical sensing methods, including microscopic imaging, instrumental interface, colorimetric, fluorescence, and electrochemical biosensors. We have discussed the diverse diagnosis strategies and analytical performances of smartphone-based detection systems in identifying infectious human pathogens, along with future perspectives.
智能手机的广泛应用使得每个人都更容易获取大量数据。智能手机功能强大、使用方便、易于操作，是通过诊断来改善公共卫生的有价值工具。智能手机与其他设备和传感器结合使用时，具有检测、可视化、收集和传输数据的潜力，从而实现快速疾病诊断。在资源有限的环境中，智能手机用户友好的操作系统使其能够作为医疗保健和疾病诊断的即时护理平台。在此，我们批判性地回顾了基于智能手机的用于诊断和检测由传染性人类病原体引起的疾病的生物传感器，例如致命病毒、细菌和真菌。这些生物传感器使用几种分析传感方法，包括显微镜成像、仪器接口、比色法、荧光法和电化学生物传感器。我们讨论了基于智能手机的检测系统在识别传染性人类病原体方面的多样化诊断策略和分析性能，以及未来展望。
