Hoang Thi Xoan, Phan Le Minh Tu, Vo Thuy Anh Thu, Cho Sungbo
Department of Life Science, Gachon University, Seongnam 13120, Gyeonggi-do, Korea.
Department of Electronic Engineering, Gachon University, Seongnam 13120, Gyeonggi-do, Korea.
Biomedicines. 2021 May 12;9(5):540. doi: 10.3390/biomedicines9050540.
Paper-based analytical devices (PADs) have emerged as a promising approach to point-of-care (POC) detection applications in biomedical and clinical diagnosis owing to their advantages, including cost-effectiveness, ease of use, and rapid responses as well as for being equipment-free, disposable, and user-friendly. However, the overall sensitivity of PADs still remains weak, posing a challenge for biosensing scientists exploiting them in clinical applications. This review comprehensively summarizes the current applicable potential of PADs, focusing on total signal-amplification strategies that have been applied widely in PADs involving colorimetry, luminescence, surface-enhanced Raman scattering, photoacoustic, photothermal, and photoelectrochemical methods as well as nucleic acid-mediated PAD modifications. The advances in signal-amplification strategies in terms of signal-enhancing principles, sensitivity, and time reactions are discussed in detail to provide an overview of these approaches to using PADs in biosensing applications. Furthermore, a comparison of these methods summarizes the potential for scientists to develop superior PADs. This review serves as a useful inside look at the current progress and prospective directions in using PADs for clinical diagnostics and provides a better source of reference for further investigations, as well as innovations, in the POC diagnostics field.
基于纸的分析装置（PADs）因其具有成本效益、使用方便、响应迅速以及无需设备、可一次性使用且用户友好等优点，已成为生物医学和临床诊断中即时检测（POC）应用的一种有前景的方法。然而，PADs的整体灵敏度仍然较弱，这给在临床应用中利用它们的生物传感科学家带来了挑战。本综述全面总结了PADs目前的适用潜力，重点关注已在PADs中广泛应用的总信号放大策略，包括比色法、发光法、表面增强拉曼散射法、光声法、光热法和光电化学法以及核酸介导的PAD修饰。详细讨论了信号放大策略在信号增强原理、灵敏度和时间反应方面的进展，以概述这些在生物传感应用中使用PADs的方法。此外，对这些方法的比较总结了科学家开发更优质PADs的潜力。本综述有助于深入了解使用PADs进行临床诊断的当前进展和未来方向，并为即时诊断领域的进一步研究和创新提供更好的参考来源。
