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Paper-based Microfluidic Devices for the Analysis of Various Pathogens from Diverse Samples
Current Analytical Chemistry ( IF 1.8 ) Pub Date : 2024-03-14 , DOI: 10.2174/0115734110292458240306055653
Namita Ashish Singh 1 , Nitish Rai 2 , Ashish Kumar Singh 3 , Vidhi Jain 1 , Jagriti Narang 4
Affiliation  

: In today’s era, detection of disease is utmost important for the management of disease. Early detection leads to early management of disease. Paper-based microfluidic devices are promising technologies that are cost-effective, portable and easy to use over conventional methods. In addition, paper-based microfluidics offers low reagent/sample volume, less response time and can be used in resource-limited settings. Researchers are highly fascinated by this technology as it has a lot of potential to convert into commercial monitoring devices. The present article covers the uses of paper-based microfluidic technology for the swift and sensitive detection of pathogens from diverse samples, viz. food, water and blood. In this comprehensive review, paper-based microfluidic devices are introduced, including the basic concepts, current status and applications, along with the discussion of the limitations of microfluidics for the detection of pathogens. Although paper-based microfluidic devices are being developed, their commercialization requires simplification of manufacturing processes, reduction in production costs as well as an increase in production efficiency. Nonetheless, the integration of artificial intelligence (AI) and the Internet of Things (IoT) like smartphones, digital cameras, webcam etc. with paper-associated diagnosis has transformed the point-of-care (POC) diagnostics.

中文翻译:

用于分析不同样品中的各种病原体的纸基微流体装置

:在当今时代,疾病检测对于疾病管理至关重要。早期发现可以早期治疗疾病。纸基微流体装置是一种很有前途的技术,与传统方法相比,它具有成本效益、便携且易于使用。此外,纸基微流体提供低试剂/样品体积、更短的响应时间,并且可以在资源有限的环境中使用。研究人员对这项技术非常着迷,因为它具有转化为商业监控设备的巨大潜力。本文介绍了纸基微流体技术的用途,用于快速、灵敏地检测不同样本中的病原体,即。食物、水和血液。在这篇综合综述中,介绍了纸基微流控装置,包括基本概念、现状和应用,并讨论了微流控检测病原体的局限性。尽管纸基微流控装置正在开发中,但其商业化需要简化制造工艺、降低生产成本并提高生产效率。尽管如此,人工智能 (AI) 和智能手机、数码相机、网络摄像头等物联网 (IoT) 与纸质诊断的集成已经改变了即时诊断 (POC)。
更新日期:2024-03-14
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