Instituto de Desarrollo Tecnológico para la Industria Química (INTEC, UNL-CONICET), Colectora RN 168, S3000GLN, Santa Fe, Argentina.
Centro de Investigación de Métodos Computacionales (CIMEC, UNL-CONICET), Colectora RN 168, S3000GLN, Santa Fe, Argentina.
Sci Rep. 2022 May 27;12(1):8969. doi: 10.1038/s41598-022-13099-z.
The integration of smartphones and microfluidics is nowadays the best possible route to achieve effective point-of-need testing (PONT), a concept increasingly demanded in the fields of human health, agriculture, food safety, and environmental monitoring. Nevertheless, efforts are still required to integrally seize all the advantages of smartphones, as well as to share the developments in easily adoptable formats. For this purpose, here we present the free platform appuente that was designed for the easy integration of microfluidic chips, smartphones, and the cloud. It includes a mobile app for end users, which provides chip identification and tracking, guidance and control, processing, smart-imaging, result reporting and cloud and Internet of Things (IoT) integration. The platform also includes a web app for PONT developers, to easily customize their mobile apps and manage the data of administered tests. Three application examples were used to validate appuente: a dummy grayscale detector that mimics quantitative colorimetric tests, a root elongation assay for pesticide toxicity assessment, and a lateral flow immunoassay for leptospirosis detection. The platform openly offers fast prototyping of smartphone apps to the wide community of lab-on-a-chip developers, and also serves as a friendly framework for new techniques, IoT integration and further capabilities. Exploiting these advantages will certainly help to enlarge the use of PONT with real-time connectivity in the near future.
如今,将智能手机和微流控技术集成在一起是实现即时检测(PONT)的最佳途径,这一概念在人类健康、农业、食品安全和环境监测等领域的需求日益增长。然而,仍需要努力全面利用智能手机的所有优势,并以易于采用的格式共享发展成果。为此,我们在这里展示了免费的平台 appuente,该平台旨在轻松集成微流控芯片、智能手机和云。它包括一个面向最终用户的移动应用程序,该应用程序提供芯片识别和跟踪、指导和控制、处理、智能成像、结果报告以及云和物联网(IoT)集成。该平台还包括一个面向 PONT 开发人员的网络应用程序,用于轻松定制他们的移动应用程序并管理管理测试的数据。使用了三个应用示例来验证 appuente:一个模拟定量比色测试的虚拟灰度探测器、用于评估农药毒性的根伸长测定和用于检测钩端螺旋体病的侧向流动免疫测定。该平台向广泛的芯片实验室开发人员社区提供快速原型制作智能手机应用程序的机会,并且还为新技术、物联网集成和其他功能提供了友好的框架。利用这些优势肯定会有助于在不久的将来扩大即时连接的 PONT 的使用。