School of Information Engineering, Minzu University of China, Beijing 100081, China.
State Key Laboratory for Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Sensors (Basel). 2017 Oct 25;17(11):2449. doi: 10.3390/s17112449.
With a rapid improvement of smartphone hardware and software, especially complementary metal oxide semiconductor (CMOS) cameras, many optical biosensors based on smartphone platforms have been presented, which have pushed the development of the point-of-care testing (POCT). Imaging-based and spectrometry-based detection techniques have been widely explored via different approaches. Combined with the smartphone, imaging-based and spectrometry-based methods are currently used to investigate a wide range of molecular properties in chemical and biological science for biosensing and diagnostics. Imaging techniques based on smartphone-based microscopes are utilized to capture microscale analysts, while spectrometry-based techniques are used to probe reactions or changes of molecules. Here, we critically review the most recent progress in imaging-based and spectrometry-based smartphone-integrated platforms that have been developed for chemical experiments and biological diagnosis. We focus on the analytical performance and the complexity for implementation of the platforms.
随着智能手机硬件和软件的快速发展,特别是互补金属氧化物半导体(CMOS)相机的发展,许多基于智能手机平台的光学生物传感器已经被提出,这推动了即时检测(POCT)的发展。通过不同的方法,已经广泛探索了基于成像和基于光谱的检测技术。结合智能手机,基于成像和基于光谱的方法目前用于研究化学和生物学中广泛的分子性质,用于生物传感和诊断。基于智能手机显微镜的成像技术用于捕获微观分析物,而基于光谱的技术用于探测分子的反应或变化。在这里,我们批判性地回顾了为化学实验和生物诊断而开发的基于成像和基于光谱的智能手机集成平台的最新进展。我们专注于平台的分析性能和实现的复杂性。