文献类型：期刊文献

英文题名：Integrated Digital Microfluidic Platform for Colorimetric Sensing of Nitrite

作者：Gu, Zhen[1];Wu, Ming-Lei[1];Yan, Bing-Yong[1];Wang, Hui-Feng[1];Kong, Cong[2,3]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Acad Forens Sci, Shanghai Key Lab Forens Med, Shanghai 200063, Peoples R China;[3]Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Minist Agr & Rural Affairs, Key Lab East China Sea Fishery Resources Exploita, Shanghai 200090, Peoples R China

年份：2020

卷号：5

期号：19

起止页码：11196

外文期刊名：ACS OMEGA

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000537145000063)】；

基金：This research was funded by the National Natural Science Foundation of China (31701698) and the Shanghai Key Laboratory of Forensic Medicine (Academy of Forensic Science, KF1910).

语种：英文

摘要：In this paper, a palm-size digital microfluidic (DMF) platform integrated with colorimetric analysis was developed for quantifying the concentration of nitrite. To realize the on-chip repeatable colorimetric analysis, a novel printed circuit board (PCB)-based DMF chip was designed with an embedded aperture on the actuator electrode, forming a vertical light path for online measurement of the droplets. The capabilities of the DMF platform enable automatic manipulation of microliter-level droplets to implement Griess assay without the use of external systems such as syringe, pump, or valve, which provides the benefits including high flexibility, portability, miniature size, and low cost. Results indicated the characteristics of good linearity (R-2 = 0.9974), the ignorable crosstalk for reusability, and the limit of detection (LOD) of nitrite as low as 5 mu g/L. Furthermore, the presented platform was successfully applied to determine nitrite levels in food products with reliable results and satisfactory recoveries. This integrated DMF platform can be a promising new tool for a wide range of applications involving step-by-step solution mixing and optical detection in environmental monitoring, food safety analysis, and point-of-care testing.