A paper-based microfluidic Dot-ELISA system with smartphone for the detection of influenza A

Microfluidics and Nanofluidics - Tập 21 - Trang 1-9 - 2017
Di Wu1, Junhui Zhang1, Feihai Xu2, Xin Wen3, Pengfei Li1, Xiaolei Zhang3, Shan Qiao3, Shengxiang Ge4, Ningshao Xia4, Shizhi Qian5, Xianbo Qiu1
1Institute of Microfluidic Chip Development in Biomedical Engineering, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
2Xiamen Innodx Biotech Co. Ltd., Xiamen, China
3Beijing Wantai Biological Pharmacy Enterprise Co., Ltd., Beijing, China
4National Institute of Diagnostics and Vaccine Development in infectious diseases, School of Public Health, Xiamen University, Xiamen, China
5Institute of Micro/Nanotechnology, Old Dominion University, Norfolk, USA

Tóm tắt

An automated, portable, and integrated paper-based microfluidic system has been developed for influenza A detection with smartphone at point-of-care (POC) settings. The low-cost paper-based microfluidic chip consists of a reagent storage and reaction modules. The storage module, which consists of a couple of reagent chambers with dispensation channels, is responsible for reagent storage and release. The reaction module consists of an absorbent pad and a nitrocellulose (NC) membrane which is functionalized with specific monoclonal antibodies on a test and control spots for immunoassay detection. Microfluidic Dot-ELISA is performed when the dispensed reagent flows through the NC membrane at a controllable speed and reaches the absorbent pad because of the gravity and capillary force without active pumping. A smartphone is used to capture image from the NC membrane with its own camera and process the image with an intelligent algorithm of custom application software which is developed with Java. With a smartphone, the detection result can be displayed and transmitted to other medical agencies if necessary. Experimental results show that, compared with the traditional methods, more convenient and efficient influenza A detection can be achieved with the developed paper-based POC microfluidic chip with the assistance of smartphone.

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