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Abstract
Paper-based immunoassays are effective methods that employ microfluidic paper-based analytical devices (μPADs) for the rapid, simple, and accurate quantification of analytes in point-of-care diagnosis. In this study, we developed a wax-printed multilayered μPAD for the colorimetric detection of carcinoembryonic antigen (CEA), where the device contained a movable and rotatable detection layer to allow the μPAD to switch the state of the sample solutions, i.e., flowing or storing in the sensing zones. A smartphone with a custom-developed program served as an automated colorimetric reader to capture and analyze images from the μPAD, before calculating and displaying the test results. After optimizing the crucial conditions for the assay, the proposed method exhibited a wide linear dynamic range from 0.5 to 70 ng/mL, with a low CEA detection limit of 0.015 ng/mL. The clinical performance of this method was successfully validated using 50 positive and 40 negative human serum samples, thereby demonstrating the high sensitivity of 98.0% and specificity of 97.5% in the detection of CEA. The proposed method is greatly simplified compared with the cumbersome steps required for traditional immunoassays, but without any loss of accuracy and stability, as well as reducing the time needed to detect CEA. Complex and bulky instruments are replaced with a smartphone. The proposed detection platform could potentially be applied in point-of-care testing.
Details
; Yang Jinchuan 1 ; Xu, Hao 2 ; Cao, Bo 1 ; Qin Qi 1 ; Liao Xinmei 1 ; Wo, Yan 3 ; Jin Qinghui 4 ; Cui Daxiang 1 1 Shanghai Jiao Tong University, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
2 Shanghai Jiao Tong University, School of Naval Architecture, Ocean & Civil Engineering, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
3 Shanghai Jiao Tong University, Department of Plastic and Reconstructive Surgery, Shanghai Ninth People’s Hospital, School of Medicine, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
4 Chinese Academy of Sciences, State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Shanghai, China (GRID:grid.9227.e) (ISNI:0000000119573309); Ningbo University, Faculty of Electrical Engineering and Computer Science, Ningbo, China (GRID:grid.203507.3) (ISNI:0000 0000 8950 5267)





