期刊
ANALYTICAL CHEMISTRY
卷 93, 期 16, 页码 6394-6402出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c05387
关键词
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资金
- 2020 Kwangwoon Research Grant
- Korea Medical Device Development Fund - Korea government (Ministry of Science and ICT) [202012D12]
- Korea Medical Device Development Fund - Korea government (Ministry of Trade, Industry and Energy) [202012D12]
- Korea Medical Device Development Fund - Korea government (Ministry of Health Welfare) [202012D12]
- Korea Medical Device Development Fund - Korea government (Ministry of Food and Drug Safety) [202012D12]
- Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) - Ministry of Health & Welfare, Republic of Korea [HU20C0414]
- Business for Startup growth and technological development (TIPS Program) - Korean Ministry of SMEs and Startups in 2020 [S3033064]
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2018R1D1A1B07050677]
- Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) - Ministry of Science and ICT, Republic of Korea [HU20C0414]
- Korea Technology & Information Promotion Agency for SMEs (TIPA) [S3033064] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
A fully automated optofluidic device was developed for enzyme-linked immunosorbent assay using a smartphone-based optical platform. The platform successfully monitored liquid movement in the reaction chamber by measuring changes in light intensity, achieving a low detection limit for human cardiac biomarker detection.
Herein, we have developed a fully automated optofluidic device to execute enzyme-linked immunosorbent assay (ELISA) using an active 96-well hybrid lab-on-a-chip (LOC) device. To automate the solution loading into the reaction zone of the device and the post-assayed signal analysis, laser irradiation-induced image whitening was utilized with a smartphone-based optical platform. Two optical phenomena were utilized in our platform to detect the liquid in the reaction chamber using a smartphone. First, by Fresnel's equation, the refraction difference between air and water resulted in the intensity change of the reflected light from the reaction chamber. Therefore, when the liquid was entering into the reaction chamber, the intensity of the reflected light was changed. Second, when the light intensity increases, the smartphone-captured image whitens out due to saturation, even when the red color light was incident. Therefore, by measuring the RGB value of the smartphone image, the intensity changes by the liquid movement in the reaction chamber were successfully monitored. Our platform showed a low detection limit of 7.81 pg/mL for the detection of the NT-proBNP human cardiac biomarker with almost a half standard deviation, compared to the manually operated LOC-based ELISA. As a fully automated LOC adopting a conventional 96-well ELISA platform, we thus concluded that the developed platform can be widely applied for point-of-care clinical tests.
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