Literature DB >> 28525851

A fully integrated distance readout ELISA-Chip for point-of-care testing with sample-in-answer-out capability.

Dan Liu1, Xingrui Li2, Junkai Zhou3, Shibo Liu2, Tian Tian2, Yanling Song2, Zhi Zhu2, Leiji Zhou2, Tianhai Ji4, Chaoyong Yang5.   

Abstract

Enzyme-linked immunosorbent assay (ELISA) is a popular laboratory technique for detection of disease-specific protein biomarkers with high specificity and sensitivity. However, ELISA requires labor-intensive and time-consuming procedures with skilled operators and spectroscopic instrumentation. Simplification of the procedures and miniaturization of the devices are crucial for ELISA-based point-of-care (POC) testing in resource-limited settings. Here, we present a fully integrated, instrument-free, low-cost and portable POC platform which integrates the process of ELISA and the distance readout into a single microfluidic chip. Based on manipulation using a permanent magnet, the process is initiated by moving magnetic beads with capture antibody through different aqueous phases containing ELISA reagents to form bead/antibody/antigen/antibody sandwich structure, and finally converts the molecular recognition signal into a highly sensitive distance readout for visual quantitative bioanalysis. Without additional equipment and complicated operations, our integrated ELISA-Chip with distance readout allows ultrasensitive quantitation of disease biomarkers within 2h. The ELISA-Chip method also showed high specificity, good precision and great accuracy. Furthermore, the ELISA-Chip system is highly applicable as a sandwich-based platform for the detection of a variety of protein biomarkers. With the advantages of visual analysis, easy operation, high sensitivity, and low cost, the integrated sample-in-answer-out ELISA-Chip with distance readout shows great potential for quantitative POCT in resource-limited settings.
Copyright © 2017. Published by Elsevier B.V.

Keywords:  Distance readout; ELISA; Microfluidics; Point-of-care testing

Mesh:

Substances:

Year:  2017        PMID: 28525851     DOI: 10.1016/j.bios.2017.04.044

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


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