Dengue is one of the most rapidly spreading mosquito-borne viral diseases in the world. Differential diagnosis is a crucial step for the management of the disease and its epidemiology. Point-of-care testing of blood-borne dengue biomarkers provides an advantageous approach in many health care settings, and the ability to follow more than one biomarker at once could significantly improve the management of the disease. Bead-based multiplex technologies (suspension array) can measure multiple biomarker targets simultaneously by using recognition molecules immobilized on microsphere beads. The overarching objective of our work is to develop a portable detection device for the simultaneous measurement of multiple biomarkers important in dengue diagnosis, monitoring and treatment. Here, we present a bead-based assay for the detection of one of the four serotypes of dengue virus non-structural protein (DENV-NS1) as well as its cognate human IgG. In this system, the fluorescent microspheres containing the classification fluorophore and detection fluorophore are imaged through a microfluidic chip using an infinity-corrected microscope system. Calibration curves were plotted for median fluorescence intensity against known concentrations of DENV-NS1 protein and anti-NS1 human IgG. The limit of quantitation was 7.8 ng/mL and 15.6 ng/mL, respectively. The results of this study demonstrate the feasibility of the multiplex detection of dengue biomarkers and present its analytical performance parameters. The proposed imaging device holds potential for point-of-care testing of biomarkers on a highly portable system, and it may facilitate the diagnosis and prevention of dengue as well as other infectious diseases.

Centre for Nano Science and Engineering Indian Institute of Science Bengaluru Karnataka India

Department of Electrical and Computer Engineering University of Toronto ON Canada

DIANA Biotechnologies s r o Vestec 252 50 Czech Republic

Donnelly Centre and Department of Medical Genetics University of Toronto ON Canada

Electrical and Computer Engineering Department University of California at Los Angeles Los Angeles CA 90095 USA

Lawrence S Bloomberg Faculty of Nursing University of Toronto ON Canada

TCS Research and Innovation Tata Consultancy Services Bengaluru Karnataka India

Thinkari Research Inc Mississauga ON Canada

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