Detection of dengue NS1 antigen using long-range surface plasmon waveguides.

Autor: Wong WR; Integrated Lightwave Research Group, Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia., Sekaran SD; Department of Medical Microbiology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia., Mahamd Adikan FR; Integrated Lightwave Research Group, Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia., Berini P; School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward Ave., Ottawa K1N6N5, Canada; Department of Physics, University of Ottawa, 150 Louis Pasteur, Ottawa K1N 6N5, Canada; Centre for Research in Photonics, University of Ottawa, Ottawa, ON K1N 6N5, Canada. Electronic address: berini@eecs.uottawa.ca.
Jazyk: angličtina
Zdroj: Biosensors & bioelectronics [Biosens Bioelectron] 2016 Apr 15; Vol. 78, pp. 132-139. Date of Electronic Publication: 2015 Nov 12.
DOI: 10.1016/j.bios.2015.11.030
Abstrakt: The non-structural 1 (NS1) protein of the dengue virus circulates in infected patients' blood samples and can be used for early diagnosis of dengue infection. In this paper, we present the detection of naturally-occurring dengue NS1 antigen in infected patient blood plasma using straight long-range surface plasmon waveguides. Three commercially-available anti-NS1 monoclonal antibodies were used for recognition and their performance was compared and discussed. A similar figure of merit to the one used in conventional dengue NS1 capture using an enzyme-linked immunosorbent assay (ELISA) was applied to our results. In general, the positive patient samples can be clearly differentiated from the negative ones and the results agree with those obtained using ELISA. The largest signal-to-noise ratio observed during the experiments was 356 and the best detection limit observed is estimated as 5.73 pg/mm(2).
(Copyright © 2015 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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