Open Access
20 September 2013 Rapid detection of urinary polyomavirus BK by heterodyne-based surface plasmon resonance biosensor
Li-Chen Su, Ya-Chung Tian, Ying-Feng Chang, Chien Chou, Chao-Sung Lai
Author Affiliations +
Funded by: Linkou Chang Gung Memorial Hospital, National Science Council, The Ministry of Education, Taiwan
Abstract
In renal transplant patients, immunosuppressive therapy may result in the reactivation of polyomavirus BK (BKV), leading to polyomavirus-associated nephropathy (PVAN), which inevitably causes allograft failure. Since the treatment outcomes of PVAN remain unsatisfactory, early identification and continuous monitoring of BKV reactivation and reduction of immunosuppressants are essential to prevent PVAN development. The present study demonstrated that the developed dual-channel heterodyne-based surface plasmon resonance (SPR) biosensor is applicable for the rapid detection of urinary BKV. The use of a symmetrical reference channel integrated with the poly(ethylene glycol)-based low-fouling self-assembled monolayer to reduce the environmental variations and the nonspecific noise was proven to enhance the sensitivity in urinary BKV detection. Experimentally, the detection limit of the biosensor for BKV detection was estimated to be around 8500  copies/mL . In addition, urine samples from five renal transplant patients were tested to rapidly distinguish PVAN-positive and PVAN-negative renal transplant patients. By virtue of its simplicity, rapidity, and applicability, the SPR biosensor is a remarkable potential to be used for continuous clinical monitoring of BKV reactivation.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2014/$25.00 © 2014 SPIE
Li-Chen Su, Ya-Chung Tian, Ying-Feng Chang, Chien Chou, and Chao-Sung Lai "Rapid detection of urinary polyomavirus BK by heterodyne-based surface plasmon resonance biosensor," Journal of Biomedical Optics 19(1), 011013 (20 September 2013). https://doi.org/10.1117/1.JBO.19.1.011013
Published: 20 September 2013
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Biosensors

Surface plasmons

Adsorption

Self-assembled monolayers

Biological research

Medical research

Sensors

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