Rapid detection and quantification of Enterovirus 71 by a portable surface plasmon resonance biosensor

Briliant Adhi Prabowo, Robert Y.L. Wang, Muhammad Khari Secario, Po-Ting Ou, Azharul Alom, Jia-Jung Liu, Kou-Che Liu

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)

Abstract

This study presents the first report on a label-free detection and rapid quantification method for human enterovirus 71 (EV71) using a portable surface plasmon resonance (SPR) system. The SPR sensor instrument was configured to run on low power in a miniaturized platform to improve the device portability for a wider application both in laboratories and in the field. A color tunable organic light emitting diode in red spectrum was attached on a trapezoidal prism for the disposable light source module. The SPR signal processing using integration area under the reflectivity curve is applied for optimum signal to noise ratio (SNR) enhancement. The major capsid protein VP1 of EV71 was selected as the biomarker target in the detection study. The experimental time required for the EV71 quantification was reduced from 6 days using the conventional viral plaque assay to several minutes using the proposed method. The study results establish a detection limit of approximately 67 virus particles per milliliter (vp/ml) of EV71 in a Dulbecco's modified Eagle's medium. The VP1 detection in the portable SPR biosensor had a detection limit of approximately 4.8 pg/ml in the PBS buffer. Therefore, the proposed direct EV71 viral particle quantification method can be rapidly performed in real time, with high sensitivity and less labor and without assays or fluorescence.
Original languageEnglish
Pages (from-to)186-191
JournalBiosensors and Bioelectronics
Volume92
Early online date16 Feb 2017
DOIs
Publication statusPublished - 15 Jun 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Rapid detection and quantification of Enterovirus 71 by a portable surface plasmon resonance biosensor'. Together they form a unique fingerprint.

Cite this