Detection and quantification of poliovirus infection using FTIR spectroscopy and cell cultureReport as inadecuate




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Journal of Biological Engineering

, 5:16

First Online: 05 December 2011Received: 28 August 2011Accepted: 05 December 2011

Abstract

BackgroundIn a globalized word, prevention of infectious diseases is a major challenge. Rapid detection of viable virus particles in water and other environmental samples is essential to public health risk assessment, homeland security and environmental protection. Current virus detection methods, especially assessing viral infectivity, are complex and time-consuming, making point-of-care detection a challenge. Faster, more sensitive, highly specific methods are needed to quantify potentially hazardous viral pathogens and to determine if suspected materials contain viable viral particles. Fourier transform infrared FTIR spectroscopy combined with cellular-based sensing, may offer a precise way to detect specific viruses. This approach utilizes infrared light to monitor changes in molecular components of cells by tracking changes in absorbance patterns produced following virus infection. In this work poliovirus PV1 was used to evaluate the utility of FTIR spectroscopy with cell culture for rapid detection of infective virus particles.

ResultsBuffalo green monkey kidney BGMK cells infected with different virus titers were studied at 1 - 12 hours post-infection h.p.i

A partial least squares PLS regression method was used to analyze and model cellular responses to different infection titers and times post-infection. The model performs best at 8 h.p.i., resulting in an estimated root mean square error of cross validation RMSECV of 17 plaque forming units PFU-ml when using low titers of infection of 10 and 100 PFU-ml. Higher titers, from 10 to 10 PFU-ml, could also be reliably detected.

ConclusionsThis approach to poliovirus detection and quantification using FTIR spectroscopy and cell culture could potentially be extended to compare biochemical cell responses to infection with different viruses. This virus detection method could feasibly be adapted to an automated scheme for use in areas such as water safety monitoring and medical diagnostics.

KeywordsEnterovirus Fourier Transform Infrared FTIR spectroscopy zinc selenide ZnSe mid-infrared partial least squares cell culture buffalo green monkey kidney BGMK cells virus detection poliovirus PV1 List of abbreviationsCPEcytopathic effect

FTIRFourier transform infrared

BGMKbuffalo green monkey kidney

PFUplaque forming units

DMEMDMEM Dulbecco-s Modified Eagle Medium

NCSnew calf serum

PCRpolymerase chain reaction

RNAribonucleic acid

DNAdeoxyribonucleic acid

RMSECVroot mean square error of cross validation

RMSECroot mean square error of calibration

PV1poliovirus 1

FBSfetal bovine serum

iPLSInterval Partial Least Square

multiplicity of infectionm.o.i.

hours post-infectionh.p.i



Electronic supplementary materialThe online version of this article doi:10.1186-1754-1611-5-16contains supplementary material, which is available to authorized users.

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Author: Felipe T Lee-Montiel - Kelly A Reynolds - Mark R Riley

Source: https://link.springer.com/



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