Title |
Detection and quantification of poliovirus infection using FTIR spectroscopy and cell culture
|
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Published in |
Journal of Biological Engineering, December 2011
|
DOI | 10.1186/1754-1611-5-16 |
Pubmed ID | |
Authors |
Felipe T Lee-Montiel, Kelly A Reynolds, Mark R Riley |
Abstract |
In 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 81 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 18% |
Student > Ph. D. Student | 15 | 18% |
Student > Bachelor | 11 | 13% |
Student > Doctoral Student | 8 | 10% |
Professor | 4 | 5% |
Other | 10 | 12% |
Unknown | 19 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 20% |
Biochemistry, Genetics and Molecular Biology | 10 | 12% |
Engineering | 8 | 10% |
Physics and Astronomy | 5 | 6% |
Chemistry | 4 | 5% |
Other | 17 | 21% |
Unknown | 22 | 27% |