Abstract
In the present study, we evaluated attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy for the differential diagnosis hepatitis C virus (HCV) and Dengue virus (DENV) infected freeze-dried sera along with healthy freeze-dried sera. Spectral signatures were recorded from 50 freeze-dried sera samples of each sample type. To achieve improved classification accurateness between the three sample types, multivariate data classification algorithms principal component analysis (PCA) and principal component regression (PCR) were used. Outcomes show 96 % inter-class variation as depicted by PCA and a classification accuracy of 99.2 % using PCR as shown by the value of R2; therefore, we propose that ATR-FTIR coupled with chemo metric data classification algorithms has considerable potential to distinguishHCV and DENV infected freeze-dried sera samples.
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