ATR-FTIR spectroscopy based differentiation of typhoid and dengue fever in infected human sera

In this study, we have evaluated the potential of attenuated total reflection Fourier transform infrared (ATRFTIR) spectroscopy to differentially diagnose bimolecular markers in Salmonella typhi and dengue infected freezedried sera samples along with healthy freeze-dried sera samples. Spectral signatures were recorded from 18 S. typhi infected, 23 dengue infected and 28 healthy freeze-dried sera samples. In order to achieve enhanced classification accuracy between the three sample classes, multivariate data classification algorithms principal component analysis (PCA) and linear discriminant analysis (LDA) were used. Outcomes of the PCA scatter plot showed 95% inter-class variation. A classification accuracy of 100% was achieved using LDA; therefore, we propose that ATR-FTIR coupled with chemo metric data classification algorithms holds substantial potential for bimolecular differentiation between S. typhi and dengue infected freeze-dried sera samples.

Automated summary

This study demonstrates the potential of ATR-FTIR spectroscopy combined with chemometric data classification algorithms for differential diagnosis of Salmonella typhi and dengue infected freeze-dried sera samples. PCA and LDA algorithms were used to achieve accurate classification and differentiation with high accuracy.