In this study, we have evaluated the potential of attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy to differentially diagnose bimolecular markers in Salmonella typhi and dengue infected freeze-dried 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.

在这项研究中，我们评估了衰减全反射傅立叶变换红外光谱（ATR-FTIR）光谱技术在鉴别伤寒沙门氏菌和登革热感染的冻干血清样品以及健康的冻干血清样品中的双分子标记物方面的潜力。记录了来自18 S. typhi的光谱特征感染，23例登革热感染和28例健康的冻干血清样本。为了提高三个样本类别之间的分类准确性，使用了多元数据分类算法主成分分析（PCA）和线性判别分析（LDA）。PCA散点图的结果显示类间差异为95％。使用LDA可以达到100％的分类精度；因此，我们建议结合化学计量学数据分类算法的ATR-FTIR在伤寒沙门氏菌和登革热感染的冻干血清样品之间的双分子鉴别方面具有巨大潜力。