Machine Learning-Assisted FTIR Analysis of Circulating Extracellular Vesicles for Cancer Liquid Biopsy.

Interestingly, highly significant differences are detected by computing the ratios between the CH-stretching band at 2800–3000 cm −1 and the Amide I-II bands at 1470–1700 cm −1 ( Figure 4 E), which is known as the spectral Lipid-to-Protein Ratio (LPR) [ 8 , 18 ], and provide a quantitative index correlated to the relative amount of lipids and proteins in the analyzed samples.

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