Discriminating between diabetic and non-diabetic patient’s blood serum using near-infrared Raman spectroscopy

Abstract

Abstract The current study demonstrates the utilization of Raman spectroscopy, employing a laser system emitting @ 785 nm, and multivariate analysis for the accurate assessment of diabetes (glucose) in human blood sera. Raman spectra of sera samples collected from 40 patients of both genders of different age groups were acquired in the spectral range of 600–1800 cm−1. For comparison, the Raman spectra of non-diabetic healthy individuals were also obtained in the same spectral range. Apparent variations were found in normal and pathological samples at peak positions of 700 cm−1, 750 cm−1, 879 cm−1, 950 cm−1, band at 1004 cm−1 to 1006 cm−1, 1048 cm−1, 1060 cm−1, 1082 cm−1, 1091 cm−1, 1170 cm−1, 1247 cm−1, 1330 cm−1, 1333 cm−1, 1367 cm−1, 1659 cm−1 and 1745 cm−1. These variations are most likely due to variations in the concentration of amino-acid methionine, glycosylated, tryptophan, polysaccharides, phenylalanine, glycogen, glucose, carbohydrates, carbohydrates (C–O–H), tyrosine, guanine, typical phospholipids, guanine, phospholipid, cholesterol band, and triglycerides (fatty acids) respectively. For highlighting the spectral differences between the two data sets principal component analysis was used. The observed variations in Raman peaks provide an in-depth biochemical fingerprint of the samples and can be used as a biomarker for medical diagnosis effectively at the mass level.