Investigating the Impact of Long-Term Alcohol Consumption on Serum Chemical Changes: Fourier Transform Infrared Spectroscopy for Human Blood Serum

Abstract

Chronic alcohol consumption significantly impacts physiological and neurological functions. This study aimed to investigate the biochemical alterations in serum associated with long-term alcohol use using Fourier Transform Infrared (FTIR) spectroscopy. Serum samples from control and alcohol use disorder (AUD) were analyzed, and their spectra were compared. Multivariate analysis techniques, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), were employed to differentiate the groups. A machine learning model, Grid Search-Support Vector Machine Discriminant Analysis (GS-SVMDA), was developed to classify samples with high accuracy. Significant differences in the absorbance values of specific functional groups, particularly those associated with phospholipids, amides, and fatty acids revealed. The AUD exhibited lower levels of these biomolecules. The models achieved perfect classification, demonstrating the potential ofFTIR spectroscopy as a non-invasive tool for diagnosing AUD. Findings contribute to a better understanding of the biochemical mechanisms underlying alcohol addiction and may aid in the development of novel diagnostic and therapeutic strategies.