Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome.

ABSTRACT:

Background/purpose

Dyslipidemia, a hallmark of metabolic syndrome (MetS), contributes to atherosclerotic and cardiometabolic disorders. Due to days-long analysis, current clinical procedures for cardiotoxic blood lipid monitoring are unmet. This study used AI-assisted attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to identify MetS and precisely quantify multiple blood lipid levels with a blood sample of 0.5 µl and the assaying time is approximately 10 minutes.

Methods

ATR-FTIR spectroscopy with 1738 data points in the spectral range of 4000-650 cm-1 was used to analyze the blood samples. An adaptive synthetic technique was used to establish a prevalence-balanced dataset. LDL-C, HDL-C, TG, VLDL-C, and cholesterol levels were defined as the pre

SUBMITTER: Gau TP 

PROVIDER: S-EPMC11781649 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature