Identification of Important Sugar Binary Mixtures Found in Biorefineries Using Terahertz Time-Domain Spectroscopy.

ABSTRACT: Terahertz (THz) spectroscopy has shown great promise in identifying and quantifying biomolecules whose vibrational modes fall within the terahertz frequency range. This work aims to develop a framework for determining sugar compositions in common chemical reactions that convert C5 and C6 sugars to higher-value products. To simulate these reaction environments, we prepared three types of solid binary mixtures as pellets: glucose-sorbitol, xylose-xylitol, and glucose-fructose, all with varying concentration ratios. Using a terahertz time-domain spectroscopy (THz-TDS) system, we acquired THz spectra of those binary mixture pellets and implemented four types of linear and nonlinear machine learning models to predict sugar compositions from the acquired spectra. Prediction results from test dat

SUBMITTER: Jintamethasawat R 

PROVIDER: S-EPMC12756803 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature