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Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) as a Method of Identifying Contaminants in Sugar Beet Production Process—Case Studies

Molecules 2023 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Radosław Gruska, Alina Kunicka‐Styczyńska, Andrzej Jaśkiewicz, Andrzej Baryga, Stanisław Brzeziński, Beata Świącik

Summary

Researchers applied Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) to identify contaminants in sugar beet white sugar production, successfully detecting inorganic contaminants (calcium carbonate), plastic contaminants (polypropylene), and oily lubricants with high precision. Commercial reference spectra databases enabled rapid and accurate identification without sophisticated spectral analysis, demonstrating FT-MIR as a practical food safety quality control method.

Polymers

Food safety has received considerable attention in recent years. Methods for rapid identification of a variety contaminants in both the final product and the manufacturing process are constantly developing. This study used Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) spectroscopy to identify various contaminants endangering white sugar production. It was demonstrated that inorganic compounds (calcium carbonate—CaCO3), plastic contaminants (polypropylene), and oily contaminants (compressor sealing and lubrication lubricant) can be identified with a high degree of precision. FT-MIR spectroscopy was proved to be a useful technique for detecting sugar contaminants rapidly and precisely even without the application of a sophisticated spectra analysis. Commercial databases of reference spectra usage significantly simplify and facilitate the application of this method.

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