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  11. Application Of Fourier Transform Near-infrared Spectroscopy And Chemometrics For Quantitative Analysis Of Milk Of Lime (mol) Used In The Sugar Industry

Application of Fourier Transform Near-Infrared Spectroscopy and Chemometrics for Quantitative Analysis of Milk of Lime (MOL) Used in the Sugar Industry

Radosław Michał Gruska1, Alina Kunicka-Styczyńska1, Magdalena Molska1

  • 1Department of Sugar Industry and Food Safety Management, Faculty of Biotechnology and Food Science, Lodz University of Technology, Wólczańska Str. 171/173, 90-530 Lodz, Poland.

Molecules (Basel, Switzerland)
|June 13, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

Fourier Transform Near-Infrared (FT-NIR) spectroscopy effectively monitors milk of lime (MOL) density and calcium oxide availability. This non-destructive method shows potential for improving sugar industry process control.

Area of Science:

  • Analytical Chemistry
  • Process Chemistry

Background:

  • Milk of lime (MOL) is crucial for sugar purification.
  • Accurate monitoring of MOL parameters is essential for efficient sugar production.

Purpose of the Study:

  • To evaluate Fourier Transform Near-Infrared (FT-NIR) spectroscopy for rapid, non-destructive analysis of MOL.
  • To assess the performance of chemometric models (PLS and PCR) in predicting MOL parameters.

Main Methods:

  • Ninety MOL samples were analyzed using FT-NIR spectroscopy.
  • Chemometric models, including Partial Least Squares (PLS) and Principal Component Regression (PCR), were employed.
  • Results were validated against wet chemistry methods, with R-squared values used for performance assessment.

Main Results:

Keywords:
FT-NIR spectroscopycalcium oxidechemometricsgreen analytical chemistry

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  • High predictive accuracy was achieved for density (R² > 0.82) and calcium oxide availability (R² > 0.90).
  • Moderate accuracy was observed for total lime content (R² ≈ 0.77-0.79).
  • Low predictive power was found for sucrose content (R² < 0.38) and %CaO (R² < 0.49), attributed to spectral complexity.

Conclusions:

  • FT-NIR spectroscopy, coupled with chemometrics, offers a viable, reagent-free approach for monitoring key MOL parameters.
  • The technique shows promise for enhancing process control in the sugar industry.
  • Further research is needed to improve accuracy for complex matrices by refining calibration and addressing spectral interferences.
milk of lime
process control