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Determining moisture content in pasta by vibrational spectroscopy.

Tomasz Czaja1, Ewelina Kuzawińska2, Aldona Sobota2

  • 1Department of Chemistry, University of Wrocław, 14F. Joliot-Curie, 50-383 Wrocław, Poland.

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|November 16, 2017
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Summary

Accurate pasta moisture quantification is crucial for quality control. New infrared spectroscopy methods offer a fast, efficient alternative to traditional, labor-intensive techniques for monitoring moisture in pasta dough and products.

Keywords:
Moisture contentMultivariate calibrationPastaQuantitative analysisVibrational spectroscopy

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Area of Science:

  • Food Science and Technology
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Pasta is a globally consumed cereal-based food, with moisture content being a critical factor influencing its final quality.
  • Accurate monitoring of moisture in pasta dough and finished products is essential for optimizing drying processes and ensuring desired texture, color, and taste.
  • Current methods for moisture determination are often laborious and time-consuming.

Purpose of the Study:

  • To develop and validate a rapid and efficient method for quantitative moisture determination in pasta.
  • To compare the effectiveness of different spectroscopic techniques (ATR/NIR/Raman) for pasta moisture analysis.
  • To establish spectroscopic models for predicting moisture content in pasta dough and products.

Main Methods:

  • Quantitative analysis of moisture content in pasta dough and pasta using infrared spectroscopy.
  • Application of partial least squares (PLS) treatment to spectral data obtained via attenuated total reflectance (ATR) diamond accessory.
  • Comparison of results with near-infrared (NIR) diffuse reflectance and Raman spectroscopy.

Main Results:

  • Attenuated Total Reflectance Near-Infrared (ATR-NIR) spectroscopy provided highly accurate moisture quantification with a relative standard error of prediction of 2.54% (calibration) and 2.15% (validation).
  • Diffuse reflectance NIR and Raman spectroscopy also yielded reliable results, though with slightly higher prediction errors (NIR: 3.16/3.32%, Raman: 5.56/5.67%).
  • The developed spectroscopic procedures demonstrated high efficiency and accuracy for pasta moisture quantification.

Conclusions:

  • Infrared spectroscopy, particularly ATR-NIR, offers a fast, efficient, and accurate method for determining moisture content in pasta.
  • These spectroscopic techniques can potentially replace traditional, more laborious methods in the food industry.
  • The study highlights the utility of spectroscopic analysis for real-time quality control in pasta production.