Influence of wheat kernel physical properties on the pulverizing process.

J Food Sci Technol

Department of Biochemistry and Food Chemistry, University of Life Sciences, Skromna 8, 20-704 Lublin, Poland.

Published: October 2014

AI Article Synopsis

  • The study analyzed the physical properties of 19 wheat cultivars with similar protein content to understand how these traits affect grinding performance.
  • The wheat kernels were pulverized using a laboratory hammer mill, and the energy required for grinding varied between 120 kJ/kg and 159 kJ/kg.
  • Significant correlations were found between physical properties like kernel hardness, vitreousness, and ash content with grinding energy, leading to the development of a multiple linear regression model to predict the average particle size of the ground wheat.

Article Abstract

The physical properties of wheat kernel were determined and related to pulverizing performance by correlation analysis. Nineteen samples of wheat cultivars about similar level of protein content (11.2-12.8 % w.b.) and obtained from organic farming system were used for analysis. The kernel (moisture content 10 % w.b.) was pulverized by using the laboratory hammer mill equipped with round holes 1.0 mm screen. The specific grinding energy ranged from 120 kJkg(-1) to 159 kJkg(-1). On the basis of data obtained many of significant correlations (p < 0.05) were found between wheat kernel physical properties and pulverizing process of wheat kernel, especially wheat kernel hardness index (obtained on the basis of Single Kernel Characterization System) and vitreousness significantly and positively correlated with the grinding energy indices and the mass fraction of coarse particles (> 0.5 mm). Among the kernel mechanical properties determined on the basis of uniaxial compression test only the rapture force was correlated with the impact grinding results. The results showed also positive and significant relationships between kernel ash content and grinding energy requirements. On the basis of wheat physical properties the multiple linear regression was proposed for predicting the average particle size of pulverized kernel.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190216PMC
http://dx.doi.org/10.1007/s13197-012-0807-8DOI Listing

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