Fitting mixture models to the distributions of sweet-potato starch particles after hammer milling

Kravchuk, Olena and Sopade, Peter (2009). Fitting mixture models to the distributions of sweet-potato starch particles after hammer milling. In: Poster Presentation Abstracts: International Biometrics Society Australasian Region Conference 2009: Biometrics on the Lake. The International Biometric Society Australasian Region Conference: Biometrics by the Lake, Lake Taupo, New Zealand, (92-92). 29 November - 3 December 2009.

Author Kravchuk, Olena
Sopade, Peter
Title of paper Fitting mixture models to the distributions of sweet-potato starch particles after hammer milling
Conference name The International Biometric Society Australasian Region Conference: Biometrics by the Lake
Conference location Lake Taupo, New Zealand
Conference dates 29 November - 3 December 2009
Proceedings title Poster Presentation Abstracts: International Biometrics Society Australasian Region Conference 2009: Biometrics on the Lake
Publication Year 2009
Sub-type Poster
Start page 92
End page 92
Total pages 1
Language eng
Abstract/Summary Various distributions of particles of sweet-potato starch were created under different regimes of hammer milling in an experiment, which was investigating the digestibility of the sweet-potato flour. The experimental factors were the size of the retention sieve and the number of re-grinding passes through the hammer mill. Twenty four flour samples were produced altogether from six milling settings (two replicates and two sub-samples from each). The distributional data were generated by a particle size analyser (Malvern Instruments Ltd, Malvern WR14 1XZ, UK) in a form of a long binned array of volumetric percentages. The particle size distributions were obviously, and in a complex way, changing with changes in the milling energy. The average volumetric diameter alone was not an adequate summary for the distributions. It was thus required to construct a tailored algorithm for summarizing the distributional changes and relating them to the digestion rates of flours measured subsequently. Here we report a comparative analysis of the goodness-of-fit of three-component mixtures of log-Normal and two-parameter Weibull distributions, and relate the changes in the parameters of the models to the settings of the mill.
Q-Index Code EX
Q-Index Status Provisional Code
Institutional Status UQ

 
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Created: Thu, 02 Feb 2012, 11:17:57 EST by Dr Peter Sopade on behalf of Centre for Nutrition and Food Sciences