Mixolab versus Alveograph and Falling Number
2010
Codina, G.G.,Stefan cel Mare Univ., Suceava (Romania). Faculty of Food Engineering | Mironeasa, S.,Stefan cel Mare Univ., Suceava (Romania). Faculty of Food Engineering | Bordei, D.,Faculty of Food Science and Engineering, Galati (Romania) | Leahu, A.,Stefan cel Mare Univ., Suceava (Romania). Faculty of Food Engineering
In 2005, a new method for monitoring the rheological properties of the dough on the entire technological process of bread making became available through Mixolab at an international level. This laboratory equipment has amazing possibilities for the research and development, enabling a complex analysis of flour. The objective of this study was to establish a relation between the alveograph, Falling Number, and Mixolab values. Sixty flours, collected around the Romanian country, were analysed simultaneously on alveograph (standard protocol), for the Falling Number, and on Mixolab (Simulator and the standard option Chopin+ protocol). A selection of principal factors based on the Principal Component Analysis was applied, which allowed the building of an efficient predictive model for each parameter. There were significant correlations between most of the Alveograph parameters: maximum pressure (P), deformation energy (W), extensibility (L), alveograph ratio (P/L) and Simulator Mixolab stability. Using the Mixolab standard option Chopin+ protocol a close association was found between some Mixolab parameters: stability and protein weakening (C2, difference of the points C1-C2 abbreviated C12) and the alveograph values (P, W). From the point of view of the correlations established with the Falling Number index, very good results were obtained with the parameters obtained with Mixolab that measures starch gelatinisation (C3, difference of the points C3-C2 abbreviated C32), amylolytic activity (C4, difference of the points C3-C4 abbreviated C34), and starch gelling (C5, difference of the points C5-C4 abbreviated C54).
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