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Predicting the cookie quality of flours by using Mixolab®

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Abstract

The objective of this study was to determine the possibility of using Mixolab® to predict the cookie baking quality of different wheat flours. Mixolab data was also compared with various flour quality characteristics. There were significant correlations (P < 0.001) between Mixolab stability and some of the flour quality characteristics (protein and wet gluten contents, Zeleny sedimentation value). Alveoconsistograph T value was negatively correlated with Mixolab C3, C4 and C5 values. The cookie diameter gave highly significant correlations with protein content, Zeleny sedimentation value and damaged starch content. Mixolab C3 and C4 values were highly correlated (P < 0.001) with both cookie diameter and spread ratio. A significant correlation coefficient (r = 0.556) was determined between the cookie diameter and C1–C2 value which is an indication of protein quality. The dependence of cookie diameter and spread ratio on Mixolab C3 value, damaged starch content and Zeleny sedimentation value were analyzed with multiple regression analysis and high multiple correlation coefficients were found between these parameters (r = 0.948 and 0.861, respectively).

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Acknowledgments

We would like to thank Chopin Technologies for lending us the Mixolab® instrument.

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Authors and Affiliations

  1. Department of Food Engineering, Faculty of Engineering, Hacettepe University, 06532, Beytepe, Ankara, Turkey

    Serpil Ozturk, Kevser Kahraman, Bengihan Tiftik & Hamit Koksel

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  1. Serpil Ozturk
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  2. Kevser Kahraman
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  3. Bengihan Tiftik
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  4. Hamit Koksel
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Correspondence to Hamit Koksel.

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Ozturk, S., Kahraman, K., Tiftik, B. et al. Predicting the cookie quality of flours by using Mixolab® . Eur Food Res Technol 227, 1549–1554 (2008). https://doi.org/10.1007/s00217-008-0879-x

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  • DOI: https://doi.org/10.1007/s00217-008-0879-x

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