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Unlocking the potential of pasting properties to predict extrudate characteristics of corn grits blends with high amylose corn starch,potato starch,or rice flour |
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| Authors: | Els Debonne Louise-Marie Van de Velde Camilla van den Navoij Elia Dalle Fratte Mia Eeckhout |
| Affiliation: | 1. Research Unit of Cereal and Feed Technology, Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium;2. Research Unit of Cereal and Feed Technology, Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
Contribution: Writing - original draft, Writing - review & editing;3. Research Unit of Cereal and Feed Technology, Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium Contribution: Investigation, Writing - original draft, Methodology, Formal analysis;4. Research Unit of Cereal and Feed Technology, Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium Contribution: Conceptualization, Investigation, Formal analysis, Supervision, Methodology, Validation, Writing - original draft;5. Research Unit of Cereal and Feed Technology, Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium Contribution: Funding acquisition, Writing - review & editing, Resources |
| Abstract: | The development of new production lines of extruded ready-to-eat (RTE) snacks often results in high losses of edible food due to the trial-and-error approach in industry. Being able to predict extrudate characteristics of new formulations before having to run trials on industrial scale would be beneficial for reducing waste and having a more efficient development process. With this study, the correlation between pasting properties of seven blends of flours/starches and extrudate characteristics was investigated (100% corn grits, 25% and 50% replacement of corn grits with high amylose starch, potato starch, and rice flour). The predictive power of pasting characteristics on extrudate's moisture content, water absorption and solubility index, sectional expansion index (SEI) and hardness was studied. Results indicated the potential of predicting SEI, water solubility index (WSI), and water absorption index (WAI) of RTE-snacks. WSI and WAI were, respectively, negatively correlated with peak temperature (R2 = 0.897), and positively with peak temperature and positively with trough viscosity (R2 = 0.855). One can conclude that the rheometer can be a useful tool to gain insight into the characteristics of the extrudate, although further research with enlargement of the dataset is necessary to make the rheometer effectively deployable for potentially other extrudate characteristics. |
| Keywords: | extrusion rheology starch pasting |