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Optimization of leavening agents in extruded gluten-free brewer's rice hard pretzel using response surface methodology


Citation

Paykary, Maryam and Karim, Roselina and Saari, Nazamid and Sulaiman, Rabiha and Shekarforoush, Elhamalsadat and Aghazadeh, Mona (2016) Optimization of leavening agents in extruded gluten-free brewer's rice hard pretzel using response surface methodology. Journal of Food Process Engineering, 39 (6). pp. 610-624. ISSN 0145-8876; ESSN:1745-4530

Abstract

Celiac is the second most important issue in food sensitivities. The only treatment for celiac is a lifetime avoidance of consuming gluten. As pretzels are one of the most popular snacks in the world, making gluten-free pretzels is a market need. To produce gluten-free products, it is important to optimize the ingredients of the formulation. This research focused on optimization of the leavening agents of the most popular commercial hard pretzel formulation in which wheat flour is replaced with brewer's rice flour. This research also attempts to explain the effect of leavening agents in products containing no matrix molecules such as gluten. Response surface methodology via the central composite design was used to optimize the effects of yeast and bicarbonate of soda on the hardness (cutting strength), fracturability (brittleness), surface color, lateral expansion, expansion ratio, specific length, density (bulk, particle, material), porosity (open, close, total), water absorption index, water solubility index, water holding capacity, oil absorption index and oil holding capacity of gluten-free hard pretzel. The optimized results indicated that the gluten-free pretzel requires 8.05g yeast and 2.59g bicarbonate of soda for every 500g of brewer's rice flour.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
DOI Number: https://doi.org/10.1111/jfpe.12254
Publisher: Wiley-Blackwell Publishing
Keywords: Leavening agent; Gluten-free; Brewer's rice hard pretzel; Gluten-free pretzel; Brewer's rice; Response surface methodology
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 31 Oct 2017 09:17
Last Modified: 31 Oct 2017 09:17
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1111/jfpe.12254
URI: http://psasir.upm.edu.my/id/eprint/53449
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