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Optimization of Functional Gluten-Free Cake Formulation Using Rice Flour, Coconut Flour, and Xanthan Gum via
Aidin Taromsari1, Babak Ghiassi Tarzi1
1Department of Food Science and Technology, Science and Research Branch Islamic Azad University Tehran Iran.
Coconut flour and xanthan gum improve gluten-free rice flour cakes. This study optimized their levels to enhance texture, moisture, and sensory acceptance for gluten-related disorders.
Area of Science:
- Food Science and Technology
- Nutritional Science
- Materials Science
Background:
- Gluten-containing grains (wheat, barley, rye) trigger celiac disease (CD), non-celiac gluten sensitivity (NCGS), and wheat allergies (WA).
- Rice is a viable gluten-free alternative, but its flour-based products require technological enhancement for improved quality.
- Coconut flour (CF) and xanthan gum (XG) show potential to improve fiber content, texture, and functional properties of gluten-free baked goods.
Purpose of the Study:
- To investigate the impact of substituting rice flour (RF) with CF and XG on the physical, chemical, and sensory properties of gluten-free cakes.
- To develop optimized formulations for gluten-free cakes using response surface methodology, ensuring viability for individuals with gluten-related disorders.
Main Methods:
- A response surface D-optimal mixture design was employed with 17 experimental runs.
- Variables included Sadri Hashemi rice flour (RF) (15.60%-31.19%), low-fat desiccated coconut flour (CF) (0%-15.59%), and xanthan gum (XG) (0%-0.31%).
- Eleven responses (e.g., viscosity, color, water activity, texture, volume, sensory acceptance) were analyzed using regression models.
Main Results:
- Significant models (p < 0.0001) were developed for all analyzed responses, with R² > 0.85.
- CF and XG significantly increased batter viscosity and specific weight, while decreasing cake volume index.
- Optimal levels of CF improved sensory acceptance (color, taste, texture, overall) and increased moisture and texture hardness, whereas XG reduced sensory attributes.
Conclusions:
- The study successfully developed valid regression models to predict gluten-free cake quality and sensory properties.
- An optimized gluten-free cake formula (23.395% RF, 7.795% CF, 0% XG) achieved an 88.0% desirability score.
- This research provides a viable gluten-free cake product, enhancing options for individuals managing gluten-related disorders.
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