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Optimization of Formulation Parameters for Reduced-Fat Katima with Improved Nutritional Quality Using Response
Huiling Huang1, Zhichao Yang1, Tiemier Kanjiguli1
1School of Food Science and Engineering, Tarim University, Alar 843300, China.
Abstract:
This work optimized the formulation of the traditional Kyrgyz layered pastry Katima to lower its high butter-derived lipid content. High-gluten flour served as the base raw material, with butter, yeast, salt, egg liquid, and raisins as auxiliary ingredients. Single-factor trials combined with Box-Behnken response surface methodology (RSM) were carried out, with overall sensory score as the primary evaluation index to screen critical formulation variables: butter, yeast, and salt exerted distinct linear and interactive effects on product acceptability. The validated optimal formula contained 12.67 g butter, 0.78 g instant active dry yeast, and 0.56 g edible salt per 100 g flour, yielding a mean sensory score of 95.03 and a 37.21% fat reduction relative to full-fat traditional Katima. Significant intergroup differences (p < 0.05) were observed in texture, surface color, and physicochemical profiles. Reduced-fat Katima exhibited elevated moisture, hardness, and chewiness, alongside markedly lower fat, peroxide and acid values, reflecting enhanced lipid oxidative stability. This study provides standardized technical parameters and a feasible upgrading strategy for industrialized production of healthy Xinjiang ethnic cereal pastries.
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