Impact of fat types on the visual, textural, and sensory properties of Nanberenji (a traditional gluten-free cookie)

食品科学 橄榄油 风味 无麸质 化学 纹理(宇宙学) 脂肪替代品 感官分析 面筋 数学 人工智能 图像(数学) 计算机科学
作者
Ali Heydari,Mohebbat Mohebbi,Arash Ghaitaranpour
出处
期刊:International Journal of Food Engineering [De Gruyter]
卷期号:19 (9): 423-434 被引量:1
标识
DOI:10.1515/ijfe-2023-0013
摘要

Abstract The objective of this research was to evaluate the effects of various fat types (Bakery fat, Ghee, and Olive oil) on visual characteristics, baking behavior, textural, and sensory properties of a traditional gluten-free rice-based cookie (Nanberenji). The ability of image analysis for measuring some quality properties of prepared samples were also assessed. The obtained data demonstrated that the dough prepared with bakery and olive oil had maximum and minimum hardness values, respectively. However, after baking, the samples prepared with olive oil showed the highest hardness, meaningfully. The given outputs from image processing depicted that cookie prepared with bakery fat (NBF) and samples prepared with olive oil (NOO) had the highest and lowest surface color uniformity, respectively. Over baking time, the intensity and changes in the behavior of image textural features of NG and NBF samples were the same, while NOO samples showed a different behavior. Based on sensory analysis results, olive oil, as a healthy unsaturated fat, is advised to be used in the formulation of Nanberenji to produce a gluten-free cookie with a desirable texture, color, and flavor.
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