低热量无蛋功能性蛋糕的感官评价

Aditi Roy Chowdhury, Parna Sarkar, Sovik Roy
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引用次数: 0

摘要

本工作的目的是制备和评价一种配方的功能性无蛋蛋糕,使用关键成分来结合营养价值。开发面糊所添加的功能成分为益生元、益生菌和甜菊叶粉。该研究的目的是用天然甜味剂代替糖含量,减少烘焙时的褐变效应,然后获得具有理想感官品质的适当烘焙成品。根据不同包装材料的口感、颜色、风味、质地和视觉微生物生长等质量参数,对成品的保质期研究进行了评价。在不同的油含量下,不同的益生元和益生菌浓度,以及使用不同百分比的甜菊糖进行了各种试验。减少油的百分比是为了开发一种低热量的蛋糕,为烘焙产品提供健康益处。当使用低油百分比时,还考虑了与化学品安全有关的食品安全方面。所有的近似分析和抗氧化分析进行功能性烘焙产品。低热量开发产品的一些仪器和感官特性以及微生物分析进行了评估。不同年龄组感官质量的统计分析也使用Tuckey检验(诚实显著差异检验)进行评估,该检验与方差分析(ANOVA)结合使用。还进行了正态性检验,以了解与假设相关的p值以确认。
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Sensory Evaluation of Low Calorie Eggless Functional Cake
The purpose of this work is to prepare and evaluate a formulated functional eggless cake using key ingredients to incorporate nutritional value. The functional ingredients that were added to develop the batter were selected as prebiotic, probiotic, and stevia leaf powder. The aim of the study was to substitute the sugar content with a natural sweetener and to reduce the browning effect upon baking, followed by achieving a properly baked finished product with desirable sensory qualities. The shelf life study of the finished products was evaluated with respect to quality parameters, such as taste, color, flavor, texture, and visual microbial growth in different packaging materials. Various trials were made with less oil content, varying prebiotic and probiotic concentrations, and using percentage variations of stevia. The reduced oil percentage was done with the objective of developing a low-calorie cake that would provide health benefits for baked products. The food safety aspects in relation to chemical safety were also considered when using low oil percentage. All proximate analysis and antioxidant analysis were performed for functional baked products. The low-calorie developed product was evaluated with respect to some instrumental as well as sensory characteristics along with microbial analysis. Statistical analysis with respect to sensory qualities among different age groups was also evaluated using the Tuckey test (honestly significant difference test), which works in conjunction with ANOVA. A normality test was also performed to understand the p-value correlating the hypothesis to confirm.
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