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Optimization of Coffee-Gelatin Shot Formulations Based on Physicochemical, Rheological and Sensory Properties Using Response Surface Methodology 利用响应面方法,基于理化、流变和感官特性优化咖啡-明胶喷雾配方
Pub Date : 2023-12-07 DOI: 10.5296/jfi.v7i1.21518
Pablo Andres Sotomayor Vinan, Monik Manish Ruparel, Resha Tandukar, Pranabendu Mitra
The objective of this study was to optimize the coffee content and alcohol content of the formulations of coffee-gelatin shots based on physicochemical, rheological and sensory properties of the products. Because the coffee content and alcohol content influenced those properties of coffee-gelatin shots significantly which were related to the consumers’ acceptance. Thirteen different coffee-gelatin shots for nine formulations based on CCRD were developed and the sensory properties (overall acceptability, color, flavor and texture), L-value, pH and viscosity of coffee-gelatin shots were determined. The regression models were developed to predict the response variables as a function of independent variables. The response surface models were developed to understand the effects of independent variables on the responses. A desirability function was used to determine an optimum formulation using a numerical optimization technique. All contour plots of response surface models were superimposed to visualize an optimum region. The regression models could predict the sensory properties, L-value, pH and viscosity of coffee-gelatin shots as a function of coffee content and alcohol content with an accuracy of 77-99% depending on the properties of coffee-gelatin shots. The coffee content and alcohol content affected the sensory properties, L-value and viscosity of coffee-gelatin shots significantly (p<0.05). The optimization results obtained using numerical and graphical optimization techniques indicated that a combination of coffee (2.50 -3.00 g) and alcohol (5.25-6.75 mL) was the optimum formulation of a coffee-gelatin shots that improved the sensory properties, L-value, pH and viscosity of the coffee-gelatin shots. This optimum formulation of coffee-gelatin shots is expected to be useful for commercial manufacturing of consumers’ desired coffee-gelatin shots.
本研究的目的是根据产品的物理化学、流变学和感官特性,优化咖啡明胶注射剂配方的咖啡含量和酒精含量。因为咖啡含量和酒精含量对咖啡明胶丸的这些特性有显著影响,而这些特性与消费者的接受程度有关。研究了基于CCRD的9种配方的13种不同的咖啡明胶,并测定了咖啡明胶的感官特性(总体可接受度、颜色、风味和质地)、l值、pH值和粘度。建立了回归模型来预测响应变量作为自变量的函数。建立了响应面模型,以了解自变量对响应的影响。利用理想函数,利用数值优化技术确定了最优配方。将各响应面模型的等值线图进行叠加,得到最优区域。该回归模型可以根据咖啡明胶的特性预测咖啡明胶的感官特性、l值、pH值和粘度随咖啡含量和酒精含量的变化,准确度在77 ~ 99%之间。咖啡含量和酒精含量对咖啡明胶的感官特性、l值和粘度有显著影响(p<0.05)。通过数值和图形优化技术得到的优化结果表明,咖啡(2.50 ~ 3.00 g)和酒精(5.25 ~ 6.75 mL)的组合是咖啡明胶镜头的最佳配方,可以提高咖啡明胶镜头的感官性能、l值、pH值和粘度。这一最佳配方的咖啡-明胶镜头预计是有用的商业生产的消费者所需的咖啡-明胶镜头。
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Journal of food industry
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