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Sensory evaluation and physicochemical optimisation of soy-based desserts using response surface methodology

Author:
Granato, Daniel, Ribeiro, Jéssica Caroline Bigaski, Castro, Inar Alves, Masson, Maria Lucia
Source:
Food chemistry 2010 v.121 no.3 pp. 899-906
ISSN:
0308-8146
Subject:
desserts, soy protein, guavas, sensory properties, response surface methodology, optimization, physicochemical properties, fruit juices, water activity, color, acidity, pH, iron, carotenoids, nutrient content, food composition, palatability, texture
Abstract:
The objective of this study was to develop a dessert that contains soy protein (SP) (1%, 2%, 3%) and guava juice (GJ) (22%, 27%, 32%) using Response Surface Methodology (RSM) as the optimisation technique. Water activity, physical stability, colour, acidity, pH, iron, and carotenoid contents were analysed. Affective tests were performed to determine the degree of liking of colour, creaminess, and acceptability. The results showed that GJ increased the values of redness, hue angle, chromaticity, acidity, and carotenoid content, while SP reduced water activity. Optimisation suggested a dessert containing 32% GJ and 1.17% SP as the best proportion of these components. This sample was considered a source of fibres, ascorbic acid, copper, and iron and garnered scores above the level of ‘slightly liked' for sensory attributes. Moreover, RSM was shown to be an adequate approach for modelling the physicochemical parameters and the degree of liking of creaminess of desserts.
Agid:
779446