2012
DOI: 10.3168/jds.2012-5526
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Reduced fat and sugar vanilla ice creams: Sensory profiling and external preference mapping

Abstract: The aims of this study were (1) to map sensory attributes of vanilla ice cream with reduced fat and sugar, and (2) to determine drivers of liking by applying external preference mapping and reveal the relationship between descriptive attributes and hedonic judgments using the partial least squares method. Descriptive sensory profiles (n=11) and consumer test (n=117) of 6 samples of vanilla ice cream (3 traditional and 3 with reduced fat and sugar) were determined. The attributes brightness and sweet aftertaste… Show more

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Cited by 106 publications
(106 citation statements)
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“…For new dairy product development it is important to perform the quantitative characterization of the sensory attributes of the product, and this can be achieve using a trained panel and quantitative descriptive analysis principles (Cadena, Cruz, Faria, & Bolini, 2012;Santos et al, 2013). The addition of prebiotics in chocolate dairy desserts showed no statistically differences (P > 0.05) when compared with integral desserts without prebiotics; the samples were similar in relation to some attributes of appearance, aroma, flavor and texture.…”
Section: Discussionmentioning
confidence: 97%
“…For new dairy product development it is important to perform the quantitative characterization of the sensory attributes of the product, and this can be achieve using a trained panel and quantitative descriptive analysis principles (Cadena, Cruz, Faria, & Bolini, 2012;Santos et al, 2013). The addition of prebiotics in chocolate dairy desserts showed no statistically differences (P > 0.05) when compared with integral desserts without prebiotics; the samples were similar in relation to some attributes of appearance, aroma, flavor and texture.…”
Section: Discussionmentioning
confidence: 97%
“…The QDA is widely applied to dairy foods (Gaze et al, 2015;Morais et al, 2014a;Cadena et al, 2012). According to the methodology defined for this sensory analysis, the products with characteristic flavor closer to the product considered standard by trained judges received the highest marks.…”
Section: Resultsmentioning
confidence: 99%
“…Machine learning is thus closely related to the fields of statistics and data mining. Partial least squares (PLS) is long history and widely used method in multivariate analysis and machine learning, being used in several fields as food science (Cadena et al, 2012;Cruz et al, 2013;Matera et al, 2014) and others (Krishnan et al, 2011;Ma et al, 2014). LS-SVM is a relatively new but effective machine learning method that has been applied successfully in some fields.…”
Section: Introductionmentioning
confidence: 98%