Identifying ideal product composition of chocolate-flavored milk using preference mapping

Autor: Mohammadreza Mohebbi, Russell Keast, Catherine Georgina Russell, Penelope Oliver, M.M. Chayan Mahmud, Dipendra Kumar Mahato, Shirani Gamlath, Djin Gie Liem, Sara Cicerale
Rok vydání: 2021
Předmět:
Zdroj: Journal of food scienceREFERENCES. 86(7)
ISSN: 1750-3841
Popis: The World Health Organization (WHO) recommends cutting down added sugar in processed foods and beverages. There is a growing concern for increased calorie intake from added sugar in flavored milk. To understand how to effectively reduce added sugar in flavored milk, the influence of other nutritional components such as percentage of fat, protein, and salt need to be accounted for as they are the determinants for color, flavor and mouthfeel attributes that ultimately influence consumer liking. Therefore, this study aims to identify the ideal product composition of commercial chocolate flavored milk samples and to link the existing variations to consumers' liking data using External Preference Mapping (EPM). Thirty-four commercial chocolate milk samples systematically varying in compositional profile (sugar, fat, protein, salt, stabilizer and sweetener) were analysed by Principal Component Analysis (PCA) with a subset of 10 chocolate milk samples varying in product composition (fat, protein, salt and sugar) selected for consumer evaluation. Consumers (n = 235) evaluated these 10 chocolate milk samples for overall liking using a 9-point hedonic scale. Significant differences (p
Databáze: OpenAIRE