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Techniques to evaluate changes in the nutritional profile of food products
Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil; Food and Nutrition Research Center (NAPAN/USP), Food Research Center (FoRC/CEPID/FAPESP), São Paulo, SP, Brazil.ORCID iD: 0000-0003-4627-6291
Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil; Food and Nutrition Research Center (NAPAN/USP), Food Research Center (FoRC/CEPID/FAPESP), São Paulo, SP, Brazil.
Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil; Food and Nutrition Research Center (NAPAN/USP), Food Research Center (FoRC/CEPID/FAPESP), São Paulo, SP, Brazil.
Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo (USP), São Paulo, SP, Brazil; Food and Nutrition Research Center (NAPAN/USP), Food Research Center (FoRC/CEPID/FAPESP), São Paulo, SP, Brazil.
2016 (English)In: Journal of Food Composition and Analysis, ISSN 0889-1575, E-ISSN 1096-0481, Vol. 53, p. 1-6Article in journal (Refereed) Published
Abstract [en]

Food products are continuously reformulated by manufacturers; however, the monitoring of chemical compositional changes is rare. The objective of this study was perform a comparative evaluation of the nutritional profile of specific Brazilian food groups from 2003 and 2013 using various methods of analysis. Amounts of carbohydrate, lipid, protein, dietary fiber (DF) and energy were evaluated in 259 products distributed in four food groups. Products from each group were evaluated by percentage change, separated by principal component analysis (PCA) and hierarchical cluster analysis (HCA). Separation was more clearly observed through the use of HCA than PCA. In the majority of the clusters, a significant difference was observed in at least one component. For instance, a large number of products (53%) in the milk group showed a reduction in the amount of lipids, and products in the cereals and meat groups showed increased amounts of DF (55%) and lipids (40%), respectively. Therefore, the joint techniques applied allowed nutrient content differences to be assessed both in a general manner (percentage change) as well as through the identification of the nutrients in foods that had changed significantly. The results emphasized the need for the periodic monitoring of the nutritional profile of foods.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 53, p. 1-6
Keywords [en]
Food composition, Food database, Food products, Food reformulation, Multivariate statistics, Percentage change, Food analysis, Nutritional composition
National Category
Food Science
Identifiers
URN: urn:nbn:se:oru:diva-83479DOI: 10.1016/j.jfca.2016.08.007ISI: 000386407400001Scopus ID: 2-s2.0-84984833749OAI: oai:DiVA.org:oru-83479DiVA, id: diva2:1445485
Note

This study was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).

Available from: 2020-06-23 Created: 2020-06-23 Last updated: 2024-10-01Bibliographically approved

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Ramos do Prado, Samira Bernardino

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