Multivariate study and regression analysis of gluten-free granola

• Main Authors: Lilian Maria Pagamunici, Aloisio Henrique Pereira de Souza, Aline Kirie Gohara, Alline Aparecida Freitas Silvestre, Jesuí Vergílio Visentainer, Nilson Evelázio de Souza, Sandra Terezinha Marques Gomes, Makoto Matsushita
• Format: Article
• Language: English
• Published: Sociedade Brasileira de Ciência e Tecnologia de Alimentos 2014-03-01
• Series: Food Science and Technology
• Subjects: cereal; pseudo-cereals; food science; principal component analysis; fatty acids
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612014000100019&lng=en&tlng=en

This study developed a gluten-free granola and evaluated it during storage with the application of multivariate and regression analysis of the sensory and instrumental parameters. The physicochemical, sensory, and nutritional characteristics of a product containing quinoa, amaranth and linseed were evaluated. The crude protein and lipid contents ranged from 97.49 and 122.72 g kg-1 of food, respectively. The polyunsaturated/saturated, and n-6:n-3 fatty acid ratios ranged from 2.82 and 2.59:1, respectively. Granola had the best alpha-linolenic acid content, nutritional indices in the lipid fraction, and mineral content. There were good hygienic and sanitary conditions during storage; probably due to the low water activity of the formulation, which contributed to inhibit microbial growth. The sensory attributes ranged from 'like very much' to 'like slightly', and the regression models were highly fitted and correlated during the storage period. A reduction in the sensory attribute levels and in the product physical stabilisation was verified by principal component analysis. The use of the affective test acceptance and instrumental analysis combined with statistical methods allowed us to obtain promising results about the characteristics of gluten-free granola.