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Multivariate study and regression analysis of gluten-free granola
- Source :
- Food Science and Technology v.34 n.1 2014, Food Science and Technology (Campinas), Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA), instacron:SBCTA, Food Science and Technology, Vol 34, Iss 1, Pp 127-134 (2014), Food Science and Technology, Volume: 34, Issue: 1, Pages: 127-134, Published: 25 FEB 2014
- Publication Year :
- 2014
- Publisher :
- Sociedade Brasileira de Ciência e Tecnologia de Alimentos, 2014.
-
Abstract
- 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.
- Subjects :
- Multivariate statistics
cereal
Water activity
Linolenic acid
principal component analysis
Amaranth
lcsh:TX341-641
fatty acids
chemistry.chemical_compound
lcsh:Technology (General)
T1-995
TX341-641
Food science
Technology (General)
chemistry.chemical_classification
Nutrition. Foods and food supply
Fatty acid
Regression analysis
chemistry
Principal component analysis
pseudo-cereals
lcsh:T1-995
Gluten free
food science
lcsh:Nutrition. Foods and food supply
Biotechnology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Food Science and Technology v.34 n.1 2014, Food Science and Technology (Campinas), Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA), instacron:SBCTA, Food Science and Technology, Vol 34, Iss 1, Pp 127-134 (2014), Food Science and Technology, Volume: 34, Issue: 1, Pages: 127-134, Published: 25 FEB 2014
- Accession number :
- edsair.doi.dedup.....381da4516c59299e64fca8997bd55b85