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Pattern recognition of lipase-catalyzed or chemically interesterified fat blends containing n-3 polyunsaturated fatty acids
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Orientador(es)
Resumo(s)
The feasibility to discriminate among samples of different fat blends prior and after inorganic or lipasecatalyzed
interesterification, via pattern recognition techniques [principal component analysis (PCA) and
discriminant analysis (DA)], was investigated. Blends I and II, consisting of mixtures of palm stearin, palm
kernel oil and a concentrate of triacylglycerols (TAG) rich in n-3 polyunsaturated fatty acids (EPAX
4510TG or EPAX 2050TG) were used. These blends, prior (64 samples) and after interesterification,
catalyzed by an immobilized Thermomyces lanuginosa lipase (Lipozyme TL IM, 54 samples) or by sodium
methoxide (10 samples), were characterized by their acylglycerol profiles (25 chromatographic peaks)
and solid fat content (SFC) at 10, 20, 30 and 35 7C. PCA on the multivariate data (i) showed that the
initial samples were characterized by higher SFC and higher contents of high-melting TAG and (ii) suggested
two separate clusters of initial and interesterified samples. DA was performed on the multivariate
data to determine which of the 29 variables have discriminative power. When the 124 samples, characterized
by their acylglycerols, were grouped into (i) initial and interesterified samples of blends I or II
(four groups) or (ii) also by the catalyst used (six groups), 98.4% of the samples were correctly classified
Descrição
Research Paper
Palavras-chave
acylglycerol profile interesterification pattern recognition solid fat content Thermomyces lanuginosa lipase
Contexto Educativo
Citação
"European Journal of Lipid Science and Technology". ISSN 1438-7697. 110(10) (2008) 893-904