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Multivariate analysis of fresh-cut carambola slices stored under different temperatures
Authors:Gustavo HA Teixeira  José F DuriganAntônio S Ferraudo  Ricardo E AlvesTimothy J O’Hare
Institution:a Universidade de São Paulo, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Departamento de Análises Clínicas, Toxicológicas e Bromatológicas. Av. do Café, s/n. Campus Universitário da USP, Ribeirão Preto, São Paulo, CEP 14.040-903, Brazil
b Universidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Departamento de Tecnologia, Via de acesso Prof. Paulo Donato Castellanes s/n, 14.884-900, Jaboticabal, SP, Brazil
c UNESP, Faculdade de Ciências Agrárias e Veterinárias, Departamento de Ciências Exatas, Via de acesso Prof. Paulo Donato Castellanes s/n, 14.884-900, Jaboticabal, SP, Brazil
d EMBRAPA Agroindústria Tropical, C.P. 3761, Rua Dra Sara Mesquita, 2270, Planalto do Pici, 60.511-110, Fortaleza, CE, Brazil
e DPI&F, Gatton Research Station, Locked bag 7, Mail service 437, Gatton 4343 Qld, Australia
Abstract:Quality of fresh-cut carambola (Averrhoa carambola L.) is related to many chemical and biochemical variables especially those involved with softening and browning, both influenced by storage temperature. To study these effects, a multivariate analysis was used to evaluate slices packaged in vacuum-sealed polyolefin bags, and stored at 2.5 °C, 5 °C and 10 °C, for up to 16 d. The quality of slices at each temperature was correlated with the duration of storage, O2 and CO2 concentration in the package, physical chemical constituents, and activity of enzymes involved in softening (PG) and browning (PPO) metabolism. Three quality groups were identified by hierarchical cluster analysis, and the classification of the components within each of these groups was obtained from a principal component analysis (PCA). The characterization of samples by PCA clearly distinguished acceptable and non-acceptable slices. According to PCA, acceptable slices presented higher ascorbic acid content, greater hue angles (°h) and final lightness (L-5) in the first principal component (PC1). On the other hand, non-acceptable slices presented higher total pectin content, PPO activity in the PC1. Non-acceptable slices also presented higher soluble pectin content, increased pectin solubilisation and higher CO2 concentration in the second principal component (PC2) whereas acceptable slices showed lower total sugar content. The hierarchical cluster and PCA analyses were useful for discriminating the quality of slices stored at different temperatures.
Keywords:Averrhoa carambola L    Hierarchical cluster analysis  Principal component analysis  Polyphenol oxidase  Polygalacturonase  Browning
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