2010
DOI: 10.1016/j.lwt.2010.03.010
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Characterization of different fruit wines made from cacao, cupuassu, gabiroba, jaboticaba and umbu

Abstract: a b s t r a c tThe main aim of this work was to produce fruit wines from pulp of gabiroba, cacao, umbu, cupuassu and jaboticaba and characterize them using gas chromatographyemass spectrometry for determination of minor compounds and gas chromatography-flame ionization detection for major compounds. Ninetynine compounds (C 6 compounds, alcohols, monoterpenic alcohols, monoterpenic oxides, ethyl esters, acetates, volatile phenols, acids, carbonyl compounds, sulfur compounds and sugars) were identified in fruit … Show more

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Cited by 163 publications
(174 citation statements)
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References 25 publications
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“…This ensures not only the linear gradient pattern in each response data to be extracted, but also more complex features such as patches or gaps, which require the quadratic and cubic terms of coordinates and their interactions to be correctly described. 15,22 In order to avoid multicolinearity, significant monomials were selected by the multivariate stepwise regression method, which retained the following terms: x 2 and y 2 (oil data), and x, y, y 2 and y 3 (phenolic data). A Monte Carlo permutation test of the trace statistics (sum of all canonical eigenvalues) confirmed the significance of the canonical relationship between each Table 2)), it represents 47.4% in phenolics and only 1.3% in oil variations.…”
Section: Resultsmentioning
confidence: 99%
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“…This ensures not only the linear gradient pattern in each response data to be extracted, but also more complex features such as patches or gaps, which require the quadratic and cubic terms of coordinates and their interactions to be correctly described. 15,22 In order to avoid multicolinearity, significant monomials were selected by the multivariate stepwise regression method, which retained the following terms: x 2 and y 2 (oil data), and x, y, y 2 and y 3 (phenolic data). A Monte Carlo permutation test of the trace statistics (sum of all canonical eigenvalues) confirmed the significance of the canonical relationship between each Table 2)), it represents 47.4% in phenolics and only 1.3% in oil variations.…”
Section: Resultsmentioning
confidence: 99%
“…(1) where A = (A 520 nm -A 700 nm ) pH 1.0 -(A 520 nm -A 700 nm ) pH 4.5 (2) and MW (molecular weight) = 449 g mol -1 , DF = dilution factor (50), l = 1 the cuvette pathlength in cm and e = 26900 L mol -1 cm -1 molar extinction coefficient for cyanidin 3-glucoside. Measurements were performed in triplicate.…”
Section: Anthocyanin Contentmentioning
confidence: 99%
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“…6,7 In addition, volatile compounds, alcohols and organic acids found in jabuticaba wines and spirits have been characterized. 3,8 However, there are as yet no reports regarding the chemical changes that occur during jabuticaba fermentation process.Evaluation of Chemical Changes during Myrciaria cauliflora (Jabuticaba Fruit) Fermentation J. Braz. Chem.…”
mentioning
confidence: 99%