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Characterization of corn landraces planted grown in the campos gerais region (Paraná, Brazil) for industrial utilization 52
Pinto,Alessandra Teixeira Barbosa; Pereira,Joyce; Oliveira,Tatiana Roselena de; Prestes,Rosilene Aparecida; Mattielo,Rodrigo Rodrigues; Demiate,Ivo Mottin.
This work has the objective of characterizing twenty corn landraces grown in the Campos Gerais region (Paraná State) in relation to its chemical composition (moisture, ash, protein, ether extract, dietary fiber and starch) and physical properties (weight of 1000 grains, real density, flotation index, granulometry and color). In addition, also the lab scale processing of the kernels from the varieties was carried out for producing starch; starch purity was evaluated by measuring its protein contamination. Amylose contents and viscoamylograph profile were also evaluated. The results showed that the evaluated landraces have differences in chemical composition as well as in pericarp/endosperm/germ proportions and consequently it should have different...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Maize landraces; Chemical composition; Starch; Physical properties; Rapid viscoanalyzer.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132009000700003
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Multivariate analysis of the spectroscopic profile of the sugar fraction of apple pomace 52
Gabriel,Luciana Sutil; Prestes,Rosilene Aparecida; Pinheiro,Luís Antonio; Barison,Andersson; Wosiacki,Gilvan.
Pomace, the main by-product of apple juice processing, contains all the fruit's compounds such as minerals, sugars, fibers, enzymes and secondary metabolites after bioprocessing. Dried pomace from four apple varieties (Gala, Fuji, Catarina and Joaquina) was used to extract fructose, glucose, and sucrose, the main soluble sugars contained in apple pomace, to verify the possible use of the sugar fractions. The concentrated sugars were characterized by NMR and FTIR. The partial least squares method (PLS) applied to the NMR and FTIR spectra revealed large amounts of fructose, glucose, and sucrose, without the presence of others compounds. Principal component analysis (PCA) discriminated the studied apple varieties, with a 99% level of significance, as function...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Apple pomace; NMR; FTIR; Multivariate analysis.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132013000300012
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Minerals consumption by Acetobacter xylinum on cultivation medium on coconut water 58
Almeida,Denise Milleo; Prestes,Rosilene Aparecida; Fonseca,Adriel Ferreira da; Woiciechowski,Adenise L.; Wosiacki,Gilvan.
The objective of this work is to verifying the consume of the minerals K, Na, Fe, Mg, P, S-SO4-2,B,N Total Kjedahl (NTK), NO3--N, and NH4+-N in the production of bacterial cellulose by Acetobacter xylinum, according to the medium and the manner of cultivation. The fermentative process was in ripe and green coconut water. K and Na were determined by flame emission photometry, Mg and Fe by atomic absorption spectrophotometry, P by molecular absorption spectrophotometry, S-SO4-2 by barium sulphate turbidimetry, B by Azomethin-H method, NTK by Kjeldahl method, N-NO3-and N-NH4+ by vapor distillation with magnesium oxide and Devarda's alloy, respectively. In Fermentation of ripe coconut water there were higher consumption of K (69%), Fe (84,3%), P (97,4%),...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Minerals; Bacterial cellulose; Acetobacter xylinum.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822013000100030
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Chemical pattern of brazilian apples: a chemometric approach based on the Fuji and Gala varieties 116
Vieira,Renato Giovanetti; Prestes,Rosilene Aparecida; Denardi,Frederico; Nogueira,Alessandro; Wosiacki,Gilvan.
The chemical composition of apple juices may be used to discriminate between the varieties for consumption and those for raw material. Fuji and Gala have a chemical pattern that can be used for this classification. Multivariate methods correlate independent continuous chemical descriptors with the categorical apple variety. Three main descriptors of apple juice were selected: malic acid, total reducing sugar and total phenolic compounds. A chemometric approach, employing PCA and SIMCA, was used to classify apple juice samples. PCA was performed with 24 juices from Fuji and Gala, and SIMCA, with 15 juices. The exploratory and predictive models recognized 88% and 64%, respectively, as belonging to a mixed domain. The apple juice from commercial fruits shows...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Chemometry; Chemical descriptor; Pattern recognition.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612011000200021
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