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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria de Alimentos. Para informações adicionais entre em contato com ctaa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
03/09/2013 |
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Data da última atualização: |
03/09/2013 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GURAK, P. D.; DELIZA, R.; CABRAL, L. M. C.; ROCHA-LEÃO, M. H.; FREITAS, D. de G. C. |
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Afiliação: |
POLIANA DEYSE GURAK, UFRJ/UFRGS; ROSIRES DELIZA, CTAA; LOURDES MARIA CORREA CABRAL, CTAA; MARIA HELENA MIGUEZ DA ROCHA-LEÃO, UFRJ; DANIELA DE GRANDI CASTRO FREITAS, CTAA. |
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Título: |
Concentrated grape juice by reverse osmosis following a consumer-driven approach. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Agro Food Industry Hi-Tech, v. 24, n. 3, p. 37-40, May/Jun. 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to evaluate the consumer acceptance of grape juice concentrated by reverse osmosis at 60 bar and 50°C. The concentrated juice was diluted and sweetened using just-about-right scale determined by consumers. The principal component analysis showed similarities between the reconstituted grape juice previously concentrated by reverse osmosis and the integral grape juice, which confirmed the potential of reverse osmosis process. The pre-concentration of grape juice by reverse osmosis tested in this study had a positive result due to the maintenance of the sensory characteristics of the grape juice. |
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Palavras-Chave: |
Aceitação; Processo de separação por membranas. |
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Thesagro: |
Consumidor. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01228naa a2200205 a 4500
001 1965466
005 2013-09-03
008 2013 bl uuuu u00u1 u #d
100 1 $aGURAK, P. D.
245 $aConcentrated grape juice by reverse osmosis following a consumer-driven approach.
260 $c2013
520 $aThis study aimed to evaluate the consumer acceptance of grape juice concentrated by reverse osmosis at 60 bar and 50°C. The concentrated juice was diluted and sweetened using just-about-right scale determined by consumers. The principal component analysis showed similarities between the reconstituted grape juice previously concentrated by reverse osmosis and the integral grape juice, which confirmed the potential of reverse osmosis process. The pre-concentration of grape juice by reverse osmosis tested in this study had a positive result due to the maintenance of the sensory characteristics of the grape juice.
650 $aConsumidor
653 $aAceitação
653 $aProcesso de separação por membranas
700 1 $aDELIZA, R.
700 1 $aCABRAL, L. M. C.
700 1 $aROCHA-LEÃO, M. H.
700 1 $aFREITAS, D. de G. C.
773 $tAgro Food Industry Hi-Tech$gv. 24, n. 3, p. 37-40, May/Jun. 2013.
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Registro original: |
Embrapa Agroindústria de Alimentos (CTAA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
22/01/2015 |
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Data da última atualização: |
24/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
BAILEY, J. C.; TEDESCHI, L. O.; MENDES, E. D. M.; SAWYER, J. E.; CARSTENS, G. E. |
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Afiliação: |
J. C. BAILEY, Department of Animal Science, Texas A&M University, College Station; L.O.TEDESCHI, Department of Animal Science, Texas A&M University, College Station; EGLEU DIOMEDES MARINHO MENDES, CPAP; J. E. SAWYER, Department of Animal Science, Texas A&M University, College Station; G. E. CARSTENS, Department of Animal Science, Texas A&M University, College Station. |
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Título: |
Technical note: evaluation of bimodal distribution models to determine meal criterion in heifers fed a high-grain diet. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Journal of Animal Science, v. 90, n. 8, p. 2750-2753, aug. 2012. |
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DOI: |
10.2527/jas2011-4634 |
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Idioma: |
Inglês |
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Conteúdo: |
Meals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defi ned as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fi tted to the log10-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fi t of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fi t for each individual. A x2 analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fi t were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater (P = 0.001) than the W-W combination (0.997 vs. 0.727). Our analysis indicated the G-W model had a statistically better fi t and is most likely the best approach to defi ne meal criterion in beef heifers fed high-grain diets. MenosMeals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defi ned as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fi tted to the log10-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fi t of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fi t for each individual. A x2 analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fi t were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater... Mostrar Tudo |
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Palavras-Chave: |
Meal criterion. |
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Thesagro: |
Bovino; Gado; Nutrição animal. |
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Thesaurus NAL: |
beef cattle; feeding behavior. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02473naa a2200253 a 4500
001 2006379
005 2016-03-24
008 2012 bl uuuu u00u1 u #d
024 7 $a10.2527/jas2011-4634$2DOI
100 1 $aBAILEY, J. C.
245 $aTechnical note$bevaluation of bimodal distribution models to determine meal criterion in heifers fed a high-grain diet.
260 $c2012
520 $aMeals are clusters of feedbunk visit (BV) events that are differentiated from the next meal by a nonfeeding interval that is longer compared with the nonfeeding intervals within a meal. The longest nonfeeding interval considered to be part of a meal is defi ned as the meal criterion. The objective of this study was to determine which combination of 2 probability density functions [(PDF): Gaussian normal (G), Weibull (W), Log-Normal, Gamma, and Gumbel] used in a bimodal distribution model had the best fit of nonfeeding interval data collected in beef heifers. Feeding behavior traits (572,627 total BV events) were measured in 119 heifers fed a high-grain diet (3.08 Mcal ME/kg DM), using a GrowSafe system for 66 d. The frequency and duration of BV events averaged 75 ± 15 events/d and 73.0 ± 22.3 min/d, respectively. The bimodal PDF combinations were fi tted to the log10-transformed interval lengths between BV events for each animal, using R mixdist package (2.13). The Akaike Information Criterion (AIC) was used to assess goodness of fi t of the 25 bimodal PDF combinations. The PDF model with the least AIC value was selected as the best fi t for each individual. A x2 analysis of the selected best PDF distribution across individuals revealed that 78.2% of the heifers best fi t were G-W or W-W PDF models. The likelihood probability estimates were calculated from the average AIC deviation of each model from the standard G-G model. The G-W likelihood probability estimate was greater (P = 0.001) than the W-W combination (0.997 vs. 0.727). Our analysis indicated the G-W model had a statistically better fi t and is most likely the best approach to defi ne meal criterion in beef heifers fed high-grain diets.
650 $abeef cattle
650 $afeeding behavior
650 $aBovino
650 $aGado
650 $aNutrição animal
653 $aMeal criterion
700 1 $aTEDESCHI, L. O.
700 1 $aMENDES, E. D. M.
700 1 $aSAWYER, J. E.
700 1 $aCARSTENS, G. E.
773 $tJournal of Animal Science$gv. 90, n. 8, p. 2750-2753, aug. 2012.
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