“…Orange juice from concentrate is intermediate between these two extremes (12)(13)(14). Although sensory measurements were not determined for the samples used in this study, the quantitative information correlates generally with the expected levels of fresh orange flavor for the various products studied, just as found in our earlier studies (9,11,15).…”
Section: Comparison Of Orange Drinks and Pure Juicessupporting
confidence: 76%
“…1950 mg/L of ethanol. Each standard solution was kept for 3 h at room temperature and then overnight at 5 °C to permit equilibration of the hydrocarbon standards between pulp and juice (9). The bland orange juice base was prepared by reconstitution to 11.8 °Brix of concentrated 60 °Brix juice that contained no volatile flavor constituents (except a trace of limonene).…”
Section: Standardsmentioning
confidence: 99%
“…Multivariate analysis techniques such as principal components (PC) analysis have been used recently to detect patterns of differences among groups of citrus juices or flavor fractions (9). These patterns are not readily apparent by examining quantitative information on individual constituents such as that summarized in Table 1.…”
“…Orange juice from concentrate is intermediate between these two extremes (12)(13)(14). Although sensory measurements were not determined for the samples used in this study, the quantitative information correlates generally with the expected levels of fresh orange flavor for the various products studied, just as found in our earlier studies (9,11,15).…”
Section: Comparison Of Orange Drinks and Pure Juicessupporting
confidence: 76%
“…1950 mg/L of ethanol. Each standard solution was kept for 3 h at room temperature and then overnight at 5 °C to permit equilibration of the hydrocarbon standards between pulp and juice (9). The bland orange juice base was prepared by reconstitution to 11.8 °Brix of concentrated 60 °Brix juice that contained no volatile flavor constituents (except a trace of limonene).…”
Section: Standardsmentioning
confidence: 99%
“…Multivariate analysis techniques such as principal components (PC) analysis have been used recently to detect patterns of differences among groups of citrus juices or flavor fractions (9). These patterns are not readily apparent by examining quantitative information on individual constituents such as that summarized in Table 1.…”
“…The juice base was prepared by reconstitution to 11.8 "Brix of concentrated orange juice (pumpout) from an evaporator that contained no added flavor fractions. Each standard solution was kept for 3 h at room temperature and then overnight at 5C to permit equilibration of the hydrocarbon standards between pulp and juice (Shaw et al 1994b). …”
Pasteurized orange juice which was packaged in laminated gable top cartons was stored for the expected shelf-life of 9 weeks at 2C and at -18C (control sample). Periodic quantitative analysis of 46 volatile constituents by headspace gas chromatography (HSGC) showed a gradual decrease during the$rst 4 weeks and a more rapid drop after 5-6 weeks of storage. The decrease was greater for water soluble than for oil soluble constituents. HSGC of the laminated composite carton revealed an initial rapid absorption of many volatile constituents. A sensory panel found a significant decrease in the hedonic rating ofjuice stored for 7 weeks at 2C compared with that for the starting juice. Triangle diflerence and paired preference tests showed no diflerences between juices stored at 2C and those stored at -18C for the same length of time, and no preference for either juice stored at 7 or 9 weeks for the same length of time.
“…In spite of the extensive research to classify orange juice products by statistical treatment of analflcal measurements (Carter et al 1975;Rouseff and Nagy 1982;Page 1986;Ndcdel et al 1988;Shaw et al 1993Shaw et al , 1995 only a few studies have been conducted to classify grapefruit juice products (Rouseff et al 1980;Fellers et al 1986;Pino et al 1986bPino et al , 1994.…”
Isolation of volatile constituents from fresh and processed grapefruit juice by a simple technique afforded up to 20 components in each juice type. Many of these constituents are known to contribute to grapefruit juice flavor. Multivariate analysis utilizing the concentration data of twelve constituents allowed classlfication of the juice samples according to processing conditions. The classification corresponded to expectedflavor quality.
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