Matches in SemOpenAlex for { <https://semopenalex.org/work/W3035596378> ?p ?o ?g. }
- W3035596378 endingPage "127330" @default.
- W3035596378 startingPage "127330" @default.
- W3035596378 abstract "Conventional analysis, electronic senses and HS-SPME-GC-MS were applied to evaluate the effects of pretreatment methods and leaching methods on jujube wine quality. Significant differences (p < 0.05) in the levels of alcohol content, color, taste and aroma were observed among all the jujube wine samples, in which the pulp and pectase fermented jujube wine was the best among all. Moreover, rather than taste, aroma is the most significantly (p < 0.05) affected. In regard to aroma, a total of 182 volatile compounds were identified by HS-SPME-GC-MS. It was found that the blended-into-pulp treatment and the leached-by-pectase treatment had notable positive effects on jujube wine. The pulp and pectase fermented jujube wines exhibited the highest concentration of total volatile compounds as well as alcohols, esters, acids and aldehydes. Thus, the optimal pretreatment method and leaching method for jujube wine fermentation are blended-into-pulp and leached-by-pectase respectively." @default.
- W3035596378 created "2020-06-19" @default.
- W3035596378 creator A5010385452 @default.
- W3035596378 creator A5011585042 @default.
- W3035596378 creator A5027720418 @default.
- W3035596378 creator A5032610126 @default.
- W3035596378 creator A5051630294 @default.
- W3035596378 creator A5054717630 @default.
- W3035596378 creator A5055084493 @default.
- W3035596378 creator A5085790759 @default.
- W3035596378 date "2020-11-01" @default.
- W3035596378 modified "2023-10-02" @default.
- W3035596378 title "Effects of pretreatment methods and leaching methods on jujube wine quality detected by electronic senses and HS-SPME–GC–MS" @default.
- W3035596378 cites W117944474 @default.
- W3035596378 cites W1416633353 @default.
- W3035596378 cites W1490799055 @default.
- W3035596378 cites W1495046691 @default.
- W3035596378 cites W1963494113 @default.
- W3035596378 cites W1969920988 @default.
- W3035596378 cites W1986364353 @default.
- W3035596378 cites W1997685279 @default.
- W3035596378 cites W2017815390 @default.
- W3035596378 cites W2019194772 @default.
- W3035596378 cites W2032128966 @default.
- W3035596378 cites W2046140499 @default.
- W3035596378 cites W2062806747 @default.
- W3035596378 cites W2066686852 @default.
- W3035596378 cites W2077890864 @default.
- W3035596378 cites W2164904971 @default.
- W3035596378 cites W2335407452 @default.
- W3035596378 cites W2510458844 @default.
- W3035596378 cites W2521335702 @default.
- W3035596378 cites W2584522152 @default.
- W3035596378 cites W2594411295 @default.
- W3035596378 cites W2597254894 @default.
- W3035596378 cites W2602399349 @default.
- W3035596378 cites W2609183906 @default.
- W3035596378 cites W2736528774 @default.
- W3035596378 cites W2883141312 @default.
- W3035596378 cites W2889138339 @default.
- W3035596378 cites W2919275368 @default.
- W3035596378 cites W2947264680 @default.
- W3035596378 cites W2947328666 @default.
- W3035596378 cites W2955639295 @default.
- W3035596378 cites W939662741 @default.
- W3035596378 doi "https://doi.org/10.1016/j.foodchem.2020.127330" @default.
- W3035596378 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32569941" @default.
- W3035596378 hasPublicationYear "2020" @default.
- W3035596378 type Work @default.
- W3035596378 sameAs 3035596378 @default.
- W3035596378 citedByCount "52" @default.
- W3035596378 countsByYear W30355963782020 @default.
- W3035596378 countsByYear W30355963782021 @default.
- W3035596378 countsByYear W30355963782022 @default.
- W3035596378 countsByYear W30355963782023 @default.
- W3035596378 crossrefType "journal-article" @default.
- W3035596378 hasAuthorship W3035596378A5010385452 @default.
- W3035596378 hasAuthorship W3035596378A5011585042 @default.
- W3035596378 hasAuthorship W3035596378A5027720418 @default.
- W3035596378 hasAuthorship W3035596378A5032610126 @default.
- W3035596378 hasAuthorship W3035596378A5051630294 @default.
- W3035596378 hasAuthorship W3035596378A5054717630 @default.
- W3035596378 hasAuthorship W3035596378A5055084493 @default.
- W3035596378 hasAuthorship W3035596378A5085790759 @default.
- W3035596378 hasConcept C100544194 @default.
- W3035596378 hasConcept C142724271 @default.
- W3035596378 hasConcept C185592680 @default.
- W3035596378 hasConcept C188442228 @default.
- W3035596378 hasConcept C2780563676 @default.
- W3035596378 hasConcept C2910422012 @default.
- W3035596378 hasConcept C31903555 @default.
- W3035596378 hasConcept C55952523 @default.
- W3035596378 hasConcept C59920403 @default.
- W3035596378 hasConcept C71924100 @default.
- W3035596378 hasConcept C98861065 @default.
- W3035596378 hasConceptScore W3035596378C100544194 @default.
- W3035596378 hasConceptScore W3035596378C142724271 @default.
- W3035596378 hasConceptScore W3035596378C185592680 @default.
- W3035596378 hasConceptScore W3035596378C188442228 @default.
- W3035596378 hasConceptScore W3035596378C2780563676 @default.
- W3035596378 hasConceptScore W3035596378C2910422012 @default.
- W3035596378 hasConceptScore W3035596378C31903555 @default.
- W3035596378 hasConceptScore W3035596378C55952523 @default.
- W3035596378 hasConceptScore W3035596378C59920403 @default.
- W3035596378 hasConceptScore W3035596378C71924100 @default.
- W3035596378 hasConceptScore W3035596378C98861065 @default.
- W3035596378 hasFunder F4320326153 @default.
- W3035596378 hasLocation W30355963781 @default.
- W3035596378 hasLocation W30355963782 @default.
- W3035596378 hasOpenAccess W3035596378 @default.
- W3035596378 hasPrimaryLocation W30355963781 @default.
- W3035596378 hasRelatedWork W1905696492 @default.
- W3035596378 hasRelatedWork W2351440245 @default.
- W3035596378 hasRelatedWork W2355484783 @default.
- W3035596378 hasRelatedWork W2571290564 @default.
- W3035596378 hasRelatedWork W2761195259 @default.
- W3035596378 hasRelatedWork W3035596378 @default.
- W3035596378 hasRelatedWork W4207026058 @default.