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Characteristic Volatiles and Cultivar Classification in 35 Apple Varieties: A Case Study of Two Harvest Years
by
Wu, Xinye
, Bi, Jinfeng
, Fauconnier, Marie-Laure
in
1-Hexanol
/ acetates
/ Acetic acid
/ Agriculture & agronomie
/ Agriculture & agronomy
/ apple
/ Apple, VOCS
/ Apples
/ Aroma compounds
/ Butanol
/ case studies
/ Chemicals
/ Chemistry
/ Chimie
/ Classification
/ Cultivars
/ Discriminant analysis
/ Dodecanol
/ Food science
/ Fruits
/ Germplasm
/ Hexanal
/ Hexanol
/ HS-SPME-GC-MS
/ Life sciences
/ Linalool
/ multivariate analysis
/ odor-active compounds
/ Olfactory discrimination
/ Olfactory discrimination learning
/ Physical, chemical, mathematical & earth Sciences
/ Physique, chimie, mathématiques & sciences de la terre
/ principal component analysis
/ Principal components analysis
/ Sciences du vivant
/ Solid phase methods
/ volatile
/ Volatile compounds
2022
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Characteristic Volatiles and Cultivar Classification in 35 Apple Varieties: A Case Study of Two Harvest Years
by
Wu, Xinye
, Bi, Jinfeng
, Fauconnier, Marie-Laure
in
1-Hexanol
/ acetates
/ Acetic acid
/ Agriculture & agronomie
/ Agriculture & agronomy
/ apple
/ Apple, VOCS
/ Apples
/ Aroma compounds
/ Butanol
/ case studies
/ Chemicals
/ Chemistry
/ Chimie
/ Classification
/ Cultivars
/ Discriminant analysis
/ Dodecanol
/ Food science
/ Fruits
/ Germplasm
/ Hexanal
/ Hexanol
/ HS-SPME-GC-MS
/ Life sciences
/ Linalool
/ multivariate analysis
/ odor-active compounds
/ Olfactory discrimination
/ Olfactory discrimination learning
/ Physical, chemical, mathematical & earth Sciences
/ Physique, chimie, mathématiques & sciences de la terre
/ principal component analysis
/ Principal components analysis
/ Sciences du vivant
/ Solid phase methods
/ volatile
/ Volatile compounds
2022
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Characteristic Volatiles and Cultivar Classification in 35 Apple Varieties: A Case Study of Two Harvest Years
by
Wu, Xinye
, Bi, Jinfeng
, Fauconnier, Marie-Laure
in
1-Hexanol
/ acetates
/ Acetic acid
/ Agriculture & agronomie
/ Agriculture & agronomy
/ apple
/ Apple, VOCS
/ Apples
/ Aroma compounds
/ Butanol
/ case studies
/ Chemicals
/ Chemistry
/ Chimie
/ Classification
/ Cultivars
/ Discriminant analysis
/ Dodecanol
/ Food science
/ Fruits
/ Germplasm
/ Hexanal
/ Hexanol
/ HS-SPME-GC-MS
/ Life sciences
/ Linalool
/ multivariate analysis
/ odor-active compounds
/ Olfactory discrimination
/ Olfactory discrimination learning
/ Physical, chemical, mathematical & earth Sciences
/ Physique, chimie, mathématiques & sciences de la terre
/ principal component analysis
/ Principal components analysis
/ Sciences du vivant
/ Solid phase methods
/ volatile
/ Volatile compounds
2022
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Characteristic Volatiles and Cultivar Classification in 35 Apple Varieties: A Case Study of Two Harvest Years
Journal Article
Characteristic Volatiles and Cultivar Classification in 35 Apple Varieties: A Case Study of Two Harvest Years
2022
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Overview
A large number of apple varieties (35) from the same germplasm were investigated over two consecutive harvest years. A total of 39 volatile compounds were identified by HS-SPME-GC-MS, and quantified by external standards. Principal component analysis was applied to study the relationship between varieties and volatiles. To obtain better discrimination, 23 of 35 apple varieties were classified into four cultivars and good classification could be observed by partial least squares discriminant analysis. Ethyl 2-methylbutyrate, 2-methyl-1-butanol, Z-3-hexenyl acetate, E-2-hexen-1-ol, linalool and dodecanol were the most important variables to discriminate apple cultivars. Based on the volatile concentration and thresholds, ethyl 2-methylbutyrate, hexanal, 1-hexanol, E-2-nonenal and linalool were the critical characterized odor-active compounds among 35 apple varieties over two harvest years. From the present work, seasonal effects greatly influenced the formation of volatiles.
Publisher
MDPI AG,MDPI
Subject
/ acetates
/ apple
/ Apples
/ Butanol
/ Chimie
/ Fruits
/ Hexanal
/ Hexanol
/ Linalool
/ Olfactory discrimination learning
/ Physical, chemical, mathematical & earth Sciences
/ Physique, chimie, mathématiques & sciences de la terre
/ principal component analysis
/ Principal components analysis
/ volatile
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