Identification of geographical origin of Keemun black tea based on its volatile composition coupled with multivariate statistical analyses

2019 ◽  
Vol 99 (9) ◽  
pp. 4344-4352 ◽  
Author(s):  
Shimao Fang ◽  
Jingming Ning ◽  
Wen‐Jing Huang ◽  
Gang Zhang ◽  
Wei‐Wei Deng ◽  
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Keyword(s):  
Geographical Origin ◽  
Black Tea ◽  
Statistical Analyses ◽  
Multivariate Statistical Analyses ◽  
Volatile Composition ◽  
Multivariate Statistical

Geographical origin discrimination of lentils (Lens culinaris Medik.) using 1H NMR fingerprinting and multivariate statistical analyses

2017 ◽  
Vol 237 ◽  
pp. 743-748 ◽  
Author(s):  
Francesco Longobardi ◽  
Valentina Innamorato ◽  
Annalisa Di Gioia ◽  
Andrea Ventrella ◽  
Vincenzo Lippolis ◽  
...  
Keyword(s):  
1H Nmr ◽  
Lens Culinaris ◽  
Geographical Origin ◽  
Statistical Analyses ◽  
Multivariate Statistical Analyses ◽  
Multivariate Statistical

Geographical origin of bivalve molluscs in coastal areas using natural radioactivity fingerprinting and multivariate statistical analyses: Andalusian coast as case of study

2019 ◽  
Vol 367 ◽  
pp. 706-714 ◽  
Author(s):  
Santiago Hurtado-Bermúdez ◽  
José Antonio Jurado-González ◽  
Juan Luis Santos ◽  
Carlos Francisco Díaz-Amigo ◽  
Irene Aparicio ◽  
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Keyword(s):  
Natural Radioactivity ◽  
Geographical Origin ◽  
Coastal Areas ◽  
Statistical Analyses ◽  
Multivariate Statistical Analyses ◽  
Bivalve Molluscs ◽  
Multivariate Statistical

scholarly journals APPLICATION OF MULTIVARIATE STATISTICAL ANALYSES TO THE STUDY OF FACTORS AFFECTING WHITE WINE VOLATILE COMPOSITION

2011 ◽  
Vol 34 (1) ◽  
pp. 40-50 ◽  
Author(s):  
VALERIA GALLO ◽  
RAFAEL BELTRÁN ◽  
FRANCISCO J. HEREDIA ◽  
M. LOURDES GONZÁLEZ-MIRET ◽  
DOLORES HERNANZ
Keyword(s):  
White Wine ◽  
Statistical Analyses ◽  
Multivariate Statistical Analyses ◽  
Volatile Composition ◽  
Multivariate Statistical ◽  
Factors Affecting
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