TITLE:
HS-SPME/GC-MS Analysis of VOC and Multivariate Techniques Applied to the Discrimination of Brazilian Varieties of Mango
AUTHORS:
Clícia Maria de Jesus Benevides, Marcos de Almeida Bezerra, Pedro Afonso P. Pereira, Jailson Bittencourt de Andrade
KEYWORDS:
Mango; Volatiles; Multivariate Techniques; HS-SPME/GC-MS; Chemometrics
JOURNAL NAME:
American Journal of Analytical Chemistry,
Vol.5 No.3,
February
17,
2014
ABSTRACT: The present study analyzed the volatile compounds of three mango
varieties (Tommy Atkins, Rosa and Espada) using the static headspace technique
with SPME coupled to CG-MS. Multivariate methodologies, such as factorial
design and response surface methodology, were used to optimize the conditions of
adsorption and desorption of these substances. The data were evaluated by using
principal components analysis (PCA) and hierarchical grouping analysis, in
order to visualize grouping tendencies of volatile compounds. Thirty-seven
volatile compounds belonging to different chemical classes, such as esters,
terpenes, alcohols and others, were tentatively identified in the three
varieties of mango. Amongst them, twenty-three presented chromatographic peaks
with relative areas larger than 2%. The multivariate analysis made it possible
to visualize the grouping tendencies of the mango samples, according to the
presence of their respective volatile substances, and enabled the identification
of the groups of substances responsible for the discrimination among the three
varieties.