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Exploratory analysis of avocado extracts by GC-MS: new insights into the avocado fruit ripening process

Authors

HURTADO FERNÁNDEZ, ELENA, Bajou, A. , Morales, J. C. , Fernandez-Gutierrez, A. , Carrasco-Pancorbo, A.

External publication

Si

Means

Anal. Methods

Scope

Article

Nature

Científica

JCR Quartile

SJR Quartile

JCR Impact

1.915

SJR Impact

0.593

Publication date

01/01/2015

ISI

000360114100039

Abstract

Herewith the usefulness of a gas chromatography-electron ionization-quadrupole mass spectrometry (GC-EI-Q MS) methodology has been evaluated for the identification of potential ripening or variety markers of the avocado fruit. A selection of 13 avocado varieties at two diverse ripening degrees was made and their derivatized extracts were analyzed by GC-MS. Even though the method was able to identify about 60 metabolites within a single run, the approach used was more exploratory, and data processing and analysis steps were carried out, implying filtering, normalization, principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). 17 compounds were selected as the most influential to be considered in PCA and clustering analysis by the k-means method. To corroborate further on the metabolic changes associated with ripening, a two class PLS-DA model was built, identifying abscisic acid, linoleic acid, aspartic acid and mannoheptulose as the compounds with the highest influence in the model.

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