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Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA

Basil is a plant known worldwide for its culinary and health attributes. It counts more than a hundred and fifty species and many more chemo-types due to its easy cross-breeds. Each species and each chemo-type have a typical aroma pattern and selecting the proper one is crucial for the food industry...

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Autores principales: D’Alessandro, Alessandro, Ballestrieri, Daniele, Strani, Lorenzo, Cocchi, Marina, Durante, Caterina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270316/
https://www.ncbi.nlm.nih.gov/pubmed/34202506
http://dx.doi.org/10.3390/molecules26133842
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author D’Alessandro, Alessandro
Ballestrieri, Daniele
Strani, Lorenzo
Cocchi, Marina
Durante, Caterina
author_facet D’Alessandro, Alessandro
Ballestrieri, Daniele
Strani, Lorenzo
Cocchi, Marina
Durante, Caterina
author_sort D’Alessandro, Alessandro
collection PubMed
description Basil is a plant known worldwide for its culinary and health attributes. It counts more than a hundred and fifty species and many more chemo-types due to its easy cross-breeds. Each species and each chemo-type have a typical aroma pattern and selecting the proper one is crucial for the food industry. Twelve basil varieties have been studied over three years (2018–2020), as have four different cuts. To characterize the aroma profile, nine typical basil flavour molecules have been selected using a gas chromatography–mass spectrometry coupled with an olfactometer (GC–MS/O). The concentrations of the nine selected molecules were measured by an ultra-fast CG e-nose and Principal Component Analysis (PCA) was applied to detect possible differences among the samples. The PCA results highlighted differences between harvesting years, mainly for 2018, whereas no observable clusters were found concerning varieties and cuts, probably due to the combined effects of the investigated factors. For this reason, the ANOVA Simultaneous Component Analysis (ASCA) methodology was applied on a balanced a posteriori designed dataset. All the considered factors and interactions were statistically significant (p < 0.05) in explaining differences between the basil aroma profiles, with more relevant effects of variety and year.
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spelling pubmed-82703162021-07-10 Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA D’Alessandro, Alessandro Ballestrieri, Daniele Strani, Lorenzo Cocchi, Marina Durante, Caterina Molecules Article Basil is a plant known worldwide for its culinary and health attributes. It counts more than a hundred and fifty species and many more chemo-types due to its easy cross-breeds. Each species and each chemo-type have a typical aroma pattern and selecting the proper one is crucial for the food industry. Twelve basil varieties have been studied over three years (2018–2020), as have four different cuts. To characterize the aroma profile, nine typical basil flavour molecules have been selected using a gas chromatography–mass spectrometry coupled with an olfactometer (GC–MS/O). The concentrations of the nine selected molecules were measured by an ultra-fast CG e-nose and Principal Component Analysis (PCA) was applied to detect possible differences among the samples. The PCA results highlighted differences between harvesting years, mainly for 2018, whereas no observable clusters were found concerning varieties and cuts, probably due to the combined effects of the investigated factors. For this reason, the ANOVA Simultaneous Component Analysis (ASCA) methodology was applied on a balanced a posteriori designed dataset. All the considered factors and interactions were statistically significant (p < 0.05) in explaining differences between the basil aroma profiles, with more relevant effects of variety and year. MDPI 2021-06-24 /pmc/articles/PMC8270316/ /pubmed/34202506 http://dx.doi.org/10.3390/molecules26133842 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
D’Alessandro, Alessandro
Ballestrieri, Daniele
Strani, Lorenzo
Cocchi, Marina
Durante, Caterina
Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA
title Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA
title_full Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA
title_fullStr Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA
title_full_unstemmed Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA
title_short Characterization of Basil Volatile Fraction and Study of Its Agronomic Variation by ASCA
title_sort characterization of basil volatile fraction and study of its agronomic variation by asca
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270316/
https://www.ncbi.nlm.nih.gov/pubmed/34202506
http://dx.doi.org/10.3390/molecules26133842
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