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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8270316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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