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Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS)
Odor is one of the most important attributes to determine the overall acceptance of a product. The aim of this investigation is to evaluate the changes in the odor profile and the volatile compounds during thirty-three days of ripening to obtain the pattern of volatile compounds necessary to integra...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000412/ https://www.ncbi.nlm.nih.gov/pubmed/36900448 http://dx.doi.org/10.3390/foods12050932 |
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author | Carmona-Escutia, Rosa Pilar Ponce-Alquicira, Edith García-Parra, María Dolores Villanueva-Rodríguez, Socorro Josefina Escalona-Buendía, Héctor B. |
author_facet | Carmona-Escutia, Rosa Pilar Ponce-Alquicira, Edith García-Parra, María Dolores Villanueva-Rodríguez, Socorro Josefina Escalona-Buendía, Héctor B. |
author_sort | Carmona-Escutia, Rosa Pilar |
collection | PubMed |
description | Odor is one of the most important attributes to determine the overall acceptance of a product. The aim of this investigation is to evaluate the changes in the odor profile and the volatile compounds during thirty-three days of ripening to obtain the pattern of volatile compounds necessary to integrate the odor profile of chorizo (fermented sausage), using Partial Least Squares (PLS). The chili and pork meat odors were predominant during the first five days, vinegar and fermented odors at days twelve and nineteen days, and finally a rancid odor predominated at the end. Only the vinegar, rancid, and fermented odors could be predicted with a good fit model, with the R(2) coefficient above 0.5, using linear PLS, and the pork meat odor using logarithmic PLS. Each group of volatile compounds interacted in different ways; esters had a positive influence on the vinegar and rancid odors, but a negative on the fermented odor. Some volatile compounds contributed to more than one odor, such as hexanal, ethanol, and ethyl octanoate. This work allowed us to understand the pattern of volatile compounds required to generate some of the specific odors of chorizo; further studies are required to explore the effect of other food components on these patterns of odors. |
format | Online Article Text |
id | pubmed-10000412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100004122023-03-11 Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS) Carmona-Escutia, Rosa Pilar Ponce-Alquicira, Edith García-Parra, María Dolores Villanueva-Rodríguez, Socorro Josefina Escalona-Buendía, Héctor B. Foods Article Odor is one of the most important attributes to determine the overall acceptance of a product. The aim of this investigation is to evaluate the changes in the odor profile and the volatile compounds during thirty-three days of ripening to obtain the pattern of volatile compounds necessary to integrate the odor profile of chorizo (fermented sausage), using Partial Least Squares (PLS). The chili and pork meat odors were predominant during the first five days, vinegar and fermented odors at days twelve and nineteen days, and finally a rancid odor predominated at the end. Only the vinegar, rancid, and fermented odors could be predicted with a good fit model, with the R(2) coefficient above 0.5, using linear PLS, and the pork meat odor using logarithmic PLS. Each group of volatile compounds interacted in different ways; esters had a positive influence on the vinegar and rancid odors, but a negative on the fermented odor. Some volatile compounds contributed to more than one odor, such as hexanal, ethanol, and ethyl octanoate. This work allowed us to understand the pattern of volatile compounds required to generate some of the specific odors of chorizo; further studies are required to explore the effect of other food components on these patterns of odors. MDPI 2023-02-22 /pmc/articles/PMC10000412/ /pubmed/36900448 http://dx.doi.org/10.3390/foods12050932 Text en © 2023 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 Carmona-Escutia, Rosa Pilar Ponce-Alquicira, Edith García-Parra, María Dolores Villanueva-Rodríguez, Socorro Josefina Escalona-Buendía, Héctor B. Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS) |
title | Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS) |
title_full | Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS) |
title_fullStr | Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS) |
title_full_unstemmed | Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS) |
title_short | Changes in the Sensory Odor Profile during Chorizo Maturation and Their Relationship with Volatile Compound Patterns by Partial Least Square Regression (PLS) |
title_sort | changes in the sensory odor profile during chorizo maturation and their relationship with volatile compound patterns by partial least square regression (pls) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000412/ https://www.ncbi.nlm.nih.gov/pubmed/36900448 http://dx.doi.org/10.3390/foods12050932 |
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