Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/139226
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Assessment of table olive fermentation by functional data analysis |
Autor: | Ruiz-Bellido, M. A.; Romero-Gil, Verónica CSIC ORCID; García García, Pedro CSIC ORCID CVN ; Rodríguez-Gómez, Francisco J. CSIC ORCID ; Arroyo López, Francisco Noé CSIC ORCID ; Garrido Fernández, A. CSIC ORCID | Palabras clave: | Aloreña de Málaga Smoothing Functional regression Functional permutation tests R software Yeasts |
Fecha de publicación: | 5-dic-2016 | Editor: | Elsevier | Citación: | International Journal of Food Microbiology 238: 1-6 (2016) | Resumen: | For the first time, functional data analysis (FDA) was used to assess the effects of different treatments on Protection Denomination of Origin Aloreña de Málaga table olive fermentations, focusing on the evolution of yeast population. The analysis of fermentation by a conventional approach led to scarce information. However, the transformation of microbial (and also physicochemical) data into smooth curves allowed the application of a new battery of statistical tools for the analysis of fermentations (functional pointwise estimation of the averages and standard deviations, maximum, minimum, first and second derivatives, functional regression, and functional F and t-tests). FDA showed that all the treatments assayed led to similar trends in yeast population while changes in pH and titratable acidity profiles led to several significant differences. Therefore, FDA represents a promising and valuable tool for studying table olive fermentations and for food microbiology in general. | Descripción: | 41 Páginas; 2 Tablas; 5 Tablas suplementarias; 5 Figuras | Versión del editor: | http://dx.doi.org/10.1016/j.ijfoodmicro.2016.08.031 | URI: | http://hdl.handle.net/10261/139226 | DOI: | 10.1016/j.ijfoodmicro.2016.08.031 | ISSN: | 0168-1605 | E-ISSN: | 1879-3460 |
Aparece en las colecciones: | (IG) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Postprint_2016_IntJFoodMic_V238_P1.pdf | Artículo principal | 900,65 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
3
checked on 12-abr-2024
WEB OF SCIENCETM
Citations
3
checked on 27-feb-2024
Page view(s)
303
checked on 18-abr-2024
Download(s)
335
checked on 18-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons