Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP

Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP

This article presents the results obtained after applying the Ratkowsky model for developing secondary models describing the influence of storage temperature on microbial growth in hake fillets packaged under a modified atmosphere (MAP) rich in CO2 (50% CO2/50% N2). For this purpose the growth param...

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Main Authors: Adriana Antunes-Rohling, Ángela Artaiz, Silvia Calero, Nabil Halaihel, Silvia Guillén, Javier Raso, Ignacio Álvarez, Guillermo Cebrián
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919310984
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spelling doaj-062ae6cec9564b94a887180d15f8b2b32020-11-25T00:53:44ZengElsevierData in Brief2352-34092019-12-0127Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAPAdriana Antunes-Rohling0Ángela Artaiz1Silvia Calero2Nabil Halaihel3Silvia Guillén4Javier Raso5Ignacio Álvarez6Guillermo Cebrián7Departamento de Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Instituto Agroalimentario de Aragón– IA2, Universidad de Zaragoza-CITA, 50013, Zaragoza, SpainDepartamento de Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Instituto Agroalimentario de Aragón– IA2, Universidad de Zaragoza-CITA, 50013, Zaragoza, SpainDepartamento I+D+i Alquizvetek S.L, Zaragoza, 50013, Zaragoza, SpainDepartamento de Patología Animal, Facultad de Veterinaria, Universidad de Zaragoza, 50013, Zaragoza, Spain; Departamento I+D+i Alquizvetek S.L, Zaragoza, 50013, Zaragoza, SpainDepartamento de Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Instituto Agroalimentario de Aragón– IA2, Universidad de Zaragoza-CITA, 50013, Zaragoza, SpainDepartamento de Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Instituto Agroalimentario de Aragón– IA2, Universidad de Zaragoza-CITA, 50013, Zaragoza, SpainDepartamento de Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Instituto Agroalimentario de Aragón– IA2, Universidad de Zaragoza-CITA, 50013, Zaragoza, SpainDepartamento de Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Instituto Agroalimentario de Aragón– IA2, Universidad de Zaragoza-CITA, 50013, Zaragoza, Spain; Corresponding author.This article presents the results obtained after applying the Ratkowsky model for developing secondary models describing the influence of storage temperature on microbial growth in hake fillets packaged under a modified atmosphere (MAP) rich in CO2 (50% CO2/50% N2). For this purpose the growth parameters (λ, μmax) already calculated in the related article “Modelling microbial growth in Modified-Atmosphere-Packed hake (Merluccius merluccius) fillets stored at different temperatures” [1] were used. The data include the fit and goodness of the fit parameters calculated as well as the comparison between fitted and observed data. Keywords: Shelf-life, Predictive microbiology, Fish, Storage temperaturehttp://www.sciencedirect.com/science/article/pii/S2352340919310984
collection DOAJ
language English
format Article
sources DOAJ
author Adriana Antunes-Rohling
Ángela Artaiz
Silvia Calero
Nabil Halaihel
Silvia Guillén
Javier Raso
Ignacio Álvarez
Guillermo Cebrián
spellingShingle Adriana Antunes-Rohling
Ángela Artaiz
Silvia Calero
Nabil Halaihel
Silvia Guillén
Javier Raso
Ignacio Álvarez
Guillermo Cebrián
Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP
Data in Brief
author_facet Adriana Antunes-Rohling
Ángela Artaiz
Silvia Calero
Nabil Halaihel
Silvia Guillén
Javier Raso
Ignacio Álvarez
Guillermo Cebrián
author_sort Adriana Antunes-Rohling
title Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP
title_short Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP
title_full Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP
title_fullStr Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP
title_full_unstemmed Dataset on the use of the Ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (Merluccius merluccius) stored under MAP
title_sort dataset on the use of the ratkowsky model for describing the influence of storage temperature on microbial growth in hake fillets (merluccius merluccius) stored under map
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2019-12-01
description This article presents the results obtained after applying the Ratkowsky model for developing secondary models describing the influence of storage temperature on microbial growth in hake fillets packaged under a modified atmosphere (MAP) rich in CO2 (50% CO2/50% N2). For this purpose the growth parameters (λ, μmax) already calculated in the related article “Modelling microbial growth in Modified-Atmosphere-Packed hake (Merluccius merluccius) fillets stored at different temperatures” [1] were used. The data include the fit and goodness of the fit parameters calculated as well as the comparison between fitted and observed data. Keywords: Shelf-life, Predictive microbiology, Fish, Storage temperature
url http://www.sciencedirect.com/science/article/pii/S2352340919310984
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