Literature DB >> 31229106

Modelling microbial growth in modified-atmosphere-packed hake (Merluccius merluccius) fillets stored at different temperatures.

Adriana Antunes-Rohling1, Ángela Artaiz1, Silvia Calero2, Nabil Halaihel3, Silvia Guillén1, Javier Raso1, Ignacio Álvarez1, Guillermo Cebrián4.   

Abstract

Market globalization and changes in purchasing habits pose a challenge to the fishery industry because of the short shelf life of fish products. In view of this scenario, it would be very helpful if tools capable of predicting the shelf-life of fish could be developed. Thus, the objective of this study was to employ a modelling approach capable of predicting the evolution of the microbiota of hake fillets packaged under a modified atmosphere (MAP) rich in CO2 (50% CO2 / 50% N2) when stored at temperatures ranging between 1 and 10 °C. Growth curves of ten microbial groups were obtained at four different temperatures and fitted with the Baranyi model. Photobacterium showed high growth rates in hake fillets (0.99 days-1 at 4 °C), similar to those of Shewanella, lactic acid bacteria, and non-specific microbial groups investigated, and significantly higher than those of Pseudomonas. Furthermore, no lag phase was observed for Photobacterium regardless of the temperature investigated. On the other hand, Enterobacteriaceae and moulds and yeasts displayed low growth fitness, and their counts increased by <1.5-2 Log10 cycles along the incubation period regardless of storage temperature. The influence of storage temperature on growth parameters (λ, μmax and Yend) was subsequently studied, and secondary models were developed for the eight most relevant microbial groups. All of the final equations developed in this study showed R2 values ≥0.90, and RMSE values ≤0.50. In addition, results obtained in this investigation strongly suggest that Photobacterium would be the main responsible microorganism for the spoilage of hake fillets stored under MAP conditions (50% CO2/50% N2) along the entire range of temperatures investigated (1-10 °C).
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fish; MAP; Photobacterium; Predictive microbiology; Spoilage

Year:  2019        PMID: 31229106     DOI: 10.1016/j.foodres.2019.05.018

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  5 in total

1.  Modeling the Growth and Interaction Between Brochothrix thermosphacta, Pseudomonas spp., and Leuconostoc gelidum in Minced Pork Samples.

Authors:  Emilie Cauchie; Laurent Delhalle; Ghislain Baré; Assia Tahiri; Bernard Taminiau; Nicolas Korsak; Sophie Burteau; Papa Abdoulaye Fall; Frédéric Farnir; Georges Daube
Journal:  Front Microbiol       Date:  2020-04-09       Impact factor: 5.640

2.  Characterization of the Spoilage Microbiota of Hake Fillets Packaged Under a Modified Atmosphere (MAP) Rich in CO2 (50% CO2/50% N2) and Stored at Different Temperatures.

Authors:  Adriana Antunes-Rohling; Silvia Calero; Nabil Halaihel; Pedro Marquina; Javier Raso; Juan Calanche; José Antonio Beltrán; Ignacio Álvarez; Guillermo Cebrián
Journal:  Foods       Date:  2019-10-13

3.  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.

Authors:  Adriana Antunes-Rohling; Ángela Artaiz; Silvia Calero; Nabil Halaihel; Silvia Guillén; Javier Raso; Ignacio Álvarez; Guillermo Cebrián
Journal:  Data Brief       Date:  2019-11-05

4.  Dimensional Analysis Model Predicting the Number of Food Microorganisms.

Authors:  Cuiqin Li; Laping He; Yuedan Hu; Hanyu Liu; Xiao Wang; Li Chen; Xuefeng Zeng
Journal:  Front Microbiol       Date:  2022-02-08       Impact factor: 5.640

Review 5.  Assessment and Prediction of Fish Freshness Using Mathematical Modelling: A Review.

Authors:  Míriam R García; Jose Antonio Ferez-Rubio; Carlos Vilas
Journal:  Foods       Date:  2022-08-02
  5 in total

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