Shelf-life assessment and forecast in retail fresh hake
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1
Bioprocess Engineering Group, IIM-CSIC, Spain
Fish quality has a direct impact on market price and its accurate assessment and prediction is of main importance to prevent food wastage due to extremely conservative product shelf-life estimations. In this work we present a general methodology to derive predictive models of fish freshness under different storage conditions.
The approach focuses in finding growth models of specific spoilage micro-organisms in hake sufficiently informative to estimate two common quality market indexes. In order to get enough predictive capabilities, we make use of Optimal Experimental Design and analyze the statistics associated with the predictions due to fish variability. As a result, both quality indexes and their variability can be estimated under different temperature profiles.
Although the methodology here presented has been applied and validated in hake, it is sufficiently general to be used in other fish species and under different stress variables. In addition, the parameters found for this case are robust enough to predict quality in conditions not used during the model calibration, such as for example hake captured with a different commercial fishing technique.
Keywords:
Fish Shelf-life,
Quality Index method,
predictive microbiology,
optimal experimental design,
Retail Fresh Hake,
Core Predictions
Conference:
IMMR | International Meeting on Marine Research 2014, Peniche, Portugal, 10 Jul - 11 Jul, 2014.
Presentation Type:
Oral Presentation
Topic:
SEAFOOD TECHNOLOGY
Citation:
R. Garcia
M,
Vilas
C,
Herrera
JR,
Balsa-Canto
E and
Alonso
AÁ
(2014). Shelf-life assessment and forecast in retail fresh hake.
Front. Mar. Sci.
Conference Abstract:
IMMR | International Meeting on Marine Research 2014.
doi: 10.3389/conf.fmars.2014.02.00180
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Received:
09 May 2014;
Published Online:
18 Jul 2014.
*
Correspondence:
Dr. Eva Balsa-Canto, Bioprocess Engineering Group, IIM-CSIC, Vigo, Spain, ebalsa@iim.csic.es