Event Abstract Back to Event Shelf-life assessment and forecast in retail fresh hake Miriam R. Garcia1, Carlos Vilas1, Juan R. Herrera1, Eva Balsa-Canto1* and Antonio Á. Alonso1 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 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. 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 Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Miriam R. Garcia Carlos Vilas Juan R Herrera Eva Balsa-Canto Antonio Á Alonso Google Miriam R. Garcia Carlos Vilas Juan R Herrera Eva Balsa-Canto Antonio Á Alonso Google Scholar Miriam R. Garcia Carlos Vilas Juan R Herrera Eva Balsa-Canto Antonio Á Alonso PubMed Miriam R. Garcia Carlos Vilas Juan R Herrera Eva Balsa-Canto Antonio Á Alonso Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.