A mathematical model to predict early quality attributes in hake during storage at low temperature
Autor: | Carlos Vilas, J.R. Herrera, Antonio A. Alonso, Míriam R. García, Marta Bernárdez |
---|---|
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Early indicators Fish freshness Bacterial catalysis Nucleotide degradation Bacterial growth Shewanella Dynamic model 03 medical and health sciences chemistry.chemical_compound 0404 agricultural biotechnology Hake medicine Parameter estimation Nucleotide Inosine Hypoxanthine chemistry.chemical_classification biology 04 agricultural and veterinary sciences biology.organism_classification 040401 food science 030104 developmental biology Biochemistry chemistry Degradation (geology) Akaike information criterion Biological system Food Science medicine.drug |
Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
Popis: | 9 pages, 5 figures, 4 tables In this work we develop a model describing the evolution of the adenosine triphosphate (ATP) degradation products, typically used as early indicators of fish quality loss, during storage and transport conditions. The model is constructed following a modular approach that includes essentially three mechanisms: (1) enzymatic transformation of inosine 5′-monophosphate (IMP), inosine (Ino) and hypoxanthine (Hx) with some reactions catalyzed by bacteria; (2) bacterial growth and (3) nucleotide diffusion through the food matrix. This approach allows us to combine the different underlying mechanisms to account for other fish species and conditions. We compare alternative mechanisms explaining the catalytic effect of Pseudomonas and Shewanella populations on the reaction linking IMP, Ino and Hx. The selection is carried out in terms of the Akaike Information Criteria. The predictive capabilities of the selected model are demonstrated with experiments The authors acknowledge financial support from the Spanish Ministry of Science and Innovation (Projects ISFORQUALITY AGL2012-39951-C02-01 and RESISTANCE DPI2014-54085-JIN) |
Databáze: | OpenAIRE |
Externí odkaz: |