Development of Shelf Life Prediction Model in Rainbow Trout Stored at Different Temperatures


GENÇ İ. Y., DİLER A.

Journal of Aquatic Food Product Technology, cilt.28, sa.10, ss.1027-1036, 2019 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 10
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1080/10498850.2019.1682734
  • Dergi Adı: Journal of Aquatic Food Product Technology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1027-1036
  • Anahtar Kelimeler: microbiological quality, Oncorhynchus mykiss, predictive microbiology, Rainbow trout, shelf life prediction
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Evet

Özet

The aim of this study was to develop a shelf life prediction model for aerobically stored gutted and whole rainbow trout. Logistic model was used to determine the specific growth rates of total mesophilic aerobic bacteria, total psychrophilic aerobic bacteria, Pseudomonas spp., Enterobacteriaceae, and lactic acid bacteria (LAB) for the samples stored at different temperatures (2°C, 5°C, 10°C, 15°C, 20°C, and 25°C). To describe the effect of temperature on the growth of bacteria, the square root model was used. The validation of the developed shelf life prediction model was carried out using whole (ungutted) rainbow trout at constant temperatures. The bias and accuracy factors of predicted values were within the range of 0.80–1.20, where the model could be valid. The shelf life of whole and gutted aerobically stored rainbow trout can be predicted by the model accurately at any temperature between 2-25°C.