Study on the Predictive Models of the Quality of Silver Carp (Hypophthalmichthys Molitrix) Fillets Stored under Variable Temperature Conditions
Article first published online: 31 JUL 2012
© 2012 Wiley Periodicals, Inc.
Journal of Food Processing and Preservation
Volume 38, Issue 1, pages 356–363, February 2014
How to Cite
Shi, C., Lu, H., Cui, J., Shen, H. and Luo, Y. (2014), Study on the Predictive Models of the Quality of Silver Carp (Hypophthalmichthys Molitrix) Fillets Stored under Variable Temperature Conditions. Journal of Food Processing and Preservation, 38: 356–363. doi: 10.1111/j.1745-4549.2012.00783.x
- Issue published online: 27 JAN 2014
- Article first published online: 31 JUL 2012
- Manuscript Accepted: 28 MAY 2012
- Manuscript Received: 2 MAY 2012
- China Agriculture Research System. Grant Number: CARS-46
- National Natural Science Foundation of China. Grant Number: 30871946
Predictive models about the quality changes of silver carp (Hypophthalmichthys molitrix) fillets stored under variable temperatures were investigated. Electrical conductivity (EC), total aerobic count (TAC), total volatile base nitrogen (TVB-N) and sensory score of silver carp fillets stored at 270, 273, 276, 282 and 288 K were determined. Different reaction orders (zero, first and second) were tested; EC, TAC and TVB-N followed a first-order reaction equation; and sensory score followed a zero-order reaction equation based on the total coefficient of determination (ΣR2). The effect of temperature and storage time on the quality of silver carp fillets was modeled by using Arrhenius equation. All the relative errors of validation experiments for EC, TAC and sensory score varied by <13% and for TVB-N varied by <13% within 12 days. Therefore, the models can predict the quality of silver carp fillets effectively within 270–288 K.
In this work, the efficient quality models for silver carp fillets during refrigerated storage were established. The useful information about quality changes in silver carp fillets stored under different temperatures could be obtained by the predictive models. In addition, fast calculations of the quality changes based on the stored temperature allow optimizing their storage management and reducing the economic losses during cold chain. Therefore, the quality models of silver carp fillets have a brilliant prospect in predicting quality changes during the cold chain.