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| Establishment and Validation of Predictive Model of Brochothrix thermosphacta from Grass Carp Fish Fillet |
| SONG Zhi-qiang;LIU Chao-qun;HOU Wen-fu |
| College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China |
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Abstract The present work aimed to characterize the growth of Brochothrix thermosphacta and establish predictive
models in grass carp fish fillet at different temperatures (5, 10, 15 ℃ and 20 ℃). Predictive growth curves were fitted
by using Gompertz model, which showed good coincidence with the actual ones. The relationships between temperature
and μmax or Lag time were well described by Belehradek model. The developed first-order models were validated by
calculating average accuracy factors (AF) and bias factors (BF), and both were close to 1 and ranged between 0.7 and
1.1, respectively. F statistical analysis was used to validate the second-order models established in this study, and P
values smaller than were obtained. Accordingly, the proposed predictive models could accurately describe the growth of
Brochothrix thermosphacta in grass carp fish fillet.
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2013, Vol. 27 
