Shelf life prediction and Bacterial flora for the fresh and lightly salted Pseudosciaena crocea stored at different temperatures
文献类型: 外文期刊
作者: Guo Quanyou 1 ; Zhu Yanqi 1 ; Wang Lumin 1 ; Li Baoguo 2 ; Jiang Chaojun 1 ;
作者机构: 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Shanghai 200090, Peoples R China
2.Univ Shanghai Sci & Technol, Sch Med Instrument & Food Engn, Shanghai 200093, Peoples R China
关键词: Fresh and lightly salted; Pseudosciaena crocea; Dominant spoilage organisms; Shelf-life prediction; Storage temperature
期刊名称:EMIRATES JOURNAL OF FOOD AND AGRICULTURE ( 影响因子:1.041; 五年影响因子:1.282 )
ISSN: 2079-052X
年卷期: 2018 年 30 卷 1 期
页码:
收录情况: SCI
摘要: The active dominant spoilage organisms in the farmed Pseudosciaena crocea would cause short shelf life. This study focused on an identification of spoilage bacteria and the development of predictive model of shelf life in Pseudosciaena crocea both fresh and lightly salted during the storage at low, ambient and fluctuating temperature conditions. Microbiological, chemical changes in Pseudosciaena crocea were assessed to ensure the shelf life; Phenotypic and 16S rRNA were used to identified dominated strains from different conditions. Shelf life, remaining shelf life were predicted by predictive models including exponential, school-field and Square-root equation. The results showed that Shewanella spp. was the dominant organism at low temperature, while Vibrio spp. and Enterobacter were the dominant organisms at ambient and fluctuating temperatures. While the Proteus vulgaris, Vibrio alginolytica and serratia were the dominant group at low, ambient and fluctuating environment of the lightly salted Pseudosciaena crocea. The shelf-life of fresh Pseudosciaena crocea were 5.4 similar to 17.8 days, 1.1days and 4.6 similar to 9.3 days under low, ambient and fluctuating temperature; while the shelf life of lightly salted Pseudosciaena crocea were 12.2 similar to 49.1 days, 4.2day and 20.5 similar to 23.5 days under low, ambient and fluctuating temperature. The evaluation index showed that School-field model and Exponential model in fresh fish were better, Exponential model was better to predict the shelf life in lightly salted fish. The results can facilitated the establishment of spoilage bacterial Hazard Analysis Critical Control Point during the processing of the Pseudosciaena crocea products.
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