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不同貯藏溫度下鱸魚腐敗菌生長動力學與貨架期預測
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農(nóng)業(yè)部海水魚產(chǎn)業(yè)體系保鮮與貯運崗位科學家項目,、上海市科技興農(nóng)2015年重點攻關項目（滬農(nóng)科攻字(2015)第4-12號）和上海市科技興農(nóng)重點攻關項目（滬農(nóng)科攻字（2016）第4-4號）


Growth Kinetics of Spoilage Organisms and Prediction of Shelf Life for Lateolabrax japonicus at Different Storage Temperatures
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    摘要:

    為快速預測鱸魚在不同溫度下特定腐敗菌的生長規(guī)律，模擬了鱸魚的4種貯藏溫度：流化冰貯藏（-1.8℃）,、碎冰貯藏（0℃）,、冷藏1（4℃）與冷藏2（10℃），分析了不同溫度下鱸魚的菌落總數(shù),、希瓦氏菌與假單胞菌數(shù),，并測定了相應條件下鱸魚貨架期終點時的總揮發(fā)性鹽基氮和QI值。采用修正的Gompertz方程描述鱸魚特定腐敗菌的動態(tài)變化,，分別以Belehradek平方根方程和Arrhenius方程建立微生物生長預測模型,。結(jié)果表明，修正的Gompertz方程能準確描述4種貯藏溫度下鱸魚特定腐敗菌的生長規(guī)律,，希瓦氏菌和假單胞菌的腐敗閾值分別為（6.48±0.41）lg CFU/g 與（6.33±0.36）lg CFU/g,。通過碎冰貯藏組（0℃）和模擬流通組（流化冰預冷（-1.8℃）—無冰運輸（0.8℃）—碎冰貯藏（0℃））樣品對模型適用性進行驗證,，得出基于Belehradek方程的希瓦氏菌、假單胞菌生長預測模型偏差度分別為0.9936,、0.9510和1.0242,、0.9821，準確度分別為1.0845,、1.0425和1.1075,、1.0934，貨架期預測模型相對誤差絕對值在0~10%,，準確度優(yōu)于Arrhenius方程,。因此，由Belehradek方程建立的模型能更準確描述鱸魚在常規(guī)流通方式下希瓦氏菌和假單胞菌的生長規(guī)律,，可為鱸魚流通貨架期的預測提供理論依據(jù),。

    Abstract:

    The aim was to predict the growth of specific spoilage organisms (SSO) for Lateolabrax japonicus at different storage temperatures. The circulation of Lateolabrax japonicus was simulated by different storage methods, such as slurry ice storage (-1.8℃), crush ice storage (0℃), cold storage 1 (4℃) and cold storage 2 (10℃). The kinetic growth of total viable counts, Shewanella counts and Pseudomonas counts were analyzed respectively, and the total volatile base nitrogen (TVB-N) and Quality index (QI) value at the end of the shelf life of Lateolabrax japonicus were evaluated at different temperatures. On the basis of the dynamic change of SSO with modified Gompertz equation, Belehradek equations and Arrhenius equations were used to construct the prediction models of growth and shelf life for SSO. The results showed that the modified Gompertz equation could describe the dynamic microbial growth in Lateolabrax japonicus at different storage temperatures and the average minimum corruption values of Shewanella counts and Pseudomonas counts were (6.48±0.41) lg CFU/g, (6.33±0.36) lg CFU/g respectively. Meanwhile, the applicability of models were validated under crush ice storage (0℃) and temperature-fluctuation conditions (slurry ice precooling (-1.8℃)-transportation without ice (0.8℃) -crush ice (0℃)). The bias factors (Bf) and accuracy factors (Af) of Shewanella counts and Pseudomonas counts from the models based on Belehradek equations were 0.9936, 0.9510 and 1.0242, 0.9821 and 1.0845, 1.0425, 1.1075, 1.0934, respectively, and the relative errors of shelf life model were within the range of 0~10%. The accuracy of Belehradek equation was better than that of Arrhenius equation. In conclusion, the models obtained by Belehradek equations were more effective for predicting the growth of SSO and the shelf life of Lateolabrax japonicus at different storage temperatures so as to provide the theoretical basis for predicting the shelf life of Lateolabrax japonicus.

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藍蔚青,張皖君,段賢源,吳啟月,盧瑛,謝晶.不同貯藏溫度下鱸魚腐敗菌生長動力學與貨架期預測[J].農(nóng)業(yè)機械學報,2018,49(4):351-358. LAN Weiqing, ZHANG Wanjun, DUAN Xianyuan, WU Qiyue, LU Ying, XIE Jing. Growth Kinetics of Spoilage Organisms and Prediction of Shelf Life for Lateolabrax japonicus at Different Storage Temperatures[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(4):351-358.

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  • 收稿日期:2017-09-21
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  • 在線發(fā)布日期: 2018-04-10
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