Predictive Modeling of Pseudomonas spp. Growth in Fish Belly and Shelf Life Prediction

doi:10.7506/spkx1002-6630-201322059

Abstract

Abstract:

Sensory evaluation of fresh fish belly was made and plotted as a function of storage time. Changes in total volatile
basic nitrogen (TVB-N) over the storage period of 7 days were measured and observed and predicted growth curves of
Pseudomonas spp. were plotted based on according to the results of viable counts and predicted results from the Gompertz
model under different temperatures. Bias factor and accuracy factor were used to verify the accuracy of the first-order model,
and the result was close to 1, indicating that the model was fitted well. Belehradek model was used to describe the correlation
between temperature and growth parameters of Pseudomonas spp. The prediction model presented in this study could
be used to predict the shelf life of fish belly. Comparison between the observed and the predicted shelf life of fish belly was
carried out to reveal the reliability of shelf-life prediction for fish belly.

Key words: fish belly, Pseudomonas, shelf life, prediction model

CLC Number:

TS201.3

SONG Zhi-qiang，LIU Chao-qun，HOU Wen-fu. Predictive Modeling of Pseudomonas spp. Growth in Fish Belly and Shelf Life Prediction[J]. FOOD SCIENCE, 2013, 34(22): 292-297.

References

[1]Gram L．Huss H H．Microbiological spoilage offishandfish products [J]．Int．J．Food Micmbiol．，1996(33)：121-137．

[2]Dalgaard P. Fresh and lightly preserved seafood [A]. Man C M D, Jones A A. Shelf life evaluation of foods [M]. Gaithersburg Maryland USA: Aspen Publishers Inc, 2000, 110-139.

[3]Gram L, Huss H H. Fresh and processed fish and shellfish [A]. Edited by Lund B M, Baird-Parker T C, Gould G W. The microbiological safety and quality of food [M]. Gaithersburg Maryland USA: Aspen Publishers Inc, 2000, 472-506.

[4]Gill C O,Newton K G. The development of aerobic spoilage on meat syored at chill temperatures [J]. Journal of Applied Bacteriology, 1977, 43: 189-195.

[5]李苗云,杨向莹,张秋会,等.冷却猪肉中特定腐败菌生长动力学参数的分析研究[J].食品与生物技术学报，2010,29（2）：211-214.

[6]Blixt Y, Borch E. Comparison of shelf life of vacuum-packed pork and beef [J].Meat Science,2002,60,371-378.

[7]许钟,杨宪时,郭全友,等.波动温度下罗非鱼特定腐败菌生长动力学模型和货架期预测[J]. 微生物学报, 2005, 45(5): 799-801.

[8]戴奕杰,李宗军,王远亮.冷却肉中假单胞菌生长动力学模型的建立[J].肉类研究2011,25(04):17-21.

[9]张一敏,冷却牛肉假单胞菌生长动力学模型及货架期预测模型的研究[D].泰安:山东农业大学，2010.

[10]李除夕,董明盛,陈晓红,等.豆腐中库特氏菌生长动力学模型和货架期预测[J].农业工程学报，2009,25(1):

82-86

[11]董庆利,高翠,丁甜,等.不同试验条件下猪肉中气单胞菌生长预测模型的建立和验证[J].华南农业大学学报,2012,33(1):82-86.

[12]张培培.冷鲜猪肉中主要病原菌检测及单增李斯特菌的生长预测模型比较[D].杭州：浙江大学,2011.

[13]傅鹏,李平兰,周康,等.冷却肉中假单胞菌温度预测模型的建立与验证[J].农业工程学报, 2008, 24(4): 229-234.

[14]国家质量技术监督局. GB 4789.2 — 2008 食品卫生微生物学检验菌落总数测定[S]. 北京: 中国标准出版社, 2008.

[15]国家质量技术监督局. GB/T 5009.44 — 2003 肉与肉制品卫生标准的分析方法[S]. 北京: 中国标准出版社, 2004.

[16]刘超群,陈艳丽,王宏勋,等.冷鲜猪肉中热杀索丝菌生长预测模型的建立与验证[J].食品科学，2010,31（18）：86-89.

[17]佟懿，谢晶.鲜带鱼不同贮藏温度的货架期预测模型[J].农业工程学报，2009,25(6):301-305.

[18]国家质量技术监督局. GB 27733 — 2005 鲜(冻)动物性水产品卫生标准[S]. 北京: 中国标准出版社, 2005.

[19]王宏勋，陈艳丽，黄娜丽.大蒜素对假单胞菌生长动力学模型的影响[J].食品科学，2012,33（13）：221-224.

[20]李学英,杨宪时,郭全友.鲤鱼假单胞菌生长动力学研究和货架期预测[J].食品与机械，2011,27（1）：56-59,83

[21]唐晓阳,赵勇，孙晓红,等.冷却猪肉中假单胞菌生长预测模型的建立与验证[J].湖南农业科学，2010,（1）128-131,134.

[22] ROSS T. Indices for performance evaluation of predictive models in food microbiology [J].Journal of Applied Bacteriology，1996，81(5)：501-508．

[23]国家标准局.SC/T 3108—1986 鲜青鱼、草鱼、鲢鱼、鳙鱼、鲤鱼[S].中国农牧出版社，1987.