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鲜切水芹贮藏期间微生物生长模型及货架期预测 被引量:11

Microbial Growth Model and Shelf-Life Prediction of Fresh-Cut Cress during Storage
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摘要 利用选择性培养基进行鲜切水芹贮藏期菌相分析,发现假单胞菌属是其贮藏期优势菌。保鲜袋挽口包装的鲜切水芹在22℃贮藏8 d,假单胞菌数量即达到106 CFU/g,低温贮藏有助于抑制假单胞菌的生长繁殖。修正的Gompertz模型能有效地拟合出4℃和22℃条件下假单胞菌属细菌的动态变化,偏差度和准确度分析表明所建立的模型是有效的。鲜切水芹于低温贮藏3 d后置于常温(22±1)℃贮藏时,叶绿素和木质素动态变化符合一级模型,在实际应用中,可根据腐败菌的生长速率来预测鲜切水芹的货架期。 Pseudomonas was found to be the dominant bacteria of fresh-cut cress during storage when microflora analysis of cress was performed using selective medium. Fresh-cut cress was packaged in sealed bags and then stored for 8 d at 22 ℃and the number of Pseudomonas reached 106 CFU/g. The results showed that low temperature storage inhibited the growth and reproduction of Pseudomonas. A modified Gompertz model could fit effectively the dynamic changes of Pseudomonascount at 4 and 22 ℃. The deviation factor and accurate factor showed that the model was effective. The dynamic changes of chlorophyll and lignin in fresh-cut cress during storage for 3 day at low temperature followed by at room temperature(22 ±1) ℃ could be fitted to a first-order kinetic model. The shelf-life of fresh-cut cress can be predicted according to the growthrate of spoilage bacteria in actual application.
出处 《食品科学》 EI CAS CSCD 北大核心 2015年第18期231-236,共6页 Food Science
基金 "十二五"国家科技支撑计划项目(2012BAD27B03) 江苏高校优势学科建设工程资助项目(PAPD)
关键词 鲜切水芹 贮藏 微生物 货架期 fresh-cut cress storage microorganism shelf-life
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  • 1邓舜杨.食品保鲜技术[M].北京:中国轻工业出版社,2006:38-41.
  • 2JACXSENS L, DEVLIEGHERE F, DEBEVERE J. Predictive modelling for packaging design: equilibrium modified atmosphere packages of fresh-cut vegetables subjected to a simulated distribution chain[J]. International Journal of Food Microbiology, 2002, 73(2): 331-341.
  • 3PIROVANI M, GUEMES D, PIAGNETINI A. Predictive models for available chlorine depletion and total microbial count reon during washing of fresh-cut spinach[J]. Journal of Food Science, 2001, 66(6): 860-864.
  • 4KOSEKI S, ITOH K. Prediction of microbial growth in fresh-cut vegetables treated with acidic electrolyzed water during storage under various temperature conditions[J]. Journal of Food Protection, 2001, 64(12): 1935-1942.
  • 5张立奎,陆兆新,汪宏喜.鲜切生菜在贮藏期间的微生物生长模型[J].食品与发酵工业,2004,30(2):107-110. 被引量:41
  • 6韩巍巍,刘程惠,胡文忠,吴晓彬,何煜波.鲜切苹果微生物生长模型研究及货架期预测[J].食品工业科技,2010,31(12):104-107. 被引量:13
  • 7樊振江,郝亚勤,张素君,南海娟,高愿军.鲜切莲藕微生物模型的建立及货架寿命预测[J].中国农学通报,2007,23(1):326-329. 被引量:28
  • 8曹悦,陆利霞,熊晓辉.食品货架期预测新技术进展[J].食品研究与开发,2009,30(5):165-168. 被引量:39
  • 9ZWIETERING M, de KOOS J, HASENACK B, et al. Modeling of bacterial growth as a function of temperature[J]. Applied and Environmental Microbiology, 1991, 57(4): 1094-1101.
  • 10ROSS T. Indices for performance evaluation of predictive models in food microbiology[J]. Journal of Applied Microbiology, 1996, 81(5): 501-508.

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