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中国精品科技期刊2020

不同温度培养诱导金黄色葡萄球菌对超高压失活的抗性及其建模

韩洪玲, 袁先雯, 高瑀珑, 冯燕玲, 董月, 朱蕾, 夏凡, 唐瑞丽

韩洪玲, 袁先雯, 高瑀珑, 冯燕玲, 董月, 朱蕾, 夏凡, 唐瑞丽. 不同温度培养诱导金黄色葡萄球菌对超高压失活的抗性及其建模[J]. 食品工业科技, 2016, (14): 102-107. DOI: 10.13386/j.issn1002-0306.2016.14.012
引用本文: 韩洪玲, 袁先雯, 高瑀珑, 冯燕玲, 董月, 朱蕾, 夏凡, 唐瑞丽. 不同温度培养诱导金黄色葡萄球菌对超高压失活的抗性及其建模[J]. 食品工业科技, 2016, (14): 102-107. DOI: 10.13386/j.issn1002-0306.2016.14.012
HAN Hong-ling, YUAN Xian-wen, GAO Yu-long, FENG Yan-ling, DONG Yue, ZHU Lei, XIA Fan, TANG Rui-li. Modelling and the induced resistance of inactivation of Staphylococcus aureus to high hydrostatic pressure incubated at different culture temperatures[J]. Science and Technology of Food Industry, 2016, (14): 102-107. DOI: 10.13386/j.issn1002-0306.2016.14.012
Citation: HAN Hong-ling, YUAN Xian-wen, GAO Yu-long, FENG Yan-ling, DONG Yue, ZHU Lei, XIA Fan, TANG Rui-li. Modelling and the induced resistance of inactivation of Staphylococcus aureus to high hydrostatic pressure incubated at different culture temperatures[J]. Science and Technology of Food Industry, 2016, (14): 102-107. DOI: 10.13386/j.issn1002-0306.2016.14.012

不同温度培养诱导金黄色葡萄球菌对超高压失活的抗性及其建模

基金项目: 

江苏省自然科学基金(BK20131435); 江苏省教育厅省属高校自然科学研究(12KJB550003); 国家自然科学基金(31371864); 粮食公益性行业科研专项(201413007-05); 江苏省高校优势学科建设工程资助项目(PADP);

详细信息
    作者简介:

    韩洪玲(1991-),女,硕士研究生,研究方向:食品微生物与生物技术,E-mail:942924471@qq.com。;

    高瑀珑(1974-),男,博士,教授,主要从事食品微生物与生物技术方面的研究,E-mail:yulonggao19762001@163.com。;

  • 中图分类号: TS201.3

Modelling and the induced resistance of inactivation of Staphylococcus aureus to high hydrostatic pressure incubated at different culture temperatures

  • 摘要: 探讨不同培养温度处理诱导金黄色葡萄球菌(ATCC 6538)对超高压的抗性,并建立不同培养温度下金黄色葡萄球菌的超高压抗性模型。金黄色葡萄球菌经不同温度培养,在100~500 MPa的超高压条件下,选用线性、Weibull和Gompertz三种模型来拟合超高压抗性曲线,以决定系数(R2),均方误差(RMSE),精确因子(Af)和偏差因子(Bf)作为模型拟合度优劣的评判指标。实验结果表明,在100~500 MPa压力的作用下,线性模型的拟合效果不佳,R2最小值达到0.8870,Weibull和Gompertz模型对超高压的抗性具有较好的拟合性(R2≥0.9467),且Weibull模型的拟合效果最好,R2最大值达到0.9956,RMSE最小值为0.0312。因此,Weibull模型可以很好地拟合金黄色葡萄球菌以不同的培养温度胁迫后在超高压作用下的抗性曲线,随着培养温度的升高,金黄色葡萄球菌的超高压抗性呈增加趋势。 
    Abstract: The resistance models of Staphylococcus aureus( ATCC6538) were established in order to investigate the development of resistance responses to high hydrostatic pressure( HHP) treatment in S.aureus cultured at different temperatures. The resistance data for S. aureus incubated at different temperatures were obtained under the conditions of the pressures from 100 to 500 MPa. Then Linear,Weibull,and Gompertz models were selected to fit the curves of resistance to HHP of S. aureus. Regression coefficients( R2),root mean square error( RMSE),accuracy factor( Af) and bias factor( Bf) were used to evaluate the goodness of fit for the three models. Results showed that the Linear model provided a poor fit for the data,which has minimum R2( 0.8870),and Weibull model and Gompertz model showed suitable goodness- of- fit at five pressure levels between 100 to 500 MPa( R2≥0.9467).The Weibull model,which had maximum R2( 0.9956) and minimum RMSE( 0.0312),could be fitted perfectly to the curves of resistance to HHP in the three models.In conclusion,Weibull model showed ideal goodness- of- fit to the curves of resistance to HHP inactivation of Staphylococcus aureus. Moreover,with increasing incubation temperatures,the pressure resistance of S.aureus increased.
  • [1]

    Alvarez-Ordonez A,Fernandez A,Lopez M.Relationship between membrane fatty acid composition and heat resistance of acid and cold stressed Salmonella senftenberg CECT 4384[J].Food Microbiol,2009,26(3):347-363.

    [2]

    Rosengren A,Fabricius A,Guss B,et al.Occurrence of foodborne pathogens and characterization of Staphylococcus aureus in cheese produced on farm-dairies[J].International Journal of Food Microbiology,2010,144(2):263-269.

    [3]

    Gao Y L,Ju X R,Jiang H H.Use of response surfacemethodology to investigate the effect of food constituents on Staphylococcus aureus inactivation by high pressure and mild heat[J].Process Biochemistry,2006,41(2):362-369.

    [4]

    Cebrian G,Sagarzazu N,Sagarzazu R.Development of stress resistance in Staphylococcus aureus after exposure to sublethal stress[J].Food Microbiology,2010,140(1):26-33.

    [5]

    Chawla R,Patil G R,Singh A K.High hydrostatic pressure technology in dairy processing:a review[J].J Food Sci Tech,2011,48(3):260-268.

    [6]

    Demazeau G,Rivalain N.The development of high hydrostatic pressure processes as an alternative to other pathogen reduction[J].J Appl Microbiol,2011,110(6):1359-1369.

    [7]

    Mafart P,Couvert O,Gaillard S,et al.On calculating sterility in thermal preservation methods:application of the Weibull frequency distribution model[J].Int J Food Microbiol,2002,72(1-2):107-111.

    [8]

    Bistouni F,Jahanshahi M.Evaluating failure rate of faulttolerant multistage interconnection networks using Weibull life distribution[J].Reliab Eng Syst Safe,2015,144:128-146.

    [9]

    Chatterjee T,Chatterjee B K,Majumdar D,et al.Antibacterial effect of silver nanoparticles and the modeling of bacterial growth kinetics using a modified Gompertz model[J].Bba-Gen Subjects,2015,1850(2):299-306.

    [10]

    Sagarzazu N,Cebrian G,Pagan R.Resistance of Campylobacter jejuni to heat and to pulsed electric fields[J].Innov Food Sci Emerg Technol,2010,11(2):283-289.

    [11] 卢蓉蓉,钱平,何红艳,等.超高压杀灭低酸性食品中耐压菌的动力学模型[J].农业工程学报,2010,26(9):350-356.
    [12]

    Kim S R,Rhee M S,Kim B C.Modeling the inactivation of Salmonella typhimurium by supercritical carbon dioxide in physiological saline and phosphate-buffered saline[J].J Microbiol Meth,2007,70:132-141.

    [13] 冯晓慧,王庆国,王仁欢,等.牛肉中单增李斯特菌的热失活模型[J].微生物学报,2011,51(5):684-691.
    [14]

    Xing X,Zhang Y,Wu Qian,et al.Prevalence and characterization of Staphylococcus aureus isolated from goat milk powder processing plants[J].Food Control,2016,59:644-650.

    [15]

    Molina-Gutierrez A,Stippl V,Delgado A,et al.In situ determination of intracellular p H of Lactococcus lactis and Lactobacillus plantarum during pressure treatment[J].Appl Environ Microb,2002,68(9):4399-4406.

    [16]

    Govers S K,Aertsen A.Impact of high hydrostatic pressure processing on individual cellular resuscitation times and protein aggregates in Escherichia coli[J].Int J Food Microbiol,2015,213:17-23.

    [17] 沈萍,范秀容,李广武.微生物学实验(第3版)[M].北京:高等教育出版社,2000:92-94.
    [18]

    García-Gimeno R M,Hervás-Martínez C,de Silóniz M I.Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food[J].Int J Food Microbiol,2002,72(1-2):19-30.

    [19]

    Sagarzazu N,Cebrian G,Condon S,et al.High hydrostatic pressure resistance of Campylobacter jejuni after different sublethal stresses[J].J Appl Microbiol,2009,109(1):146-155.

    [20]

    Bover-Cid S,Belletti N,Garriga M.Model for Listeria monocytogenes inactivation on dry-cured ham by high hydrostatic pressure processing[J].Food Microbiol,2011,28(4):804-809.

    [21]

    Hui-Seung K,Sang-Do H,Seung-Weon J,et al.Predictive modeling of Staphylococcus aureus growth on Gwamegi(semidry pacific saury)as a function of temperature[J].J Korean Soc Appl Biol Chem,2013,56(6):731-738.

    [22]

    Bistouni F,Jahanshahi M.Evaluating failure rate of faulttolerant multistage interconnection networks using Weibull life distribution[J].Reliab Eng Syst Safe,2015,144:128-146.

    [23]

    Chen H,Hoover D G.Use of Weibull model to describe and predict pressure inactivation of Listeria monocytogenes Scott A in whole milk[J].Innov Food Sci Emerg Technol,2004,5(3):269-276.

    [24]

    Ding T,Shim Y H,Kim H N.Dvelopment of predictive model for the growth of Staphylococcus aureus in kimbab[J].Food Sci Biotechnol,2011,20(2):471-476.

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  • 收稿日期:  2016-01-17

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