Nisin、ε-聚赖氨酸和温度对枯草芽孢杆菌失活动力学的影响
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  • 英文篇名:Effects of nisin,ε-polylysine,and temperature on inactivation kinetics of Bacillus subtilis
  • 作者:郭全友 ; 刘玲 ; 李保国 ; 姜朝军
  • 英文作者:GUO Quanyou;LIU Ling;LI Baoguo;JIANG Chaojun;East China Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences;School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology;
  • 关键词:枯草芽孢杆菌 ; Nisin ; ε-聚赖氨酸 ; 温度 ; 失活
  • 英文关键词:Bacillus subtilis;;nisin;;ε-polylysine;;temperature;;inactivation
  • 中文刊名:SPFX
  • 英文刊名:Food and Fermentation Industries
  • 机构:中国水产科学研究院东海水产研究所;上海理工大学医疗器械与食品学院;
  • 出版日期:2019-03-27 18:34
  • 出版单位:食品与发酵工业
  • 年:2019
  • 期:v.45;No.383
  • 基金:中央级公益性科研院所基本科研业务费专项资金(2016M04);; 国家自然科学基金资助项目(31871872);; 上海市自然科学基金(16ZR1444900)
  • 语种:中文;
  • 页:SPFX201911010
  • 页数:8
  • CN:11
  • ISSN:11-1802/TS
  • 分类号:62-68+74
摘要
以源自熟制对虾虾仁的优势腐败菌枯草芽孢杆菌为对象,对温度(25、37和45℃)、Nisin和ε-聚赖氨酸在酸性环境(p H=5)作用下其失活效应进行分析,并采用线性模型、Weibull模型、Log-logistic模型对不同处理条件下枯草芽孢杆菌的失活动力学进行拟合和评价。结果表明:25~45℃时,枯草芽孢杆菌失活量随Nisin和ε-聚赖氨酸的浓度变化而变化。温度由25℃升高至45℃,Nisin和ε-聚赖氨酸作用下枯草芽孢杆菌失活量呈先升后降趋势,37℃时失活效果最佳,25℃和45℃时,ε-聚赖氨酸作用下的失活效果优于Nisin,37℃时,两者差异不显著。处理180 min终点枯草芽孢杆菌数均降至0。Log-logistic模型与Weibull模型均能很好拟合其失活过程,而线性模型难以描述失活动力学,Log-logistic模型拟合优度优于Weibull模型。通过构建虾源枯草芽孢杆菌在温度、Nisin和ε-聚赖氨酸作用下失活模型,为优化靶向生物杀菌和延长水产品货架期等提供依据。
        This study was constructed to study the inactivation effects of temperature( 25,37,and 45 ℃),nisin,and ε-polylysine on Bacillus subtilis isolated from cooked shrimps under acidic environment( pH = 5). Linear model,weibull model,and log-logistic model were used to fit and evaluate inactivation kinetics of B. subtilis under different treatment conditions. The results showed that the inactivation number of B. subtilis increased with increasing concentrations of nisin and ε-polylysine at 25-45 ℃. When the temperature increased from 25 ℃ to 45 ℃,the inactivation effects of nisin and ε-polylysine increased and then decreased,and both of them showed the best effects at37 ℃. Additionally,at 25 ℃ and 45 ℃,ε-polylysine showed better inactivation effects than nisin. Furthermore,the number of B. subtilis after 180 min treatment reduced to zero. It was difficult to describe the inactivation kinetics using linear model,but both log-logistic model and weibull model fitted well,and log-logistic model was better. By constructing an inactivation model of B. subtilis based on the effects of temperature,nisin,and ε-polylysine,this study provides a basis for optimizing targeted bio-sterilization process and prolonging the shelf-life of aquatic products.
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