食品科学

• 基础研究 • 上一篇    下一篇

缢蛏冰温保活过程中菌相变化及优势腐败菌生长动力学建模

储建军1,傅玲琳1,王 翀1,周德庆2,王海燕3,王彦波1,*   

  1. 1.浙江工商大学食品与生物工程学院,浙江省食品微生物技术研究重点实验室,浙江 杭州 310018;2.中国水产科学研究院黄海水产研究所,山东 青岛 266071;3.南京财经大学管理科学与工程学院,江苏 南京 210046
  • 出版日期:2017-01-15 发布日期:2017-01-16

Changes in Microbial Community and Dynamic Models for the Growth of Specific Spoilage Bacteria in Sinonovacula constricta during Controlled Freezing-Point Storage

CHU Jianjun1, FU Linglin1, WANG Chong1, ZHOU Deqing2, WANG Haiyan3, WANG Yanbo1,*   

  1. 1. Key Laboratory for Food Microbial Technology of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China; 2. Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China; 3. School of Management Science and Industrial Engineering, Nanjing University of Finance and Economics, Nanjing 210046, China
  • Online:2017-01-15 Published:2017-01-16

摘要: 为明确冰温保活对缢蛏品质的影响,应用Illumina MiSeq高通量测序技术研究缢蛏冰温保活过程中微生物多样性变化,并以保活期终点鉴定得到的优势腐败菌假单胞菌(Pseudomonas spp.)为研究对象,建立和验证不同温度条件下的生长动力学模型。结果表明:缢蛏初始菌相中,优势菌为弓形杆菌(Arcobacter spp.)、拟杆菌科未分类属和Psychrilyobacter spp.,比例分别为16.2%、8.4%和7.2%。保活期终点时,假单胞菌数目明显增多,成为优势腐败菌,所占比例为26.2%。次优势菌为弧菌科未分类属、嗜冷单胞菌(Psychromonas spp.)、弓形杆菌和Psychrilyobacter spp.,比例分别为17.8%、14.4%、13.0%和11.8%。修正的Gompertz模型能够有效拟合低温(-1.5~15.0 ℃)条件下假单胞菌的生长,所得的相关系数R2均在0.98以上,偏差度和准确度均在可接受范围之内。采用平方根模型拟合温度与最大比生长速率μmax、温度与延滞时间λ的关系,相关系数R2分别为0.963和0.970,线性关系良好,建立的Gompertz模型可对-1.5~15.0 ℃温度范围内假单胞菌的生长进行预测。

关键词: 缢蛏, 冰温保活, 高通量测序, 菌相分析, 动力学模型

Abstract: This study was designed to explore the effect of controlled freezing-point storage (CFPS) on the quality of
Sinonovacula constricta. The structure and dynamics of the microbial community in Sinonovacula constricta during CFPS
was investigated by Illumina high-throughput sequencing technology. The growth kinetics of specific spoilage bacteria
(Pseudomonas spp.) was modeled and validated at different temperatures. The results showed that the initial bacterial flora
in fresh Sinonovacula constricta was composed of Arcobacter spp. (16.2%), Bacteroidales (8.4%) and Psychrilyobacter
spp. (7.2%). At the end of the survival period, Pseudomonas spp. became the specific spoilage bacteria, which accounted for
26.2% of the total bacterial population, followed by Vibrionaceae, Psychromonas spp., Arcobacter spp. and Psychrilyobacter
spp., with proportions of 17.8%, 14.4%, 13.0% and 11.8%, respectively. The growth dynamics of Pseudomonas spp. at
low temperatures (−1.5?15.0 ℃) could be described by the modified Gompertz model. The determination coefficient (R2)
of the model exceeded 0.98 and both the bias factor and accuracy factor were within a statistically acceptable range. The
square-root model for temperature dependence of the specific growth rate and lag-phase duration showed good linearity with
determination coefficients (R2) of 0.963 and 0.970, respectively. The Gompertz model established could predict the growth
of Pseudomonas spp. in the range of −1.5?15.0 ℃.

Key words: Sinonovacula constricta, controlled freezing-point storage, high-throughput sequencing, microfloral analysis, dynamic model

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