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中国精品科技期刊2020
唐晓阳, 韩婷, 谢晶, 潘迎捷, 赵勇. 不同致病性副溶血性弧菌在南美白对虾中的生长动力学参数比较研究[J]. 食品工业科技, 2013, (02): 78-82. DOI: 10.13386/j.issn1002-0306.2013.02.037
引用本文: 唐晓阳, 韩婷, 谢晶, 潘迎捷, 赵勇. 不同致病性副溶血性弧菌在南美白对虾中的生长动力学参数比较研究[J]. 食品工业科技, 2013, (02): 78-82. DOI: 10.13386/j.issn1002-0306.2013.02.037
Comparison of growth parameters of different pathogenic Vibrio parahaemolyticus stains on Litopenaeus vannamei[J]. Science and Technology of Food Industry, 2013, (02): 78-82. DOI: 10.13386/j.issn1002-0306.2013.02.037
Citation: Comparison of growth parameters of different pathogenic Vibrio parahaemolyticus stains on Litopenaeus vannamei[J]. Science and Technology of Food Industry, 2013, (02): 78-82. DOI: 10.13386/j.issn1002-0306.2013.02.037

不同致病性副溶血性弧菌在南美白对虾中的生长动力学参数比较研究

Comparison of growth parameters of different pathogenic Vibrio parahaemolyticus stains on Litopenaeus vannamei

  • 摘要: 为了探讨不同致病性副溶血性弧菌(pathogenic Vibrio parahaemolyticus,pVp)在南美白对虾及其他生长基质(培养基和三文鱼)中生长动力学参数的差异。测定了12℃和35℃下,三株pVp(含有tdh基因):ATCC33847、F13、临床分离株(Clinical Vibrio parahaemolyticus strain,CV)在南美白对虾中的生长曲线,采用不同一级模型拟合得出生长动力学参数并与同类研究进行比较。结果显示,Baranyi模型对三株致病性副溶血性弧菌生长曲线的拟合效果最好。通过将本研究结果与同类研究相比可知,血清型为O3:K6的致病性副溶血性弧菌CV在12℃和35℃下在南美白对虾中的μmax均大于同类研究中的pVp在培养基和三文鱼中的μmax。不同的pVp菌株在12℃、不同生长基质中的生长动力学参数存在较大差异。由此可见,在构建副溶血性弧菌的生长预测模型及进行风险评估时,应充分考虑不同菌株之间以及不同生长基质之间的差异对微生物生长动力学参数的影响。 

     

    Abstract: In order to study the growth parameters differences of different pathogenic Vibrio parahaemolyticus on Litopenaeus vannamei and other growth matrix (broth and salmon) . The growth curve of ATCC33847, F13, and Clinical Vibrio parahaemolyticus strain (CV) on Litopenaeus vannamei under 12℃ and 35℃ was tested and the growth data was fitted by different primary models to derive the growth parameters and to compare them with similar researches. It was revealed that Baranyi model fit the growth data of three pVp well. By comparing with similar researches, under 12℃ and 35℃, the μ max of pVp CV (serotype O3:K6) on Litopenaeus vannamei was higher than the μ max of pVp in broth and salmon. Different pVp showed different growth parameters under 12℃ in different growth matrix. It could be concluded that the influence from the variability of different bacterial strains or growth matrix on the growth parameters of microorganisms should be fully considered when predictive growth model was to be constructed and risk assessment that would be performed.

     

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