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中国精品科技期刊2020
运用Real-time quantification PCR方法建立副溶血性弧菌在即食虾中的生长预测模型[J]. 华体会体育, 2013, (08): 108-110. DOI: 10.13386/j.issn1002-0306.2013.08.042
引用本文: 运用Real-time quantification PCR方法建立副溶血性弧菌在即食虾中的生长预测模型[J]. 华体会体育, 2013, (08): 108-110. DOI: 10.13386/j.issn1002-0306.2013.08.042
Establishment of Vibrio parahaemolyticus growth predictive model by Real-time quantification PCR on ready-to-eat Shrimp[J]. Science and Technology of Food Industry, 2013, (08): 108-110. DOI: 10.13386/j.issn1002-0306.2013.08.042
Citation: Establishment of Vibrio parahaemolyticus growth predictive model by Real-time quantification PCR on ready-to-eat Shrimp[J]. Science and Technology of Food Industry, 2013, (08): 108-110. DOI: 10.13386/j.issn1002-0306.2013.08.042

运用Real-time quantification PCR方法建立副溶血性弧菌在即食虾中的生长预测模型

Establishment of Vibrio parahaemolyticus growth predictive model by Real-time quantification PCR on ready-to-eat Shrimp

  • 摘要: 运用Real-time quantification PCR(real-time qPCR)方法建立副溶血性弧菌在即食虾中生长预测模型。首先构建质粒标准品,梯度稀释后建立标准曲线,然后用Real-time qPCR方法检测虾中副溶血性弧菌的数量,最后建立37℃下即食虾中副溶血性弧菌生长预测模型,并与传统涂布计数方法进行比较。结果表明,Real-time qPCR方法和传统计数方法均可建立Gmopertz模型、Logistic模型和Richards模型,模型拟合的相关系数R2均在0.9以上。基于Real-timeqPCR方法省时省力、特异性好等优点,用Real-time qPCR方法建立微生物预测模型是未来预测微生物学领域的一种发展趋势。 

     

    Abstract: The object was to establish growth predictive model of Vibrio parahaemolyticus on ready-to-eat shrimp by Real-time quantification PCR method. Firstly we constructed the standard plasmid and established the standard curve by 10-fold dilution. Secondly we detected the number of Vibrio parahaemolyticus on shrimp by real-time qPCR method. At last we established the growth predictive model of Vibrio parahaemolyticus on shrimp stored at 37℃ . We compared this model with a traditional predictive model which used the data obtained by construction of microbiological methods. The results showed that it could establish Gmopertz model, Logistic model and Richards model based on the real -time qPCR method and construction of microbiological method (R2 >0.9) . Establishment of a microbial predictive model by real-time qPCR method will be a trend of predictive microbiology field in the future, because of the advantage of real-time qPCR methods such as time-saving, labar-saving and accurate.

     

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