响应面法优化IgY抑制具核梭杆菌增殖的研究
发布时间:2018-02-13 00:01
本文关键词: 响应面优化 具核梭杆菌 免疫球蛋白Y 增殖 出处:《口腔医学研究》2017年10期 论文类型:期刊论文
【摘要】:目的:利用响应面法研究免疫球蛋白Y(IgY)影响口腔唾液模拟环境中具核梭杆菌(F.nucleatum)的生长繁殖特性,发现F.nucleatum最终菌落数与培养时间、F.nucleatum初始接种浓度和IgY剂量的关系。方法:以F.nucleatum最终菌落数为评价指标,在单因素试验基础上,设计三因素三水平响应面实验进行优化,通过响应面法对回归方程的分析,得到各因素最佳条件,优化后的条件重复试验3次,以验证模型的准确性。结果:以2×10~6CFU/mL初始浓度接种F.nucleatum、181mmol/L剂量给药IgY,培养时间6h得到最终菌落数4.52×10~4 CFU/mL,与预测值相对误差小于5%,方差分析表明模型P值显著,缺失值P值不显著,理论值与实测值拟合度良好,优化后F.nucleatum最终菌落数显著降低。结论:响应面法优化结果表明IgY能显著抑制口腔唾液模拟环境中具核梭杆菌的增殖,回归模型能够预测IgY影响口腔唾液模拟环境中F.nucleatum增殖的特性。
[Abstract]:Objective: to study the growth and reproduction characteristics of F. nucleatum (F. nucleatum) in oral saliva simulated environment affected by immunoglobulin YG IgY by using response surface method (RSM). The relationship between the final colony number of F. nucleatum and the initial inoculation concentration of F. nucleatum and the dose of IgY was found. Methods: based on the single factor test, three factors and three levels of response surface test were designed to optimize F. nucleatum final colony number. Through the analysis of the regression equation by the response surface method, the optimum conditions of each factor are obtained, and the optimized conditions are repeated for 3 times. Results: at the initial concentration of 2 脳 10 ~ (-6) CFU / mL, the final colony number was 4.52 脳 10 ~ (4) CFU / mL, and the relative error from the predicted value was less than 5. The variance analysis showed that the model P value was significant, the missing value P value was not significant, and the final colony number was 4.52 脳 10 ~ (4) CFU / mL for 6 h. Conclusion: the response surface method showed that IgY could significantly inhibit the proliferation of Clostridium nucleatum in oral saliva simulated environment. [WT5 "HZ] [WT5" BZ] [WT5 "BZ] [WT5" BZ] [WT5BZ] the results showed that IgY could significantly inhibit the proliferation of Clostridium nucleatum. The regression model can predict the effect of IgY on the proliferation of F. nucleatum in oral saliva simulation environment.
【作者单位】: 上海美加净日化有限公司;上海海洋大学食品学院;上海海洋大学海洋科学研究院;上海水产品加工与贮藏工程技术研究中心;
【分类号】:R780.2
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