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Multiple response optimization of the effect of thyme essential oil against Listeria monocytogenes in ground meat at different times and temperatures

机译:百里香精油对绞肉在不同时间和温度下单核细胞增生李斯特氏菌作用的多重响应优化

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摘要

Response surface methodology was used to optimize conditions (e.g., Thyme oil concentration [0.0-0.57%] and storage temperature [0.0-14.14 degrees C]) for inhibiting the growth of L. monocytogenes (log cfu/g) in ground meat. Additionally, the effect of the variables; namely, temperature and concentration on mu(max) (maximum specific growth rate, In cfu/g/h) values was also evaluated using a proposed combined model. The best fitting second order polynomial models were developed for each response using multiple linear regression analysis with backward elimination regression (BER) procedure. In this paper, multi-response surfaces using, desirability function approaches were successfully applied to determine optimum operating conditions. Under these optimum treatment and storage parameters, L. monocytogenes populations at hours 6, 24, 48, 72 and 96 were 6.12, 5.96, 5.88, 5.81 and 5.41 log cfu/g and 0.0011n cfu/g/h, respectively and mu(max) value 0.0011n cfu/g/h. At the end, the proposed combined model is described numerically and experimentally.
机译:响应面方法用于优化条件以抑制绞肉中单核细胞增生李斯特氏菌的生长(log cfu / g)(例如,百里香油浓度[0.0-0.57%]和储存温度[0.0-14.14摄氏度])。此外,变量的影响;也就是说,还使用建议的组合模型评估了温度和mu(max)浓度(最大比生长速率,In cfu / g / h)值。使用多元线性回归分析和后向消除回归(BER)程序,为每个响应开发了最合适的二阶多项式模型。在本文中,使用期望函数方法的多响应表面已成功应用于确定最佳操作条件。在这些最佳处理和存储参数下,第6、24、48、72和96小时的单核细胞增生李斯特菌种群分别为6.12、5.96、5.88、5.81和5.41 log cfu / g和0.0011n cfu / g / h和mu(最大)值0.0011n cfu / g / h。最后,对所提出的组合模型进行了数值和实验描述。

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