首页> 外文期刊>International Journal of Food Microbiology >Predictive model and optimization of a combined treatment of caprylic acid and citric acid for the reduction of Escherichia coli O157:H7 using the response surface methodology
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Predictive model and optimization of a combined treatment of caprylic acid and citric acid for the reduction of Escherichia coli O157:H7 using the response surface methodology

机译:响应面法用于减少大肠杆菌O157:H7的辛酸和柠檬酸联合处理的预测模型和优化

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摘要

Our recent previous study reported the outstanding synergistic bactericidal activity of a combination of two natural antimicrobials: caprylic acid (CA) and citric acid (CTA). In the present study, the response surface methodology was used with the central composite design to build a model based on four factors, i.e., the CA concentration, CTA concentration, temperature, and treatment time, for the reduction of Escherichia coli O157:H7. This model was used to determine the optimum conditions for desirable responses and to evaluate the effects of experimental factors. The ranges of the four variables used in the design were as follows: CA concentration (0.25, 0.50, 0.75, 1.00, and 1.25 mM), CTA concentration (0.25, 0.50, 0.75, 1.00, and 1.25 mM), temperature (25, 30, 35, 40, and 45 degrees C), and time (1, 3, 5, 7, and 9 min). A second-order quadratic model of the effect of four variables was constructed and the experimental values agreed well with the values derived from model equation (R-2 = 0.954). The adequacy of this model for predicting the magnitude of bacterial reduction was verified based on the validation data (R-2 = 0.946). The optimum conditions for the combined treatment for microbial reduction were determined by ridge analysis, which were 1.0 mM CA and 0.8 mM CFA at 39.6 degrees C for 5.4 min. The CA concentration and temperature were the most significant variables. This study provides a comprehensive understanding of the bactericidal effects of the combined CA and CTA treatment. A distinct advantage of the proposed method is its cost-effectiveness. This treatment could be used as a preservative in the food industry because the two components are natural products. (C) 2014 Elsevier B.V. All rights reserved.
机译:我们最近的先前研究报告了两种天然抗菌剂:辛酸(CA)和柠檬酸(CTA)的组合具有杰出的协同杀菌活性。在本研究中,将响应面方法与中央复合设计一起用于基于四个因素(即CA浓度,CTA浓度,温度和处理时间)建立模型,以减少大肠杆菌O157:H7。该模型用于确定理想响应的最佳条件,并评估实验因素的影响。设计中使用的四个变量的范围如下:CA浓度(0.25、0.50、0.75、1.00和1.25 mM),CTA浓度(0.25、0.50、0.75、1.00和1.25 mM),温度(25, 30、35、40和45摄氏度)和时间(1、3、5、7和9分钟)。构建了四个变量影响的二次模型,实验值与模型方程得出的值非常吻合(R-2 = 0.954)。基于验证数据(R-2 = 0.946),验证了该模型是否足以预测细菌减少的程度。通过岭分析确定用于微生物还原的联合处理的最佳条件,即在39.6摄氏度下5.4分钟的时间为1.0 mM CA和0.8 mM CFA。 CA浓度和温度是最重要的变量。这项研究对CA和CTA联合治疗的杀菌效果提供了全面的了解。所提出的方法的显着优点是其成本效益。这种处理可以在食品工业中用作防腐剂,因为这两种成分都是天然产品。 (C)2014 Elsevier B.V.保留所有权利。

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