TY - JOUR
T1 - Predictive model and optimization of a combined treatment of caprylic acid and citric acid for the reduction of Escherichia coli O157
T2 - H7 using the response surface methodology
AU - Kim, S. A.
AU - Rhee, M. S.
N1 - Publisher Copyright:
© 2014 Elsevier B.V.
PY - 2015/3/6
Y1 - 2015/3/6
N2 - 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 1.25mM), CTA concentration (0.25, 0.50, 0.75, 1.00, and 1.25mM), temperature (25, 30, 35, 40, and 45°C), and time (1, 3, 5, 7, and 9min). 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 (R2=0.954). The adequacy of this model for predicting the magnitude of bacterial reduction was verified based on the validation data (R2=0.946). The optimum conditions for the combined treatment for microbial reduction were determined by ridge analysis, which were 1.0mM CA and 0.8mM CTA at 39.6°C for 5.4min. 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.
AB - 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 1.25mM), CTA concentration (0.25, 0.50, 0.75, 1.00, and 1.25mM), temperature (25, 30, 35, 40, and 45°C), and time (1, 3, 5, 7, and 9min). 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 (R2=0.954). The adequacy of this model for predicting the magnitude of bacterial reduction was verified based on the validation data (R2=0.946). The optimum conditions for the combined treatment for microbial reduction were determined by ridge analysis, which were 1.0mM CA and 0.8mM CTA at 39.6°C for 5.4min. 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.
KW - Bacterial reduction
KW - Central composite design
KW - Combined treatment
KW - Four variables
KW - Model equation
UR - http://www.scopus.com/inward/record.url?scp=84920933547&partnerID=8YFLogxK
U2 - 10.1016/j.ijfoodmicro.2014.12.006
DO - 10.1016/j.ijfoodmicro.2014.12.006
M3 - Article
C2 - 25544642
AN - SCOPUS:84920933547
SN - 0168-1605
VL - 197
SP - 9
EP - 14
JO - International Journal of Food Microbiology
JF - International Journal of Food Microbiology
ER -