Inactivation of Escherichia coli O157:H7 by high pressure carbon dioxide combined with nisin in physiological saline, phosphate-buffered saline and carrot juice

被引:13
作者
Bi, Xiufang [1 ]
Wang, Yongtao [1 ]
Zhao, Feng [1 ]
Zhang, Yan [1 ]
Rao, Lei [1 ]
Liao, Xiaojun [1 ]
Hu, Xiaosong [1 ]
Sun, Zhijian [1 ]
机构
[1] China Agr Univ, Coll Food Sci & Nutrit Engn, Engn Res Ctr Fruit & Vegetable Proc, Key Lab Fruit & Vegetable Proc,Minist Agr,Minist, Beijing 100083, Peoples R China
关键词
High pressure carbon dioxide; Nisin; Inactivation; Model; SACCHAROMYCES-CEREVISIAE; LACTOBACILLUS-PLANTARUM; MICROORGANISMS; SALMONELLA; KINETICS; MEMBRANE; MODEL;
D O I
10.1016/j.foodcont.2014.01.012
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The individual and combined effects of high pressure carbon dioxide (HPCD) and nisin (200 IU/mL) on the inactivation of Escherichia coli O157:H7 suspended in physiological saline (PS, pH 5.60), phosphate-buffered saline (PBS, pH 5.60 or 7.00) or carrot juice (pH 6.80) were evaluated. The pressure in this study was 5 and 8 MPa, the temperature was 25 degrees C-45 degrees C, and the treatment time was 5-65 min. Inactivation of cells in PS (pH 5.60) by HPCD followed first order kinetics, the k (the inactivation rates) increased while the D (decimal reduction time) decreased in the presence of nisin, however, the acid solution dissolving nisin rather than nisin itself played a prominent role in this combination effect with HPCD in PS buffer. The inactivation kinetics of cells in PBS (pH 5.60 or 7.00) and carrot juice (pH 6.80) by HPCD followed low-to-fast two-stage kinetics and was fitted by the modified Gompertz equation. The M (the time at which the absolute death rate is maximum) significantly decreased in the presence of nisin. HPCD enhanced the sensitization of E. coli to nisin and the time for the complete inactivation was shortened by 2.5-5 min in PBS buffer and carrot juice by combination of HPCD and nisin (HPCD + nisin) than by HPCD alone. Regression coefficients (R-2) and mean square error (MSE) were used to evaluate the model performance, indicating that the models could provide a good fitting to the experimental data. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:139 / 146
页数:8
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