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Modeling the Reduction and Cross-Contamination of Salmonella in Poultry Chilling Process in China

文献类型： 外文期刊

作者： Xiao, Xingning 1 ; Wang, Wen 2 ; Zhang, Jianmin 3 ; Liao, Ming 3 ; Yang, Hua 2 ; Fang, Weihuan 4 ; Li, Yanbin 1 ;

作者机构： 1.Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310058, Zhejiang, Peoples R China

2.Zhejiang Acad Agr Sci, Inst Qual & Stand Agr Prod, State Key Lab Qual & Safety Agroprod, MOA Lab Qual & Safety Risk Assessment Agroprod Ha, Hangzhou 310021, Zhejiang, Peoples R China

3.South China Agr Univ, Coll Vet Med, Guangzhou 510642, Guangdong, Peoples R China

4.Zhejiang Univ, Coll Anim Sci, Hangzhou 310058, Zhejiang, Peoples R China

5.Univ Arkansas, Dept Biol & Agr Engn, Fayetteville, AR 72701 USA

关键词： modeling; Salmonella; reduction; cross-contamination; poultry chilling

期刊名称：MICROORGANISMS （ 影响因子：4.128； ）

ISSN：

年卷期： 2019 年 7 卷 10 期

页码：

收录情况： SCI

摘要： The study was to establish a predictive model for reduction and cross-contamination of Salmonella on chicken in chilling process. Reduction of Salmonella on chicken was 0.75 +/- 0.04, 0.74 +/- 0.08, and 0.79 +/- 0.07 log CFU/g with 20, 50, and 100 mg/L of chlorine, respectively. No significant differences of bacterial reductions with 20-100 mg/L of chlorine were found and a Normal (-0.75, 0.1) distribution could describe the uncertainty of bacterial reductions. Inoculated and non-inoculated chicken samples were washed together and bacterial transfer rates among them were 0.13%-0.004% with 20-100 mg/L of chlorine. No significant differences of transfer rates with 50-100 mg/L of chlorine were observed and a Triangle (-2.5, -1.5, -1.1) distribution could describe the log transfer rate. Additionally, a 3-factor response surface model based on the central composite design was developed to evaluate the effects of initial contamination level (1-5 log CFU/g), pre-chill incidence (3%-40%) and chlorine concentration (0-100 mg/L) on post-chill incidence. The post-chill incidences in these treatments were within 30%-91.7%. The developed model showed a satisfactory performance to predict the post-chill incidence as evidenced by statistical indices (pseudo-R-2 = 0.9; p < 0.0001; RMSE = 0.21) and external validation parameters (B-f = 1.02; A(f) = 1.11).

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