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Modeling the Reduction of Salmonella spp. on Chicken Breasts and Wingettes during Scalding for QMRA of the Poultry Supply Chain in China

文献类型: 外文期刊

作者: Xiao, Xingning 1 ; Wang, Wen 2 ; Zhang, Xibin 3 ; Zhang, Jianmin 5 ; Liao, Ming 5 ; Yang, Hua 2 ; Zhang, Qiaoyan 2 ; Rain 1 ;

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

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

3.Shandong Agr Univ, Coll Food Sci & Engn, Shandong 271018, Shandong, Peoples R China

4.New Hope Liuhe Co Ltd, Beijing 266000, Peoples R China

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

6.Univ Arkansas, Dept Ind Engn, Fayetteville, AR 72701 USA

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

关键词: poultry scalding; Salmonella reduction; probability distribution; Weibull model

期刊名称:MICROORGANISMS ( 影响因子:4.128; )

ISSN: 2076-2607

年卷期: 2019 年 7 卷 6 期

页码:

收录情况: SCI

摘要: The objective of this study was to develop predictive models for describing the inoculated Salmonella reductions on chicken during the scalding process in China. Salmonella reductions on chicken breasts at a 100 s treatment were 1.12 +/- 0.07, 1.38 +/- 0.01, and 2.17 +/- 0.11 log CFU/g at scalding temperatures of 50, 60 and 70 degrees C, respectively. For chicken wingettes, 0.87 +/- 0.02, 0.99 +/- 0.14 and 1.11 +/- 0.17 log CFU/g reductions were obtained at 50, 60 and 70 degrees C after the 100 s treatment, respectively. Greater bacterial reductions were observed on chicken breasts than on chicken wingettes (p < 0.05). A logistic (-1.12, 0.06) distribution could describe the bacterial reductions on chicken breasts at 50-60 C. Weibull, exponential and log-linear models were compared for describing the bacterial reduction on chicken breasts at 70 degrees C and the Weibull model showed the best fit as indicated by the pseudo-R-2, root mean square error (RMSE) and standard error of prediction (SEP) values. For chicken wingettes, a logistic (-0.95, 0.07) distribution could be used to describe the bacterial reduction at 50-70 degrees C. The developed predictive models could provide parts of the input data for microbial risk assessment of the poultry supply chain in China.

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