• EI
  • Scopus
  • 食品科学与工程领域高质量科技期刊分级目录第一方阵T1
  • DOAJ
  • EBSCO
  • 北大核心期刊
  • 中国核心学术期刊RCCSE
  • JST China
  • FSTA
  • 中国精品科技期刊
  • 中国农业核心期刊
  • CA
  • WJCI
  • 中国科技核心期刊CSTPCD
  • 中国生物医学SinoMed
中国精品科技期刊2020
陈鹏, 程镜蓉, 杨禹新, 方少钦, 刘学铭. 冷鲜黄羽肉鸡货架期预测模型的建立与评价[J]. 食品工业科技, 2016, (12): 144-148. DOI: 10.13386/j.issn1002-0306.2016.12.020
引用本文: 陈鹏, 程镜蓉, 杨禹新, 方少钦, 刘学铭. 冷鲜黄羽肉鸡货架期预测模型的建立与评价[J]. 食品工业科技, 2016, (12): 144-148. DOI: 10.13386/j.issn1002-0306.2016.12.020
CHEN Peng, CHENG Jing-rong, YANG Yu-xin, FANG Shao-qin, LIU Xue-ming. Establishment and evaluation of predictive model for the shelf life of chilled yellow broiler[J]. Science and Technology of Food Industry, 2016, (12): 144-148. DOI: 10.13386/j.issn1002-0306.2016.12.020
Citation: CHEN Peng, CHENG Jing-rong, YANG Yu-xin, FANG Shao-qin, LIU Xue-ming. Establishment and evaluation of predictive model for the shelf life of chilled yellow broiler[J]. Science and Technology of Food Industry, 2016, (12): 144-148. DOI: 10.13386/j.issn1002-0306.2016.12.020

冷鲜黄羽肉鸡货架期预测模型的建立与评价

Establishment and evaluation of predictive model for the shelf life of chilled yellow broiler

  • 摘要: 为建立冷鲜黄羽肉鸡的货架期预测模型,将冷鲜黄羽肉鸡用托盘包装后,置于-1、4、10、15、20℃贮藏,分别测定不同贮藏时间的细菌总数,同时对4℃贮藏的冷鲜黄羽肉鸡的挥发性盐基氮进行分析,确定最小腐败限控量NS为5.67 lg(CFU/g)。使用修正的Gompertz模型、Baranyi模型及修正的Logistic模型分别描述细菌总数随时间变化的情况,并使用平方根模型描述一级模型所得参数随温度变化的情况。通过比较各模型所得的参数、回归系数(R2)、偏差因子(Bf)、准确因子(Af)以及二级模型的残差平方和(RSS),确定修正的Gompertz的拟合优度最好。在以修正的Gompertz模型为生长预测模型的基础上,构建冷鲜黄羽肉鸡的货架期预测模型,结果显示5种温度下的预测值与实测值之间的相对均误差均小于10%,表明建立的模型能够快速准确的预测-120℃贮藏条件下冷鲜黄羽肉鸡的货架期。 

     

    Abstract: In order to establish a predictive model for the shelf- life of chilled yellow broiler,samples were packed in trays and stored at-1,4,10,15,and 20 ℃,respectively,and their aerobic plate count were determined.Meanwhile,chilled yellow broiler was analyzed for total volatile basic nitrogen during storage at 4 ℃. Results showed that the average number of total viable counts was 5.67 lg( CFU / g) at the end of the shelf life.The primary models,modified Gompertz,Baranyi and modified Logistic were applied to describe the change of total bacterial counts with time,and their secondary models,square root equations,were used to describe the change of parameters from primary models with time.The modified Gompertz model was evaluated as the best goodness of fit by comparing the model parameters,regression coefficient( R2),bias factor( Bf),accuracy factor( Af) and residual sum of squares( RSS) of the secondary models. On the basis of modified Gompertz,the relative error between predicted value obtained from total bacterial count growth prediction model and its observed shelf life was less than 10%.Which indicated the predictive model was reliable for the shelf- life of chilled yellow broiler meat stored at temperature ranging from-1 to 20 ℃.

     

/

返回文章
返回