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作 者:岳晓禹[1,2] 李自刚[1] 郝修振[1] 徐军[1] 刘相东[2] 牛天贵[2]
机构地区:[1]河南牧业经济学院质检系,郑州450011 [2]中国农业大学工学院,北京100083
出 处:《农业工程学报》2013年第18期269-276,共8页Transactions of the Chinese Society of Agricultural Engineering
基 金:2011年河南省重点科技发展计划(112102110034);河南省教育厅自然科学研究计划项目(2011A550014;12A550007);河南省高等学校青年骨干教师资助计划;河南牧业经济学院博士科研启动资金项目(5040190)
摘 要:为了模拟贮藏玉米中主要生态因子对黄曲霉生长的影响,利用Baranyi和Roberts函数拟合了玉米中黄曲霉的生长数据,得到了不同温度和水分活度下玉米中黄曲霉的生长动力学模型。应用一个二次多项式函数分别建立了描述水分活度(a_w)和温度对菌落生长的组合影响的模型。对模型的有效性分别进行了验证,其偏离因子分别为0.896和0.963。精确因子都小于1.15。结果证明构建的二次多项式预测模型可以很好的预报a_w和温度对黄曲霉生长的比生长速率和迟滞期的组合影响。得出的方程可以用于预测贮藏玉米中黄曲霉生长情况。The safety of com storage is related to food safety and human health. According to the predictive microbiology, the microorganism's growth in stored corn can be quickly judged in advance by construction of a predictive microbiology model. It plays an important part in controlling the growth of pathogens and spoilage microorganisms in stored grain. It is of important theoretical and practical application value to realize the ecological storage of corn and ensure the security of corn storage. The radial growth of A. flavus on corn was studied in this article. The testing of four temperatures and four aw values was designed. A full factorial design of four temperatures (20, 25, 30, and 35℃) and four aw values (0.97, 0.91, 0.85, 0.81) was used to investigate the growth of A. flavus on corn. The colony growth curve of A. flavus on corn was determined. The objective of the present study was to develop validated models that describe the effect of the main ecological factors on the radial growth of Aspergillusflavus on corn. The growth data ofA. flavus on corn under different temperatures and water activity were fitted by the Baranyi and Roberts functions. The corresponding growth kinetics models were built. The higher R2 (0.993-0.998) showed that these growth kinetics models can be a good fit of the experimental conditions on the growth curve of A. flavus on com. Afterwards, a quadratic polynomial function relating colony growth rate or lag phase to aw and temperature were developed. The models described the combined effect of aw and temperature on the 'growth rate and th lag phase. The models were validated by using independently collected data, respectively. The obtained bias factors ranged from 0.896 to 0.963, and the accuracy factors were less than 1.15. The MSEs (0.008-0.334) were low, also. These observations were confirmed by the distribution of the validation data about the 3D surfaces of the models. Generally, the validation data was evenly distributed about the model surfaces developed fr
分 类 号:TS21[轻工技术与工程—粮食、油脂及植物蛋白工程]
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