摘要
为了研究不同产地苹果贮藏期内酸度变化情况并对酸度进行预测,采用了计算机断层扫描(CT)技术对苹果进行了无损检测,并通过二次拟合建立预测模型。试验结果探明了苹果贮藏期内酸度的变化情况,建立了不同产地苹果酸度和CT值的响应曲面模型以及综合的酸度预测模型。验证试验结果表明,预测模型的平均误差率为12.14%,模型表现出了良好的预测效果。
In order to study the changes of the acidity in apple produced in different habitat during the storage time and predict the acidity,Computed tomography （CT） was used in the apple nondestructive testing,and a prediction model was also established by the quadratic fitting. The changes of apple during the storage time were proven by the results,what＇s more a response surface model combining the acidity and the CT number and an acidity prediction model were established. The confirmation experiment indicates that the average error rate was12.14% ,which shows a good adaptability and predicting effect.
出处
《食品与生物技术学报》
CAS
CSCD
北大核心
2013年第6期586-590,共5页
Journal of Food Science and Biotechnology
基金
浙江省自然科学基金项目(398240)
关键词
苹果
计算机断层扫描
贮藏期
产地
预测模型
apple
computed tomography
storage time
habitat
prediction model
