摘要
本文研究了1种基于仿生嗅觉系统的苹果储存时间预测模型。使用该系统检测了不同存放时间的苹果样品,以主成分分析方法实现了不同储存时间苹果样品的部分区分。测量了不同存放时间苹果样品的菌落总数,并讨论该参数对于苹果样品储存时间分析结果的影响。采用随机共振计算检测样品的互相关系数极值,该参数可以完全区分所有苹果样品。以该参数构建苹果储存时间预测模型,验证结果表明该模型预测误差低于10%。该方法具有检测快速,易操作,准确度高以及可重复性好的优点。
Apple storage time predictive model using bionic olfactory system is proposed here. Bionic olfactory system responses to apple samples of different storage time are recorded. Principal component analysis partially discriminates apples of different storage time. Total viable count of apple samples is also measured. The influence of total viable count on responses of bionic olfactory system has been discussed. The cross-correlation coefficient maximum values class all samples more clearly. The predicting model has been developed and its predicting error of this model is less than 10%. This method presents the advantages including fast detection, easy operation, high accuracy and good repeatability.
出处
《中国食品学报》
EI
CAS
CSCD
北大核心
2013年第3期196-201,共6页
Journal of Chinese Institute Of Food Science and Technology
基金
浙江省公益技术应用研究项目(2011C21051)
国家自然科学基金项目(81000645)
浙江省自然科学基金项目(Y1100150)
浙江省大学生科技创新活动计划项目(2010R408015
2012R408041)
关键词
仿生嗅觉系统
苹果贮存期预测
主成分分析
随机共振
互相关系数
bionic olfactory system
apple storage time prediction
principle component analysis
stochastic reso nance
cross-correlation coefficient
