摘要
试验采用一款新型智能电子鼻系统,对3种不同品牌的14个酱油样品进行不同识别模式分析。结果表明:电子鼻传感器对各种酱油的气味有特定的反应,能够有效收集不同品牌酱油的特征数据;运用PCA分析电子鼻检测的数据,可以有效区分不同品牌的酿造酱油;运用DFA建立的3种不同品牌酱油的识别模型,可以正确识别酱油品牌,识别率为100%;运用LDA线性判别分析,可以区分3种不同品牌的酱油。因此,电子鼻结合适当的识别模式可以用于不同品牌酱油的区分和识别。
This test has analyzed 14 samples of three different brands of soy sauce by using different identification patterns of a new intelligent electronic nose. The results show that the electronic nose sensors have a specific reaction to the flavor of all kinds of soy sauce, it can collect the characteristic data of different brands of soy sauce effectively and distinguish different brands of brewed soy sauce effectively by the model based on PCA analysis. A 100% recognition rate is acquired, when the soy sauce of three different brands is detected by the model based on DFA analysis. LDA could successfully distinguish the soy sauce. Therefore, electronic nose combined with proper recognition algorithms is able to differentiate and identify different brands of soy sauce.
出处
《中国调味品》
CAS
北大核心
2016年第2期60-64,68,共6页
China Condiment
关键词
电子鼻
识别模式
不同品牌
酱油
区分
electronic nose
recognition patterns
different brands
soy sauce
separation
