摘要
该文旨在通过气味检测鸡蛋的新鲜度。利用德国AIRSENSE公司PEN3型电子鼻对鸡蛋在20℃,70%相对湿度条件下罗曼鸡蛋货架期的气味进行了无损检测。通过测定哈夫单位,建立了不同货架期气味与鸡蛋哈夫单位等级的对应关系。首先,分析并对比了第0天与第36天的完整鸡蛋与蛋液所产生气体的变化情况,确定氨氧化物、烷烃和醇类等是鸡蛋贮藏中产生的恶化气体。其次,结合电子鼻,利用主成分分析、线性判别等多元统计方法进行数据分析,对不同货架期、不同等级的鸡蛋进行归类区分,发现线性判别(LDA)效果优于主成分分析法(PCA)。结合载荷分析,确认了检测鸡蛋新鲜度的主要传感器S1、S2、S3、S5、S6、S8。初步证明了气体传感器和模式识别方法在电子鼻区分鸡蛋货架期新鲜度的可行性,为建立利用气体传感器监控鸡蛋新鲜度的方法提供实验基础和理论依据。
In order to explore the feasibility of determining egg freshness by their generated deteriorate volatile,a PEN3 electronic nose（E-nose）was used to detect the quality of‘Roma＇hen eggs through their shelf-life at 20℃,70% RH in this study. The corresponding relationship between the shelf-life and grade of eggs was determined by Haugh unit.Firstly,the values of sensor response of the 0 and 36 days of egg liquid and whole egg were compared.The alkanes,ammonium,alcohol were the main deteriorate volatile which changed during the storage.Then the sample response signals were analyzed by principal components analysis（PCA）and linear discrimination analysis（LDA）to discriminate the different freshness during shelf-life,and the latter method proved better results than the former one.A further study of loading analysis and multiple linear regression selected the S1, S2,S3,S5,S6,S8 sensors of the E-nose in the research.The results indicated that it was possible to discrimination of different shelf-life and quality of eggs by E-nose,and provided theoretical and experimental basis for monitoring the freshness of eggs.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2010年第4期317-321,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
科技部863计划(2007AA10Z213)
江苏省农业攻关项目(BE2007320)
校青年科技创新基金(Y200827)
关键词
无损检测
主成分分析
载荷
电子鼻
鸡蛋
新鲜度
线性判别分析
nondestructive examination
principal component analysis（PCA）
loading
electronic nose
egg
freshness
linear discrimination analysis（LDA）
