农业工程学报
農業工程學報
농업공정학보
2015年
z1期
325-331
,共7页
裴高璞%史波林%赵镭%高海燕%尹京苑%汪厚银%支瑞聪
裴高璞%史波林%趙鐳%高海燕%尹京苑%汪厚銀%支瑞聰
배고박%사파림%조뢰%고해연%윤경원%왕후은%지서총
特征提取%主成分分析%品质控制%蜂蜜%掺假%电子鼻
特徵提取%主成分分析%品質控製%蜂蜜%摻假%電子鼻
특정제취%주성분분석%품질공제%봉밀%참가%전자비
feature extraction%principal component analysis%quality control%honey%adulteration%electronic nose
为建立蜂蜜掺假快速检测方法,该文利用电子鼻并结合主成分分析(principal component analysis,PCA)数据处理方法研究了掺入10%、20%、30%、40%、50%、60%、70%油菜蜜和大米糖浆的掺假蜂蜜的电子鼻信息变化特征,并以掺假蜂蜜的电子鼻信息变化特征为指导,结合判别因子分析(linear discriminant analysis,LDA)模式识别算法研究了电子鼻对掺假蜂蜜的定性识别分析能力。结果表明,掺假蜂蜜的电子鼻信息呈现线性变化,并且电子鼻对掺假蜂蜜有较强的敏感力。LDA 模式识别算法可以将纯蜂蜜样品与掺假蜂蜜样品很好的区分开, LDA掺假判别模型正确识别率为94.7%,该技术可以为蜂蜜掺假鉴别提供技术支撑。
為建立蜂蜜摻假快速檢測方法,該文利用電子鼻併結閤主成分分析(principal component analysis,PCA)數據處理方法研究瞭摻入10%、20%、30%、40%、50%、60%、70%油菜蜜和大米糖漿的摻假蜂蜜的電子鼻信息變化特徵,併以摻假蜂蜜的電子鼻信息變化特徵為指導,結閤判彆因子分析(linear discriminant analysis,LDA)模式識彆算法研究瞭電子鼻對摻假蜂蜜的定性識彆分析能力。結果錶明,摻假蜂蜜的電子鼻信息呈現線性變化,併且電子鼻對摻假蜂蜜有較彊的敏感力。LDA 模式識彆算法可以將純蜂蜜樣品與摻假蜂蜜樣品很好的區分開, LDA摻假判彆模型正確識彆率為94.7%,該技術可以為蜂蜜摻假鑒彆提供技術支撐。
위건립봉밀참가쾌속검측방법,해문이용전자비병결합주성분분석(principal component analysis,PCA)수거처리방법연구료참입10%、20%、30%、40%、50%、60%、70%유채밀화대미당장적참가봉밀적전자비신식변화특정,병이참가봉밀적전자비신식변화특정위지도,결합판별인자분석(linear discriminant analysis,LDA)모식식별산법연구료전자비대참가봉밀적정성식별분석능력。결과표명,참가봉밀적전자비신식정현선성변화,병차전자비대참가봉밀유교강적민감력。LDA 모식식별산법가이장순봉밀양품여참가봉밀양품흔호적구분개, LDA참가판별모형정학식별솔위94.7%,해기술가이위봉밀참가감별제공기술지탱。
To establish a method for rapid detection of honey adulteration,in this paper, Acacia honey, Jing nectar, Date honey of market liquidity greatly and rape honey, rice syrup of typical adulterated substances were studied, the electronic nose (e-nose) information of natural honey and adulterated honey that was made by incorporation 10%, 20%, 30%, 40%, 50%, 60%, 70%rape honey and rice syrup were collected by FOX4000 e-nose. The data processing method of principal component analysis (PCA) was employed to study information variation characteristics of the electronic nose of natural honey and adulterated honey, and the minimum amount added that adulterated substances cause honey aroma system changes. On the basis of information variation characteristics of the electronic nose was as the guidance, the pattern recognition algorithm of Linear Discriminant Analysis (LDA) was employed to study the ability of qualitative recognition of electronic nose for adulterated honey. The results showed that there was a linear relationship between e-nose signals and the level of adulteration. Adulterated honey samples array from right to left with the increase in the content of adulteration in the direction of the principal component 1, adulterated samples of incorporation rape honey and rice syrup both located on the left side of pure acacia honey and arrayed from right to left in the direction of the principal component 1. The linear relationship of adulterated information was not affected by nectar, and the adulterated samples of date honey, Jing nectar, acacia honey had the same regular pattern, and the linear relationship of adulterated information had universality in honey. The minimum amount to be added of rape honey and rice syrup as adulterated substances that can cause honey aroma system changes were 2% and 1%, respectively. Honey aroma system can easily be changed by added substances. This showed that the electronic nose had a strong discriminable ability for honey adulteration. The linear discriminant analysis linear that was pattern recognition algorithm was employed to distinguish honey adulteration. The results showed that pure honey and adulterated honey can be distinguished by LDA pattern recognition algorithms, and the accuracy of discriminant model was 94.7%, and this achieved the rapid identification for honey adulteration. The pure honey and adulterated honey can be well distinguished, and was far away each other, this show the difference between pure honey and adulterated honey can be discovered by Linear Discriminant Analysis (LDA). The method of electronic nose combined with LDA pattern recognition algorithm provided a reference for the identification of fast and accurate of honey adulteration. The study may provide an identification method of effective and rapid for honey adulteration, and had great significance to ensure the healthy development of honey industry.