食品科学 ›› 2017, Vol. 38 ›› Issue (20): 222-228.doi: 10.7506/spkx1002-6630-201720032

• 安全检测 • 上一篇    下一篇

电子鼻结合气相色谱-质谱法对宁夏小尾寒羊肉中鸭肉掺假的快速检测

王綪,李璐,王佳奕,张娟,王远一飞,丁武   

  1. (西北农林科技大学食品科学与工程学院,陕西?杨凌 712100)
  • 出版日期:2017-10-25 发布日期:2017-09-29
  • 基金资助:
    “十三五”国家重点研发计划重点专项(2016YFD0401500)

Rapid Detection of Ningxia Small-Tailed Han Sheep Meat Adulterated with Duck by Electronic Nose Combined with GC-MS

WANG Qian, LI Lu, WANG Jiayi, ZHANG Juan, WANG Yuanyifei, DING Wu   

  1. (College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China)
  • Online:2017-10-25 Published:2017-09-29

摘要: 以宁夏小尾寒羊为研究对象,将熟化的鸭肉按照不同比例掺入到羊肉中制作成掺假肉样,利用电子鼻和气相色谱-质谱法对肉样进行快速检测。通过电子鼻对肉样挥发性成分的响应,利用Fisher线性判别分析,线性回归拟合分析等进行定性定量判别和模型的建立。同时利用固相微萃取结合气相色谱-质谱联用仪对样品进行检测。结果表明,Fisher线性判别分析能区分不同样品,线性回归拟合分析相关系数高达0.965,利用Fisher线性判别分析预测掺假正确率为98.2%。气相色谱-质谱法共检测到26?种挥发性化合物,3-环庚烯-1-酮、3-甲基丁醛等被认为在区分不同样品中起重要作用。利用电子鼻和气相色谱-质谱法数据建立偏最小二乘模型回归方程的决定系数均高于0.950。得到传感器S1、S3、S5、S6、S8和S9的响应值与气相色谱-质谱结果具有较高的相关性。

关键词: 羊肉, 鸭肉, 电子鼻, 气相色谱-质谱法, 多元分析方法

Abstract: A rapid method to detect mutton adulterated with duck by electronic nose combined with gas chromatgraphy-mass spectrometry (GC-MS) was proposed and validated by applying it on adulterated samples of Ningxia small-tailed han sheep meat with different amounts of cooked meat added. The electronic nose responses to the volatile components of meat samples were used to establish qalitative and quantitative models through Fisher linear discriminant analysis (FLDA) and linear regression analysis. Meanwhile, solid phase microextraction coupled with GC-MS was used to detect the volatile compounds. The results showed that different proportions of adulteration could be distinguished by FLDA with an accuracy rate of 98.2%. The correlation coefficient from linear regression analysis was as high as 0.965. A total of 26 volatile compounds were detected by GC-MS, including 3-cyclohepten-1-one and 3-methyl butyraldehyde, which played a significant role in the discrimination of different adulterated samples. The partial least squares regression models established based on the electronic nose and GC-MS data exhibited a determination coefficient of greater than 0.950. There was a high correlation between the response values of sensors S1, S3, S5, S6, S8 and S9 and the GC-MS data.

Key words: mutton, duck, electronic nose, gas chromatography-mass spectrometry (GC-MS), multivariate analysis method

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