SUN Ya-juan, WANG Jin-ying, CHEN Xuan, JIN Chao, ZHONG Hai-yan, ZHOU Bo. Detection method research of adulteration of apricot kernel oil based on fingerprint of volatile components[J]. Science and Technology of Food Industry, 2017, (01): 296-299. DOI: 10.13386/j.issn1002-0306.2017.01.051
Citation: SUN Ya-juan, WANG Jin-ying, CHEN Xuan, JIN Chao, ZHONG Hai-yan, ZHOU Bo. Detection method research of adulteration of apricot kernel oil based on fingerprint of volatile components[J]. Science and Technology of Food Industry, 2017, (01): 296-299. DOI: 10.13386/j.issn1002-0306.2017.01.051

Detection method research of adulteration of apricot kernel oil based on fingerprint of volatile components

  • To build a fingerprint based on volatile component of apricot kernel oil,we used the headspace solid phase microextraction( SPME) and GC method to determinate the volatile components of 17 kinds of different apricot kernel oil,and the fingerprint similarity was calculated by vector included angle cosine method.The results showed that the apricot kernel oil fingerprint of volatile component consisted of 12 common chromatographic peaks,and the fingerprint was of good repeatability and strong specificity according to the similarity and cluster analysis.Based on the method,we built the adulteration model for rapeseed oil,apricot kernel oil which was that: Y =-2947.0X~3+ 1254.9X~2+77.661 X + 46.693( Y for rapeseed oil adulteration ratio(%),X for cosθ),and this model could be applied to the identification of more than 15% of the amount of adulteration apricot kernel oil.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return