食品科学 ›› 2019, Vol. 40 ›› Issue (18): 312-316.doi: 10.7506/spkx1002-6630-20181012-102

• 安全检测 • 上一篇    下一篇

基于气相离子迁移谱对葵花籽油精炼程度的检测

陈通,谷航,陈明杰,陆道礼,陈斌   

  1. (江苏大学食品与生物工程学院,江苏?镇江 212013)
  • 出版日期:2019-09-25 发布日期:2019-09-23
  • 基金资助:
    国家自然科学基金面上项目(31772056);江苏高校优势学科建设工程资质项目

Measurement of the Refining Degree of Sunflower Oil Based on Gas Chromatography-Ion Mobility Spectrometry

CHEN Tong, GU Hang, CHEN Mingjie, LU Daoli, CHEN Bin   

  1. (School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China)
  • Online:2019-09-25 Published:2019-09-23

摘要: 运用气相离子迁移谱(gas chromatography-ion mobility spectrometry,GC-IMS)对不同精炼程度的葵花籽油的挥发性有机成分进行分析,构建葵花籽油精炼程度的指纹图谱,并对葵花籽油的精炼程度进行判别和分类。采用二维差谱方法筛选出22?个有效特征峰作为表征精炼程度差异的变量,采用主成分分析和有监督模式识别方法(K最近邻、二次线性判别分析、Fisher线性判别分析)进行模式识别。结果表明,3?种有监督模式识别方法均可以有效地区分不同精炼程度的葵花籽油样,识别率高达97.30%。使用GC-IMS技术结合化学计量学方法能够准确直观地区分不同精炼程度的葵花籽油样品,便于企业对植物油进行质量控制,同时为质检技术人员提供了一种新的检测方法。

关键词: 葵花籽油, 挥发性成分, 精炼程度, 气相离子迁移谱

Abstract: In this study, we analyzed the volatile organic components of sunflower oils with different degrees of refining by using gas chromatography-ion mobility spectrometry (GC-IMS) and we constructed fingerprints. Our aim was to discriminate and classify the sunflower oils based on refining degree. A total of 22 effective characteristic peaks were selected by two-dimensional differential spectrometry as variables to characterize the changes in refining degree. Principal component analysis (PCA) and supervised pattern recognition methods such as the k-nearest neighbor (kNN) method, quadratic discriminant analysis (QDA), and Fisher linear discriminant analysis (FLDA) were used to carry out discriminant analysis. The results showed that all three supervised pattern recognition methods could effectively distinguish the sunflower oil samples with an accuracy rate of up to 97.30%. GC-IMS combined with chemometrics could accurately and visually distinguish sunflower oil samples with different refining degrees. This method facilitates the quality control of vegetable oils in enterprises and provides a new detection method for quality inspection technicians.

Key words: sunflower oil, volatile organic compounds, refining degree, gas chromatography-ion mobility spectrometry

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