食品科学 ›› 2019, Vol. 40 ›› Issue (8): 275-279.doi: 10.7506/spkx1002-6630-20180122-292

• 安全检测 • 上一篇    下一篇

气相离子迁移谱对山茶油掺假的检测

陈 通,陈鑫郁,谷 航,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:2019-04-25 发布日期:2019-05-05
  • 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助项目

Detection of Adulterated Camellia Oil Using Gas Chromatography-Ion Mobility Spectrometry

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

  1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
  • Online:2019-04-25 Published:2019-05-05

摘要: 以掺假山茶油样为气相离子迁移谱(gas chromatography-ion mobility spectrometry,GC-IMS)检测对象,利用多维主成分分析(multi-way principal component analysis,MPCA)法和偏最小二乘(partial least squares,PLS)回归分析处理二维谱图数据,探索并建立一种山茶油纯度检测方法。对配制的不同比例3 种食用植物油的掺假油样进行GC-IMS检测,采用MPCA压缩并提取矩阵中的得分矩阵进行主成分分析,将提取的得分矩阵进行PLS分析,建立掺假量的定量预测模型。结果表明,MPCA处理后的主成分图可以明显区分山茶油样和掺入不同种类食用油的掺假山茶油样,且不同掺入比例组有其明显的归属区域;采用PLS对MPCA的得分矩阵进行回归分析,可实现对山茶油掺假比例的准确定量测定。该方法具有快速、准确、无损的特点,可应用推广到其他联用仪器的数据分析处理中,在食用油品质控制与评价方法中具有很大的应用前景。

关键词: 山茶油, 纯度, 气相离子迁移谱(GC-IMS), 多维主成分分析(MPCA), 偏最小二乘(PLS)

Abstract: This study aimed to establish a new method for quick detection of camellia oil purity. Adulterated camellia oil samples were detected by gas chromatography-ion mobility spectrometry (GC-IMS) and the two-dimensional spectral data obtained were analyzed by multi-way principal component analysis (MPCA) and partial least squares (PLS) regression. Mixtures of camellia oil with three other vegetable oils at different concentrations respectively were analyzed by GC-IMS. MPCA was used to reduce the dimensionality of the data and extract a score matrix from the three-dimensional matrix for principal component analysis (PCA), and quantitative predictive models for adulterated oils were established by PLS analysis of the score matrix. The experimental results showed that pure and adulterated samples were clearly distinguished in the PCA plots with MPCA processing and that each adulteration ratio exhibited an obvious region in the plots. PLS regression analysis of the scores matrix extracted by MPCA enabled accurate quantitative analysis of camellia oil adulteration levels. The presented method proved to be a fast, accurate and non-destructive method for the detection of camellia oil adulteration. This method can also be applied to data analysis in other combined instruments, and has a great potential for applications in the quality control and evaluation of edible oils.

Key words: adulterated camellia oil, purity, gas chromatography-ion mobility spectrometry (GC-IMS), multi-way principal component analysis (MPCA), partial least squares (PLS)

中图分类号: