气相离子迁移谱对山茶油掺假的检测研究

摘要/Abstract

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法（Multi-way Principal Component Analysis, MPCA）和偏最小二乘法（Partial Least Squares Regression, PLSR）分析处理二维谱图数据，探索并建立一种山茶油纯度检测新方法。对配置的不同比例的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）, 偏最小二乘法（PLS）

Abstract: In order to establish a new method for quick detection of camellia oil purity, the adulterated camellia oil samples were analyzed by gas chromatography-ion mobility spectrometry (GC-IMS) combining a multi-way principal component analysis (MPCA) with partial least squares regression (PLS). Three kinds of edible vegetable oils were mixed with different levels and analyzed by GC-IMS, MPCA method was used to reduce dimension by extracting score matrix of three-dimensional matrix and to further principal component analysis, and PLS model for different kinds of adulterated camellia oil purity prediction was established by using score matrix extracted from GC-IMS data set. The experimental results showed that MPCA can distinguish pure camellia oil and different kinds of adulterated camellia oil, and different adulterated ratios had its obvious regions. The scores matrix extracted by MPCA and actual adulteration value were adopted for the quantitative analysis of camellia oil adulteration level by PLS. Therefore, the combination of GC-IMS technology and chemometrics could provide a fast, accurate and non-destructive detection of camellia oil adulteration. This method can be applied to the data analysis of other combined instruments, and has a great potential for practical application 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:

陈通陈鑫郁谷航陆道礼陈斌. 气相离子迁移谱对山茶油掺假的检测研究[J]. 食品科学, 0, (): 0-0.

Tong CHEN. Detection of Adulteration in Camellia Oil Using Gas Chromatography-Ion Mobility Spectrometry[J]. FOOD SCIENCE, 0, (): 0-0.

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