基于傅里叶变换中红外光谱识别正常食用植物油和精炼潲水油模型分析

doi:10.7506/spkx1002-6630-201406025

食品科学 ›› 2014, Vol. 35 ›› Issue (6): 121-124.doi: 10.7506/spkx1002-6630-201406025

基于傅里叶变换中红外光谱识别正常食用植物油和精炼潲水油模型分析

李红1,2，赵博1,2，冉晓鸿1，屠大伟1,2,*，陈世奇1,2

1.重庆市计量质量检测研究院，重庆市食品安全工程技术中心，国家农副加工产品及调味品质量监督检验中心，
重庆 401123；2.重庆市食品药品检验所，重庆 401121

收稿日期:2013-06-17 修回日期:2014-03-07 出版日期:2014-03-25 发布日期:2014-04-04
通讯作者: 屠大伟 E-mail:weidatufu@163.com
基金资助:
重庆市自然科学基金项目（cstc2012jjA00022）

Discrimination of Refined Hogwash Oils from Edible Vegetable Oils by FT-MIR Spectroscopy

LI Hong1,2, ZHAO Bo1,2, RAN Xiao-hong1, TU Da-wei1,2,*, CHEN Shi-qi1,2

1. Chongqing Engineering Research Center of Food Safety, National Quality Supervision & Inspection Center for Processed
Agricultural Products and Condiments, Chongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China;
2. Chongqing Institute for Food and Drug Control, Chongqing 401121, China

Received:2013-06-17 Revised:2014-03-07 Online:2014-03-25 Published:2014-04-04
Contact: TU Da-wei E-mail:weidatufu@163.com

摘要/Abstract

摘要：

潲水油回流餐桌等食品安全问题越来越受到社会关注，探寻准确、快速、高效的潲水油鉴别新方法成为食用油安全性检测的新要求。用傅里叶变换中红外光谱技术（Fourier transform mid-infrared spectroscopy，FT-MIR）对精炼潲水油（refining hogwash oils，RHOs）和4 种不同正常食用植物油（菜籽油、大豆油、花生油和玉米油）进行快速检测，结合偏最小二乘判别法（PLS-DA）建立了RHOs和4 种不同正常食用植物油的判别模型。结果表明，在全光谱范围（4 000～450 cm–1）内，经二阶求导（Savitzky-Golay，5 点）后，RHOs和4 种不同正常食用植物油FT-MIR有显著差异。PLS-DA模型对22 个未知样品预测发现，判别模型的整体正确判别率均为100%。此结果表明FT-MIR结合化学计量学方法可以作为RHOs和4 种不同正常食用植物油（菜籽油、大豆油、花生油和玉米油）区分的一种有效技术手段。

关键词: 精炼潲水油, 正常食用植物油, 傅里叶变换中红外光谱, 偏最小二乘判别法, 模型

Abstract:

In this study, Fourier transform-infrared spectroscopy (FT-MIR）was applied to rapidly distinguish refined
hogwash oils (RHOs) from four different edible vegetable oils, rapeseed oil, soybean oil, peanut oil and corn oil. A
multivariate statistical procedure based on cluster analysis (CA) coupled to partial least squares-discriminant analysis (PSLDA),
was elaborated, providing an effective classification method. It was shown that there were significant differences
between RHOs and different edible vegetable oils based on FT-MIR spectra after second derivative (Savitzky-Golay,
5 point) transformation in the whole wavelength range (4 000–450 cm–1). The PLS-DA procedure was then applied to
classify twenty-two unknown oil samples with a correction rate of 100%. These results demonstrate that FT-MIR combined with
chemometric analysis can be used as an effective method to discriminate RHOs from these four different edible vegetable oils.

Key words: refined hogwash oils, edible vegetable oils, FT-MIR, PLS-DA, model

中图分类号:

TS201.6

李红1,2，赵博1,2，冉晓鸿1，屠大伟1,2,*，陈世奇1,2. 基于傅里叶变换中红外光谱识别正常食用植物油和精炼潲水油模型分析[J]. 食品科学, 2014, 35(6): 121-124.

LI Hong1,2, ZHAO Bo1,2, RAN Xiao-hong1, TU Da-wei1,2,*, CHEN Shi-qi1,2. Discrimination of Refined Hogwash Oils from Edible Vegetable Oils by FT-MIR Spectroscopy[J]. FOOD SCIENCE, 2014, 35(6): 121-124.

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基于傅里叶变换中红外光谱识别正常食用植物油和精炼潲水油模型分析

Discrimination of Refined Hogwash Oils from Edible Vegetable Oils by FT-MIR Spectroscopy

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