摘要
针对不同品种的大豆和花生样品,经溶剂提取,挥干溶剂后,采用傅里叶变换红外光谱仪,分辨率4 cm-1,扫描次数70,扫描范围400-4000 cm-1,经光谱预处理后,提取油脂红外吸收特征信息,将1746 cm-1和2855 cm-1处峰面积比值作为横坐标,1099 cm-1处与1119cm-1处的吸收峰面积比值作为纵坐标,用Excel软件作出二维分析图,考察两种溶剂(无水乙醚和石油醚)提取油脂对红外吸收光谱的影响.结果表明:两种油脂识别效果均较理想,二者相比,红外吸收光谱的识别分析后者优于前者.
The infrared spectra of different soybean oils and peanut oils were scanned using Fourier Transform Infrared Spectra at 400 cm^-1 - 4000 cm^-1, resolution 4.0 cm^-1, the number of scans of 70, 4.0 resolution for discriminant analysis. The two dimension discriminant analysis chart was drew using Excel software by the ratio of area in 1746 cm^-1 and 2855 cm^-1 as the abscissa coordinates vs the ratio of area in 1099 cm^-1 and 1119 cm^-1 as the vertical. The two discriminant results of samples which extracted by aether and petroleum ether was compared. The result shows that peanut oil and soybean oil can be distributed preferably. The analysis result of the sample extracted by petroleum is better than the sample extracted by aether.
出处
《河南工业大学学报(自然科学版)》
CAS
北大核心
2007年第1期6-9,共4页
Journal of Henan University of Technology:Natural Science Edition
基金
国家"十五"科技攻关项目(2004BA523B06-02)
关键词
傅里叶变换红外吸收光谱
大豆油
花生油
识别分析
Fourier Transform Infrared Spectroscopy (FTIR)
soybean oil
peanut oil
discriminant analysis