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不同产地黑木耳的傅里叶变换红外光谱鉴别
引用本文:时有明,刘刚,刘剑虹,宋鼎珊.不同产地黑木耳的傅里叶变换红外光谱鉴别[J].光学学报,2007,27(1):129-132.
作者姓名:时有明  刘刚  刘剑虹  宋鼎珊
作者单位:1. 云南师范大学物理系,昆明,650092
2. 云南师范大学分析测试中心,昆明,650092
3. 昆明食用菌研究所,昆明,650223
基金项目:国家自然科学基金(30360068)资助课题
摘    要:利用傅里叶变换红外光谱法研究了五种不同产地的黑木耳。结果显示,它们的红外光谱主要由蛋白质、脂类化合物及多糖的振动吸收谱带组成。五个样品的傅里叶变红外光谱整体上十分相似,因此分别选取1750~1500cm-1和1200~1000cm-1范围内的傅里叶变换红外光谱进行相关性分析。结果显示,不同产地的黑木耳在1750~1500cm-1范围内相关性较好,光谱的相关系数分布在0.895~0.994。五个样品在1200~1000cm-1范围内的相关系数分布在0.441~0.981,东北地区产的黑木耳与西南地区产的黑木耳的光谱图有明显区别。利用1200~1000cm-1范围内的差异并结合其它吸收峰的特征可鉴别出不同产地的黑木耳。研究结果表明傅里叶变换红外光谱在鉴别菌类方面具有方便、快速等优点。

关 键 词:医用光学与生物技术  红外光谱学  黑木耳  鉴别  相关分析
文章编号:0253-2239(2007)01-0129-4
收稿时间:2006/4/27
修稿时间:2006-04-27

Identification of Auricularia Auricula from Different Regions by Fourier Transform Infrared Spectroscopy
Shi Youming,Liu Gang,Liu Jianhong,Song Dingshan.Identification of Auricularia Auricula from Different Regions by Fourier Transform Infrared Spectroscopy[J].Acta Optica Sinica,2007,27(1):129-132.
Authors:Shi Youming  Liu Gang  Liu Jianhong  Song Dingshan
Institution:1. Department of Physics, Yunnan Normal University, Kunming 650092;2. Center of Analysis and Testing, Yunnan Normal University, Kunming 650092 ;3Kunming Institute of Edible Fungi, Kunming 650223
Abstract:Fourier transform infrared spectroscopy (FTIR) was used to identify five kinds of Auricularia auricula from different regions. The results show the infrared spectrum of Auricularia auricula is mainly composed of the absorption of protein, aliphatic compound and polysaccharide. The spectra of five samples are very similar. Two regions of 1750~1500 cm-1 and 1200~1000 cm-1 in infrared absorption spectra were selected for evaluating the correlation coefficients. The correlation coefficients of five samples between 1750 cm-1 and 1500 cm-1 are located from 0.895 to 0.994, which indicates the spectra have good correlation. The correlation coefficients are located from 0.441 to 0.981 between 1200 cm-1 and 1000 cm-1. There are obvious differences about the spectra among the mushrooms in the northeast and southwest. The differences in the range 1200~1000 cm-1 and other characteristics of absorption peaks might be used to identify Auricularia auricula from different regions. It is proved that mushrooms can be identified rapidly and conveniently by Fourier transform infrared spectroscopy.
Keywords:medical optics and biotechnology  infrared spectroscopy  Auricularia auricula  identification  correlation analysis
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