Study on the Identification of Six Kinds of Bee Pollens by Three-Step Infrared Macro-Fingerprint Method
文献类型: 外文期刊
第一作者: Zhou Qun
作者: Zhou Qun;Sun Su-qin;Wu Jie;Wu Li-ming;An Jian-dong;Wu Jie
作者机构:
关键词: Bee pollen;IR spectra;2D-IR correlation spectra;Identification
期刊名称:SPECTROSCOPY AND SPECTRAL ANALYSIS ( 影响因子:0.589; 五年影响因子:0.504 )
ISSN: 1000-0593
年卷期: 2010 年 30 卷 2 期
页码:
收录情况: SCI
摘要: Six kinds of bee pollens, including apricot pollen, lotus pollen, rape pollen, camellia pollen, watermelon pollen and corn poppy pollen, were identified non-destructively by Fourier transform infrared spectroscopy (FTIR) combined with derivative spectra and two-dimensional correlation spectroscopy (2D) in the present article. Compared with conventional IR spectra of samples, some certain differences were found in the characteristic peaks of proteins, lipids and carbohydrates. Obvious differences of the six kinds of bee pollens were found in the second derivative spectra. And in the 2D-IR correlation spectra, the samples presented the differences in the position and intensity of the autopeaks and correlation peak clusters. Therefore, the three-step IR macro-fingerprint provides a more rapid and effective method for the identification of different kinds of bee pollens.
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