• Acta Photonica Sinica
  • Vol. 44, Issue 9, 930001 (2015)
SHI You-ming1、*, LI Dong-yu1, and YI Shi-lai2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/gzxb20154409.0930001 Cite this Article
    SHI You-ming, LI Dong-yu, YI Shi-lai. Discrimination and Characterization of Nutrient Substance in Corn Pollen Using Fourier Transform Infrared Spectroscopy[J]. Acta Photonica Sinica, 2015, 44(9): 930001 Copy Citation Text show less

    Abstract

    To investigate the protein, polysaccharide and other nutrient substance in corn pollen, Fourier transform infrared spectroscopy combined with curve-fitting analysis was used to investigate two species of hybrid corn pollen, which called Quchen-9 and Jingfeng-3. The Fourier transform infrared spectra of corn pollen presented the characteristic absorption bands of protein and polysaccharide obviously. The peaks at 1 653 cm-1, 1 546 cm-1 and 1 241 cm-1 were assigned to amide-I band, amide-II band and amide-III band respectively, which come from protein of corn pollen. The peaks at 1 078 cm-1, 1 056 cm-1, 1 030 cm-1 and 995 cm-1 were characteristic absorption bands of pollen polysaccharide. Compared with these characteristic absorption bands at the spectra of Quchen 9 and Jingfeng 3, there were obvious differences between the two species of corn pollen. It indicated that the concentration of protein and polysaccharide in corn pollen had difference between the species of Quchen-9 and Jingfeng-3. Fourier self-deconvolution and second derivative of the 1 900~950 cm-1 band was followed by curve-fitting analysis to generate the underlying multi-component peaks. The relative area percentages of multi-component peaks showed that the polysaccharide content in the corn pollen of Quchen-9 was higher than that of the Jingfeng-3. However, the relationship of protein content was reverse. The present results suggest that Fourier transform infrared spectroscopy is a promising method to identify nutrient substance in corn pollen.
    SHI You-ming, LI Dong-yu, YI Shi-lai. Discrimination and Characterization of Nutrient Substance in Corn Pollen Using Fourier Transform Infrared Spectroscopy[J]. Acta Photonica Sinica, 2015, 44(9): 930001
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