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Citation: YANG Wei-Mei, LIU Gang, OU Quan-Hong, AN Ran, LI Jian-Mei, FU Zhi-Qiu, SHI You-Ming. Study on Natural Aging Legume Seeds by Infrared Spectroscopy Combined with Curve Fitting[J]. Chinese Journal of Analytical Chemistry, ;2019, 47(12): 2004-2011. doi: 10.19756/j.issn.0253-3820.181610 shu

Study on Natural Aging Legume Seeds by Infrared Spectroscopy Combined with Curve Fitting

1.
School of Physics and Electronic Information, Yunnan Normal University, Yunnan Key Lab of Optoelectronic Information, Kunming 650500, China;
2.
School of Physics and Electronic engineering, Qujing Normal University, Qujing 655011, China

Received Date: 24 September 2018
Revised Date: 16 October 2019

Fund Project: This work was supported by the National Natural Science Foundation of China (No. 31760341) and the Program for Innovative Research Team in Science and Technology in University of Yunnan Province.

Seed aging affects the agricultural production and quality of food. Therefore, it is of great significance to distinguish the aging seed quickly for food security. In this work, Fourier transform infrared (FTIR) spectroscopy combined with curve-fitting analysis and hierarchical cluster analysis (HCA) was used to identify the legume seeds of different aging time. The results showed that the infrared spectroscopy of legume seeds were mainly composed of the absorption peaks of proteins and carbohydrates. The overall characteristics of the original spectra of seeds in different aging time were similar, but the absorption ratios of several peaks decreased with the increasing aging time. Amide I band (1700-1600 cm^-1) and carbohydrate absorption band (1180-980 cm^-1) in the original spectra were carried out for curve fitting. The results showed that the sub-bands position and area ratios of different aging seeds were obviously different. There were significant differences in beta-folding, disordered structure, alpha-helix and beta-corner components in the secondary structure of proteins and CO, CC and COH components in polysaccharides during aging. Hierarchical cluster analysis was performed using second derivative spectra in the range of 1800-800 cm^-1, and the accuracy of clustering reached 100%. The results showed that FTIR combined with curve-fitting analysis and HCA could identify the natural aging legume seeds quickly and effectively.
- Legume seeds,
- Natural aging,
- Infrared spectroscopy,
- Curve-fitting,
- Hierarchical cluster analysis
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