Identification and evaluation of Polygonatum kingianum with different growth ages based on data fusion strategy
文献类型： 外文期刊
作者： Zhang, Jiao 1 ; Wang, Yuan Zhong 2 ; Yang, Mei Quan 2 ; Yang, Wei Ze 2 ; Yang, Shao Bing 2 ; Zhang, Jin Yu 2 ;
作者机构： 1.Yunnan Univ Chinese Med, Coll Chinese Med, Kunming 650500, Yunnan, Peoples R China
2.Yunnan Acad Agr Sci, Med Plants Res Inst, 2238 Beijing Rd, Kunming 650200, Yunnan, Peoples R China
关键词： Polygonatum kingianum; Growth ages; Polysaccharide; Partial least squares discriminant analysis; Feature variable extraction; Data fusion
期刊名称：MICROCHEMICAL JOURNAL （ 影响因子：4.821； 五年影响因子：4.364 ）
ISSN： 0026-265X
年卷期： 2021 年 160 卷
页码：
收录情况： SCI
摘要： Polysaccharide, the main component of Polygonatum kingianum, has been proven to have many pharmacological effects, such as antioxidant, anti-aging and anti-bacteria. The accumulation of polysaccharides was greatly influenced by the growth age of P. kingianum. Therefore, a fast and low-cost chemometric method is needed to identify the growth age. Attenuated total reflection-Fourier transform infrared (ATR-FTIR) and ultraviolet visible (UV-Vis) spectroscopy of P. kingianum with four growth ages (80 samples) were collected and analyzed by chemometric methods. The correlation between 13 agronomic traits and polysaccharide accumulation was discussed. A data fusion strategy was used to identify the growth age of P. kingianum by extracting the latent variables (LVs) and principal components (PCs) of the spectra. The results founded that the polysaccharide content showed a negative correlation the fibrous root number, leaf length, leaf width, stem diameter and fresh weight on the ground part. The ATR-FTIR and UV-Vis spectra in P. kingianum with different growth ages were similar. The regions of 1750-1500 cm(-1), 1000-750 cm(-1) and 200-250 nm, 330-360 nm are important variables for discriminating four growth ages of P. kingianum. The classification effect of data fusion models was better than that of single spectra models with 100% accuracy as well as perfect sensitivity and specificity. Hierarchical cluster analysis shown that the samples were divided into two categories: one 5-year-old and the other 2, 3 and 4-year-old. In summary, the polysaccharide content in 4-year-old P. kingianum by seed reproduction was the highest. Data fusion of ATR-FTIR and UV-Vis spectra combined with PLS-DA models could be used to accurately distinguish P. kingianum in different growth ages, which was valuable for the identification and evaluation of other medicinal and edible homologous plants. Meanwhile, it also provides a theoretical basis for the harvesting age and cultivation conditions of P. kingianum.
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