Geographic Authentication of Eucommia ulmoides Leaves Using Multivariate Analysis and Preliminary Study on the Compositional Response to Environment
文献类型： 外文期刊
作者： Wang, Chao-Yong 1 ; Tang, Li 1 ; Li, Li 1 ; Zhou, Qiang 1 ; Li, You-Ji 1 ; Li, Jing 1 ; Wang, Yuan-Zhong 1 ;
作者机构： 1.Jishou Univ, Natl & Local United Engn Lab Integrat Utilizat Te, Jishou, Peoples R China
2.Jishou Univ, Coll Biol Resources & Environm Sci, Jishou, Peoples R China
3.Hunan Appl Technol Univ, Coll A&F Sci & Technol, Changde, Peoples R China
4.Jishou Univ, Coll Chem & Chem Engn, Jishou, Peoples R China
5.Yunnan Acad Agr Sci, Inst Med Plants, Kunming, Yunnan, Peoples R China
关键词： Eucommia ulmoides leaves; Fourier Transform Near-Infrared; Attenuated Total Reflection Fourier Transform Mid-Infrared; chemometrics; environment
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.753； 五年影响因子：6.612 ）
ISSN： 1664-462X
年卷期： 2020 年 11 卷
页码：
收录情况： SCI
摘要： To explore the influences of different cultivated areas on the chemical profiles of Eucommia ulmoides leaves (EUL) and rapidly authenticate its geographical origins, 187 samples from 13 provinces in China were systematically investigated using three data fusion strategies (low, mid, and high level) combined with two discrimination model algorithms (partial least squares discrimination analysis; random forest, RF). RF models constructed by high-level data fusion with different modes of different spectral data (Fourier transform near-infrared spectrum and attenuated total reflection Fourier transform mid-infrared spectrum) were most suitable for identifying EULs from different geographical origins. The accuracy rates of calibration and validation set were 92.86% and 93.44%, respectively. In addition, climate parameters were systematically investigated the cluster difference in our study. Some interesting and novel information could be found from the clustering tree diagram of hierarchical cluster analysis. The Xinjiang Autonomous Region (Region 5) located in the high latitude area was the only region in the middle temperate zone of all sample collection areas in which the samples belonged to an individual class no matter their distance in the tree diagram. The samples were from a relatively high elevation in the Shennongjia Forest District in Hubei Province (>1200 m), which is the main difference from the samples from Xiangyang City (78 m). Thus, the sample clusters from region 9 are different from the sample clusters from other regions. The results would provide a reference for further research to those samples from the special cluster.
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