Identification of geographical origins of Gastrodia elata Blume based on multisource data fusion.

Journal: Phytochemical analysis : PCA

PMID: 38937551

Abstract

INTRODUCTION: Identifying the geographical origin of Gastrodia elata Blume contributes to the scientific and rational utilization of medicinal materials. In this study, infrared spectroscopy was combined with machine learning algorithms to distinguish the origin of G. elata BI.

Authors

Hong Liu

Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
Honggao Liu

College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, PR China.
Jieqing Li

College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, PR China. Electronic address: lijieqing2008@126.com.
Yuanzhong Wang

Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China; Yunnan Technical Center for Quality of Chinese Materia Medica, Kunming 650200, China.

Keywords

Algorithms Discriminant Analysis Gastrodia Geography Least-Squares Analysis Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Spectroscopy, Near-Infrared Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (38937551)

Identification of geographical origins of Gastrodia elata Blume based on multisource data fusion.

Abstract

Authors

Keywords

External Resources

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