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Evidence-Based Supplement Research
Evidence-Based Supplement Research

Study Design

Methods
Targeted and non-targeted metabolomics; FT-NIR spectroscopy with DD-SIMCA model
Gastrodia elata (GE)is a traditional rare medicinal herb. Its geographical indication products attract much market attention due to their excellent quality and cultural connotations. This study used targeted and non-targeted metabolomics techniques. It compared differences in aroma components, polyphenols, and monosaccharide composition between Gastrodia elata f. glauca (G. elata f. glauca) and Gastrodia elata f. viridis (G. elata f. viridis) from Yunnan and Guizhou. The analysis showed that the two types of GE differed significantly in their chemical composition, G. elata f. glauca has higher overall chemical diversity and content, especially in volatile components and polyphenols. However, in terms of monosaccharides, G. elata f. viridis from Yunnan has the highest glucose content. Moreover, gastrodin and parishin concentrations are notably higher in the Yunnan G. elata f. glauca compared to its Guizhou. Based on fourier transform near-infrared (FT-NIR) spectroscopy and the data-driven soft independent modeling of class analogy (DD-SIMCA) model, the origin traceability of Yunnan G. elata f. glauca was achieved, with the model achieving 100% recognition accuracy in the entire sample set. The study elucidated the correlation between the chemical characteristics of GE and its geographical origin and varieties, providing theoretical support for the quality assessment, origin traceability, and resource utilization of GE and other medicinal and edible substances.

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