Determination of Geographical Location ofGastrodia ElataUsing NIR

VernacularTitle:基于近红外光谱技术天麻的产地区分
Author: Feiyan LI ; Manfei XU ; Yanjiang QIAO
Publication Type:Journal Article
Keywords: Gastrodia elata; geographical location; wild; near-infrared spectroscopy; multiclass classifier
From: World Science and Technology-Modernization of Traditional Chinese Medicine 2015;(7):1405-1408
CountryChina
Language:Chinese
Abstract: Gastrodia elatais graded as top medication in theShen Nong’s Herbal Classic. It was mainly distributed in southwest China. Its quality varied with geographical location. And the quality difference between wild and cultivated sample was extreme. Identifications using traditional methods were unable to accurately distinguish the quality ofG. elata. Therefore, near-infrared (NIR) spectroscopy combined with pattern recognition method was used to distinguish the quality ofG. elata from different geographical locations as well as cultivated or wild. The results demonstrated that using NIR spectroscopy combined with multiclass classification algorithm, the geographical location ofG. elata can be accurately distinguished. The prediction accuracy can reach as high as 94.3% and 96.4% for both applications. Besides, the classification model was built without preprocessing; hence, it can be extended to be applied on-site.