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Differentiation of essential oils in Atractylodes lancea and Atractylodes koreana by gas chromatography with mass spectrometry
Authors:Qiutao Liu  Shanshan Zhang  Xihui Yang  Ruilin Wang  Weiying Guo  Weijun Kong  Meihua Yang
Institution:1. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China;2. Pharmacy College, Liaoning Medical University, Jinzhou, China;3. Chia Tai Tianqing Pharmaceutical Group Co., Ltd, Nanjing, China;4. PLA Institute of Chinese Materia Medica, 302 Hospital of People's Liberation Army, Beijing, China
Abstract:Atractylodes rhizome is a valuable traditional Chinese medicinal herb that comprises complex several species whose essential oils are the primary pharmacologically active component. Essential oils of Atractylodes lancea and Atractylodes koreana were extracted by hydrodistillation, and the yield was determined. The average yield of essential oil obtained from A. lancea (2.91%) was higher than that from A. koreana (2.42%). The volatile components of the essential oils were then identified by a gas chromatography with mass spectrometry method that demonstrated good precision. The method showed clear differences in the numbers and contents of volatile components between the two species. 41 and 45 volatile components were identified in A. lancea and A. koreana, respectively. Atractylon (48.68%) was the primary volatile component in A. lancea, while eudesma‐4(14)‐en‐11‐ol (11.81%) was major in A. koreana. However, the most significant difference between A. lancea and A. koreana was the major component of atractylon and atractydin. Principal component analysis was utilized to reveal the correlation between volatile components and species, and the analysis was used to successfully discriminate between A. lancea and A. koreana samples. These results suggest that different species of Atractylodes rhizome may yield essential oils that differ significantly in content and composition.
Keywords:Atractylodes rhizome  Essential oils  Multicomponent analysis  Principal component analysis  Traditional Chinese medicine
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