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Analysis and identification of volatile components of different parts of Clausena lansium in Hainan by HS-SPME-GC-MS / 中草药
Chinese Traditional and Herbal Drugs ; (24): 4241-4249, 2018.
Article in Chinese | WPRIM | ID: wpr-851684
ABSTRACT
Objective A headspace-solid phase microextraction-gas chromatography-mass spectrometry method (HS-SPME-GC-MS) was adopted for analyzing the volatile components of different parts of Clausena lansium in Hainan Province. Methods Five different fibers were investigated and optimized. Other five experimental parameters such as volume of water, extraction temperature, equilibrium time, extraction time, and salt concentration had been evaluated and optimized by means of the orthogonal design with L16(45) table. Finally, the volatile components of C. lansium leaves, pericarps, and seeds in Hainan were analyzed and identified by GC-MS combined with retention index (RI). Results The optimum extraction conditions were as follows a 50/30 μm DVB/CAR/PDMS fiber, 10 mg sample powders, 2.0 mL water, 0.2 g NaCl, extraction temperature 80 ℃, equilibrium time 30 min, extraction time 60 min. A total of 83 chemical components were identified from leaves, 96 from pericarps, and 106 from seeds, representing the relative contents of 95.24%, 92.15%, and 95.92% of the total composition. The highest contents were sesquiterpenes in all of the parts, but there were obviously different both in components and contents. Conclusion The HS-SPME-GC-MS method is rapid and sensitive, with a small sample size, without any organic solvents. GC-MS combined with RI has improved the accuracy of analysis and identification. The results may provide experimental basis for further exploitation of C. lansium in Hainan. This method can be used to perform enrichment analysis of the components with high-boiling point and micro-components, which can comprehensively and scientifically characterize and evaluate the quality of Chinese materia medica.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Traditional and Herbal Drugs Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Traditional and Herbal Drugs Year: 2018 Type: Article