Analysis of the Essential Oils of Coriandrum sativum Using GC-MS Coupled with Chemometric Resolution Methods
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- Zhou Zhi-Feng
- Hygiene Detection Center, School of Public Health and Tropic Medicine, Southern Medical University
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- Chen Ling-Yun
- Hygiene Detection Center, School of Public Health and Tropic Medicine, Southern Medical University
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- Shen Mei
- Hygiene Detection Center, School of Public Health and Tropic Medicine, Southern Medical University
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- Ma An-De
- Hygiene Detection Center, School of Public Health and Tropic Medicine, Southern Medical University
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- Yang Xue-Mei
- Hygiene Detection Center, School of Public Health and Tropic Medicine, Southern Medical University
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- Zou Fei
- Department of Occupational Health and Occupational Medicine, School of Public Health and Tropic Medicine, Southern Medical University
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Abstract
The essential oils extracted from Coriandrum sativum L. were analyzed by GC-MS coupled with chemometric resolution methods. Through the chemometric resolution methods, peak clusters were uniquely resolved into the pure chromatographic profiles and mass spectra of each component. Qualitative analysis was performed by comparing the pure mass spectra with those in the NIST 05 mass spectral library. Quantitative analysis was performed using the total volume integration method. A total of 118 constituents were detected, of which 104 were identified, accounting for 97.27% of the total content. The results indicate that GC-MS combined with chemometric resolution methods can greatly enhance the capability of separation and the reliability of qualitative and quantitative results. The combined method is an economical and accurate approach for the rapid analysis of the complex essential oil samples in Coriandrum sativum L.
Journal
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- Chemical and Pharmaceutical Bulletin
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Chemical and Pharmaceutical Bulletin 59 (1), 28-34, 2011
The Pharmaceutical Society of Japan
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Details 詳細情報について
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- CRID
- 1390001204174169472
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- NII Article ID
- 130000405484
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- NII Book ID
- AA00602100
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- ISSN
- 13475223
- 00092363
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- NDL BIB ID
- 10926777
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed