Bulletin of the Korean Chemical Society

Korean Chemical Society (대한화학회)
권호 표지
DOI QR코드

DOI QR Code

Quality Assessment of Curcuma longa L. by Gas Chromatography-Mass Spectrometry Fingerprint, Principle Components Analysis and Hierarchical Clustering Analysis

  • Li, Ming (The Research Center for Quality Control of Natural Medicine, Guizhou Normal University) ;
  • Zhou, Xin (The Research Center for Quality Control of Natural Medicine, Guizhou Normal UniversityKey Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment) ;
  • Zhao, Yang (The Research Center for Quality Control of Natural Medicine, Guizhou Normal University,Key Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment) ;
  • Wang, Dao-Ping (The Key Laboratory of Chemistry for Natural Products of Guizhou Province and Chinese Academy of Sciences) ;
  • Hu, Xiao-Na (The Research Center for Quality Control of Natural Medicine, Guizhou Normal University)
  • Published : 2009.10.20
Download PDF
⟨ Previous Next ⟩

Abstract

Gas Chromatography-Mass Spectrometry (GC-MS) fingerprint analysis, Principle Components Analysis (PCA), and Hierarchical Cluster Analysis (HCA) were introduced for quality assessment of Curcuma longa L. (C. longa). The GC-MS fingerprint method was developed and validated by analyzing 33 batches of samples of C. longa from different geographic locations. 18 chromatographic peaks were selected as characteristic peaks and their relative peak areas (RPA) were calculated for quantitative expression. Two principal components (PCs) were extracted by PCA. C. longa collected from Guizhou and Fujian were separated from other samples by PC1, capturing 71.83% of variance. While, PC2 contributed for their further separation, capturing 11.13% of variance. HCA confirmed the result of PCA analysis. Therefore, GC-MS fingerprint study with chemometric techniques provides a very flexible and reliable method for quality assessment of C. longa.

Keywords

References

  1. The Pharmacopoeia Committee of China, The Chinese Pharma- copoeia; the Chinese Industry Publishing House: Beijing, China, 2005; Vol. 1, p 186
  2. Kim, K. J.; Yu, H. H.; Cha, J. D.; Seo, S. J.; Choi, N. Y.; You, Y. O. Phytother. Res. 2005, 19, 599. https://doi.org/10.1002/ptr.1660
  3. Braga, M. E.; Leal, P. F.; Carvalho, J. E.; Meireles, M. A. J. Agric. Food Chem. 2003, 51, 6604. https://doi.org/10.1021/jf0345550
  4. Apisariyakul, A.; Vanittanakom, N.; Buddhasukh, D. J. Ethnopharmacol. 1995, 49, 163. https://doi.org/10.1016/0378-8741(95)01320-2
  5. El-Ansary, A. K.; Ahmed, S. A.; Aly, S. A. Indian J. Exp. Biol. 2007, 45, 791.
  6. Yu, Z. F.; Kong, L. D.; Chen, Y. J. Ethnopharmacol. 2002, 83, 161. https://doi.org/10.1016/S0378-8741(02)00211-8
  7. Kundu, S.; Biswas, T. K.; Das, P.; Kumar, S.; De, D. K. Int. J. Low. Extrem. Wounds. 2005, 4, 205. https://doi.org/10.1177/1534734605281674
  8. Sharma, S.; Kulkarni, S. K.; Chopra, K. Clin. Exp. Pharmacol. Physiol. 2006, 33, 940. https://doi.org/10.1111/j.1440-1681.2006.04468.x
  9. Vijayalakshmi, R.; Satyanayana, M. N. Phytochemistry 1980, 19, 2031 https://doi.org/10.1016/0031-9422(80)83033-0
  10. Norajit, K.; Laohakunjit, N.; Kerdchoechuen, O. Molecules 2007, 12, 2047. https://doi.org/10.3390/12082047
  11. Chandra, D.; Gupta, S. S. Indian J. Med. Res. 1972, 60, 138.
  12. Jayaprakasha, G. K.; Jena, B. S.; Negi, P. S.; Sakariah, K. K. Z. Naturforsch. 2002, 57, 828.
  13. Hu, Y.; Du, Q.; Tang, Q. Se Pu. 1998, 16, 528.
  14. Lee, H. S. Bioresour. Technol. 2006, 97, 1372. https://doi.org/10.1016/j.biortech.2005.07.006
  15. Rathore, P.; Dohare, P.; Varma, S.; Ray, A.; Sharma, U.; Jaganathanan, N. R.; Ray, M. Neurochem. Res. 2008, 33, 1672. https://doi.org/10.1007/s11064-007-9515-6
  16. Fang, H. Z.; Ren, S. Q.; Shen, D. F. Zhong Yao Cai. 2006, 29, 1179.
  17. The Pharmacopoeia Committee of China, The Chinese Pharmacopoeia, vol. I; The Chinese Industry Publishing House: 2005, Appendix.

Cited by

  1. Composition–activity relationship modeling to predict the antitumor activity for quality control of curcuminoids from Curcuma longa L. (turmeric) vol.5, pp.3, 2013, https://doi.org/10.1039/C2AY26192H
  2. Metabolic profiling of Piper species by direct analysis using real time mass spectrometry combined with principal component analysis vol.6, pp.12, 2014, https://doi.org/10.1039/c4ay00246f
  3. using direct analysis in real-time mass spectrometry and principal component analysis for discrimination vol.32, pp.6, 2015, https://doi.org/10.1080/19440049.2015.1022885
  4. Bioactive chemical constituents of Curcuma longa L. rhizomes extract inhibit the growth of human hepatoma cell line (HepG2) vol.66, pp.3, 2016, https://doi.org/10.1515/acph-2016-0028
  5. Cathodoluminescence Properties of In2O3-coated Y2O3:Eu3+ Phosphors vol.31, pp.5, 2009, https://doi.org/10.5012/bkcs.2010.31.5.1387
  6. Chemical constituents from Curcuma zedoaria vol.40, pp.None, 2009, https://doi.org/10.1016/j.bse.2011.10.001
  7. Gas Chromatographic Fingerprinting Coupled to Chemometrics for Food Authentication vol.36, pp.4, 2020, https://doi.org/10.1080/87559129.2019.1649691