Resolution of high performance liquid chromatographic fingerprints of rhizoma curcumae by application of chemometrics

Journal of Liquid Chromatography and Related Technologies

Volumn 34, Issue 17, 2011, Pages 1952-1964

  Ni, Yongnian ^a   Mei, Minghua ^a   Kokot, Serge ^b  

^a NANCHANG UNIVERSITY   (China)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Fingerprinting; Genetic algorithm partial least squares; High performance liquid chromatography; Pattern recognition; Processing method; Rhizoma Curcumae

Indexed keywords

CHEMICAL PATTERN RECOGNITION; CHEMOMETRICS; CHROMATOGRAPHIC FINGERPRINTS; COMMON PEAK; DIODE ARRAY DETECTORS; FEATURE VARIABLE; FINGERPRINTING; HPLC-DAD; K-NEAREST NEIGHBORS; LEAST SQUARE; PATTERN RECOGNITION METHOD; PROCESSING METHOD; REFERENCE METHOD; RHIZOMA CURCUMAE; SELECTION BASED; TRADITIONAL CHINESE MEDICINE;

CHROMATOGRAPHIC ANALYSIS; CHROMATOGRAPHY; FEATURE EXTRACTION; GENETIC ALGORITHMS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LIQUIDS; MEDICINE; PATTERN RECOGNITION; PROCESSING; QUALITY CONTROL;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; CHEMOMETRICS; DIODE; DIODE ARRAY DETECTOR; GENETIC ALGORITHM; GEOGRAPHIC DISTRIBUTION; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; K NEAREST NEIGHBOR; PARTIAL LEAST SQUARES REGRESSION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; RHIZOMA CURCUMAE; RHIZOME;

EID: 84855805920     PISSN: 10826076     EISSN: 1520572X     Source Type: Journal    
DOI: 10.1080/10826076.2011.582215     Document Type: Article

References (25)

1. Aschwanden, C. Bulletin of the World Health Organization Bull. World Health Organ. 2001, 79, 691.
2. Cao, J.; Qi, M.; Fang, L.; Zhou, S.; Fu, R.; Zhang, P. Analysis of Volatile Compounds in Curcuma wenyujin Y.H. Chen et C. Ling by Headspace Solvent Microextraction-Gas Chromatographic-Mass. Anal. Chim. Acta. 2006, 561 (1-2), 88-95. (Pubitemid 43356191)
3. Zhou, Y. X.; Lei, H. M.; Xu, Y. H.; Wei, L. X.; Xu, X. F. Research Technology of Fingerprint of Chinese Traditional Medicine. Chinese Chemical Industry Press: Beijing, 2002, pp 125-136.
4. WHO. Guidelines for the Assessment of Herbal Medicine. World Health Organization: Munich, 1991.
5. Ni, Y. N.; Zhang, L. S.; Churchill, J.; Kokot, S. Application of High Performance Liquid Chromatography for the Profiling of Complex Chemical Mixtures with the Aid of Chemometrics. Talanta. 2007, 72 (4), 1533-1539. (Pubitemid 46734136)
6. Gu, M.; Su, Z.; Fan, O. Y. Fingerprinting of Salvia Miltiorrhiza Bunge by Thin-Layer Chromatography Scan Compared with High Speed Countercurrent Chromatography. J. Liq. Chromatogr. Related Technol. 2006, 29 (10), 1503-1514.
7. Hajimahmoodi, M.; Heyden, Y. V.; Sadeghi, N.; Jannat, B.; Oveisi, M. R.; Shahbazian, S. Gas-Chromatographic Fatty-Acid Fingerprints and Partial Least Squares Modeling as a Basis for the Simultaneous Determination of Edible Oil Mixtures. Talanta. 2005, 66 (5), 1108-1116. (Pubitemid 40743593)
8. Zheng, X. Y. Chinese Pharmacopoeia (Part 1). Chinese Chemical Industry Press: Beijing, 2005, pp 230.
9. Li, G. D.; Xu, F.; Shen, A. J. Review on Study of Zedoary Turmeric Oil. Chin. Pharm. J. 2002, 37 (5), 806-809.
10. Xia, W. J.; Xiao, X. H.; Liu, F. Q.; Su, Z. W.; Qiao, C. Z. Determination on Chemical Constituents of Curcuma L. Produced in China. J. Chin. Mater. Med. 1999, 24 (7), 423-425.
11. Forina, M.; Casolino, C.; Pizarro, M. C. Iterative Predictor Weighting (IPW) PLS: A Technique for the elimination of Useless Predictors in Regression Problems. J. Chemom. 1999, 13 (2), 165-184.
12. Lindgren, F.; Geladi, P.; Rannar, S.; Wold, S. Interactive Variable Selection (IVS) for PLS. Part 1: Theory and Algorithms. J. Chemom. 1994, 8 (5), 349-363.
13. Lucasius, C.; Kateman, G. Genetic Algorithms for Large-Scale Optimization in Chemometrics: An Application. TrAC, Trends Anal. Chem. 1991, 10 (8), 221-254.
14. Gong, F.; Liang, Y. Z.; Xie, P. S.; Chau, F. T. Information Theory Applied to Chromatographic Fingerprint of Herbal Medicine for Quality Control. J. Chromatogr. A. 2004, 1002 (1-2), 25-40.
15. Ni, Y. N. Application of Chemometrics in Analytical Chemistry. Chinese Science Press: Beijing, 2004, pp 161-165.
16. Kannel, P. R.; Lee, S.; Kanel, S. R.; Khan, S. P. Chemometric Application in Classification and ssessment of monitoring locations of an Urban River System. Anal. Chim. Acta. 2007, 582 (2), 390-399. (Pubitemid 44958291)
17. Jackson, J. E. A Users Guide to Principal Components. Wiley: New York, 1991.
18. Ni, Y. N.; Peng, Y. Y.; Serge, K. Fingerprint Analysis of Eucommia Bark by LC-DAD and LS-MS with the Aid of Chemometrics. Chromatographia. 2008, 67 (3-4), 211-217.
19. Ding, Q.; Small, G. W.; Arnold, M. A. Genetic Algorithm Based Wavelength Selection for the Near-Infrared Determination of Glucose in Biological Matrixes: Initialization Strategies and Effects of Spectral Resolution. Anal. Chem. 1998, 70 (21), 4472-4479.
20. Leardi, R.; Boggia, R.; Terile, M. Genetic Algorithms as a Strategy for Feature Selection. J. Chemom. 1992, 6 (5), 267-281.
21. Leardi, R. Application of a Genetic Algorithm to Feature Selection Under Full Validation Conditions and to Outlier Detection. J. Chemom. 1994, 8 (1), 65-79.
22. Leardi, R. Application of Genetic Algorithm-PLS for Feature Selection in Spectral Data Sets. J. Chemom. 2000, 14 (5-6), 643-655.
23. Massart, D. L.; Vandeginste, B. G. M.; Deming, S. N.; Michotte, Y.; Kaufman, L. Chemometrics: A Textbook. Elsevier Science Publishers: Amsterdam, 1988, pp 395-397.
24. State Administration of Traditional Chinese Medicine, Chinese Materia Medica. Shanghai Science and Technology Press: Shanghai, 1998, pp 2272.
25. Geladi, P.; Kowalski, B. R. Partial Least-Squares Regression: A Tutorial. Anal. Chim. Acta. 1986, 185, 1-17.