Table of Contents
Chromatography Research International
Volume 2012 (2012), Article ID 230903, 8 pages
http://dx.doi.org/10.1155/2012/230903
Research Article

The HPLC/DAD Fingerprints and Chemometric Analysis of Flavonoid Extracts from the Selected Sage (Salvia) Species

1Institute of Chemistry, University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland
2Department of Inorganic Chemistry, Faculty of Pharmacy, Collegium Pharmaceuticum, Medical University of Lublin, 4a Chodźki Street, 20-093 Lublin, Poland

Received 18 July 2011; Accepted 23 August 2011

Academic Editor: Yvan Vander Heyden

Copyright © 2012 Mieczysław Sajewicz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Rzepa, Ł. Wojtal, D. Staszek et al., “Fingerprint of selected Salvia species by HS-GC-MS analysis of their volatile fraction,” Journal of Chromatographic Science, vol. 47, no. 7, pp. 575–580, 2009. View at Google Scholar · View at Scopus
  2. Ł. Ciesla, M. Hajnos, D. Staszek, Ł. Wojtal, T. Kowalska, and M. Waksmundzka-Hajnos, “Validated binary high-performance thin-layer chromatographic fingerprints of polyphenolics for distinguishing different Salvia species,” Journal of Chromatographic Science, vol. 48, no. 6, pp. 421–427, 2010. View at Google Scholar · View at Scopus
  3. Ł. Cieśla, D. Staszek, M. Hajnos, T. Kowalska, and M. Waksmundzka-Hajnos, “Development of chromatographic and free radical scavenging activity fingerprints by thin-layer chromatography for selected Salvia species,” Phytochemical Analysis, vol. 22, no. 1, pp. 59–65, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Sajewicz, D. Staszek, M. Natić, Ł. Wojtal, M. Waksmundzka-Hajnos, and T. Kowalska, “TLC-MS versus TLC-LC-MS fingerprints of herbal extracts. Part II. Phenolic acids and flavonoids,” Journal of Liquid Chromatography and Related Technologies, vol. 34, no. 10-11, pp. 864–887, 2011. View at Publisher · View at Google Scholar
  5. Polish Pharmaceutical Society, Polish Pharmacopoeia VI, Polish Pharmaceutical Society, Warsaw, Poland, 2002.
  6. M. Sajewicz, D. Staszek, Ł. Wojtal, T. Kowalska, M. Hajnos, and M. Waksmundzka-Hajnos, “Binary HPLC-Diode Array Detector and HPLC-Evaporative Light Scattering Detector fingerprints of methanol extracts from the selected sage (Salvia) species,” Journal of AOAC International, vol. 94, pp. 71–76, 2011. View at Google Scholar
  7. M. Daszykowski, M. Sajewicz, J. Rzepa et al., “Comparative analysis of the chromatographic fingerprints of twenty different sage (Salvia L.) species,” Acta Chromatographica, vol. 21, no. 4, pp. 513–530, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. P. H. C. Eilers, “A perfect smoother,” Analytical Chemistry, vol. 75, no. 14, pp. 3631–3636, 2003. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Savitzky and M. J. E. Golay, “Smoothing and differentiation of data by simplified least squares procedures,” Analytical Chemistry, vol. 36, no. 8, pp. 1627–1639, 1964. View at Google Scholar · View at Scopus
  10. R. J. Barnes, M. S. Dhanoa, and S. J. Lister, “Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra,” Applied Spectroscopy, vol. 43, no. 5, pp. 772–777, 1989. View at Google Scholar · View at Scopus
  11. S. Wold, K. Esbensen, and P. Geladi, “Principal component analysis,” Chemometrics and Intelligent Laboratory Systems, vol. 2, no. 1–3, pp. 37–52, 1987. View at Google Scholar · View at Scopus
  12. M. Daszykowski, B. Walczak, and D. L. Massart, “Projection methods in chemistry,” Chemometrics and Intelligent Laboratory Systems, vol. 65, no. 1, pp. 97–112, 2003. View at Publisher · View at Google Scholar · View at Scopus
  13. D. L. Massart, B. G. M. Vandeginste, L. M. C. Buydens, S. de Jong, P. J. Lewi, and J. Smeyers-Verbeke, Handbook of Chemometrics and Qualimetrics: Part A, Elsevier, Amsterdam, The Netherlands, 1997.
  14. R. W. Kennard and L. A. Stone, “Computer aided design of experiments,” Technometrics, vol. 11, pp. 137–148, 1969. View at Google Scholar