Chromatographia

, 41:707 | Cite as

Deductive prediction of measurement precision and optimization of integration time and wavelength in capillary electrophoreses

  • R. Matsuda
  • Y. Hayashi
  • K. Sasaki
  • Y. Saito
Originals
  • 18 Downloads

Summary

This paper demonstrates that the relative standard deviation (RSD) of measurements in a capillary electrophoresis system can be predicted theoretically from the baseline and the signal shape at low sample concentration. The only requirements for prediction of the uncertainty are the Fourier transform of the baseline (here 2048 data points) and the observation of signal shape. The micellar electrokinetic chromatography (MEKC) of acetaminophen and caffeine is taken as an example. The optimum is defined here as the condition of the lowest RSD or highest precision. The optimum single wavelength is selected from between 220 and 350 nm for the MEKC system equipped with a photodiode array detector. The optimum time domain of signal integration is shown to be even narrower than the entire signal region, providing an RSD value about half that for integration of the entire region. The theory is in good agreement with observed RSD values.

Key Words

Capillary eletrophoresis Micellar electrokinetic chromatography Theoretical error prediction Optimization of experimental conditions 

References

  1. [1]
    S. N. Deming, J. Chromatogr.550, 15 (1991).CrossRefGoogle Scholar
  2. [2]
    J. Kondo, “Optimization techniques (Saitekika hou)”, Corona Publishing, Tokyo, 1988.Google Scholar
  3. [3]
    J. C. Berridge, Anal. Chim. Acta.191, 243 (1986).CrossRefGoogle Scholar
  4. [4]
    C. E. Goewie, J. Liquid Chromatogr.9, 1431 (1986).CrossRefGoogle Scholar
  5. [5]
    H. J. G. Debets, B. L. Bajema, D. A. Doornbos, Anal. Chim. Acta.151, 131 (1983).CrossRefGoogle Scholar
  6. [6]
    Y. Hayashi, R. Matsuda, in “Advances in Chromatography Vol. 34”, P. R. Brown, E. Grushka, Eds., Marcel Dekker, Inc., Hong Kong, 1994, p. 347.Google Scholar
  7. [7]
    Y. Hayashi, R. Matsuda, Chemom. Intell. Lab Syst.18, 1 (1993).CrossRefGoogle Scholar
  8. [8]
    Y. Hayashi, R. Matsuda, S. Terabe, Chromatographia37, 149 (1993).CrossRefGoogle Scholar
  9. [9]
    D. L. Massart, B. Bourguignon, J. Chromatogr.586, 11 (1991).CrossRefGoogle Scholar
  10. [10]
    S. N. Deming, J. M. Palasota, J. Lee, L. Sun, J. Chromatogr.485, 15 (1989).CrossRefGoogle Scholar
  11. [11]
    H. A. H. Billiet, L. de Galan, J. Chromatogr.485, 477 (1989).CrossRefGoogle Scholar
  12. [12]
    R. Cela, C. G. Barroso, J. A. Perez-Bustamante, J. Chromatogr.485, 477 (1989).CrossRefGoogle Scholar
  13. [13]
    H. C. Smit, H. L. Walg, Chromatographia8, 311 (1975).CrossRefGoogle Scholar
  14. [14]
    J. M. Laeven, H. C. Smit, Anal. Chim. Acta176, 77 (1985).CrossRefGoogle Scholar
  15. [15]
    H. C. Smit, H. Steigstra, ACS Symp. Ser.361, 126 (1988).CrossRefGoogle Scholar
  16. [16]
    E. Grushka, I. Zamir, in “Chemical Analysis”, Anonymous, Ed., 1989, p. 529.Google Scholar
  17. [17]
    J. F. K. Huber, J. A. R. J. Hulsman, C. A. M. Meijers, J. Chromatogr.62, 79 (1971).CrossRefGoogle Scholar
  18. [18]
    H. Barth, E. Dallmeier, G. Courtois, H. E. Keller, B. L. Karger, J. Chromatogr.83, 289 (1973).CrossRefGoogle Scholar
  19. [19]
    L. R. Snyder, S. van der Wal, Anal. Chem.53, 877 (1981).CrossRefGoogle Scholar
  20. [20]
    Y. Hayashi, R. Matsuda, Anal. Chem.66, 2874 (1994).CrossRefGoogle Scholar
  21. [21]
    Y. Hayashi, R. Matsuda, Anal. Sci.10, 725 (1994).CrossRefGoogle Scholar
  22. [22]
    Y. Hayashi, R. Matsuda, R. B. Poe, Chromatographia41, 66 (1995).CrossRefGoogle Scholar
  23. [23]
    Y. Hayashi, R. Matsuda, Chromatographia41, 75 (1995).CrossRefGoogle Scholar
  24. [24]
    Y. Hayashi, R. Matsuda, R. B. Poe, J. Chromatogr., submitted for publication.Google Scholar
  25. [25]
    P. W. J. M. Boumans, Anal. Chem.66, 459A (1994).Google Scholar
  26. [26]
    E. H. Piepmeier, Anal. Chem.48, 1296 (1976).CrossRefGoogle Scholar
  27. [27]
    J. D. Ingle, Jr.,S. R. Crouch, Anal. Chem.44, 1375 (1972).CrossRefGoogle Scholar
  28. [28]
    J. D. Ingle, Jr., Anal. Chem.46, 2161 (1974).CrossRefGoogle Scholar
  29. [29]
    J. D. Winefordner, R. Avni, T. L. Chester et al. Spectrochim. Acta31B, 1 (1976).CrossRefGoogle Scholar
  30. [30]
    C. T. J. Alkemade, W. Snelleman, G. D. Boutilier et al., Spectrochim. Acta33B, 383 (1978).CrossRefGoogle Scholar
  31. [31]
    G. D. Boutilier, B. D. Pollard, J. D. Winefordner, T. L. Chester, N. Omenetto, Spectrochim. Acta33B, 401 (1978).CrossRefGoogle Scholar
  32. [32]
    C. T. J. Alkemade, W. Snelleman, G. D. Boutilier, J. D. Winefordner, Spectrochim. Acta35B, 261 (1980).CrossRefGoogle Scholar
  33. [33]
    E. D. Prudnikov, J. W. Elgersma, H. C. Smit, J. Anal. At. Spectrom.9, 619 (1994).CrossRefGoogle Scholar
  34. [34]
    E. D. Prudnikov, Fresenius’ Z. Anal. Chem.337, 412 (1990).CrossRefGoogle Scholar
  35. [35]
    E. D. Prudnikov, Y. S. Shapkina, Analyst.109, 305 (1984).CrossRefGoogle Scholar
  36. [36]
    L. Huber, “Good laboratory practice and current good manufacturing practice”, Marcel Dekker, New York, 1994.Google Scholar
  37. [37]
    J. Ruzicka, E. H. Hansen, “Flow injection analysis”, John Wiley and Sons, New York, 1988.Google Scholar
  38. [38]
    D. N. Heiger, “High performance capillary electrophoresis — An introduction”, Hewlett-Packard, France, 1992.Google Scholar

Copyright information

© Friedr. Vieweg & Sohn Verlagsgesellschaft mbH 1995

Authors and Affiliations

  • R. Matsuda
    • 1
  • Y. Hayashi
    • 1
  • K. Sasaki
    • 1
  • Y. Saito
    • 1
  1. 1.National Institute of Health SciencesTokyoJapan

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