Skip to main content
Log in

Four Points Function Fitted and First Derivative Procedure for Determining the End Points in Potentiometric Titration Curves: Statistical Analysis and Method Comparison

  • Published:
Analytical Sciences Aims and scope Submit manuscript

Abstract

A new method that belongs to the differential category for determining the end points from potentiometric titration curves is presented. It uses a preprocess to find first derivative values by fitting four data points in and around the region of inflection to a non-linear function, and then locate the end point, usually as a maximum or minimum, using an inverse parabolic interpolation procedure that has an analytical solution. The behavior and accuracy of the sigmoid and cumulative non-linear functions used are investigated against three factors. A statistical evaluation of the new method using linear least-squares method validation and multifactor data analysis are covered. The new method is generally applied to symmetrical and unsymmetrical potentiometric titration curves, and the end point is calculated using numerical procedures only. It outperforms the “parent” regular differential method in almost all factors levels and gives accurate results comparable to the true or estimated true end points. Calculated end points from selected experimental titration curves compatible with the equivalence point category of methods, such as Gran or Fortuin, are also compared with the new method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, “Numerical Recipe, 1992, Cambridge University Press, 213, 395, 402.

    Google Scholar 

  2. H. R. Schwarz, “Numerical Analysis, 1989, John Wiley & Sons Ltd., Chichester, New York, Brisbane, Toronto, Singapore, 114.

    Google Scholar 

  3. G. Gran, Anal. Chim. Acta, 1988, 206, 111.

    Article  CAS  Google Scholar 

  4. L. M. Schwartz, Anal. Chim. Acta, 1989, 225, 205.

    Article  CAS  Google Scholar 

  5. F. J. C. Rossotti and H. Rossotti, J. Chem. Educ, 1965, 7, 375.

    Article  Google Scholar 

  6. L. M. Schwartz, J. Chem. Educ, 1992, 69, 879.

    Article  CAS  Google Scholar 

  7. C. Maccà and G. G. Bombi, Analyst, 1989, 114, 463.

    Article  Google Scholar 

  8. J. M. H. Fortuin, Anal. Chim. Acta, 1961, 24, 175.

    Article  CAS  Google Scholar 

  9. K. Ebert, H. Ederer, and T. L. Isenhour, “Computer Applications in Chemistry”, 1989, VCH Verlagsgesellschaft, Weinheim, 390.

    Google Scholar 

  10. M. A. Sharaf, D. L. Illman, and B. R. Kowalski, “ Chemometrics”, 1986, Vol. 82, “ Chemical Analysis’”, John Wiley & Sons, New York, Chichester, Brisbane, Toronto, Singapore, 193.

    Google Scholar 

  11. G. Anderegg and S. Kholeif, Talanta, 1994, 41, 1507.

    Article  CAS  Google Scholar 

  12. D. L. Massart, B. G. M. Vandeginste, S. N. Deming, Y. Michotte, and L. Kaufman, “Chemometrics: a Textbook”, 1988, Vol. 2, “Data Handling in Science and Technology?”, Elsevier Science Publishers, Amsterdam, Oxford, New York, Tokyo, 53.

    Google Scholar 

  13. E. Nakamura, Y. Nagahara, and H. Namiki, Anal. Sci., 1991, 7 (supplement), 753.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sherif A. Kholeif.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kholeif, S.A. Four Points Function Fitted and First Derivative Procedure for Determining the End Points in Potentiometric Titration Curves: Statistical Analysis and Method Comparison. ANAL. SCI. 17, 715–720 (2001). https://doi.org/10.2116/analsci.17.715

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2116/analsci.17.715

Navigation