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Computational methods for fitting statistical distribution models of multi-site binding equilibria

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Abstract

Statistical distribution models of multi-site binding equilibria have potential applicability in the study of acid-base and metal complexation chemistry of humic substances in soils, sediments, and natural waters. A mathematical derivation is presented for the general continuous model for the case of proton binding; computational methods are described for fitting numerically the parameters in such models. Among models considered are those based on nontruncated, truncated, and bimodal (mixed) distributions. Specific emphasis is placed on Gaussian distribution models.

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References

  • Abramowitz, M. and Stegun, I.A., 1972, Handbook of Mathematical Functions: National Bureau of Standards, Washington, D.C., 1046 p.

    Google Scholar 

  • Bard, Y., 1974, Nonlinear Parameter Estimation: Academic Press, New York, 341 p.

    Google Scholar 

  • Cabaniss, S. E., Shuman, M. S., and Collins, B. J. 1984, Metal-Organic Binding: A Comparison of Models: p. 165–179in C. J. M. Kramer and J. C. Duinker (Eds.), Complexation of Trace Metals in Natural Waters: Junk Publishers, The Hague.

    Google Scholar 

  • Dempsey, B. A. and O'Melia, C. R. 1983, Proton and Calcium Complexation of Four Fulvic Acid Fractions: p. 239–273in R. F. Christman and E. T. Gjessing (Eds.), Aquatic and Terrestrial Humic Materials: Ann Arbor Science, Ann Arbor.

    Google Scholar 

  • Ertel, J. R., Hedges, J. I., and Perdue, E. M., 1984, Lignin Signature of Aquatic Humic Substances: Science, v. 223, p. 485–487.

    Google Scholar 

  • Fletcher, R. and Powell, M. J. D., 1963, A Rapidly Convergent Descent Method for Minimization: Comput. J., v. 6, p. 163–168.

    Google Scholar 

  • Gamble, D. S., 1970, Titration Curves of Fulvic Acid: The Analytical Chemistry of a Weak Acid Polyelectrolyte:Can. J. Chem., v. 48, p. 2662–2669.

    Google Scholar 

  • Gamble, D. S. 1972, Potentiometric Titration of Fulvic Acid: Equivalence Point Calculations and Acidic Functional Groups: Can. J. Chem., v. 50, p. 2680–2690.

    Google Scholar 

  • Hamming, R. W., 1973, Numerical Methods for Scientists and Engineers: McGraw-Hill, New York, 721 p.

    Google Scholar 

  • Lytle, C. R. and Perdue, E. M., 1981, Free, Proteinaceous, and Humic-Bound Amino Acids in River Water Containing High Concentrations of Aquatic Humus: Environ. Sci. Technol., v. 15, p. 224–228.

    Google Scholar 

  • Parrish, R. S., 1983, On an Integrated Approach to Member Selection and Parameter Estimation for Pearson Distributions: Comput. Stat. Data Anal., v. 1, p. 239–255.

    Google Scholar 

  • Parrish, R. S., 1987, Evaluation and Approximation of Multivariate Cumulative Joint Probabilities: J. Stat. Comput. Simul., v. 27, p. 1–33.

    Google Scholar 

  • Parrish, R. S. and Bargmann, R. E., 1981, A Method for Evaluation of Cumulative Probabilities of Bivariate Distributions Using the Pearson Family: p. 241–257in C. Taillie, G. P. Patil, and B. Baldessari (Eds.), Statistical Distributions in Scientific Work, v. 5: Reidel, Dordrecht.

    Google Scholar 

  • Perdue, E. M., 1985, Acidic Functional Groups of Humic Substances: p. 493–526in G. R. Aiken, D. M. McKnight, R. L. Wershaw, and P. MacCarthy (Eds.), Humic Substances in Soil, Sediment, and Water: Geochemistry, Isolation, and Characterization: Wiley-Interscience, New York.

    Google Scholar 

  • Perdue, E. M., and Lytle, C. R., 1983, A Distribution Model for Binding of Protons and Metal Ions by Humic Substances: Environ. Sci. Technol. v. 17, p. 654–660.

    Google Scholar 

  • Perdue, E. M. and Parrish, R. S., 1987, Fitting Multi-Site Binding Equilibria to Statistical Distribution Models: Turbo PASCAL Program for Gaussian Models: Comp. Geosci., v. 13, p. 587–601.

    Google Scholar 

  • Perdue, E. M.; Reuter, J. H.; and Parrish, R. S., 1984, A Statistical Model of Proton Binding by Humis: Geochim. Cosmochim. Acta, v. 48, p. 1257–1263.

    Google Scholar 

  • Posner, A. M., 1964, Titration Curves of Humic Acid: p. 161–173in Proceedings of the 8th International Congress of Soil Science, Part II: Bucharest, Romania.

  • Shuman, M.S.; Collins, B. J.; Fitzgerald, P. J.; and Olson, D. L.; 1983, Distribution of Stability Constants and Dissociation Rate Constants Among Binding Sites on Estuarine Copper-Organic Complexes; Rotated Disk Electrode Studies and an Affinity Spectrum Analysis of Ion-Selective Electrode and Photometric Data: p. 349–370in R. F. Christman and E. T. Gjessing (Eds.), Aquatic and Terrestrial Humic Materials: Ann Arbor Science, Ann Arbor.

    Google Scholar 

  • Sposito, G., 1986, Sorption of Trace Metals by Humic Materials in Soils and Natural Waters: CRC Crit. Rev. Environ. Control, v. 16, p. 193–229.

    Google Scholar 

  • Sweet, M. S. and Perdue, E. M., 1982, Concentration and Speciation of Sugars in River Water: Environ. Sci. Technol., v. 16, p. 692–698.

    Google Scholar 

  • Turner, D. R., Varney, M. S.; Whitefield, M.; Mantoura, R. F. C.; and Riley, J. P. 1983, Electrochemical Studies of Copper and Lead Complexation by Fulvic Acid: I. Potentiometric Measurements and a Critical Comparison of Metal Binding Models: Geochim. Cosmochim. Acta, v. 50, p. 289–297.

    Google Scholar 

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Parrish, R.S., Perdue, E.M. Computational methods for fitting statistical distribution models of multi-site binding equilibria. Math Geol 21, 199–219 (1989). https://doi.org/10.1007/BF00893215

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  • DOI: https://doi.org/10.1007/BF00893215

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