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KMID : 1101320080400010018
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Korean Journal of Clinical Laboratory Science
2008 Volume.40 No. 1 p.18 ~ p.25
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Nonlinear Regression Analysis of Acid-Base Titration System
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Park Chung-Oh
Hong Jae-Jin
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Abstract
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In classical titrimetric analyses, the major concern is the concentration of titrant, usually the aqueous solution of hydrochloric acid or sodium hydroxide, that could be changed as time goes by and it is accompanied with the inaccuracy of the resulting data. And the statistical approach, the nonlinear regression analysis, which is a well-known statistical method, was introduced to determine the accurate concentration of the titrant and the exact value of parameters, Ka, r, Ca, Cb, for 0.01 M aqueous solutions of analytes, sodium pyruvate, sodium acetate, sodium bicarbonate, ammonium hydroxide, ammonium chloride and acetic acid at 25℃. We used Gauss-Newton method for the linearlization of the nonlinear titration system and the two-parameter fitting showed appreciable convergent data for the parameters of the analytes set with the various range of Ka value.
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KEYWORD
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Nonlinear regression analysis, Acid-Base Titration System
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