Igor G. Zenkevich1, Balázs Kránicz2
1Chemical Research Institute of St. Petersburg State University,
Universitetsky pr., 2, St. Petersburg 198504, Russia; E-mail igor@IZ6246.spb.edu
2University of Veszprem, Department of Image Processing
and Neurocomputing,
Egyetem u., 10, P.O.Box 158, H-8200, Veszprem, Hungary; E-mail kraniczb@almos.vein.hu
The general method of the choice of optimal regression functions for the approximation of various physico-chemical constants of organic compounds can be based on the selection of best function f(nC) not for their real values, but for their numerical derivatives fn(nC) of different order (n) followed by multi-step integration of these functions. This approach was proposed first for boiling points of homologues with f''(nC) = a/nC, that gives the target equation Tb = a log nC + b nC log nC + c [ 1,2] . More precise choice of approximating function for n-order derivatives permits us to generalize this method for other properties.
The following formula determines the numerical derivatives of any equidistant
data set: f''= (fk-1 + fk+1 – 2fk)
/ h2, where h denotes the step between two neighboring
data points (nC = 1). The regression functioncan
be fit onto the data representing the second derivatives of reciprocal
boiling points (x = 1/Tb) or absolute values of
relative densities (d420)
and refractive indices (nD20). After twice integrating
this function we get:
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Table. Some results (partially) of boiling points, relative densities,
and refractive indices of n-alkylbenzenes approximation with
eq. (1)
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Toluene |
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Ethylbenzene |
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Propylbenzene |
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Butylbenzene |
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Pentylbenzene |
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Hexylbenzene |
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. . . . . |
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Heptadecylbenzene |
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Octadecylbenzene |
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Nonadecylbenzene |
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Eicosylbenzene |
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Average differences |Pexperim - Pprecalc| |
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References:
1. Zenkevich I.G. Zh. Phys. Khim. (Rus). 72 (1998) 1286-1291.
2. Zenkevich I.G. Proc. 20th Int. Symp. on Capil. Chromatogr.
Italy, 1998. Rep. A.03 (CD-ROM).
3. Ioffe B.V., Zenkevich I.G. Zh. Phys. Khim. (Rus). 74 (2000) 2101-2106.