Present work introduces integral form criterion of concentration dependence of molecule’s experimental parameter induced in aqueous solution due to its self-aggregation. Empirical curvature of a curve averaged over all experimental points is suggested to be such a criterion. The form criterion enables unifying and reducing dimensions of data representation and comparing of data curves of different compounds. On the basis of the criterion a discrimination rule for determination of equilibrium constant K tolerance range can be constructed. Curvature value can be useful in order to draw up a strategy for optimal design of molecular self-aggregation experiment aimed to obtain reliable parameters’ estimates. Theoretical analysis of curvature function of chemical shift dependence on molecules concentration was done using indefinite non-cooperative model of self-aggregation in aqueous solution. Validation of the criterion was implemented using 1H-NMR spectroscopy data on chemical shifts of 78 protons of 17 aromatic compounds.
self-association, curvature, biologically active compounds, optimal experimental design
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