2007
DOI: 10.1063/1.2785182
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A method for analysis of multicomponent systems of interacting aromatic molecules in solution

Abstract: A method has been developed for analyzing multicomponent mixtures containing N different types of noncovalently interacting aromatic molecules using spectroscopic data [nuclear magnetic resonance (NMR), UV-vis, fluorescence, circular dichroism]. The method is based on an algorithmical approach to modeling of the N-component dynamic equilibrium (N-STOCH algorithm), dealing with numbers in N-based numerical systems as analogs of molecular complexes being formed in solution. A basic property of the algorithm is t… Show more

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Cited by 15 publications
(34 citation statements)
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“…The use of such equations in the description of experimental data may follow the standard algorithm reviewed in Refs. [24,25] and currently being used by many authors in applications concerning molecular assembly. We shall briefly describe this algorithm without going into its details.…”
Section: Utilisation Of the Derived Equationsmentioning
confidence: 99%
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“…The use of such equations in the description of experimental data may follow the standard algorithm reviewed in Refs. [24,25] and currently being used by many authors in applications concerning molecular assembly. We shall briefly describe this algorithm without going into its details.…”
Section: Utilisation Of the Derived Equationsmentioning
confidence: 99%
“…accounts for all possible arrangements of molecules of different types. The whole set of possible complexes also includes the pairs of mirror symmetrical complexes (for example, complexes of C j K ji C i K ii C i and C i K ii C i K ij C j type) which have been previously denoted as 'reflected' complexes [18,24,25]. They become physically indistinguishable under the condition K ij ¼ K ji , which is the case most frequently met in one-dimensional hetero-assembly in solution (account of the distinguishability, K ij -K ji , was accomplished in Ref.…”
Section: Derivation Of the Grand Partition Function Using The Tm Apprmentioning
confidence: 99%
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