Determination of the association constant of strongly bonded host-guest systems by multivariate regression of infrared spectroscopic data

Nissink, J. Willem M. and Boerrigter, Harold and Verboom, Willem and Reinhoudt, David N. and Maas van der, John H. (1998) Determination of the association constant of strongly bonded host-guest systems by multivariate regression of infrared spectroscopic data. Journal of the Chemical Society. Perkin transactions II, 1998 (7). pp. 1671-1675. ISSN 0300-9580

PDF
Restricted to UT campus only: Request a copy
141Kb

Abstract:	A new method applying infrared spectroscopy in combination with multivariate regression for the determination of association constants has been developed to overcome the sensitivity problems arising when strongly associating complexes are investigated by NMR or UV–VIS methods. A concentration profile for the complex is derived by correction of multivariate regression data. Subsequent iterative fitting of the corrected data yields the association constant.The regression part is not integrated in the process of the association constant determination itself. Separating data treatment from the actual fitting procedure offers a means of evaluating the quality of the data set and the order of association before the actual calculation of the association constant. Furthermore, the method of regression can be varied and the applicability of the selected method can be assessed from the data-regression output.From simulated data, it is estimated that an association constant range of 102–106M–1 can be determined when measuring at millimolar concentration levels.Examples are shown for halide complexation of a thiourea compound and a urea-substituted resorcinarene cavitand.
Item Type:	Article
Copyright:	© 1998 Royal Society of Chemistry
Faculty:	Science and Technology (TNW)
Research Group:	Molecular Nanofabrication (MNF)
Link to this item:	http://purl.utwente.nl/publications/11090
Official URL:	http://dx.doi.org/10.1039/a708831k
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page

Metis ID: 105989