title: A kinetic study of analyte-receptor binding and dissociation for biosensor applications: a fractal analysis for two different DNA systems.
abstract: A fractal analysis of DNA binding and dissociation kinetics on biosensor surfaces is presented. The fractal approach provides an attractive, convenient method to model the kinetic data taking into account the effects of surface heterogeneity brought about by ligand immobilization. The fractal technique can be used in conjunction or as an alternate approach to conventional modeling techniques, such as the Langmuir model, saturation model, etc. Examples analyzed include a DNA molecular beacon biosensor and a plasmid DNA-(cationic polymer) interaction biosensor. The molecular beacon example provides some insights into the nature of the surface and how it influences the binding rate coefficients. The DNA-cationic polymer interaction example provides some quantitative results on the binding and dissociation rate coefficients. Data taken from the literature may be modeled, in the case of binding, using a single-fractal analysis or a dual-fractal analysis. The dual-fractal analysis results indicate a change in the binding mechanism as the reaction progresses on the surface. A single-fractal analysis is adequate to model the dissociation kinetics in the example presented. Relationships are presented for the binding rate coefficients as a function of their corresponding fractal dimension, D(f), which is an indication of the degree of heterogeneity that exists on the surface. When analyte-receptor binding is involved, an increase in the heterogeneity of the surface (increase in D(f)) leads to an increase in the binding rate coefficient.
authors.affiliation: Chemical Engineering Department, University of Mississippi, 134 Anderson Hall, University, MS 38677-9740, USA.
authors.forename: Anand
authors.initials: A
authors.lastname: Ramakrishnan
authors.forename: Ajit
authors.initials: A
authors.lastname: Sadana
mesh_terms: D015374:Biosensing Techniques / Q000706:statistics & numerical data; D004247:DNA / Q000378:metabolism; D017709:Fractals; D066298:In Vitro Techniques; D007700:Kinetics; D008962:Models, Theoretical; D010957:Plasmids / Q000378:metabolism
chemical_list: D004247:DNA