title: Analysis of analyte-receptor binding kinetics for biosensor applications: an overview of the influence of the fractal dimension on the surface on the binding rate coefficient.
abstract: An overview of fractal analysis is presented for analyte-receptor binding kinetics for different types of biosensor application. Data taken from the literature can be modelled by using (1) a single-fractal analysis, (2) a single- and a dual-fractal analysis, and (3) a dual-fractal analysis. Cases (2) and (3) represent a change in the binding mechanism as the reaction progresses on the surface. Predictive relationships developed for the binding rate coefficient as a function of the analyte concentration are of particular value because they provide a means by which the binding rate coefficients can be manipulated. Relationships are presented for the binding rate coefficients as a function of the fractal dimension, Df, or the degree of heterogeneity that exists on the surface. The binding rate coefficient is rather sensitive to the degree of heterogeneity, Df, that exists on the biosensor surface. For the examples analysed, the order of dependence of the binding rate coefficient on Df ranges from 1.4770 (k1), for the binding of intercalators and metabolites in solution to DNA immobilized at a positively charged surface, to 4.9434 for the binding of 5 nM nucleotide+GroEL in solution to GroES immobilized on a Ni2+-nitriloacetic acid sensor chip [Nieba, Nieba-Axmann, Persson, Hamalainen, Edebratt, Hansson, Lidholm, Magnusson, Karlsson and Pluckhun (1997) Anal. Biochem. 252, 217-228]. GroEl and GroES are two proteins (chaperones) which facilitate protein folding in the cell in an ATP-dependent manner [Hemmingson, Woolford, van der Vies, Tilly, Dennis, Georgopoulos, Henfrix and Ellis (1988) Nature (London) 333, 330-334]. The overview provides an overall analysis of the reaction parameters of importance observed and how they are influenced in antigen-antibody-binding kinetics for different biosensor applications. The predictive relationships presented provide further physical insights into the binding reactions on the surface, and should assist in enhancing biosensor performance. In general, the technique and the overview presented are applicable for the most part to other reactions occurring on different types of surface, for example cell-surface reactions.
authors.affiliation: Chemical Engineering Department, University of Mississippi, University, MS 38677-9740, USA.
authors.forename: A
authors.initials: A
authors.lastname: Ramakrishnan
authors.forename: A
authors.initials: A
authors.lastname: Sadana
mesh_terms: D000937:Antigen-Antibody Reactions / Q000502:physiology*; D015374:Biosensing Techniques; D002352:Carrier Proteins / Q000737:chemistry / Q000378:metabolism; D018834:Chaperonin 60 / Q000737:chemistry / Q000378:metabolism; D004247:DNA / Q000737:chemistry / Q000378:metabolism; D017709:Fractals; D007700:Kinetics; D058619:Maltose-Binding Proteins; D018448:Models, Immunological; D011485:Protein Binding; D012709:Serum Albumin / Q000737:chemistry / Q000378:metabolism; D013499:Surface Properties
chemical_list: D002352:Carrier Proteins; D018834:Chaperonin 60; D058619:Maltose-Binding Proteins; D012709:Serum Albumin; D004247:DNA