Design and Development of In Vivo Sensor Systems: The Long and Tortured Road to a Self-Contained, Implantable Glucose Sensor for Diabetes Management - Designing Receptors for the Next Generation of Biosensors - page 223

Fig. 8 Keq interaction graph. Comparison of DBA-to-glucose binding affinity ( X -axis) versus
DBA-to-diol binding affinity ( Y -axis)
values for a DBA:glucose and DBA:diol pair differed in magnitude, that particular
DBA:diol pair was either eliminated or included as a lead pair in further glucose
competition assay screening experiments.
Our libraries of DBA and diol compounds were systematically evaluated for Keq
under conditions (ionic species, pH, etc.) that resembled those of an in vivo environ-
ment. This data system was designed as a guide to rapidly compare relative binding
affinities of a large number of DBA and diol species before committing to diol
immobilization as an iDIOL environment and subsequent DBA:glucose:iDIOL sur-
face competition screening. Significantly, data extrapolated from the Keq interaction
graph streamlined our efforts in estimating how each DBA:iDIOL combination would
respond to glucose.
6 Glucose Competition Binding Assay
Glucose competition was next assessed using a format more closely related to the
format that will eventually be used in the final device. Previously selected diols that
demonstrated a range of Keq values with several of the DBAs relative to glucose
were covalently immobilized on glass supports as iDIOL environments. A series of
mixtures that contained a fixed concentration of fluorescently labeled DBA with
varying concentrations of glucose, including the concentration range encompassing