title: Theoretical analysis of the performance of glucose sensors with layer-by-layer assembled outer membranes.
abstract: The performance of implantable electrochemical glucose sensors is highly dependent on the flux-limiting (glucose, H(2)O(2), O(2)) properties of their outer membranes. A careful understanding of the diffusion profiles of the participating species throughout the sensor architecture (enzyme and membrane layer) plays a crucial role in designing a robust sensor for both in vitro and in vivo operation. This paper reports the results from the mathematical modeling of Clark's first generation amperometric glucose sensor coated with layer-by-layer assembled outer membranes in order to obtain and compare the diffusion profiles of various participating species and their effect on sensor performance. Devices coated with highly glucose permeable (HAs/Fe(3+)) membranes were compared with devices coated with PSS/PDDA membranes, which have an order of magnitude lower permeability. The simulation showed that the low glucose permeable membrane (PSS/PDDA) sensors exhibited a 27% higher amperometric response than the high glucose permeable (HAs/Fe(3+)) sensors. Upon closer inspection of H(2)O(2)diffusion profiles, this non-typical higher response from PSS/PDDA is not due to either a larger glucose flux or comparatively larger O(2) concentrations within the sensor geometry, but rather is attributed to a 48% higher H(2)O(2) concentration in the glucose oxidase enzyme layer of PSS/PDDA coated sensors as compared to HAs/Fe(3+) coated ones. These simulated results corroborate our experimental findings reported previously. The high concentration of H(2)O(2) in the PSS/PDDA coated sensors is due to the low permeability of H(2)O(2) through the PSS/PDDA membrane, which also led to an undesired increase in sensor response time. Additionally, it was found that this phenomenon occurs for all enzyme thicknesses investigated (15, 20 and 25 nm), signifying the need for a holistic approach in designing outer membranes for amperometric biosensors.
authors.affiliation: Electrical and Computer Engineering, University of Connecticut, 371 Fairfield Way, Storrs, CT 06269, USA. rjc03001@engr.uconn.edu
authors.forename: Robert A
authors.initials: RA
authors.lastname: Croce
authors.forename: Santhisagar
authors.initials: S
authors.lastname: Vaddiraju
authors.forename: Fotios
authors.initials: F
authors.lastname: Papadimitrakopoulos
authors.forename: Faquir C
authors.initials: FC
authors.lastname: Jain
mesh_terms: D015374:Biosensing Techniques / Q000295:instrumentation*; D020099:Coated Materials, Biocompatible / Q000737:chemistry*; D004567:Electrodes, Implanted; D005947:Glucose / Q000032:analysis*; D006801:Humans; D015918:Infusion Pumps, Implantable; D007332:Insulin Infusion Systems; D008567:Membranes, Artificial; D008962:Models, Theoretical
chemical_list: D020099:Coated Materials, Biocompatible; D008567:Membranes, Artificial; D005947:Glucose