Modeling Approaches for Optoelectronic Enzymatic Biosensors

Optoelectronic enzymatic biosensors are a next generation biosensing technology that have been adroitly applied to sensing environmental contaminants such as dichloroethane (DCA). As environmental biosensing technology moves towards efficient in situ measurement methods, emphasis is focused not only on novel stratagems but also on iterative experimental result based modeling that ameliorates the technology and provides guidance for further technical inquiry. We have applied predictor response methodology, first principle chemical engineering analysis, and mechanistic approaches to characterize observed sensing signals. The results we present were obtained with an immobilized E. coli pGELAF+ biocomponent, used to sense DCA.