title: Predictor-Response Analysis of Fiber Optic Enzymatic Biosensors Constructed with Nonmodified E. coli BL21 (DE3) pGELAF+ Sensing 1,2-Dichloroethane.
abstract: Biosensor technology can lack methods to iteratively validate system outputs (i.e., signals) concomitantly with the development of mathematical models. We evaluated a nonmodified fiber optic enzymatic biosensor (FOEB-Escherichia coli BL21 (DE3) pGELAF+) sensing dichloroethane with a predictor-response statistical form. The linear regression technique applied with MATLAB functions correlated FOEB parameters to sensing responses that could be used to identify system characteristics and interactions. A FOEB specific metric (i.e. normalized sensitivity) is shown to be significant as a mixed sensing correlation metric suggesting that similar development parameters could be related to engineering design paradigms for biosensor (or whole cell biosensor) systems.
authors.affiliation: Chemical and Biological Engineering, Colorado State University, Ft. Collins, CO, USA, cory.jensen@alumni.colostate.edu.
authors.forename: Cory D
authors.initials: CD
authors.lastname: Jensen
authors.forename: Cord
authors.initials: C
authors.lastname: Müeller
mesh_terms: D000464:Alginates / Q000737:chemistry; D015374:Biosensing Techniques / Q000295:instrumentation / Q000379:methods*; D004926:Escherichia coli / Q000737:chemistry / Q000201:enzymology*; D005025:Ethylene Dichlorides / Q000032:analysis*; D005336:Fiber Optic Technology / Q000295:instrumentation / Q000379:methods*; D005452:Fluoresceins / Q000737:chemistry; D020723:Glucuronic Acid / Q000737:chemistry; D006603:Hexuronic Acids / Q000737:chemistry; D006863:Hydrogen-Ion Concentration; D016014:Linear Models; D012680:Sensitivity and Specificity
chemical_list: D000464:Alginates; D005025:Ethylene Dichlorides; D005452:Fluoresceins; D006603:Hexuronic Acids; C024565:ethylene dichloride; D020723:Glucuronic Acid