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.

Fiber-Optic Chemical Sensors and Biosensors (2015–2019)

“…The assay has a sensitivity of 5.14 nm/mM of cholesterol, and the limit of detection is rather high (1.1 mM). Jensen and co-workers describe an enzymatic FOBS using unmodified Escherichia coli BL21 (DE3) pGELAF+ for sensing the pollutant 1,2-dichloroethane (1,2-DCE). A pH optode was used as the signal transducer because 1,2-DCE is decomposed under formation of acid.…”