Response surface modeling for the multifactorial synthesis of imprinted polyaniline
Victoria D. Gorlo, Pavel S. Pidenko, Natalia A. Burmistrova; Saratov State University, Saratov, Russia
Abstract
Polyaniline-based molecularly imprinted polymers (MIP) are promising materials for comprehensive food control test systems; however, optimization of their synthesis is complicated by the interdependence of numerous factors. In this work, a MIP simultaneously selective to ochratoxin A (OTA) and gliadin was developed using design of experiments (quercetin was used as a structural analogue of OTA at the synthesis stage).
A screening experiment allowed us to identify the significant synthesis factors (monomer choice, synthesis time, monomer and template concentrations) and to reduce their number for further optimization. Response surface modeling revealed the opposing effect of monomer concentration on the extraction of the two analytes; therefore, the composition of the polymerization mixture was optimized by means of the desirability function as a Pareto-optimal solution. The obtained material extracts OTA 370% more efficiently than the non-imprinted polymer (imprinting factor 3.7) and gliadin 220% more efficiently (imprinting factor 2.2).
The work was supported by Russian Science Foundation (Project 26-16-00194).
Speaker
Victoria Gorlo
Saratov State University
Russia
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