Smart naturally plastic antibody based on poly(α-cyclodextrin) polymer for β-amyloid-42 soluble oligomer detection

This work introduces new developments into the conventional protocol of protein imprinting. It uses as principle that when the polymeric matrix is made from native building blocks in nature (amino acids, sugars, lipids or nucleic acids), conformational changes of the template protein during the polymer synthesis may be avoided or limited. Thus, the polymeric film around the protein is build-up with biomolecules that co-exist with the protein in nature. This approach is named herein as BIOPLAST, in an analogy to a Plastic material made from biological building blocks. This concept was tested herein by employing a sugar monomer (alpha-Cyclodextrin, alpha-Cd) to target a peptide biomarker (beta-Amyloid-42, A beta-42) that is relevant in Alzheimer disease. The BIOPLAST-based biosensor consisted of a screen-printed electrode (SPE) having an Au-working electrode area coated with a polyaniline (PANI) film and subsequently modified by the plastic antibody (MCd/PANI/Au-SPE). The plastic antibody was assembled by electropolymerizing alpha Cd in the presence of A beta-42 and the peptide molecules entrapped in the polymer film were removed by acidic action. Analysis by Atomic Force Microscopy, and Fourier Transformed Infrared and Raman spectroscopies confirmed the surface modification. The ability of the BIOPLAST film to rebind A beta-42 was followed by electrochemical impedance spectroscopy (EIS) and square wave voltammetry (SWV), and compared to a control film without plastic antibody (NCd/PANI/Au-SPE). The MCd/PANI/Au-SPE devices displayed linear responses and limit of detection to A beta-42 in EIS and SWV assays, down to 0.25 ng/mL and 0.20 ng/mL respectively. The dissociation constant between the BIOPLAST and A beta-42 were 0.2 +/- 0.5 ng/mL (1.8 +/- 0.5 for the control material). MCd/PANI/Au-SPE materials assembled on screen-printed electrodes showed great promising features, regarding its possible application in point-of-care. (C) 2016 Elsevier B.V. All rights reserved.