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Reference type: Journal
Authors: Shumyantseva VV, Bulko TV, Sigolaeva LV, Kuzikov AV, Pogodin PV, Archakov AI
Article Title: Molecular imprinting coupled with electrochemical analysis for plasma samples classification in acute myocardial infarction diagnostic.
Publication date: 2018
Journal: Biosensors and Bioelectronics
Volume: 99
Page numbers: 216-222.
DOI: 10.1016/j.bios.2017.07.026
Alternative URL: http://www.sciencedirect.com/science/article/pii/S0956566317304724

Abstract: Electroanalysis of myoglobin (Mb) in 10 plasma samples of healthy donors (HDs) and 14 plasma samples of patients with acute myocardial infarction (AMI) was carried out with screen-printed electrodes modified first with multi-walled carbon nanotubes (MWCNT) and then with a molecularly imprinted polymer film (MIP), viz., myoglobin-imprinted electropolymerized poly(o-phenylenediamine). The differential pulse voltammetry (DPV) parameters, such as a maximum amplitude of reduction peak current (A, nA), a reduction peak area (S, nA x V), and a peak potential (P, V), were measured for the MWCNT/MIP-sensors after their incubation with non-diluted plasma. The relevance of the multi-parameter electrochemical data for accurate discrimination between HDs and patients with AMI was assessed on the basis of electrochemical threshold values (this requires the reference standard method (RAMP® immunoassay)) or alternatively on the basis of the computational cluster assay (this does not require any reference standard method). The multi-parameter electrochemical analysis of biosamples combined with computational cluster assay was found to provide better accuracy in classification of plasma samples to the groups of HDs or AMI patients
Template and target information: protein, myoglobin, Mb
Author keywords: Molecularly imprinted polymers, myoglobin, Poly(-phenylenediamine), electropolymerization, Cluster assay, Plasma sample classification

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