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Reference type: Journal
Authors: Tchinda R, Tutsch A, Schmid B, Süssmuth RD, Altintas Z
Article Title: Recognition of protein biomarkers using epitope-mediated molecularly imprinted films: Histidine or cysteine modified epitopes?
Publication date: 2019
Journal: Biosensors and Bioelectronics
Volume: 123
Page numbers: 260-268.
DOI: 10.1016/j.bios.2018.09.010
Alternative URL: http://www.sciencedirect.com/science/article/pii/S0956566318306973

Abstract: This research aims to engineer molecularly imprinted polymer (MIP)-based synthetic receptors for the molecular recognition of neuron specific enolase (NSE) biomarker. The synthetic peptide derived from the NSE was synthesized along with its cysteine and histidine modified versions. The modified peptides were utilized as templates for molecular imprinting, which was achieved by combination of epitope- and electrochemical surface imprinting strategy. The subsequently generated imprinted cavities were used for the detection of the NSE derived peptide and NSE. The imprints created with cysteine (CME) and histidine modified epitopes (HME) could detect the peptide in a concentration range of 2-128 μM and 15.6 nM to 128 μM, respectively. The recognition of NSE was achieved by the same imprints in a linear range of 1-64 ng mL-1 (CME) and 0.25-64 ng mL-1 (HME), respectively. The target molecules bound to the control polymer very weakly, confirming the high selectivity of the MIP cavities. Selectivity studies resulted in imprinting factors of 8.8 and 11 for the CME and HME imprints, respectively. The affinity analyses provided dissociation constants of 2.3 x 10-10 M and 3 x 10-11 M for NSE recognition using the corresponding epitope imprints. Cross-reactivity studies with non-specific molecules proved high specificity of the artificial receptors for the targets
Template and target information: peptide, epitope, neuron specific enolase biomarker, NSE
Author keywords: Cysteine modified epitope imprinting, Histidine modified epitope imprinting, Neuron specific enolase, Cancer biomarker, Electrochemical sensor, protein recognition


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