Development of liquid crystal biosensor for the detection of amyloid beta-42 levels associated with Alzheimer's disease
Autor: | Gonen Ozsarlak-Sozer, Ebru Busra Tuncgovde, Emine Kemiklioglu |
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Rok vydání: | 2021 |
Předmět: |
Apolipoprotein E4
Apolipoprotein-E Amplification Bioengineering Peptide Biosensing Techniques Applied Microbiology and Biotechnology Amyloid Beta 42 Aggregation chemistry.chemical_compound DMOAP coating Alzheimer Disease Liquid crystal Diagnosis Amyloid beta-42 Humans Apolipoprotein e4 chemistry.chemical_classification Amyloid beta-Peptides Chromatography biology Protein Biomarker Peptide Fragments Liquid Crystals Surfaces chemistry biology.protein Ammonium chloride Antibody Peptides Biosensor Liquid crystal biosensor Biotechnology |
Zdroj: | Journal of Bioscience and Bioengineering. 132:88-94 |
ISSN: | 1389-1723 |
Popis: | This study represents the development of a biosensor which is based on the liquid crystal (LC) orientation as a function of the peptide concentration to detect an amyloid-beta-42 (A beta 42) antibody-antigen binding events. The A beta 42 peptide binds to the A beta 42 antibody forming an immunocomplex which is immobilized on the Dimethyloctadecyl[3-(trimethoxysilyl)propyl] ammonium chloride (DMOAP) coated surface. The disturbed orientation of LCs as a result of the binding of the formed immunocomplex was observed using the polarized optical microscope (POM) as a function of decreasing A beta 42 peptide concentration from 1000 to 1 pg/ml. The concentration, as low as 1 pg/ml of A beta 42 peptide was able to be successfully detected in our system. Apolipoprotein E4 (ApoE4), that specifically bound to the A beta 42 peptide, was added into the system and a remarkable change in reflection spectra of samples was observed with increasing A beta 42 peptide concentration. The concentration of ApoE4 protein was detected in the range of 0.1-30 nM by this system due to the interaction between the two proteins. (C) 2021, The Society for Biotechnology, Japan. All rights reserved. Scientific Research Project Office of Manisa Celal Bayar University [2019-055] This project was financially supported by Scientific Research Project Office of Manisa Celal Bayar University under grant number 2019-055. |
Databáze: | OpenAIRE |
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