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Polymer Brush–GaAs Interface and Its Use as an Antibody-Compatible Platform for Biosensing
[Image: see text] Despite evidence showing that polymer brushes (PBs) are a powerful tool used in biosensing for minimizing nonspecific interactions, allowing for optimization of biosensing performance, and the fact that GaAs semiconductors have proven to have a remarkable potential for sensitive bi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992090/ https://www.ncbi.nlm.nih.gov/pubmed/33778243 http://dx.doi.org/10.1021/acsomega.0c04954 |
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author | Marquez, Daniela T. Chawich, Juliana Hassen, Walid M. Moumanis, Khalid DeRosa, Maria C. Dubowski, Jan J. |
author_facet | Marquez, Daniela T. Chawich, Juliana Hassen, Walid M. Moumanis, Khalid DeRosa, Maria C. Dubowski, Jan J. |
author_sort | Marquez, Daniela T. |
collection | PubMed |
description | [Image: see text] Despite evidence showing that polymer brushes (PBs) are a powerful tool used in biosensing for minimizing nonspecific interactions, allowing for optimization of biosensing performance, and the fact that GaAs semiconductors have proven to have a remarkable potential for sensitive biomolecule detection, the combination of these two robust components has never been considered nor evaluated as a platform for biosensing applications. This work reports different methodologies to prepare and tune PBs on the GaAs interface (PB–GaAs) and their potential as useful platforms for antibody grafting, with the ultimate goal of demonstrating the innovative and attractive character of the PB–GaAs interfaces in the enhanced capture of antibodies and control of nonspecific interactions. Three different functionalization approaches were explored, one “grafting-to” and two “grafting-from,” in which atom transfer radical polymerization (ATRP) was performed, followed by their corresponding characterizations. Demonstration of the compatibility of Escherichia coli (E. coli) and Legionella pneumophila (Lp) antibodies with the PB–GaAs platform compared to the results obtained with conventional biosensing architectures developed for GaAs indicates the attractive potential for operation of a sensitive biosensor. Furthermore, these results showed that by carefully choosing the nature and preparation methodology of a PB–GaAs interface, it is possible to effectively tune the affinity of PB–GaAs-based sensors toward E. coli and Lp antibodies ultimately demonstrating the superior specificity of the developed biosensing platform. |
format | Online Article Text |
id | pubmed-7992090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-79920902021-03-26 Polymer Brush–GaAs Interface and Its Use as an Antibody-Compatible Platform for Biosensing Marquez, Daniela T. Chawich, Juliana Hassen, Walid M. Moumanis, Khalid DeRosa, Maria C. Dubowski, Jan J. ACS Omega [Image: see text] Despite evidence showing that polymer brushes (PBs) are a powerful tool used in biosensing for minimizing nonspecific interactions, allowing for optimization of biosensing performance, and the fact that GaAs semiconductors have proven to have a remarkable potential for sensitive biomolecule detection, the combination of these two robust components has never been considered nor evaluated as a platform for biosensing applications. This work reports different methodologies to prepare and tune PBs on the GaAs interface (PB–GaAs) and their potential as useful platforms for antibody grafting, with the ultimate goal of demonstrating the innovative and attractive character of the PB–GaAs interfaces in the enhanced capture of antibodies and control of nonspecific interactions. Three different functionalization approaches were explored, one “grafting-to” and two “grafting-from,” in which atom transfer radical polymerization (ATRP) was performed, followed by their corresponding characterizations. Demonstration of the compatibility of Escherichia coli (E. coli) and Legionella pneumophila (Lp) antibodies with the PB–GaAs platform compared to the results obtained with conventional biosensing architectures developed for GaAs indicates the attractive potential for operation of a sensitive biosensor. Furthermore, these results showed that by carefully choosing the nature and preparation methodology of a PB–GaAs interface, it is possible to effectively tune the affinity of PB–GaAs-based sensors toward E. coli and Lp antibodies ultimately demonstrating the superior specificity of the developed biosensing platform. American Chemical Society 2021-03-12 /pmc/articles/PMC7992090/ /pubmed/33778243 http://dx.doi.org/10.1021/acsomega.0c04954 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Marquez, Daniela T. Chawich, Juliana Hassen, Walid M. Moumanis, Khalid DeRosa, Maria C. Dubowski, Jan J. Polymer Brush–GaAs Interface and Its Use as an Antibody-Compatible Platform for Biosensing |
title | Polymer Brush–GaAs Interface and Its Use as
an Antibody-Compatible Platform for Biosensing |
title_full | Polymer Brush–GaAs Interface and Its Use as
an Antibody-Compatible Platform for Biosensing |
title_fullStr | Polymer Brush–GaAs Interface and Its Use as
an Antibody-Compatible Platform for Biosensing |
title_full_unstemmed | Polymer Brush–GaAs Interface and Its Use as
an Antibody-Compatible Platform for Biosensing |
title_short | Polymer Brush–GaAs Interface and Its Use as
an Antibody-Compatible Platform for Biosensing |
title_sort | polymer brush–gaas interface and its use as
an antibody-compatible platform for biosensing |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992090/ https://www.ncbi.nlm.nih.gov/pubmed/33778243 http://dx.doi.org/10.1021/acsomega.0c04954 |
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