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Structural determination of Enzyme-Graphene Nanocomposite Sensor Material

State-of-the-art ultra-sensitive blood glucose-monitoring biosensors, based on glucose oxidase (GOx) covalently linked to a single layer graphene (SLG), will be a valuable next generation diagnostic tool for personal glycemic level management. We report here our observations of sensor matrix structu...

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Autores principales: Rai, Durgesh K., Gurusaran, Manickam, Urban, Volker, Aran, Kiana, Ma, Lulu, Li, Pingzuo, Qian, Shuo, Narayanan, Tharangattu N., Ajayan, Pulickel M., Liepmann, Dorian, Sekar, Kanagaraj, Álvarez-Cao, María-Efigenia, Escuder-Rodríguez, Juan-José, Cerdán, María-Esperanza, González-Siso, María-Isabel, Viswanathan, Sowmya, Paulmurugan, Ramasamy, Renugopalakrishnan, Venkatesan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820869/
https://www.ncbi.nlm.nih.gov/pubmed/31664095
http://dx.doi.org/10.1038/s41598-019-51882-7
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author Rai, Durgesh K.
Gurusaran, Manickam
Urban, Volker
Aran, Kiana
Ma, Lulu
Li, Pingzuo
Qian, Shuo
Narayanan, Tharangattu N.
Ajayan, Pulickel M.
Liepmann, Dorian
Sekar, Kanagaraj
Álvarez-Cao, María-Efigenia
Escuder-Rodríguez, Juan-José
Cerdán, María-Esperanza
González-Siso, María-Isabel
Viswanathan, Sowmya
Paulmurugan, Ramasamy
Renugopalakrishnan, Venkatesan
author_facet Rai, Durgesh K.
Gurusaran, Manickam
Urban, Volker
Aran, Kiana
Ma, Lulu
Li, Pingzuo
Qian, Shuo
Narayanan, Tharangattu N.
Ajayan, Pulickel M.
Liepmann, Dorian
Sekar, Kanagaraj
Álvarez-Cao, María-Efigenia
Escuder-Rodríguez, Juan-José
Cerdán, María-Esperanza
González-Siso, María-Isabel
Viswanathan, Sowmya
Paulmurugan, Ramasamy
Renugopalakrishnan, Venkatesan
author_sort Rai, Durgesh K.
collection PubMed
description State-of-the-art ultra-sensitive blood glucose-monitoring biosensors, based on glucose oxidase (GOx) covalently linked to a single layer graphene (SLG), will be a valuable next generation diagnostic tool for personal glycemic level management. We report here our observations of sensor matrix structure obtained using a multi-physics approach towards analysis of small-angle neutron scattering (SANS) on graphene-based biosensor functionalized with GOx under different pH conditions for various hierarchical GOx assemblies within SLG. We developed a methodology to separately extract the average shape of GOx molecules within the hierarchical assemblies. The modeling is able to resolve differences in the average GOx dimer structure and shows that treatment under different pH conditions lead to differences within the GOx at the dimer contact region with SLG. The coupling of different analysis methods and modeling approaches we developed in this study provides a universal approach to obtain detailed structural quantifications, for establishing robust structure-property relationships. This is an essential step to obtain an insight into the structure and function of the GOx-SLG interface for optimizing sensor performance.
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spelling pubmed-68208692019-11-04 Structural determination of Enzyme-Graphene Nanocomposite Sensor Material Rai, Durgesh K. Gurusaran, Manickam Urban, Volker Aran, Kiana Ma, Lulu Li, Pingzuo Qian, Shuo Narayanan, Tharangattu N. Ajayan, Pulickel M. Liepmann, Dorian Sekar, Kanagaraj Álvarez-Cao, María-Efigenia Escuder-Rodríguez, Juan-José Cerdán, María-Esperanza González-Siso, María-Isabel Viswanathan, Sowmya Paulmurugan, Ramasamy Renugopalakrishnan, Venkatesan Sci Rep Article State-of-the-art ultra-sensitive blood glucose-monitoring biosensors, based on glucose oxidase (GOx) covalently linked to a single layer graphene (SLG), will be a valuable next generation diagnostic tool for personal glycemic level management. We report here our observations of sensor matrix structure obtained using a multi-physics approach towards analysis of small-angle neutron scattering (SANS) on graphene-based biosensor functionalized with GOx under different pH conditions for various hierarchical GOx assemblies within SLG. We developed a methodology to separately extract the average shape of GOx molecules within the hierarchical assemblies. The modeling is able to resolve differences in the average GOx dimer structure and shows that treatment under different pH conditions lead to differences within the GOx at the dimer contact region with SLG. The coupling of different analysis methods and modeling approaches we developed in this study provides a universal approach to obtain detailed structural quantifications, for establishing robust structure-property relationships. This is an essential step to obtain an insight into the structure and function of the GOx-SLG interface for optimizing sensor performance. Nature Publishing Group UK 2019-10-29 /pmc/articles/PMC6820869/ /pubmed/31664095 http://dx.doi.org/10.1038/s41598-019-51882-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rai, Durgesh K.
Gurusaran, Manickam
Urban, Volker
Aran, Kiana
Ma, Lulu
Li, Pingzuo
Qian, Shuo
Narayanan, Tharangattu N.
Ajayan, Pulickel M.
Liepmann, Dorian
Sekar, Kanagaraj
Álvarez-Cao, María-Efigenia
Escuder-Rodríguez, Juan-José
Cerdán, María-Esperanza
González-Siso, María-Isabel
Viswanathan, Sowmya
Paulmurugan, Ramasamy
Renugopalakrishnan, Venkatesan
Structural determination of Enzyme-Graphene Nanocomposite Sensor Material
title Structural determination of Enzyme-Graphene Nanocomposite Sensor Material
title_full Structural determination of Enzyme-Graphene Nanocomposite Sensor Material
title_fullStr Structural determination of Enzyme-Graphene Nanocomposite Sensor Material
title_full_unstemmed Structural determination of Enzyme-Graphene Nanocomposite Sensor Material
title_short Structural determination of Enzyme-Graphene Nanocomposite Sensor Material
title_sort structural determination of enzyme-graphene nanocomposite sensor material
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820869/
https://www.ncbi.nlm.nih.gov/pubmed/31664095
http://dx.doi.org/10.1038/s41598-019-51882-7
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