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Raman Computational and Experimental Studies of Dopamine Detection

A combined theoretical and experimental analysis of dopamine (DA) is presented in this work with the objective of achieving more accurate detection and monitoring of this neurotransmitter at very low concentrations, specific to physiological levels. Surface-enhanced Raman spectroscopy on silver nano...

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Autores principales: Ciubuc, John D., Bennet, Kevin E., Qiu, Chao, Alonzo, Matthew, Durrer, William G., Manciu, Felicia S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746766/
https://www.ncbi.nlm.nih.gov/pubmed/28956820
http://dx.doi.org/10.3390/bios7040043
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author Ciubuc, John D.
Bennet, Kevin E.
Qiu, Chao
Alonzo, Matthew
Durrer, William G.
Manciu, Felicia S.
author_facet Ciubuc, John D.
Bennet, Kevin E.
Qiu, Chao
Alonzo, Matthew
Durrer, William G.
Manciu, Felicia S.
author_sort Ciubuc, John D.
collection PubMed
description A combined theoretical and experimental analysis of dopamine (DA) is presented in this work with the objective of achieving more accurate detection and monitoring of this neurotransmitter at very low concentrations, specific to physiological levels. Surface-enhanced Raman spectroscopy on silver nanoparticles was employed for recording DA concentrations as low as 10(−11) molar. Quantum chemical density functional calculations were carried out using Gaussian-09 analytical suite software. Relatively good agreement between the simulated and experimentally determined results indicates the presence of different DA molecular forms, such as uncharged DA(±), anionic DA(−), and dopaminequinone. Disappearance of the strongest bands of dopamine around 750 cm(−1) and 790 cm(−1), which suggests its adsorption onto the metallic surface, is not only consistent with all of these DA configurations, but also provides additional information about the analyte’s redox process and voltammetric detection. On the other hand, occurrence of the abovementioned Raman lines could indicate the formation of multilayers of DA or its presence in a cationic DA(+) form. Thus, through coordinated experiment and theory, valuable insights into changes observed in the vibrational signatures of this important neurotransmitter can be achieved for a better understanding of its detection at physiological levels, which is crucial if further optovoltammetric medical device development is envisioned.
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spelling pubmed-57467662018-01-03 Raman Computational and Experimental Studies of Dopamine Detection Ciubuc, John D. Bennet, Kevin E. Qiu, Chao Alonzo, Matthew Durrer, William G. Manciu, Felicia S. Biosensors (Basel) Article A combined theoretical and experimental analysis of dopamine (DA) is presented in this work with the objective of achieving more accurate detection and monitoring of this neurotransmitter at very low concentrations, specific to physiological levels. Surface-enhanced Raman spectroscopy on silver nanoparticles was employed for recording DA concentrations as low as 10(−11) molar. Quantum chemical density functional calculations were carried out using Gaussian-09 analytical suite software. Relatively good agreement between the simulated and experimentally determined results indicates the presence of different DA molecular forms, such as uncharged DA(±), anionic DA(−), and dopaminequinone. Disappearance of the strongest bands of dopamine around 750 cm(−1) and 790 cm(−1), which suggests its adsorption onto the metallic surface, is not only consistent with all of these DA configurations, but also provides additional information about the analyte’s redox process and voltammetric detection. On the other hand, occurrence of the abovementioned Raman lines could indicate the formation of multilayers of DA or its presence in a cationic DA(+) form. Thus, through coordinated experiment and theory, valuable insights into changes observed in the vibrational signatures of this important neurotransmitter can be achieved for a better understanding of its detection at physiological levels, which is crucial if further optovoltammetric medical device development is envisioned. MDPI 2017-09-28 /pmc/articles/PMC5746766/ /pubmed/28956820 http://dx.doi.org/10.3390/bios7040043 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ciubuc, John D.
Bennet, Kevin E.
Qiu, Chao
Alonzo, Matthew
Durrer, William G.
Manciu, Felicia S.
Raman Computational and Experimental Studies of Dopamine Detection
title Raman Computational and Experimental Studies of Dopamine Detection
title_full Raman Computational and Experimental Studies of Dopamine Detection
title_fullStr Raman Computational and Experimental Studies of Dopamine Detection
title_full_unstemmed Raman Computational and Experimental Studies of Dopamine Detection
title_short Raman Computational and Experimental Studies of Dopamine Detection
title_sort raman computational and experimental studies of dopamine detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746766/
https://www.ncbi.nlm.nih.gov/pubmed/28956820
http://dx.doi.org/10.3390/bios7040043
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