Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783289162875535360 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5746766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ciubucjohnd ramancomputationalandexperimentalstudiesofdopaminedetection AT bennetkevine ramancomputationalandexperimentalstudiesofdopaminedetection AT qiuchao ramancomputationalandexperimentalstudiesofdopaminedetection AT alonzomatthew ramancomputationalandexperimentalstudiesofdopaminedetection AT durrerwilliamg ramancomputationalandexperimentalstudiesofdopaminedetection AT manciufelicias ramancomputationalandexperimentalstudiesofdopaminedetection |