Raman Computational and Experimental Studies of Dopamine Detection
AbstractA 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. View Full-Text
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Ciubuc, J.D.; Bennet, K.E.; Qiu, C.; Alonzo, M.; Durrer, W.G.; Manciu, F.S. Raman Computational and Experimental Studies of Dopamine Detection. Biosensors 2017, 7, 43.
Ciubuc JD, Bennet KE, Qiu C, Alonzo M, Durrer WG, Manciu FS. Raman Computational and Experimental Studies of Dopamine Detection. Biosensors. 2017; 7(4):43.Chicago/Turabian Style
Ciubuc, John D.; Bennet, Kevin E.; Qiu, Chao; Alonzo, Matthew; Durrer, William G.; Manciu, Felicia S. 2017. "Raman Computational and Experimental Studies of Dopamine Detection." Biosensors 7, no. 4: 43.
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