文章基本信息

标题：Raman Computational and Experimental Studies of Dopamine Detection
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作者：John D. Ciubuc ; Kevin E. Bennet ; Chao Qiu 等
期刊名称：Biosensors
电子版ISSN：2079-6374
出版年度：2017
卷号：7
期号：4
页码：43
DOI：10.3390/bios7040043
语种：English
出版社：MDPI Publishing
摘要：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.
关键词：dopamine detection; label-free; surface-enhanced Raman spectroscopy; physiological levels; biosensors; computer simulation; silver nanocolloids dopamine detection ; label-free ; surface-enhanced Raman spectroscopy ; physiological levels ; biosensors ; computer simulation ; silver nanocolloids