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Detection and Monitoring of Neurotransmitters—A Spectroscopic Analysis
Article first published online: 18 SEP 2012
© 2012 International Neuromodulation Society
Neuromodulation: Technology at the Neural Interface
Volume 16, Issue 3, pages 192–199, May/June 2013
How to Cite
Manciu, F. S., Lee, K. H., Durrer, W. G. and Bennet, K. E. (2013), Detection and Monitoring of Neurotransmitters—A Spectroscopic Analysis. Neuromodulation: Technology at the Neural Interface, 16: 192–199. doi: 10.1111/j.1525-1403.2012.00502.x
Conflict of Interest: The authors reported no conflict of interest.
- Issue published online: 4 JUN 2013
- Article first published online: 18 SEP 2012
- Received: May 17, 2012 Accepted: July 14, 2012
- Basic science;
- Raman spectroscopy
Objectives: We demonstrate that confocal Raman mapping spectroscopy provides rapid, detailed, and accurate neurotransmitter analysis, enabling millisecond time resolution monitoring of biochemical dynamics. As a prototypical demonstration of the power of the method, we present real-time in vitro serotonin, adenosine, and dopamine detection, and dopamine diffusion in an inhomogeneous organic gel, which was used as a substitute for neurologic tissue.
Materials and Methods: Dopamine, adenosine, and serotonin were used to prepare neurotransmitter solutions in distilled water. The solutions were applied to the surfaces of glass slides, where they interdiffused. Raman mapping was achieved by detecting nonoverlapping spectral signatures characteristic of the neurotransmitters with an alpha 300 WITec confocal Raman system, using 532 nm neodymium-doped yttrium aluminum garnet laser excitation. Every local Raman spectrum was recorded in milliseconds and complete Raman mapping in a few seconds.
Results: Without damage, dyeing, or preferential sample preparation, confocal Raman mapping provided positive detection of each neurotransmitter, allowing association of the high-resolution spectra with specific microscale image regions. Such information is particularly important for complex, heterogeneous samples, where changes in composition can influence neurotransmission processes. We also report an estimated dopamine diffusion coefficient two orders of magnitude smaller than that calculated by the flow-injection method.
Conclusions: Accurate nondestructive characterization for real-time detection of neurotransmitters in inhomogeneous environments without the requirement of sample labeling is a key issue in neuroscience. Our work demonstrates the capabilities of Raman spectroscopy in biological applications, possibly providing a new tool for elucidating the mechanism and kinetics of deep brain stimulation.