@article{calhoun_meunier_lee_mccarty_sombers_2018, title={Characterization of a Multiple-Scan-Rate Voltammetric Waveform for Real-Time Detection of Met-Enkephalin}, volume={10}, ISSN={1948-7193 1948-7193}, url={http://dx.doi.org/10.1021/acschemneuro.8b00351}, DOI={10.1021/acschemneuro.8b00351}, abstractNote={Opioid peptides are critically involved in a variety of physiological functions necessary for adaptation and survival, and as such, understanding the precise actions of endogenous opioid peptides will aid in identification of potential therapeutic strategies to treat a variety of disorders. However, few analytical tools are currently available that offer both the sensitivity and spatial resolution required to monitor peptidergic concentration fluctuations in situ on a time scale commensurate with that of neuronal communication. Our group has developed a multiple-scan-rate waveform to enable real-time voltammetric detection of tyrosine containing neuropeptides. Herein, we have evaluated the waveform parameters to increase sensitivity to methionine-enkephalin (M-ENK), an endogenous opioid neuropeptide implicated in pain, stress, and reward circuits. M-ENK dynamics were monitored in adrenal gland tissue, as well as in the dorsal striatum of anesthetized and freely behaving animals. The data reveal cofluctuations of catecholamine and M-ENK in both locations and provide measurements of M-ENK dynamics in the brain with subsecond temporal resolution. Importantly, this work also demonstrates how voltammetric waveforms can be customized to enhance detection of specific target analytes, broadly speaking.}, number={4}, journal={ACS Chemical Neuroscience}, publisher={American Chemical Society (ACS)}, author={Calhoun, S. E. and Meunier, C. J. and Lee, C. A. and McCarty, G. S. and Sombers, L. A.}, year={2018}, month={Dec}, pages={2022–2032} }