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. Author manuscript; available in PMC: 2020 Apr 17.
Published in final edited form as: ACS Chem Neurosci. 2019 Mar 28;10(4):1872–1874. doi: 10.1021/acschemneuro.9b00157

Figure 1.

Figure 1.

Shifts in the oxidation and reduction peaks between dopamine (DA) and norepinephrine (NE) may allow for supervised machine learning to distinguish the catecholamines. A) Cyclic voltammogram of equal concentrations of dopamine (black) and norepinephrine (blue) from the same carbon fiber electrode in a flow cell. Hash lines indicate potential at peaks. B) Quantification of cathodic shift in potential at peak of dopamine and norepinephrine samples. C) Differential sensitivity to catecholamines across concentrations.

*** p<0.001; **** p<0.0001.