I have been using FSCVA for assessing fast dopamine fluctuations of dopamine in the rats brain in vivo. It would be good to analyse the same recordins or new ones on dopamin changes within minutes and hours. But changes in baseline currents and other factors influence the picture. I know the whole accepted way is the principal component regression. But it is too comlex for me to make it in practice. And I do not need absolute concentrations of dopamine, just changes. Are there any ather techniques, perhaps more simple? Or are there free soft for principal component regression?
Hello,
Please look at the approach developed by Heien (e.g. Chem Commun (Camb). 2015 Feb 11; 51(12): 2235–2238. doi: 10.1039/c4cc06165a or google: "fast-scan controlled-adsorption voltammetry" ) and Blaha (DOI: 10.1021/acs.analchem.6b02605 Anal. Chem. 2016, 88, 10962−10970). Both methods require modification of Vappl. The FSCAV I tested and got positive results even without PCR. Note that in my opinion a solid pharmacology with a selective (in terms of DA/metabolites) compounds should be used by several labs before these methods may be considered as "established".
Regards,
Leonid
Dear Leonid,
Thank you for your answer! The techniques of Blanda and Heien is interesting. But they are not suitable for analyzing the records that we already have.
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