Open AccessIntegral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters
Author(s) -
Leonardo Espín,
Jennifer Anders,
James K. Trevathan,
Kip A. Ludwig,
J. Luis Luján
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0254594
Subject(s) - computer science , biological system , selection (genetic algorithm) , cyclic voltammetry , analyte , chemistry , data mining , electrochemistry , artificial intelligence , chromatography , biology , electrode
Modern techniques for estimating basal levels of electroactive neurotransmitters rely on the measurement of oxidative charges. This requires time integration of oxidation currents at certain intervals. Unfortunately, the selection of integration intervals relies on ad-hoc visual identification of peaks on the oxidation currents, which introduces sources of error and precludes the development of automated procedures necessary for analysis and quantification of neurotransmitter levels in large data sets. In an effort to improve charge quantification techniques, here we present novel methods for automatic selection of integration boundaries. Our results show that these methods allow quantification of oxidation reactions both in vitro and in vivo and of multiple analytes in vitro .