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Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 7, p e0254594 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science, 2021.
-
Abstract
- 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.
- Subjects :
- Adenosine
Computer science
Dopamine
Glycobiology
Amperometry
02 engineering and technology
01 natural sciences
Biochemistry
Norepinephrine
Catecholamines
Medicine and Health Sciences
Amines
Neurotransmitter Agents
Multidisciplinary
Organic Compounds
Chemical Reactions
Neurochemistry
Nucleosides
Visual identification
Neurotransmitters
021001 nanoscience & nanotechnology
Serotonin metabolism
Glycosylamines
Chemistry
Bioassays and Physiological Analysis
Physical Sciences
Medicine
0210 nano-technology
Biological system
Oxidation-Reduction
Research Article
Analyte
Biogenic Amines
Serotonin
Epinephrine
Science
Fast-scan cyclic voltammetry
Surgical and Invasive Medical Procedures
010402 general chemistry
Research and Analysis Methods
Oxidation
Animals
Humans
Dopamine metabolism
Bioelectrochemical Analysis
Functional Electrical Stimulation
Extramural
Organic Chemistry
Chemical Compounds
Biology and Life Sciences
Oxidation reduction
Electrochemical Techniques
Hormones
0104 chemical sciences
Rats
Sources of error
Biochemical Analysis
Microelectrodes
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....e55a6f62ab2aad05853fc5e0bd085518