Data · collection · 2015
Assessment of Amino Acid Neurotransmitters in Rat Brain Microdialysis Samples by High-Performance Liquid Chromatography with Coulometric Detection
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A simple method was developed for simultaneous determination of five amino acid neurotransmitters (taurine, glutamate, aspartate, glycine, and γ-aminobutyric acid) in brain microdialysates by high-performance liquid chromatography with coulometric detection.
Description
The microdialysates were derivatized with o -phthalaldehyde in 5 mM sodium sulfite and separated within 17 min using isocratic elution. Detection parameters for these transmitters were linearity ( r 2 ) > 0.999 over the concentration range from 0.1 to 15.00 µM (0.01–1.00 µM for GABA); reproducibility 2.88%–11.67% (relative standard deviation); the limits of detection 4.4–17.2 fmol; and recovery 86.66%–103.42%.
This method was successfully applied to analyze these neurotransmitters in the brain. The changes of neurotransmitters were also investigated via local administration of potassium chloride and bicuculline, which was a γ-aminobutyric acid receptor antagonist. It was found that the developed method is more efficient as compared to previously reported methods in simultaneously determining five major neurotransmitters because it shows quick separation and sensitive detection, and is easy to operate.
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This method can be a practical choice for continuous monitoring of the amino acid neurotransmitters in vivo .
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- Repository landing page tandf.figshare.com/collections/Assessment_of_Amino_Acid_Neurotransmitters_in_Rat_… ↗
landing page · from DataCite
- Repository landing page tandf.figshare.com/collections/Assessment_of_Amino_Acid_Neurotransmitters_in_Rat_… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.2064365 ↗
DOI / persistent id · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.2064365.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 4
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.2064365.v1 ↗
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- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.2064365 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.2064365.v1 ↗
catalogue entry · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.2064365 ↗
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Topics
- Stated by source
- Biological sciences · Biological sciences · Clinical medicine · Clinical medicine · Sociology · Sociology
- From keywords
- Chemistry · Chemistry · Engineering · Engineering · Life Sciences · Life Sciences · Social Science · Social Science
Provenance · 2 source records, 21 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.2064365 | 14 d ago | JSON v1 |
| DataCite | 10.6084/m9.figshare.c.2064365.v1 | 14 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:clinical-medicine | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:clinical-medicine | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:sociology | source · DataCite | connector:datacite@1.0.0 | |
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| concepts[field].local:field:chemistry | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Chemistry'] |
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| concepts[field].local:field:engineering | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Engineering'] |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| concepts[field].local:field:social-science | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
| concepts[field].local:field:social-science | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
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