ArticleElectrophoresis2015
Microchip electrophoresis with electrochemical detection for the determination of analytes in the dopamine metabolic pathway.
Article in Electrophoresis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Nanopore-enabled time-resolved monitoring of catecholamine-related phenylalanine metabolism.Nature nanotechnology · 2026Article
- PolyJet Three-dimensional-Printed Microchip Devices With Integrated Carbon Electrodes for Neurotransmitter Analysis.Journal of separation science · 2025Article
- Use of 3D printing to integrate microchip electrophoresis with amperometric detection.Analytical and bioanalytical chemistry · 2024Article
- Separation and Detection of Tyrosine and Phenylalanine-derived Oxidative Stress Biomarkers Using Microchip Electrophoresis with Electrochemical Detection.Electroanalysis · 2022Article
- Biological applications of microchip electrophoresis with amperometric detection: in vivo monitoring and cell analysis.Analytical and bioanalytical chemistry · 2020Review
- Article
- Developing a screen-printed graphite-polyurethane composite electrode modified with gold nanoparticles for the voltammetric determination of dopamine.RSC advances · 2019Article
- 3D printed microfluidic device for online detection of neurochemical changes with high temporal resolution in human brain microdialysate.Lab on a chip · 2019Article
- Optimization of a microchip electrophoresis method with electrochemical detection for the determination of nitrite in macrophage cells as an indicator of nitric oxide production.Analytical methods : advancing methods and applications · 2019Article
- Skin microdialysis: methods, applications and future opportunities-an EAACI position paper.Clinical and translational allergy · 2019Review
- Continuous monitoring of adenosine and its metabolites using microdialysis coupled to microchip electrophoresis with amperometric detection.Analytical methods : advancing methods and applications · 2018Article
- PDMS/glass hybrid device with a reusable carbon electrode for on-line monitoring of catecholamines using microdialysis sampling coupled to microchip electrophoresis with electrochemical detection.Electrophoresis · 2018Article
- Multianalyte Physiological Microanalytical Devices.Annual review of analytical chemistry (Palo Alto, Calif.) · 2017Review
- Development of cell metabolite analysis on microfluidic platform.Journal of pharmaceutical analysis · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
A method for the separation and detection of analytes in the dopamine metabolic pathway was developed using microchip electrophoresis with electrochemical detection. The microchip consisted of a 5 cm PDMS separation channel in a simple-t configuration. Analytes in the dopamine metabolic pathway were separated using a background electrolyte composed of 15 mM phosphate at pH 7.4, 15 mM SDS, and 2.5 mM boric acid. Two different microchip substrates using different electrode materials were compared for the analysis: a PDMS/PDMS device with a carbon fiber electrode and a PDMS/glass hybrid device with a pyrolyzed photoresist film carbon electrode. While the PDMS/PDMS device generated high separation efficiencies and good resolution, more reproducible migration times were obtained with the PDMS/glass hybrid device, making it a better choice for biological applications. Lastly, the optimized method was used to monitor l-DOPA metabolism in a rat brain slice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.