ArticleACS chemical neuroscience2017
Background Signal as an in Situ Predictor of Dopamine Oxidation Potential: Improving Interpretation of Fast-Scan Cyclic Voltammetry Data.
Article in ACS chemical neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
22 citing papers in PubMed, 35 citations in OpenAlex.
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- Machine Learning for Separating Dopamine and Octopamine Electrochemical Signals in Drosophila.Analytical chemistry · 2026Article
- Machine Learning for Neurotransmitter Monitoring by Fast Voltammetry: Current and Future Prospects.ACS chemical neuroscience · 2026Review
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- Advancing glassy carbon microelectrode arrays for neurochemical sensing: impact of double pyrolysis on structure and function.Frontiers in bioengineering and biotechnology · 2025Article
- PEDOT/CNT Flexible MEAs Reveal New Insights into the Clock Gene's Role in Dopamine Dynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Optimized Fabrication of Carbon-Fiber Microbiosensors for Codetection of Glucose and Dopamine in Brain Tissue.ACS sensors · 2024Article
- Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry.Analytical chemistry · 2024Review
- Voltammetry in the spleen assesses real-time immunomodulatory norepinephrine release elicited by autonomic neurostimulation.Journal of neuroinflammation · 2023Article
- Exploiting Microelectrode Geometry for Comprehensive Detection of Individual Exocytosis Events at Single Cells.ACS sensors · 2023Article
- Biocompatible reference electrodes to enhance chronic electrochemical signal fidelity in vivo.Analytical and bioanalytical chemistry · 2021Review
- Recent Advances in In Vivo Neurochemical Monitoring.Micromachines · 2021Review
- Next-Generation Diamond Electrodes for Neurochemical Sensing: Challenges and Opportunities.Micromachines · 2021Review
- Interpreting Dynamic Interfacial Changes at Carbon Fiber Microelectrodes Using Electrochemical Impedance Spectroscopy.Langmuir : the ACS journal of surfaces and colloids · 2020Article
- Fast serotonin voltammetry as a versatile tool for mapping dynamic tissue architecture: I. Responses at carbon fibers describe local tissue physiology.Journal of neurochemistry · 2020Article
- Recent advances in fast-scan cyclic voltammetry.The Analyst · 2020Review
- Fundamentals of fast-scan cyclic voltammetry for dopamine detection.The Analyst · 2020Review
- Real-Time Fast Scan Cyclic Voltammetry Detection and Quantification of Exogenously Administered Melatonin in Mice Brain.Frontiers in bioengineering and biotechnology · 2020Article
- Frontiers in Electrochemical Sensors for Neurotransmitter Detection: Towards Measuring Neurotransmitters as Chemical Diagnostics for Brain Disorders.Analytical methods : advancing methods and applications · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Background-subtracted fast-scan cyclic voltammetry (FSCV) has emerged as a powerful analytical technique for monitoring subsecond molecular fluctuations in live brain tissue. Despite increasing utilization of FSCV, efforts to improve the accuracy of quantification have been limited due to the complexity of the technique and the dynamic recording environment. It is clear that variable electrode performance renders calibration necessary for accurate quantification; however, the nature of in vivo measurements can make conventional postcalibration difficult, or even impossible. Analyte-specific voltammograms and scaling factors that are critical for quantification can shift or fluctuate in vivo. This is largely due to impedance changes, and the effects of impedance on these measurements have not been characterized. We have previously reported that the background current can be used to predict electrode-specific scaling factors in situ. In this work, we employ model circuits to investigate the impact of impedance on FSCV measurements. Additionally, we take another step toward in situ electrode calibration by using the oxidation potential of quinones on the electrode surface to accurately predict the oxidation potential for dopamine at any point in an electrochemical experiment, as both are dependent on impedance. The model, validated both in adrenal slice and live brain tissue, enables information encoded in the shape of the background voltammogram to determine electrochemical parameters that are critical for accurate quantification. This improves data interpretation and provides a significant next step toward more automated methods for in vivo data analysis.
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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.