Cysteine residues reduce the severity of dopamine electrochemical fouling

Harreither, Wolfgang; Trouillon, Raphaël; Poulin, Philippe; Néri, Wilfrid; Ewing, Andrew G.; Safina, Gulnara

doi:10.1016/j.electacta.2016.05.124

Cited by 31 publications

(21 citation statements)

References 55 publications

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“…One concern for possible use of microelectrodes in vivo is the fouling of the surface from proteins or from oxidation products of compounds, such as serotonin which can polymerize after oxidation. [48] The resistance of ox-CNH/CFME toward biofouling was determined by comparing the anodic peak current of 1 μM dopamine from the electrode before and after placing the electrode in the brain slice tissue for 2 h. The current after fouling (39 ± 5 nA) significantly decreases from original current (64 ± 3 nA) (paired t -test, p < 0.005, n = 4). However, the decrease is only about 40%, which is less than the decrease observed at unmodified CFMEs, where the dopamine anodic current decreased by 70% [49] .…”

Section: Resultsmentioning

confidence: 99%

Carbon Nanohorn‐modified Carbon Fiber Microelectrodes for Dopamine Detection

2018

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Carbon nanohorns (CNHs), closed cone-shaped cages of sp2-hybridized carbons, are a promising nanomaterial to improve carbon-fiber microelectrode (CFME) dues to their high specific surface area and edge planes, but few studies have tested their electrochemical properties. Here, we tested the dopamine detection at electrodeposited CNHs on CFME (CNH/CFME). The optimized concentration of CNHs in the deposition solution is 0.5 mg/mL, and the optimized electrodeposition waveform is 10 cycles of triangular waveform scanned from –1.0 V and +1.0 V at 50 mV/s. Using fast-scan cyclic voltammetry, the optimized CNH/CFME enhances dopamine peak current to 2.3 ± 0.2 times that of the CFME. To further increase the current, CNH/CFMEs were oxidized in NaOH (ox-CNH/CFME), which creates more defects and surface oxide groups to adsorb dopamine. The oxidative etching further increases the peak current to 3.5 ± 0.2 times of the CFME, and ox-CNH/CFME had a limit of detection of 6 ± 2 nM. The dopamine anodic current at ox-CNH/CFME was stable for 8 h of continuous scanning. The ox-CNH/CFME enhanced the anodic peak current for other cationic neurotransmitters including epinephrine, norepinephrine, and serotonin, but less enhancement was found for ascorbic acid, showing higher selectivity for cationic molecules. CNHs also decreased tissue biofouling at CFME. Thus, electrodeposited CNHs are a promising new method for increasing the surface area and current of CFMEs for dopamine detection.

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Section: Resultsmentioning

confidence: 99%

Carbon Nanohorn‐modified Carbon Fiber Microelectrodes for Dopamine Detection

2018

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“…[27][28] This contributes to drift by altering the surface area (affecting capacitance) and the composition of chemical functionalities on the sensor surface. 27,[29][30] Electrode fouling can occur via electropolymerization of redox-active species, [31][32] tissue encapsulation, or adsorption of macromolecules to alter the active sensing surface (and its impedance properties). [33][34][35] Additionally, ionic and molecular fluctuations are common in vivo, and can transiently alter the double-layer structure, shifting capacitance.…”

Section: Electrochemical Drift In Fscv Recordingsmentioning

confidence: 99%

Drift Subtraction for Fast-Scan Cyclic Voltammetry Using Double-Waveform Partial-Least-Squares Regression

2019

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Background-subtracted fast-scan cyclic voltammetry (FSCV) provides a method for detecting molecular fluctuations with high spatiotemporal resolution in the brain of awake and behaving animals. The rapid scan rates generate large background currents that are subtracted to reveal changes in analyte concentration. Although these background currents are relatively stable, small changes do occur over time. These changes, referred to as electrochemical drift, result in background-subtraction artifacts that constrain the utility of FSCV, particularly when quantifying chemical changes that gradually occur over long measurement times (minutes). The voltammetric features of electrochemical drift are varied and can span the entire potential window, potentially obscuring the signal from any targeted analyte. We present a straightforward method for extending the duration of a single FSCV recording window. First, we have implemented voltammetric waveforms in pairs that consist of a smaller triangular sweep followed by a conventional voltammetric scan. The initial, abbreviated waveform is used to capture drift information that can serve as a predictor for the contribution of electrochemical drift to the subsequent full voltammetric scan using partial-least-squares regression (PLSR). This double-waveform partialleast-squares regression (DW-PLSR) paradigm permits reliable subtraction of the drift component to the voltammetric data. Here, DW-PLSR is used to improve quantification of adenosine, dopamine, and hydrogen peroxide fluctuations occurring >10 min from the initial background position, both in vitro and in vivo. The results demonstrate that DW-PLSR is a powerful tool for evaluating and interpreting both rapid (seconds) and gradual (minutes) chemical changes captured in FSCV recordings over extended durations.

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“…However, being primarily a background subtraction technique, FSCV measurements are limited to short time intervals (<90 s) due to the instability of the background currents, i.e., background drifting (Oh et al, 2016;Oh et al, 2016;Mark DeWaele et al, 2017;Meunier et al, 2019). This background drift can be attributed to a number of factors, comprising the changes occurring at the carbon surface itself-i.e., chemical reaction of electrode material, non-specific absorption of proteins, deposition of byproducts of electrochemical reactions (Harreither et al, 2016;Hensley et al, 2018;Puthongkham and Venton, 2020)-and changes in the surrounding chemical and biological neuroenvironment-i.e., pH and local blood flow fluctuations (Mark DeWaele et al, 2017;Roberts and Sombers, 2018;Meunier et al, 2019). To predict the noise and extract the signal contribution from the drifting background, signal filtering (Mark DeWaele et al, 2017;Puthongkham and Venton, 2020), multivariate analyses (Hermans et al, 2008;Meunier et al, 2019), and waveform manipulations combined with mathematical techniques (Oh et al, 2016;Meunier et al, 2019) have been investigated, but they require training sets (Johnson et al, 2016;Puthongkham and Venton, 2020) and/or data preprocessing (Puthongkham and Venton, 2020).…”

Section: Introductionmentioning

confidence: 99%

Real-Time Fast Scan Cyclic Voltammetry Detection and Quantification of Exogenously Administered Melatonin in Mice Brain

Castagnola

Robbins

Woeppel

et al. 2020

Front. Bioeng. Biotechnol.

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Melatonin (MT) has been recently considered an excellent candidate for the treatment of sleep disorders, neural injuries, and neurological diseases. To better investigate the actions of MT in various brain functions, real-time detection of MT concentrations in specific brain regions is much desired. Previously, we have demonstrated detection of exogenously administered MT in anesthetized mouse brain using square wave voltammetry (SWV). Here, for the first time, we show successful detection of exogenous MT in the brain using fast scan cyclic voltammetry (FSCV) on electrochemically pre-activated carbon fiber microelectrodes (CFEs). In vitro evaluation showed the highest sensitivity (28.1 nA/μM) and lowest detection limit (20.2 ± 4.8 nM) ever reported for MT detection at carbon surface. Additionally, an extensive CFE stability and fouling assessment demonstrated that a prolonged CFE pre-conditioning stabilizes the background, in vitro and in vivo, and provides consistent CFE sensitivity over time even in the presence of a high MT concentration. Finally, the stable in vivo background, with minimized CFE fouling, allows us to achieve a drift-free FSCV detection of exogenous administered MT in mouse brain over a period of 3 min, which is significantly longer than the duration limit (usually < 90 s) for traditional in vivo FSCV acquisition. The MT concentration and dynamics measured by FSCV are in good agreement with SWV, while microdialysis further validated the concentration range. These results demonstrated reliable MT detection using FSCV that has the potential to monitor MT in the brain over long periods of time.

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Cysteine residues reduce the severity of dopamine electrochemical fouling

Cited by 31 publications

References 55 publications

Carbon Nanohorn‐modified Carbon Fiber Microelectrodes for Dopamine Detection

Carbon Nanohorn‐modified Carbon Fiber Microelectrodes for Dopamine Detection

Drift Subtraction for Fast-Scan Cyclic Voltammetry Using Double-Waveform Partial-Least-Squares Regression

Real-Time Fast Scan Cyclic Voltammetry Detection and Quantification of Exogenously Administered Melatonin in Mice Brain

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