Literature DB >> 31820742

Plasma-treated carbon-fiber microelectrodes for improved purine detection with fast-scan cyclic voltammetry.

Yuxin Li1, Ashley E Ross1.   

Abstract

Here, we developed N2 and O2 plasma-treated carbon-fiber microelectrodes (CFME) for improved purine detection with fast-scan cyclic voltammetry (FSCV). Plasma treatment affects the topology and functionality of carbon which impacts the electrode-analyte interaction. CFME's are less sensitive to purines compared to catecholamines. Knowledge of how the electrode surface drives purine-electrode interaction would provide insight into methods to improve purine detection. Here, plasma-treated CFME's with N2 and O2 plasma was used to investigate the extent to which the surface functionality and topology affects purine detection and to improve purine sensing with FSCV. On average, O2 plasma increased the oxidative current for adenosine and ATP by 6.0 ± 1.2-fold and 6.4 ± 1.6-fold, and guanosine and GTP by 2.8 ± 0.47-fold and 5.8 ± 1.4-fold, respectively (n = 9). The O2 plasma increased the surface roughness and oxygen functionality. N2 plasma increased the oxidative current for adenosine and ATP by 1.5 ± 0.15-fold and 1.9 ± 0.23-fold, and guanosine and GTP by 1.4 ± 0.20-fold and 1.5 ± 0.20-fold, respectively (n = 11). N2 plasma increased the nitrogen functionality with minimal increases in roughness. Both plasma treatments impacted purines more than dopamine. Langmuir isotherms revealed that both plasma gases impact the theoretical surface coverage and adsorption strength of purines at the electrode. Overall, we show that purine detection is improved at surfaces with increased surface roughness, and oxygen and amine functionality. Plasma-treated CFMEs could be used in the future to study the analyte-electrode interaction of other neurochemicals.

Entities:  

Year:  2019        PMID: 31820742     DOI: 10.1039/c9an01636h

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  8 in total

Review 1.  Recent advances in fast-scan cyclic voltammetry.

Authors:  Pumidech Puthongkham; B Jill Venton
Journal:  Analyst       Date:  2020-02-17       Impact factor: 4.616

2.  Nanostructured carbon-fiber surfaces for improved neurochemical detection.

Authors:  Ayah J Syeed; Yuxin Li; Blaise J Ostertag; Jared W Brown; Ashley E Ross
Journal:  Faraday Discuss       Date:  2022-04-05       Impact factor: 4.394

3.  Platinum Nanoparticle Size and Density Impacts Purine Electrochemistry with Fast-Scan Cyclic Voltammetry.

Authors:  Alexandra L Keller; Steven M Quarin; Pietro Strobbia; Ashley E Ross
Journal:  J Electrochem Soc       Date:  2022-04-19       Impact factor: 4.386

4.  Metal Nanoparticle Modified Carbon-Fiber Microelectrodes Enhance Adenosine Triphosphate Surface Interactions with Fast-Scan Cyclic Voltammetry.

Authors:  Yuxin Li; Alexandra L Keller; Michael T Cryan; Ashley E Ross
Journal:  ACS Meas Sci Au       Date:  2021-10-07

5.  Electrochemical treatment in KOH renews and activates carbon fiber microelectrode surfaces.

Authors:  Qun Cao; Julia Lucktong; Zijun Shao; Yuanyu Chang; B Jill Venton
Journal:  Anal Bioanal Chem       Date:  2021-07-23       Impact factor: 4.142

6.  Amine-functionalized carbon-fiber microelectrodes for enhanced ATP detection with fast-scan cyclic voltammetry.

Authors:  Yuxin Li; Moriah E Weese; Michael T Cryan; Ashley E Ross
Journal:  Anal Methods       Date:  2021-05-27       Impact factor: 3.532

7.  Surface Nanostructure Effects on Dopamine Adsorption and Electrochemistry on Glassy Carbon Electrodes.

Authors:  Dalia L Swinya; Daniel Martín-Yerga; Marc Walker; Patrick R Unwin
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2022-07-29       Impact factor: 4.177

8.  Epitaxial Self-Assembly of Interfaces of 2D Metal-Organic Frameworks for Electroanalytical Detection of Neurotransmitters.

Authors:  Robert M Stolz; Anna F Kolln; Brunno C Rocha; Anna Brinks; Aileen M Eagleton; Lukasz Mendecki; Harish Vashisth; Katherine A Mirica
Journal:  ACS Nano       Date:  2022-09-13       Impact factor: 18.027

  8 in total

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