Literature DB >> 30920207

Defect Sites Modulate Fouling Resistance on Carbon-Nanotube Fiber Electrodes.

Moriah E Weese1, Rachel A Krevh1, Yuxin Li1, Noe T Alvarez1, Ashley E Ross1.   

Abstract

Carbon nanotube (CNT) fiber electrodes have become increasingly popular electrode materials for neurotransmitter detection with fast-scan cyclic voltammetry (FSCV). The unique properties of CNT fiber electrodes like increased electron transfer, sensitivity, waveform application frequency independence, and resistance to fouling make them ideal biological sensors for FSCV. In particular, their resistance to fouling has been observed for several years, but the specific physical properties which aid in fouling resistance have been debated. Here, we investigate the extent to which the presence of defect sites on the surface attenuate both chemical and biological fouling with FSCV. We compared traditional carbon-fiber microelectrodes (CFMEs) to pristine CNTs and functionalized CNTs. CFMEs and functionalized CNTs are highly disordered with a great deal of defect sites on the surface. The pristine CNTs have fewer defects compared to the purposefully functionalized CNTs and CFMEs. All electrode surfaces were characterized by a combination of scanning electron microscopy (SEM), Raman spectroscopy, and energy dispersive spectroscopy (EDS). Chemical fouling was studied using serotonin, a popular neurotransmitter notoriously known for electrode fouling. To assess biological fouling, electrodes were implanted in brain tissue for 2 h. Defect sites on the carbon were shown to resist biofouling compared to pristine CNTs but were detrimental for serotonin detection. Overall, we provide insight into the extent to which the electrode surface dictates fouling resistance with FSCV. This work provides evidence that careful considerations of the surface of the CNT material are needed when designing sensors for fouling resistance.

Entities:  

Keywords:  biofouling; carbon fiber; carbon nanotubes; electrochemistry; fast-scan cyclic voltammetry; serotonin

Mesh:

Substances:

Year:  2019        PMID: 30920207     DOI: 10.1021/acssensors.9b00161

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  8 in total

Review 1.  Fundamentals of fast-scan cyclic voltammetry for dopamine detection.

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

Review 2.  Recent advances in fast-scan cyclic voltammetry.

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

3.  Extended sawhorse waveform for stable zinc detection with fast-scan cyclic voltammetry.

Authors:  Anntonette N Perry; Michael T Cryan; Ashley E Ross
Journal:  Anal Bioanal Chem       Date:  2021-07-16       Impact factor: 4.142

4.  Porous Carbon Nanofiber-Modified Carbon Fiber Microelectrodes for Dopamine Detection.

Authors:  Blaise J Ostertag; Michael T Cryan; Joel M Serrano; Guoliang Liu; Ashley E Ross
Journal:  ACS Appl Nano Mater       Date:  2022-01-21

5.  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

6.  Nanodiamond Coating Improves the Sensitivity and Antifouling Properties of Carbon Fiber Microelectrodes.

Authors:  Pumidech Puthongkham; B Jill Venton
Journal:  ACS Sens       Date:  2019-08-21       Impact factor: 7.711

7.  Nano-engineering the material structure of preferentially oriented nano-graphitic carbon for making high-performance electrochemical micro-sensors.

Authors:  Edoardo Cuniberto; Abdullah Alharbi; Ting Wu; Zhujun Huang; Kasra Sardashti; Kae-Dyi You; Kim Kisslinger; Takashi Taniguchi; Kenji Watanabe; Roozbeh Kiani; Davood Shahrjerdi
Journal:  Sci Rep       Date:  2020-06-10       Impact factor: 4.379

8.  Accurate and stable chronic in vivo voltammetry enabled by a replaceable subcutaneous reference electrode.

Authors:  Elaine Marie Robbins; Elisa Castagnola; Xinyan Tracy Cui
Journal:  iScience       Date:  2022-08-02
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.