Evidence map›Paper›PMID 39056628›Full record

ArticleBiosensors2024

Evaluation of In Vitro Serotonin-Induced Electrochemical Fouling Performance of Boron Doped Diamond Microelectrode Using Fast-Scan Cyclic Voltammetry.

Mason L Perillo, Bhavna Gupta, James R Siegenthaler, Isabelle E Christensen, Brandon Kepros, Abu Mitul, Ming Han, Robert Rechenberg, Michael F Becker, Wen Li and 1 more

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mason L PerilloDepartment of Biomedical Engineering, Institute for Quantitative Health Science and Engineering, East Lansing, MI 48824, USA.ORCID 0000-0003-2143-1419
Bhavna GuptaNeuroscience Program, Michigan State University, East Lansing, MI 48824, USA.
James R SiegenthalerFraunhofer USA Center Midwest, Coatings and Diamond Technologies Division, East Lansing, MI 48824, USA.ORCID 0000-0001-5513-4469
Isabelle E ChristensenDepartment of Biomedical Engineering, Institute for Quantitative Health Science and Engineering, East Lansing, MI 48824, USA.
Brandon KeprosFraunhofer USA Center Midwest, Coatings and Diamond Technologies Division, East Lansing, MI 48824, USA.
Abu MitulDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-3815-326X
Ming HanDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0003-3595-4560
Robert RechenbergFraunhofer USA Center Midwest, Coatings and Diamond Technologies Division, East Lansing, MI 48824, USA.
Michael F BeckerFraunhofer USA Center Midwest, Coatings and Diamond Technologies Division, East Lansing, MI 48824, USA.
Wen LiDepartment of Biomedical Engineering, Institute for Quantitative Health Science and Engineering, East Lansing, MI 48824, USA.
Erin K PurcellDepartment of Biomedical Engineering, Institute for Quantitative Health Science and Engineering, East Lansing, MI 48824, USA.

Funding

Microfabricated all-diamond microelectrode arrays for neurotransmitter sensing and extracellular recordingR01NS116080 · NINDS · MICHIGAN STATE UNIVERSITY · PI LI, WEN · 2020 to 2024
$3.0M
NIH HHS 1R01NS116080-24A1NINDS NIH HHS R01 NS116080Strategic Partnership Grant from Michigan State University NA
6 · The paper itself

Abstract

Fast-scan cyclic voltammetry (FSCV) is an electrochemical sensing technique that can be used for neurochemical sensing with high spatiotemporal resolution. Carbon fiber microelectrodes (CFMEs) are traditionally used as FSCV sensors. However, CFMEs are prone to electrochemical fouling caused by oxidative byproducts of repeated serotonin (5-HT) exposure, which makes them less suitable as chronic 5-HT sensors. Our team is developing a boron-doped diamond microelectrode (BDDME) that has previously been shown to be relatively resistant to fouling caused by protein adsorption (biofouling). We sought to determine if this BDDME exhibits resistance to electrochemical fouling, which we explored on electrodes fabricated with either femtosecond laser cutting or physical cleaving. We recorded the oxidation current response after 25 repeated injections of 5-HT in a flow-injection cell and compared the current drop from the first with the last injection. The 5-HT responses were compared with dopamine (DA), a neurochemical that is known to produce minimal fouling oxidative byproducts and has a stable repeated response. Physical cleaving of the BDDME yielded a reduction in fouling due to 5-HT compared with the CFME and the femtosecond laser cut BDDME. However, the femtosecond laser cut BDDME exhibited a large increase in sensitivity over the cleaved BDDME. An extended stability analysis was conducted for all device types following 5-HT fouling tests. This analysis demonstrated an improvement in the long-term stability of boron-doped diamond over CFMEs, as well as a diminishing sensitivity of the laser-cut BDDME over time. This work reports the electrochemical fouling performance of the BDDME when it is repeatedly exposed to DA or 5-HT, which informs the development of a chronic, diamond-based electrochemical sensor for long-term neurotransmitter measurements in vivo.

Indexed as

BoronDiamondElectrochemical TechniquesMicroelectrodesSerotoninBiosensing TechniquesCarbon FiberDopamineOxidation-ReductionBoronCarbon FiberDiamondDopamineSerotoninbiomedical engineeringboron-doped diamonddopamineelectrochemical foulingfast-scan cyclic voltammetrymicroelectrodesneuroscienceneurotransmitter detectionsensingserotonin

Identifiers

PMID39056628
PMCPMC11274679

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.