Evidence map›Paper›PMID 29076724›Full record

ArticleACS chemical neuroscience2018

A Detailed Model of Electroenzymatic Glutamate Biosensors To Aid in Sensor Optimization and in Applications in Vivo.

Mackenzie Clay, Harold G Monbouquette

Abstract read
In one paragraph

Article in ACS chemical neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 30 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Mackenzie ClayChemical and Biomolecular Engineering Department, University of California, Los Angeles , Los Angeles, California 90095-1592, United States.
Harold G MonbouquetteChemical and Biomolecular Engineering Department, University of California, Los Angeles , Los Angeles, California 90095-1592, United States.ORCID 0000-0001-8144-8189
University of California, Los Angeles · US

Funding

Multifunctional Microprobe for Multiple Neurotransmitter Sensing and OptogeneticsR01NS087494 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAIDMENT, NIGEL T, MONBOUQUETTE, HAROLD GEORGE · 2014 to 2018
$2.5M
NINDS NIH HHS R01 NS087494
6 · The paper itself

Abstract

Simulations conducted with a detailed model of glutamate biosensor performance describe the observed sensor performance well, illustrate the limits of sensor performance, and suggest a path toward sensor optimization. Glutamate is the most important excitatory neurotransmitter in the brain, and electroenzymatic sensors have emerged as a useful tool for the monitoring of glutamate signaling in vivo. However, the utility of these sensors currently is limited by their sensitivity and response time. A mathematical model of a typical glutamate biosensor consisting of a Pt electrode coated with a permselective polymer film and a top layer of cross-linked glutamate oxidase has been constructed in terms of differential material balances on glutamate, H

Indexed as

Biosensing TechniquesModels, TheoreticalComputer SimulationEnzymes, ImmobilizedEquipment DesignGlutamic AcidHydrogen PeroxideKineticsOxidoreductasesOxygenPolymersEnzymes, ImmobilizedGlutamic AcidHydrogen PeroxideOxidoreductasesOxygenPolymersbiosensor optimizationGlutamateglutamate biosensorglutamate biosensor response timeglutamate biosensor sensitivitymathematical model

Identifiers

PMID29076724
PMCPMC5881573
OpenAlexW2766497454

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.