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Can I read A Self-referencing Glutamate Biosensor for Measuring Real Time Neuronal Glutamate Flux on EtoBox?

A Self-referencing Glutamate Biosensor for Measuring Real Time Neuronal Glutamate Flux by E.S. McLamore; S. Mohanty; J. Shi; J. Claussen; S.S. Jedlicka; J.L. Rickus; D.M. Porterfield is a Neuroscience article available to read on EtoBox.

What is A Self-referencing Glutamate Biosensor for Measuring Real Time Neuronal Glutamate Flux about?

Quantification of neurotransmitter transport dynamics is hindered by a lack of sufficient tools to directly monitor bioactive flux under physiological conditions. Traditional techniques for studying neurotransmitter release/uptake require inferences from non-selective electrical recordings, are invasive/destructive, and/or suffer from poor temporal resolution. Recent advances in electrochemical biosensors have enhanced in vitro and in vivo detection of neurotransmitter concentration under physiological/pathophysiological conditions. The use of enzymatic biosensors with performance enhancing materials (e.g., carbon nanotubes) has been a major focus for many of these advances. However, these techniques are not used as mainstream neuroscience research tools, due to relatively low sensitivity, excessive drift/noise, low signal-to-noise ratio, and inability to quantify rapid neurochemical kinetics during synaptic transmission. A sensing technique known as self-referencing overcomes many of these problems, and allows non-invasive quantification of biophysical transport. This work presents a self-referencing CNT modified glutamate oxidase biosensor for monitoring glutamate flux near neura

Who reads A Self-referencing Glutamate Biosensor for Measuring Real Time Neuronal Glutamate Flux?

It is typically read by researchers, students, and practitioners in Neuroscience.

Author
E.S. McLamore; S. Mohanty; J. Shi; J. Claussen; S.S. Jedlicka; J.L. Rickus; D.M. Porterfield
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-0270)
Published
2010
Language
EN
Field
Neuroscience (Life Sciences)

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