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Title

Glutamate microbiosensors based on Prussian blue modified carbon fiber electrodes for neuroscience applications: in-vitro characterization

AuthorsSalazar, P.; Martín, M.; O'Neill, R. D.; González-Mora, J. L.
KeywordsBiosensor
Glutamate
Prussian blue
Carbon fiber electrode
Poly-o-phenylenediamine
Neurochemistry
Issue Date1-Nov-2016
PublisherElsevier
CitationSensors and Actuators - B - Chemical Biochemical Sensors 235: 117-125 (2016)
AbstractHerein we report a Prussian Blue modified carbon fiber electrode (CFE/PB) to be used in microbiosensors for glutamate monitoring in physiological applications as an alternative to the classical Pt and Pt-Ir transducers. Their low dimensions (∼250 μm CFE length and ∼10 μm diameter) are advantageous for measuring in living tissues. In addition, PB-modified microelectrodes allow the detection of enzyme-generated hydrogen peroxide at a low applied potential (∼0.0 V against SCE), contrasting the high potential used in many previous designs (∼0.7 V), decreasing the endogenous interference contributions. Moreover, the electrosynthesized polymer, poly-o-phenylenediamine (PoPD), was used to improve biosensor stability and selectivity. CFE/PB was conveniently characterized using impedance, Raman and XPS spectroscopies. Optimization of the fabrication procedure and analytical conditions is described, including activation of CFE/PB, enzyme enrichment, cross-linking, stabilization and anti-interference. A range of analytical parameters were also characterized such as sensitivity, limit of detection, linear range, and enzymatic loading. Finally, an optimized biosensor displaying a linear sensitivity of 135 ± 2 nA μM cm (n = 3), LOD of <2 μM, linear range up to 150 μM and effectively free of interference, is proposed as a suitable candidate for in-vivo glutamate monitoring in the central nervous system.
Publisher version (URL)https://doi.org/10.1016/j.snb.2016.05.057
URIhttp://hdl.handle.net/10261/191114
DOIhttp://dx.doi.org/10.1016/j.snb.2016.05.057
ISSN0925-4005
Appears in Collections:(ICMS) Artículos
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