Publication

Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater

Oldenziel, W. H., Beukema, W. & Westerink, B. H. C., 30-Dec-2004, In : Journal of Neuroscience Methods. 140, 1-2, p. 117 - 126 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Oldenziel, W. H., Beukema, W., & Westerink, B. H. C. (2004). Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater. Journal of Neuroscience Methods, 140(1-2), 117 - 126. https://doi.org/10.1016/j.jneumeth.2004.04.038

Author

Oldenziel, Weite Hendrik ; Beukema, W. ; Westerink, B.H.C. / Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater. In: Journal of Neuroscience Methods. 2004 ; Vol. 140, No. 1-2. pp. 117 - 126.

Harvard

Oldenziel, WH, Beukema, W & Westerink, BHC 2004, 'Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater', Journal of Neuroscience Methods, vol. 140, no. 1-2, pp. 117 - 126. https://doi.org/10.1016/j.jneumeth.2004.04.038

Standard

Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater. / Oldenziel, Weite Hendrik; Beukema, W.; Westerink, B.H.C.

In: Journal of Neuroscience Methods, Vol. 140, No. 1-2, 30.12.2004, p. 117 - 126.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Oldenziel WH, Beukema W, Westerink BHC. Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater. Journal of Neuroscience Methods. 2004 Dec 30;140(1-2):117 - 126. https://doi.org/10.1016/j.jneumeth.2004.04.038


BibTeX

@article{bd43a3729d764971aecb2f6352bede33,
title = "Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater",
abstract = "Hydrogel-coated microsensors based oil carbon fiber electrodes (CFEs) are promising tools for in vivo analysis of endogeneous compounds such as glutamate. However. their construction generally depends on manual fabrication. which often results in pool reproducibility. The aim of this study was to improve the reproducibility and performance of glutamate microsensors. CFEs (10 mum diameter. 300-500 mum long) were coated with a cross-linked redox-polymer hydrogel containing L-glutamate oxidase, horseradish peroxidase and ascorbate oxidase. Various parameters that are likely to influence the reproducibility of the glutamate microsensors were studied. It appeared that the most crucial step in determining the microsensor performance is the manual hydrogel-application procedure. To control this procedure an automated dipcoater was constructed, which allowed mechanical application of the hydrogel on the CFE under standardized conditions. Significant improvements in performance were seen when the CFEs were dipcoated for 10 min at 37 degreesC. Further improvements were obtained when the automated hydrogel application was combined with other cross-link methods. such as electrodeposition and electrostatic complexation. A crucial factor in determining the microsensor performance is the hydrogel thickness. Microscopic observations revealed that, despite the use of an automated dipcoater, the layer thickness was not constant. By conbining the automated dipcoat technique with amperometry, the layer thickness could be indirectly monitored and controlled, which resulted ill significant improvements of the reproducibility of the sensors. (C) 2004 Elsevier B.V. All rights reserved.",
keywords = "CFE, hydrogel, L-glutamate oxidase, microsensor, construction, L-glutamate, LAYER-BY-LAYER, IN-VIVO, BRAIN MICRODIALYSIS, CARBON ELECTRODES, RELEASE, GLUCOSE, SENSORS, MICROELECTRODE, ASCORBATE, OXIDASE",
author = "Oldenziel, {Weite Hendrik} and W. Beukema and B.H.C. Westerink",
year = "2004",
month = "12",
day = "30",
doi = "10.1016/j.jneumeth.2004.04.038",
language = "English",
volume = "140",
pages = "117 -- 126",
journal = "Journal of Neuroscience Methods",
issn = "0165-0270",
publisher = "ELSEVIER SCIENCE BV",
number = "1-2",

}

RIS

TY - JOUR

T1 - Improving the reproducibility of hydrogel-coated glutamate microsensors by using an automated dipcoater

AU - Oldenziel, Weite Hendrik

AU - Beukema, W.

AU - Westerink, B.H.C.

PY - 2004/12/30

Y1 - 2004/12/30

N2 - Hydrogel-coated microsensors based oil carbon fiber electrodes (CFEs) are promising tools for in vivo analysis of endogeneous compounds such as glutamate. However. their construction generally depends on manual fabrication. which often results in pool reproducibility. The aim of this study was to improve the reproducibility and performance of glutamate microsensors. CFEs (10 mum diameter. 300-500 mum long) were coated with a cross-linked redox-polymer hydrogel containing L-glutamate oxidase, horseradish peroxidase and ascorbate oxidase. Various parameters that are likely to influence the reproducibility of the glutamate microsensors were studied. It appeared that the most crucial step in determining the microsensor performance is the manual hydrogel-application procedure. To control this procedure an automated dipcoater was constructed, which allowed mechanical application of the hydrogel on the CFE under standardized conditions. Significant improvements in performance were seen when the CFEs were dipcoated for 10 min at 37 degreesC. Further improvements were obtained when the automated hydrogel application was combined with other cross-link methods. such as electrodeposition and electrostatic complexation. A crucial factor in determining the microsensor performance is the hydrogel thickness. Microscopic observations revealed that, despite the use of an automated dipcoater, the layer thickness was not constant. By conbining the automated dipcoat technique with amperometry, the layer thickness could be indirectly monitored and controlled, which resulted ill significant improvements of the reproducibility of the sensors. (C) 2004 Elsevier B.V. All rights reserved.

AB - Hydrogel-coated microsensors based oil carbon fiber electrodes (CFEs) are promising tools for in vivo analysis of endogeneous compounds such as glutamate. However. their construction generally depends on manual fabrication. which often results in pool reproducibility. The aim of this study was to improve the reproducibility and performance of glutamate microsensors. CFEs (10 mum diameter. 300-500 mum long) were coated with a cross-linked redox-polymer hydrogel containing L-glutamate oxidase, horseradish peroxidase and ascorbate oxidase. Various parameters that are likely to influence the reproducibility of the glutamate microsensors were studied. It appeared that the most crucial step in determining the microsensor performance is the manual hydrogel-application procedure. To control this procedure an automated dipcoater was constructed, which allowed mechanical application of the hydrogel on the CFE under standardized conditions. Significant improvements in performance were seen when the CFEs were dipcoated for 10 min at 37 degreesC. Further improvements were obtained when the automated hydrogel application was combined with other cross-link methods. such as electrodeposition and electrostatic complexation. A crucial factor in determining the microsensor performance is the hydrogel thickness. Microscopic observations revealed that, despite the use of an automated dipcoater, the layer thickness was not constant. By conbining the automated dipcoat technique with amperometry, the layer thickness could be indirectly monitored and controlled, which resulted ill significant improvements of the reproducibility of the sensors. (C) 2004 Elsevier B.V. All rights reserved.

KW - CFE

KW - hydrogel

KW - L-glutamate oxidase

KW - microsensor

KW - construction

KW - L-glutamate

KW - LAYER-BY-LAYER

KW - IN-VIVO

KW - BRAIN MICRODIALYSIS

KW - CARBON ELECTRODES

KW - RELEASE

KW - GLUCOSE

KW - SENSORS

KW - MICROELECTRODE

KW - ASCORBATE

KW - OXIDASE

U2 - 10.1016/j.jneumeth.2004.04.038

DO - 10.1016/j.jneumeth.2004.04.038

M3 - Article

VL - 140

SP - 117

EP - 126

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

IS - 1-2

ER -

ID: 1246217