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Bi-enzyme alcohol biosensors based on genetically engineered alcohol oxidase and different peroxidases

Alpeeva, IS; Vilkanauskyte, A; Ngounou, B; Csöregi, Elisabeth LU ; Sakharov, IY; Gonchar, M and Schuhmann, W (2005) In Mikrochimica Acta 152(1-2). p.21-27
Abstract
We report on the development of a bi-layer bi-enzyme biosensor architecture using different peroxidases and alcohol oxidase from Hansenula polymorpha C-105 as biological recognition elements. The sensor architecture comprises a first layer containing either horseradish peroxidase or royal palm tree peroxidase crosslinked with an Osmium complex-modified redox hydrogel. On top, a second layer was formed by electrochemically induced precipitation of a cathodic electrodeposition paint simultaneously entrapping alcohol oxidase isolated from a genetically modified strain of Hansenula polymorpha C-105. The sensor architecture was optimized with respect to effective electron transfer and stability of the enzyme. The main characteristics of the... (More)
We report on the development of a bi-layer bi-enzyme biosensor architecture using different peroxidases and alcohol oxidase from Hansenula polymorpha C-105 as biological recognition elements. The sensor architecture comprises a first layer containing either horseradish peroxidase or royal palm tree peroxidase crosslinked with an Osmium complex-modified redox hydrogel. On top, a second layer was formed by electrochemically induced precipitation of a cathodic electrodeposition paint simultaneously entrapping alcohol oxidase isolated from a genetically modified strain of Hansenula polymorpha C-105. The sensor architecture was optimized with respect to effective electron transfer and stability of the enzyme. The main characteristics of the biosensors are an apparent maximal current I-max(app) of 572-940 nA, an apparent Michaelis constant K-M(app) of 9.5 mM, a sensitivity of 60-98 nA mM(-1) and an improved operational stability represented by a deactivation constant of 1.5-2.0 x 10(-4) min(-1). (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Mikrochimica Acta
volume
152
issue
1-2
pages
21 - 27
publisher
Springer
external identifiers
  • wos:000233235700002
  • scopus:27744591593
ISSN
1436-5073
DOI
10.1007/s00604-005-0407-7
language
English
LU publication?
yes
id
ff77032e-cd9f-4fb3-be71-7db6bf0e4f07 (old id 150872)
date added to LUP
2007-06-25 17:12:27
date last changed
2017-09-17 05:03:31
@article{ff77032e-cd9f-4fb3-be71-7db6bf0e4f07,
  abstract     = {We report on the development of a bi-layer bi-enzyme biosensor architecture using different peroxidases and alcohol oxidase from Hansenula polymorpha C-105 as biological recognition elements. The sensor architecture comprises a first layer containing either horseradish peroxidase or royal palm tree peroxidase crosslinked with an Osmium complex-modified redox hydrogel. On top, a second layer was formed by electrochemically induced precipitation of a cathodic electrodeposition paint simultaneously entrapping alcohol oxidase isolated from a genetically modified strain of Hansenula polymorpha C-105. The sensor architecture was optimized with respect to effective electron transfer and stability of the enzyme. The main characteristics of the biosensors are an apparent maximal current I-max(app) of 572-940 nA, an apparent Michaelis constant K-M(app) of 9.5 mM, a sensitivity of 60-98 nA mM(-1) and an improved operational stability represented by a deactivation constant of 1.5-2.0 x 10(-4) min(-1).},
  author       = {Alpeeva, IS and Vilkanauskyte, A and Ngounou, B and Csöregi, Elisabeth and Sakharov, IY and Gonchar, M and Schuhmann, W},
  issn         = {1436-5073},
  language     = {eng},
  number       = {1-2},
  pages        = {21--27},
  publisher    = {Springer},
  series       = {Mikrochimica Acta},
  title        = {Bi-enzyme alcohol biosensors based on genetically engineered alcohol oxidase and different peroxidases},
  url          = {http://dx.doi.org/10.1007/s00604-005-0407-7},
  volume       = {152},
  year         = {2005},
}