Improved multianalyte detection of organophosphates and carbamates with disposable multielectrode biosensors using recombinant mutants of Drosophila acetylcholinesterase and artificial neural networks

Citation
Tt. Bachmann et al., Improved multianalyte detection of organophosphates and carbamates with disposable multielectrode biosensors using recombinant mutants of Drosophila acetylcholinesterase and artificial neural networks, BIOSENS BIO, 15(3-4), 2000, pp. 193-201
Citations number
43
Categorie Soggetti
Biotecnology & Applied Microbiology
Journal title
BIOSENSORS & BIOELECTRONICS
ISSN journal
09565663 → ACNP
Volume
15
Issue
3-4
Year of publication
2000
Pages
193 - 201
Database
ISI
SICI code
0956-5663(200006)15:3-4<193:IMDOOA>2.0.ZU;2-K
Abstract
Engineered variants of Drosophila melanogaster acetylcholinesterase (AChE) were used as biological receptors of AChE-multisensors for the simultaneous detection and discrimination of binary mixtures of cholinesterase-inhibiti ng insecticides. The system was based on a combination of amperometric mult ielectrode biosensors with chemometric data analysis of sensor outputs usin g artificial neural networks (ANN). The multisensors were fully manufacture d by screen-printing, including enzyme immobilisation. Two types of multise nsors were produced that consisted of four AChE variants each. The AChE mut ants were selected in order to obtain high resolution, enhanced sensitivity and minimal assay time. This task was successfully achieved using multisen sor I equipped with wild-type Drosophila AChE and mutants Y408F, F368L, and F368H. Each of the AChE variants was selected on the basis of displaying a n individual sensitivity pattern towards the target analytes. For multisens or II, the inclusion of F368W, which had an extremely diminished paraoxon s ensitivity, increased the sensor's capacity even further. Multisensors I an d II were both used for inhibition analysis of binary paraoxon and carbofur an mixtures in a concentration range 0-5 mu g/l, followed by data analysis using feed-forward ANN. The two analytes were determined with prediction er rors of 0.4 mu g/l for paraoxon and 0.5 mu g/l for carbofuran. A complete b iosensor assay and subsequent ANN evaluation was completed within 40 min. I n addition, multisensor II was also investigated for analyte discrimination in real water samples. Finally, the properties of the multisensors were co nfirmed by simultaneous detection of binary organophosphate mixtures. Malao xon and paraoxon in composite solutions of 0-5 mu g/l were discriminated wi th predication errors of 0.9 and 1.6 mu g/l, respectively. (C) 2000 Elsevie r Science S.A. All rights reserved.