To detect traces of insecticides in the environment using biosensors, we engineered Drosophila acetylcholinesterase (AChE) to increase its sensitivity and its rate of phosphorylation or carbamoylation by organophosphates or carbamates. The mutants made by site-directed mutagenesis were expressed in baculovirus. Different strategies were used to obtain these mutants: (i) substitution of amino acids at positions found mutated in AChE from insects resistant to insecticide, (ii) mutations of amino acids at positions suggested by 3-D structural analysis of the active site, (iii) Ala-scan analysis of amino acids lining the active site gorge, (iv) mutagenesis at positions detected as important for sensitivity in the Ala-scan analysis and (v) combination of mutations which independently enhance sensitivity. The results highlighted the difficulty of predicting the effect of mutations; this may be due to the structure of the site, a deep gorge with the active serine at the bottom and to allosteric effects between the top and the bottom of the gorge. Nevertheless, the use of these different strategies allowed us to obtain sensitive enzymes. The greatest improvement was for the sensitivity to dichlorvos for which a mutant was 300-fold more sensitive than the Drosophila wild-type enzyme and 288 000-fold more sensitive than the electric eel enzyme, the enzyme commonly used to detect organophosphate and carbamate.
        
Title: Improved multianalyte detection of organophosphates and carbamates with disposable multielectrode biosensors using recombinant mutants of Drosophila acetylcholinesterase and artificial neural networks Bachmann TT, Leca B, Vilatte F, Marty JL, Fournier D, Schmid RD Ref: Biosensors & Bioelectronics, 15:193, 2000 : PubMed
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-inhibiting insecticides. The system was based on a combination of amperometric multielectrode biosensors with chemometric data analysis of sensor outputs using artificial neural networks (ANN). The multisensors were fully manufactured by screen-printing, including enzyme immobilisation. Two types of multisensors were produced that consisted of four AChE variants each. The AChE mutants were selected in order to obtain high resolution, enhanced sensitivity and minimal assay time. This task was successfully achieved using multisensor 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 an individual sensitivity pattern towards the target analytes. For multisensor II, the inclusion of F368W, which had an extremely diminished paraoxon sensitivity, increased the sensor's capacity even further. Multisensors I and II were both used for inhibition analysis of binary paraoxon and carbofuran mixtures in a concentration range 0-5 microg/l, followed by data analysis using feed-forward ANN. The two analytes were determined with prediction errors of 0.4 microg/l for paraoxon and 0.5 microg/l for carbofuran. A complete biosensor assay and subsequent ANN evaluation was completed within 40 min. In addition, multisensor II was also investigated for analyte discrimination in real water samples. Finally, the properties of the multisensors were confirmed by simultaneous detection of binary organophosphate mixtures. Malaoxon and paraoxon in composite solutions of 0-5 microg/l were discriminated with predication errors of 0.9 and 1.6 microg/l, respectively.