A screen-printed, amperometric biosensor array incorporated into a novel automated system for the simultaneous determination of organophosphate pesticides
Crew, A. P., Lonsdale, D., Byrd, N., Pittson, R. and Hart, J. P. (2011) A screen-printed, amperometric biosensor array incorporated into a novel automated system for the simultaneous determination of organophosphate pesticides. Biosensors and Bioelectronics, 26 (6). pp. 2847-2851. ISSN 0956-5663 Available from: http://eprints.uwe.ac.uk/13621
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Publisher's URL: http://dx.doi.org/10.1016/j.bios.2010.11.018
Organophosphate pesticides present serious risks to human and environmental health. A rapid reliable, economical and portable analytical system will be of great benefit in the detection and prevention of contamination. A biosensor array based on six acetylcholinesterase enzymes for use in a novel automated instrument incorporating a neural network program is described. Electrochemical analysis was carried out using chronoamperometry and the measurement was taken 10 seconds after applying a potential of 0 V vs. Ag/AgCl. The total analysis time for the complete assay was less than six minutes. The array was used to produce calibration data with six organophosphate pesticides (OPs) in the concentration range of 10−5 M to 10−9 M to train a neural network. The output of the neural network was subsequently evaluated using different sample matrices. There were no detrimental matrix effects observed from water, phosphate buffer, food or vegetable extracts. Furthermore, the sensor system was not detrimentally affected by the contents of water samples taken from each stage of the water treatment process. The biosensor system successfully identified and quantified all samples where an OP was present in water, food and vegetable extracts containing different OPs. There were no false positives or false negatives observed during the evaluation of the analytical system. The biosensor arrays and automated instrument were evaluated in situ in field experiments where the instrument was successfully applied to the analysis of a range of environmental samples. It is envisaged that the analytical system could provide a rapid detection system for the early warning of contamination in water and food.