Automated flow based biosensor for quantification of binary organophosphates mixture in milk using artificial neural network

Abstract : This work presents an application of automatic flow based biosensor to detect binary (chlorpyriphos-oxon (CPO) and malaoxon (MO)) organophosphate (OP) mixtures in milk, based on artificial neural network (ANN). Genetically modified acetylcholinesterase (AChE) B394 and B4 were used as a biological recognition element for sensor development. AChE binds with OPs irreversibly, creating an anionic phosphonyl species. The enzymes were coupled on screen printed electrodes (SPEs) and inserted in a flow cell connected to the potentiostat and syringe pump. In order to model the combined response of CPO and MO, a total set of 19 mixtures were prepared using ANN. The modeling was validated with an external test of 6 milk samples spiked with CPO and MO mixtures. The spiked concentrations of CPO and MO were ranged from 5 × 10−10 to 5 × 10−12 M and 1.01 × 10−10 to 9.17 × 10−11 M, respectively. These concentrations were determined using factorial designing (FD) method and the obtained and expected recovery values in milk showed good co-relation. The average % recovery yields for CPO and MO are 109.53 and 100.66, respectively.
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https://hal-univ-perp.archives-ouvertes.fr/hal-01164276
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Submitted on : Tuesday, June 16, 2015 - 2:46:36 PM
Last modification on : Wednesday, November 29, 2017 - 4:42:12 PM

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Rupesh K. Mishra, Gustavo A. Alonso, Georges Istamboulie, Sunil Bhand, Jean-Louis Marty. Automated flow based biosensor for quantification of binary organophosphates mixture in milk using artificial neural network. Sensors and Actuators B: Chemical, Elsevier, 2015, 208, pp.228-237. ⟨10.1016/j.snb.2014.11.011⟩. ⟨hal-01164276⟩

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