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

作者：Mishra Rupesh K^*; Alonso Gustavo A; Istamboulie Georges; Bhand Sunil; Marty Jean Louis

来源：Sensors and Actuators B: Chemical , 2015, 208: 228-237.

DOI：10.1016/j.snb.2014.11.011

• Organophosphate
• Genetically modified acetylcholinesterase
• Milk
• Flow based biosensor
• Artificial neural network

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 phosphonylspecies. 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 x 10(-10) to 5 x 10(-12) M and 1.01 x 10(-10) to 9.17 x 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.

• 出版日期2015-3-1