Title of article :
Rapid determination of pesticide mixtures using disposable biosensors based on genetically modified enzymes and artificial neural networks
Author/Authors :
Alonso، نويسنده , , Gustavo A. and Istamboulie، نويسنده , , Georges and Noguer، نويسنده , , Thierry and Marty، نويسنده , , Jean-Louis and Muٌoz، نويسنده , , Roberto، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
7
From page :
22
To page :
28
Abstract :
We present a one-step inhibition biosensor method that can be used to determine mixtures of three organophosphorus compounds. We propose to calculate the rate of irreversible inactivation of the enzyme (kp) to demonstrate the direct relationship between enzymatic biosensors and Chlorpyriphos-oxon (CPO), Chlorfenvinphos (CFV) and Azinphos-methyl oxon (AZMO) insecticides. The array of biosensors was designed using only two acetylcholinesterases from Drosophila melanogaster (wild-type and genetically modified). We used the values the slope of inhibitions mi from an array of biosensors and an artificial neural network to solve mixtures of CPO, CFV and AZMO insecticides The errors were low between the obtained and expected values for a set of 20 external test samples.
Keywords :
organophosphorus , Acetylcholinesterase , Artificial neural networks , Hybrid biosensor , Amperometric biosensor , Inhibition slope
Journal title :
Sensors and Actuators B: Chemical
Serial Year :
2012
Journal title :
Sensors and Actuators B: Chemical
Record number :
1440469
Link To Document :
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