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G. Istamboulie, M. Cortina-Puig, J. L. Marty and T. No- guer, “The Use of Artificial Neural Networks for the Selective Detection of Two Organophosphate Insecticides: Chlorpyrifos and Chlorfenvinfos,” Talanta, Vol. 79, No. 2, 2009, pp. 507-511. doi:10.1016/j.talanta.2009.04.014

has been cited by the following article:

• TITLE: Biosensors for Pesticide Detection: New Trends

  AUTHORS: Audrey Sassolas, Beatriz Prieto-Simón, Jean-Louis Marty

  KEYWORDS: Biosensors; Pesticides

  JOURNAL NAME: American Journal of Analytical Chemistry, Vol.3 No.3, March 29, 2012

  ABSTRACT: Due to the large amounts of pesticides commonly used and their impact on health, prompt and accurate pesticide analysis is important. This review gives an overview of recent advances and new trends in biosensors for pesticide detection. Optical, electrochemical and piezoelectric biosensors have been reported based on the detection method. In this review biosensors have been classified according to the immobilized biorecognition element: enzymes, cells, antibodies and, more rarely, DNA. The use of tailor-designed biomolecules, such as aptamers and molecularly imprinted polymers, is reviewed. Artificial Neural Networks, that allow the analysis of pesticide mixtures are also presented. Recent advances in the field of nanomaterials merit special mention. The incorporation of nanomaterials provides highly sensitive sensing devices allowing the efficient detection of pesticides.