Molecularly imprinted polymers for the detection of benomyl residues in water and soil samples. Issue 8 (3rd August 2019)

• Record Type: Journal Article
• Authors: Guzzella, Licia; Casatta, Nadia; Dahchour, Abdelmalek; Baggiani, Claudio; Pozzoni, Fiorenzo
• Is Part Of: Journal of environmental science and health. Volume 54:Issue 8(2019)
• Page Start: 702
• Page End: 708
• Publication Date: 2019-08-03
• Subjects: Benomyl -- carbendazim -- molecularly imprinted polymers (MIPs) -- soil samples -- water samples; Pesticides -- Environmental aspects -- Periodicals; Food contamination -- Periodicals; Agricultural wastes -- Environmental aspects -- Periodicals; Ecology -- periodicals; Pesticides -- toxicity -- periodicals; Food Contamination -- periodicals; 363.73
• DOI: 10.1080/03601234.2018.1473970
• Languages: English
• ISSNs: 0360-1234

Abstract

Abstract: Benomyl is a benzimidazol fungicide used against various crop pathogens. Although banned in many countries, it is still widely used worldwide and is listed in different monitoring programs among the substances to be monitored to assess human exposure to pesticide residues. The assessment of benomyl is mainly based on the analysis of the residues of its most important metabolite, carbendazim. Existing methods often lack of selectivity and display a limited performance because of the presence of co-extracted compounds. Molecularly imprinted polymers (MIPs) offer an alternative methodology, adsorbing preferentially those target molecules for which the polymers are specifically prepared. In this study, we optimized the synthesis of a polymer imprinted with benomyl. Tests of specificity recognition showed a good performance for carbendazim compared with other similar pesticides. The mean recovery of benomyl (measured as carbendazim) from water samples was estimated to be 90% for MIPs while with real soil samples collected in Morocco the recovery efficiency was 62%. Preliminary tests also suggest that this MIP can implement traditional SPE techniques for assessing benomyl residual concentrations in environmental samples.