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Validation of a liquid chromatography ultraviolet method for determination of herbicide diuron and its metabolites in soil samples

Overview of attention for article published in Anais da Academia Brasileira de Ciências, August 2016
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Title
Validation of a liquid chromatography ultraviolet method for determination of herbicide diuron and its metabolites in soil samples
Published in
Anais da Academia Brasileira de Ciências, August 2016
DOI 10.1590/0001-3765201620150234
Pubmed ID
Authors

Ana Lucia S M Felicio, Alessandra M Monteiro, Mariana B Almeida, Tiago B Madeira, Suzana L Nixdorf, Maria Josefa S Yabe

Abstract

Diuron is one of the most widely herbicide used worldwide, which can undergo degradation producing three primary metabolites: 3,4-dichlorophenylurea, 3-(3,4-dichlorophenyl)-1-methylurea, and 3,4-dichloroaniline. Since the persistence of diuron and its by-products in ecosystems involves risk of toxicity to environment and human health, a reliable quantitative method for simultaneous monitoring of these compounds is required. Hence, a simple method without preconcentration step was validated for quantitation of diuron and its main metabolites by high performance liquid chromatography with ultraviolet detection. Separation was achieved in less than 11 minutes using a C18 column, mobile phase composed of acetonitrile and water (45:55 v/v) at 0.86 mL min-1 and detection at 254 nm. The validated method using solid-liquid extraction followed by an isocratic chromatographic elution proved to be specific, precise and linear (R2 ˃ 0.99), presenting more than 90% of recovery. The method was successfully applied to quantify diuron and their by-products in soil samples collected in a sugarcane cultivation area, focusing on the environmental control.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 20%
Student > Doctoral Student 3 12%
Student > Ph. D. Student 3 12%
Other 2 8%
Student > Master 2 8%
Other 4 16%
Unknown 6 24%
Readers by discipline Count As %
Chemistry 5 20%
Agricultural and Biological Sciences 5 20%
Environmental Science 3 12%
Engineering 3 12%
Computer Science 1 4%
Other 1 4%
Unknown 7 28%