Literature DB >> 19647262

Determination of chloramphenicol in urine, feed water, milk and honey samples using molecular imprinted polymer clean-up.

Martina Rejtharová1, Libor Rejthar.   

Abstract

A method for determination of low concentrations of chloramphenicol in urine, feed water, milk and honey was developed. A comparison was carried out between a routinely used analytical method based on solid phase extraction (SPE-C18) for cleaning the extract and the new procedure for the sample preparation using columns based on the molecular imprinted polymers (MIP) principle. The extracts obtained from the MIP clean-up procedure were clean enough for chromatografic analyses. Confirmatory analyses were conducted using GC/MS-NCI after derivatisation (silylation). The described method was fully validated according to CD 2002/657/EC. This method is considerably robust and allows very dirty samples to be processed. The described MIP procedure is very simple and low-time-consuming, and provides high throughput of the samples examined. This could be used for routine screening and confirmatory analyses as well.

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Year:  2009        PMID: 19647262     DOI: 10.1016/j.chroma.2009.07.037

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  3 in total

1.  Fast extraction of chloramphenicol from marine sediments by using magnetic molecularly imprinted nanoparticles.

Authors:  Dan Qin; Jiangtao Wang; Changzi Ge; Ziru Lian
Journal:  Mikrochim Acta       Date:  2019-06-11       Impact factor: 5.833

2.  Analytical Strategy for Determination of Chloramphenicol in Different Biological Matrices by Liquid Chromatography - Mass Spectrometry.

Authors:  Tomasz Śniegocki; Małgorzata Gbylik-Sikorska; Andrzej Posyniak
Journal:  J Vet Res       Date:  2017-09-19       Impact factor: 1.744

Review 3.  Molecularly Imprinted Polymers as Extracting Media for the Chromatographic Determination of Antibiotics in Milk.

Authors:  Dimitrios Bitas; Victoria Samanidou
Journal:  Molecules       Date:  2018-02-02       Impact factor: 4.411

  3 in total

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