4.6 Article

Column packing elimination in matrix solid phase dispersion by using water compatible magnetic molecularly imprinted polymer for recognition of melamine from milk samples

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1594, Issue -, Pages 13-22

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2019.02.015

Keywords

Magnetic molecularly imprinted polymers; Matrix solid-phase dispersion; Experimental design methodology; Melamine; Milk sample

Funding

  1. Graduate School and Research Council of Yasouj University

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This paper reports a new variant of sample clean-up procedure based on miniaturized matrix solid phase dispersion (MSPD) combining with water compatible magnetic molecularly imprinted polymers (MMIP) for preconcentration of melamine from milk samples prior high-performance liquid chromatography with UV detection. By employing MMIP as dispersant sorbent matrix interferences could be eliminated completely and the column packing step was interestingly omitted that decreasing in glassware expenditure, labor effort and extraction time which cause improvement of the method performance. In order to investigate the functionality, morphology and magnetic properties of the prepared MMIP, it was fully characterized by FT-IR, VSM, SEM, and TEM. Multivariate optimization was applied as a versatile statistical approach for evaluating the influence of the main variables and their interactions on extraction efficiency. Under optimized conditions, the proposed method exhibited a wide linear response in the concentration range of 250.0-5000.0 mu g L-1, satisfactory recoveries for all samples (86.6% <=), and supreme repeatability (RSD less than 6.3%) were achieved as well. The low limit of detection close to 67.0 mu g L-1 implied high ability of proposed method for isolation of melamine from complicate milk sample. These befitting results demonstrated that the developed method is unique in terms of the facility, rapidly and least solvent consumption as well as accurate analysis of melamine at trace levels. (C) 2019 Published by Elsevier B.V.

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