4.6 Article

Preparation of magnetic molecularly imprinted polymer for selective recognition of resveratrol in wine

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1300, Issue -, Pages 112-118

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2013.02.018

Keywords

Dummy template; Magnetic molecularly imprinted polymers; Resveratrol; Wine samples

Funding

  1. National Natural Science Foundation of China [21075127, 20875095]

Ask authors/readers for more resources

The magnetic molecularly imprinted polymers (MMIPs) for resveratrol were prepared by using surface molecular imprinting technique with a super paramagnetic core-shell nanoparticle as a supporter. Rhapontigenin, which is the analogues of resveratrol, was selected as dummy template molecules to avoid the leakage of trace amount of resveratrol. Acrylamide and ethylene glycol dimethacrylate were chosen as functional monomers and cross-linker, respectively. The obtained MMIPs were characterized by using scanning electron microscopy, Fourier transform infrared spectrum, X-ray diffraction and vibrating sample magnetometer. High performance liquid chromatography was used to analyze the target analytes. The resulting MMIPs exhibited high saturation magnetization of 53.14 emu g(-1) leading to the fast separation. The adsorption test showed that the MMIPs had high adsorption capacity for resveratrol and contained homogeneous binding sites. The MMIPs were employed as adsorbent of solid phase extraction for determination of resveratrol in real wine samples, and the recoveries of spiked samples ranged from 79.3% to 90.6% with the limit of detection of 4.42 ng mL(-1). The prepared MMIPs could be employed to selectively pre-concentrate and determine resveratrol from wine samples. (C) 2013 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available