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A boronate-affinity magnetic molecularly imprinted polymer for luteolin recognition.

Authors :
Ding LX
Wang YQ
Sun X
Jiang ZQ
Wang XY
Zhou YF
Hou XY
Source :
Analytical methods : advancing methods and applications [Anal Methods] 2023 Feb 16; Vol. 15 (7), pp. 925-936. Date of Electronic Publication: 2023 Feb 16.
Publication Year :
2023

Abstract

In this study, 3-carboxyphenylboronic acid (CP)-functionalized amino-modified Fe <subscript>3</subscript> O <subscript>4</subscript> (Fe <subscript>3</subscript> O <subscript>4</subscript> @NH <subscript>2</subscript> -CP, FNC) magnetic molecularly imprinted polymers (FNC@MIPs) were synthesized and applied for the quick identification and selective separation of luteolin (LTL). The structure and morphology were characterized in detail by Fourier transform-infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), dynamic light scattering (DLS), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), thermogravimetric analysis (TGA), and vibrating specimen magnetometry (VSM) methods. The FNC@MIPs had a homogeneous shape, excellent magnetic characteristics, quick binding kinetics, a high adsorption capacity, acceptable selectivity, and stable reusability. The solid-phase extraction parameters and preparation conditions were both optimized. Under optimized conditions, the maximal adsorption capacity was 14.26 mg g <superscript>-1</superscript> and the imprinting factor was 3.62. Furthermore, the experimental kinetics data were best fitted with the pseudo-first-order model ( R <superscript>2</superscript> = 0.9877), and the Langmuir model could describe the adsorption process ( R <superscript>2</superscript> = 0.9979), suggesting a monolayer covering. The practical application of the sorbent for LTL detection in Lonicera japonica Thunb samples showed recoveries in the range of 84.5-108.7%. Therefore, the strategy offers a fresh avenue for the extraction and purification of LTL.

Details

Language :
English
ISSN :
1759-9679
Volume :
15
Issue :
7
Database :
MEDLINE
Journal :
Analytical methods : advancing methods and applications
Publication Type :
Academic Journal
Accession number :
36688606
Full Text :
https://doi.org/10.1039/d2ay02044k