Preparation of hydrophilic molecularly imprinted solid‐phase microextraction fiber for the selective removal and extraction of trace tetracyclines residues in animal derived foods

Abstract

The present work reported a novel hydrophilic and selective solid-phase microextraction fiber by improved multiple co-polymerization method immobilization of tetracycline molecularly imprinted polymer on a stainless steel wire and directly coupled with high-performance liquid chromatography for sensitive determination of trace tetracyclines residues in animal derived foods. The developed molecularly imprinted polymer coated solid-phase microextraction fibers were characterized through scanning electron microscopy, Fourier transfer infrared spectroscopy, thermogravimetric analysis, and adsorption experiments, the fiber with cross-linked and porous structure was observed and high thermal and chemical stability. The maximum adsorption capacity of this fiber with good selectivity reached 2.35 µg/mg in aqueous matrices, and showed good repeatability (relative standard deviation ≤ 6.6%, n = 5) and satisfying reproducibility between fiber to fiber (relative standard deviation ≤ 7.8%, n = 5). Under the optimized solid-phase microextraction conditions, satisfactory linearity (5-1000 µg/L) and detection limits (0.38-0.72 µg/kg, S/N = 3) for all the tetracyclines were obtained. The practicality of this method was proved by adding tetracycline, oxytetracycline at three levels to milk, chicken, and fish samples with good recoveries of 77.3-104.4%. K E Y W O R D Shigh-performance liquid chromatography, hydrophilic molecularly imprinted polymers, solid-phase microextraction, tetracyclines 2172

Retracted: A review on the determination of veterinary drug residues in food products

“…Other extraction methods SPE, QuEChERS, LLE, ASE, MSPD and several other kinds of extraction techniques are employed to detect medicine residues in foods derived from animals (Table 3). Other methods include DLLME (dispersive liquid-liquid microextraction; Mookantsa et al, 2016), FPSE (fabric-phase sorptive extraction; Samanidou et al, 2015), UAE (ultrasound-assisted extraction;Chen et al, 2016), LPME (liquid-phase microextraction; Tajabadi et al, 2016), TFC (turbulent flow chromatography; Aguilera-Luiz et al, 2013), GPC (gel permeation chromatography; Chico et al, 2013), SPME (as known as solid-phase microextraction; Lu et al, 2020), SLE (solid-liquid extraction; Charitonos et al, 2017).…”

Advanced materials on sample preparation for safety analysis of aquatic products

“…Target molecules can be selectively enriched and separated by synthesizing proper MIPs with binding site, so different molecules can be purified and separated from complex aquatic samples [58,59,[97][98][99][100][101][102][103][104][105]. Lu et al [101] prepared SPME fiber with hydrophilic MIP coating for selective removal and extraction of trace tetracyclines residues in fish derived foods. Moreover, MIP can be also combined with other advanced materials to construct dual-function absorbent or sensor for the safety analysis of aquatic products ( Figure 5).…”

“…The schematic representation of tetracycline MIP‐SPME fiber preparation (reprinted from [101] with permission)…”

“…Target molecules can be selectively enriched and separated by synthesizing proper MIPs with binding site, so different molecules can be purified and separated from complex aquatic samples [58,59,97–105]. Lu et al [101] prepared SPME fiber with hydrophilic MIP coating for selective removal and extraction of trace tetracyclines residues in fish derived foods.…”

Understanding verified users' posting behavior from the perspective of human dynamics: a case study of Sina micro-blog

“…To compare the real power exponent with the power exponents of simulations in a scientific and rigorous manner, this paper applies two indicators of relative error, namely, relative error (RE) and relative SD (RSD). These two indicators are characterized by meticulousness and are usually used in medical and pharmaceutical fields (Lu et al, 2020;Zhou et al, 2004). Then, the coincidence between the simulation data and the real data (Taylor, 1997) is measured by RE and RSD, which are shown as equations ( 1) and ( 2):…”