Abstract

Antibiotics contamination in food products is of increasing concern due to their potential threat on human health. Herein solid-phase extraction based on magnetic molecularly imprinted polymers coupled with internal extractive electrospray ionization mass spectrometry (MMIPs-SPE-iEESI-MS) was designed for the quantitative analysis of trace fluoroquinolones (FQs) in raw milk samples. FQs in the raw milk sample (2 mL) were selectively captured by the easily-lab-made magnetic molecularly imprinted polymers (MMIPs), and then directly eluted by 100 µL electrospraying solvent biased with +3.0 kV to produce protonated FQs ions for mass spectrometric characterization. Satisfactory analytical performance was obtained in the quantitative analysis of three kinds of FQs (i.e., norfloxacin, enoxacin, and fleroxacin). For all the samples tested, the established method showed a low limit of detection (LOD ≤ 0.03 µg L−1) and a high analysis speed (≤4 min per sample). The analytical performance for real sample analysis was validated by a nationally standardized protocol using LC-MS, resulting in acceptable relative error values from −5.8% to +6.9% for 6 tested samples. Our results demonstrate that MMIPs-SPE-iEESI-MS is a new strategy for the quantitative analysis of FQs in complex biological mixtures such as raw milk, showing promising applications in food safety control and biofluid sample analysis.

Highlights

  • Conventional analytical methods including microbiological methods[14], electrochemical method[15], fluorospectrophotometry[16], high performance thin layer chromatography (HPTLC)[17], high performance liquid chromatography with ultraviolet detector (HPLC-UV)[18], high performance liquid chromatography mass spectrometry (HPLC-MS)[19] and enzyme immunoassay[20] have been applied to the detection of FQs in environment water, foodstuffs, and biofluid samples, etc

  • Benefited by the high ionization energy, the primary ions generated by electric field have been employed in many ambient ionization technologies including direct analysis in real time (DART)[30], low temperature plasma (LTP)[31], microwave plasma torch (MPT)[32], plasma assisted laser desorption ionization (PALDI)[33], dielectric barrier discharge ionization (DBDI)[34], desorption atmospheric pressure chemical ionization (DAPCI)[35], etc., which are of unique advantages for the preparation of specific analytes ions from raw samples

  • Our results demonstrate that the established molecularly imprinted polymers (MMIPs)-SPE-iEESI-MS is a powerful method for the quantitative analysis of FQs in raw milk samples, providing potential application value in other biofluid sample analysis

Read more

Summary

Introduction

Conventional analytical methods including microbiological methods[14], electrochemical method[15], fluorospectrophotometry[16], high performance thin layer chromatography (HPTLC)[17], high performance liquid chromatography with ultraviolet detector (HPLC-UV)[18], high performance liquid chromatography mass spectrometry (HPLC-MS)[19] and enzyme immunoassay[20] have been applied to the detection of FQs in environment water, foodstuffs, and biofluid samples, etc. Ambient mass spectrometry (AMS) allows the direct analysis of complex samples with high speed, high selectivity, and high sensitivity[22,23,24]. Fast and facile sample pretreatment methods (e.g., solid-phase microextraction (SPME)[36,37], magnetic solid-phase extraction (MSPE)[38], thin-layer chromatography[39], solid phase mesh enhanced sorption from headspace (SPMESH)[40], etc.) combined with AMS has been developed for direct analysis of trace target analytes in various highly complex samples (e.g., biological, environmental, food, forensic samples, or even individual small organism), which greatly improved the sensitivity and selectivity of AMS. Our results demonstrate that the established MMIPs-SPE-iEESI-MS is a powerful method for the quantitative analysis of FQs in raw milk samples, providing potential application value in other biofluid sample analysis

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call