Miniaturized solid-phase extraction of macrolide antibiotics in honey and bovine milk using mesoporous MCM-41 silica as sorbent
Autor: | Jun Cao, Hu Yuhan, Li-Jing Du, Ling Yi, Li-Hong Ye, Yu-Ting Shi, Li-Qing Peng, Yu-Bo Chen, Qiu-Yan Wang |
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Rok vydání: | 2017 |
Předmět: |
Sorbent
02 engineering and technology Tandem mass spectrometry 01 natural sciences Biochemistry Analytical Chemistry Limit of Detection Tandem Mass Spectrometry medicine Animals Solid phase extraction Chromatography High Pressure Liquid Detection limit Chromatography Chemistry Elution Roxithromycin 010401 analytical chemistry Organic Chemistry Extraction (chemistry) Solid Phase Extraction Reproducibility of Results General Medicine Honey 021001 nanoscience & nanotechnology Silicon Dioxide 0104 chemical sciences Anti-Bacterial Agents Milk Solvents Cattle Macrolides 0210 nano-technology Mesoporous material Food Analysis medicine.drug |
Zdroj: | Journal of chromatography. A. 1537 |
ISSN: | 1873-3778 |
Popis: | A simple and effective method of miniaturized solid-phase extraction (mini-SPE) was developed for the simultaneous purification and enrichment of macrolide antibiotics (MACs) (i.e. azithromycin, clarithromycin, erythromycin, lincomycin and roxithromycin) from honey and skim milk. Mesoporous MCM-41 silica was synthesized and used as sorbent in mini-SPE. Several key parameters affecting the performance of mini-SPE procedure were thoroughly investigated, including sorbent materials, amount of sorbent and elution solvents. Under the optimized condition, satisfactory linearity (r2 > 0.99), acceptable precision (RSDs, 0.3–7.1%), high sensitivity (limit of detection in the range of 0.01–0.76 μg/kg), and good recoveries (83.21–105.34%) were obtained. With distinct advantages of simplicity, reliability and minimal sample requirement, the proposed mini-SPE procedure coupled with ultrahigh performance liquid chromatography and quadrupole time-of-flight tandem mass spectrometry could become an alternative tool to analyze the residues of MACs in complex food matrixes. |
Databáze: | OpenAIRE |
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