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采用基于三线性分解算法的二阶校正方法,结合二极管阵列检测器高效液相色谱法测定蜂蜜样品中的喹诺酮类药物。

Using second-order calibration method based on trilinear decomposition algorithms coupled with high performance liquid chromatography with diode array detector for determination of quinolones in honey samples.

机构信息

State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, China.

出版信息

Talanta. 2011 Sep 15;85(3):1549-59. doi: 10.1016/j.talanta.2011.06.044. Epub 2011 Jun 21.

Abstract

A novel strategy that combines the second-order calibration method based on the trilinear decomposition algorithms with high performance liquid chromatography with diode array detector (HPLC-DAD) was developed to mathematically separate the overlapped peaks and to quantify quinolones in honey samples. The HPLC-DAD data were obtained within a short time in isocratic mode. The developed method could be applied to determine 12 quinolones at the same time even in the presence of uncalibrated interfering components in complex background. To access the performance of the proposed strategy for the determination of quinolones in honey samples, the figures of merit were employed. The limits of quantitation for all analytes were within the range 1.2-56.7 μg kg(-1). The work presented in this paper illustrated the suitability and interesting potential of combining second-order calibration method with second-order analytical instrument for multi-residue analysis in honey samples.

摘要

建立了一种将基于三线性分解算法的二阶校正方法与高效液相色谱-二极管阵列检测(HPLC-DAD)相结合的新策略,以数学方式分离重叠峰并对蜂蜜样品中的喹诺酮类物质进行定量分析。该方法在等度模式下可以在短时间内获得 HPLC-DAD 数据。即使在复杂背景中存在未经校准的干扰成分,该方法也可以同时测定 12 种喹诺酮类物质。为了评估该方法在蜂蜜样品中测定喹诺酮类物质的性能,采用了评价指标。所有分析物的定量限均在 1.2-56.7μgkg(-1)范围内。本文的工作说明了将二阶校正方法与二阶分析仪器相结合用于蜂蜜样品中多残留分析的适用性和有趣的潜力。

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