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Rapid Validated UPLC-MS/MS Method for Determination of Glibenclamide in Rat Plasma

机译:快速有效的UPLC-MS / MS方法测定大鼠血浆中的格列本脲

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摘要

Quick and specific bioanalytical methods are required for analyzing drugs in biological samples. A simple, quick, sensitive, and specific UPLC-MS/MS method was developed and validated for glibenclamide determination in plasma samples. The plasma samples were processed by protein precipitation technique. Glimepiride was used as internal standard (IS). Glibenclamide and glimepiride were eluted on C18 column (Acquity UPLC®BEH). Mobile phase consisting of acetonitrile (0.1% formic acid) and water (0.1% formic acid) was pumped in binary gradient mode at flow rate of 150 μL/min. Glibenclamide and IS elution time was about 1.0 min, and total run time was 2.0 min. The mass spectrometer (triple-quadrupole) was operated in positive electrospray ionization mode. Sodium adducts [M + Na]+ of glibenclamide and IS were monitored in MRM mode. A linear calibration curve was obtained in the range of 10-1280 ng/mL, with regression equation Y = 0.0076 X – 0.0165 and linear regression coefficient r2 = 0.999. Lower limit of quantitation was 10 ng/mL. Accuracy of the method at LQC, MQC, and HQC was 109.7% (± 6.7), 93.6% (± 0.4), and 99.3% (± 1.9), respectively. The coefficient of variation for precision at all QC concentrations was less than 6%. Recovery at LLQC, MQC, and HQC was 104.2% (± 4.9), 100.6% (± 0.9), and 102.9% (± 5.8), respectively. The method was successfully implemented for pharmacokinetic investigations (in-house data).
机译:需要快速而具体的生物分析方法来分析生物样品中的药物。开发了一种简单,快速,灵敏且特有的UPLC-MS / MS方法,并验证了该方法可用于血浆样品中的格列本脲测定。血浆样品通过蛋白质沉淀技术处理。格列美脲被用作内标(IS)。格列本脲和格列美脲在C18柱上洗脱(AcquityUPLC®BEH)。由乙腈(0.1%甲酸)和水(0.1%甲酸)组成的流动相以二元梯度模式以150μL/ min的流速泵入。格列本脲和IS洗脱时间约为1.0分钟,总运行时间为2.0分钟。质谱仪(三重四极杆)以正电喷雾电离模式运行。在MRM模式下监测格列本脲和IS的钠加合物[M + Na] + 。得到的线性校准曲线在10-1280 ng / mL范围内,回归方程Y = 0.0076 X – 0.0165,线性回归系数r 2 = 0.999。定量下限为10 ng / mL。该方法在LQC,MQC和HQC的准确性分别为109.7%(±6.7),93.6%(±0.4)和99.3%(±1.9)。在所有QC浓度下,精密度的变异系数均小于6%。 LLQC,MQC和HQC的回收率分别为104.2%(±4.9),100.6%(±0.9)和102.9%(±5.8)。该方法已成功用于药代动力学研究(内部数据)。

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