Lee J W, Naidong W, Johnson T, Dzerk A, Miyabayashi T, Motohashi M
Harris Laboratories, Inc., Lincoln, NE 68502, USA.
J Chromatogr B Biomed Appl. 1995 Aug 18;670(2):287-98. doi: 10.1016/0378-4347(95)00146-8.
Column-switching HPLC methods have been developed and validated for the determination of a new antihypertensive prodrug, TCV-116 (I), and its metabolites, CV-11974 (II) and CV-15959 (III), in human serum and urine. Initial sample cleanup was achieved by extracting the analytes into an organic solvent. After chromatographing on an ODS column with a mobile phase consisting of acetonitrile and an acidic phosphate buffer, the zone of the analyte's retention was heart-cut onto a second ODS column with a mobile phase of acetonitrile and a phosphate buffer at a higher pH. Complete separation of the analytes and the endogenous peaks was accomplished by the two-dimensional chromatography. Good precision and linearity of the calibration standards, as well as the inter-day and intra-day precision and accuracy of quality control samples, were achieved. The limit of quantitation (LOQ), using 0.5 ml of serum, was 2 ng/ml for I, 0.8 ng/ml for II, and 0.5 ng/ml for III. The LOQ for urine sample was 10 ng/ml for II and III. Stability of the analytes during storage, extraction, and chromatography processes was established. The results illustrate the versatile application of column switching to method development of multiple analytes in various biological matrices. The methods have been successfully used for the analyses of I and its metabolites in thousands of clinical samples to provide pharmacokinetic data.
已开发并验证了柱切换高效液相色谱法,用于测定人血清和尿液中的一种新型抗高血压前药TCV - 116(I)及其代谢物CV - 11974(II)和CV - 15959(III)。通过将分析物萃取到有机溶剂中实现初始样品净化。在以乙腈和酸性磷酸盐缓冲液为流动相的ODS柱上进行色谱分离后,将分析物保留区中心切割至另一根ODS柱上,该柱以乙腈和较高pH值的磷酸盐缓冲液为流动相。通过二维色谱法实现了分析物与内源性峰的完全分离。校准标准品具有良好的精密度和线性,质量控制样品的日间和日内精密度及准确度也达到了要求。使用0.5 ml血清时,I的定量限(LOQ)为2 ng/ml,II为0.8 ng/ml,III为0.5 ng/ml。尿液样品中II和III的LOQ为10 ng/ml。确定了分析物在储存、萃取和色谱过程中的稳定性。结果表明柱切换在各种生物基质中多种分析物方法开发中的广泛应用。这些方法已成功用于数千份临床样品中I及其代谢物的分析,以提供药代动力学数据。