Abstract：
Therapeutic monitoring of drugs, particularly those with multiple metabolites, can be time-consuming and labor-intensive due to the need for different analytical methods depending on the specific metabolite or matrix of interest. In this study, we employed a heart-cutting 2D-LC separation method based on the coupling of reversed-phase and mixed-mode mechanisms to determine Favipiravir and surrogates of five main metabolites. This approach was applied to serum, plasma, urine, and human peripheral blood mononuclear cells. The method underwent validation to ensure its reliability. The findings highlight the potential of 2D-LC as a practical and efficient approach for therapeutic drug monitoring.
摘要：
药物治疗监测，特别是那些有多种代谢物的，由于需要不同的分析方法，这取决于感兴趣的特定代谢物或基质，因此可能是耗时且费力的。在这项研究中,我们采用基于反相和混合模式机制耦合的切心2D-LC分离方法来确定Favipiravir和5种主要代谢物的替代物.这种方法适用于血清，等离子体,尿液,和人外周血单核细胞。该方法经过验证以确保其可靠性。这些发现强调了2D-LC作为治疗药物监测的实用和有效方法的潜力。
