Signal interference between drugs and metabolites in LC-ESI-MS quantitative analysis and its evaluation strategyOA
Signal interference between drugs and metabolites in LC-ESI-MS quantitative analysis and its evaluation strategy
Liquid chromatography-electrospray ionization tandem mass spectrometry(LC-ESI-MS)is a widely utilized technique for in vivo pharmaceutical analysis.Ionization interference within electrospray ion source,occurring between drugs and metabolites,can lead to signal variations,potentially compromising quantitative accuracy.Currently,method validation often overlooks this type of signal interference,which may result in systematic errors in quantitative results without matrix-matched calibration.In this study,we conducted an investigation using ten different groups of drugs and their corresponding me-tabolites across three LC-ESI-MS systems to assess the prevalence of signal interference.Such in-terferences can potentially cause or enhance nonlinearity in the calibration curves of drugs and metabolites,thereby altering the relationship between analyte response and concentration for quanti-fication.Finally,we established an evaluation scheme through a step-by-step dilution assay and employed three resolution methods:chromatographic separation,dilution,and stable labeled isotope internal standards correction.The above strategies were integrated into the method establishment process to improve quantitative accuracy.
Fulin Jiang;Jingyu Liu;Yagang Li;Zihan Lu;Qian Liu;Yunhui Xing;Janshon Zhu;Min Huang;Guoping Zhong
Institute of Clinical Pharmacology,School of Pharmaceutical Sciences,Sun Yat-sen University,Guangzhou,510080,China||Guangdong RangerBio Technologies Co.,Ltd.,Dongguan,Guangdong,523000,ChinaInstitute of Clinical Pharmacology,School of Pharmaceutical Sciences,Sun Yat-sen University,Guangzhou,510080,ChinaGuangdong RangerBio Technologies Co.,Ltd.,Dongguan,Guangdong,523000,China
Liquid chromatography-electrosprayionization tandem mass spectrometry(LC-ESI-MS)DrugsMetabolitesIonization interferenceQuantitative analysis
《药物分析学报(英文)》 2024 (007)
1024-1034 / 11
The authors appreciate the financial support provided by the National Natural Science Foundation of China(Grant No.:82173776),Natural Science Foundation of Guangdong Province,China(Grant No.:2021A1515010574),and Guangdong Basic and Applied Basic Research Foundation,China(Grant No.:2021A1515110346).
评论