Comparison of bracketing calibration and classical calibration curve quantification methods in establishing a candidate reference measurement procedure for human serum 17β-estradiol by isotope dilution liquid chromatography tandem mass spectrometry

同位素稀释 色谱法 校准 校准曲线 括号(现象学) 液相色谱-质谱法 化学 串联质谱法 质谱法 串联 分析化学(期刊) 材料科学 检出限 数学 统计 哲学 复合材料 认识论
作者
Qiaoxuan Zhang,Zhiliang Cai,Yingyi Liu,Haibiao Lin,Qiqin Wang,Jun Yan,Liqiao Han,Jianbing Wang,Peifeng Ke,Junhua Zhang,Xianzhang Huang
出处
期刊:Microchemical Journal [Elsevier BV]
卷期号:152: 104270-104270 被引量:6
标识
DOI:10.1016/j.microc.2019.104270
摘要

Abstract A highly accurate liquid chromatography tandam mass spectrometry (LC–MS/MS) based candidate reference measurement procedure (cRMP) for the determination of human serum 17β-estradiol (E2) was developed. A bracketing calibration method (BCM) based on internal standard (IS) concentrations for each sample used to best match the analyte concentration was compared to the classical calibration curve-based method with a constant IS concentration. Precision was analyzed according to the inter-assay reproducibility (n = 15) and intra-assay repeatability (n = 9). Accuracy was confirmed using certified reference materials (CRMs) and further validated by comparison to the established RMPs. Sixty patient serum samples were collected, and the E2 levels were measured by the BCM isotope dilution (ID) procedure coupled with the LC–MS/MS method to evaluate three immunoassays commonly used in clinical laboratories in China. Limits of quantification (LoQ) as low as 5 pg/mL (18 pmol/L) were achieved. The isomer of E2 (17α-estradiol) was successfully separated by optimizing the LC method. The results of method validation showed that the intra- and inter-assay imprecisions were 1.84 ∼ 2.91% vs 2.08 ∼ 9.53%, while the analytical recoveries were 98.73 ∼ 100.77% vs 93.72 ∼ 102.39% for the BCM and classical calibration curve quantification method, and the BCM demonstrated a higher agreement with CRMs and established RMPs. Bland-Altman plots of the E2 results revealed concentration-dependent biases. In conclusion, a precise, facile, and reliable ID-LC–MS/MS method is developed in this study. It is demonstrated that the use of the BCM could achieve higher precision and accuracy, which better meet the needs of RMPs.
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