Development of an automated immunologic mass spectrometry (iMS) method to overcome matrix effect for quantification: Steroid hormones as the example.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2025-01-01 Epub Date: 2024-10-12 DOI:10.1016/j.talanta.2024.127041
Xiaoyi Yi, Xijiu Li, Huanchang Luo, Guanfeng Lin, Jianwei Zhou, Yufeng Xiong, Yingsong Wu
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Abstract

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) shows great promise in clinical application for its high specificity, high sensitivity and wide linear range for the determination of small molecules. However, its application in clinical laboratory is hampered by matrix effect of clinical samples which could greatly affect quantification accuracy and the difficulty to be automated for the traditional sample preparation procedures. Thus, new techniques which could achieve selective enrichment to minimize matrix effect and automatic sample preparation of mass spectrometry are needed. We developed an immunologic mass spectrometry (iMS) method to overcome matrix effect and its clinical application was demonstrated for automatic analysis of testosterone (T), progesterone (P) and estradiol (E2) in human serum simultaneously. Firstly, three monoclonal antibodies were coupled to magnetic beads for selective enrichment of target hormones from serum. The immunomagnetic beads were separated, washed and eluted automatically for LC-MS/MS analysis. Analytical performance of the iMS method was validated and compared with traditional LC-MS/MS and chemiluminescence immunoassay (CLIA). Hormone levels were measured for 160 pregnancy women at different gestational weeks. Results showed that target hormones could be selectively captured with absolute recoveries of 93.9%-110.8 %. Relative responses for high, medium and low concentrations of the hormones between serum and methanol solution were 98.0%-109.7 %, 92.2%-105.3 % and 91.7%-96.0 % for T, P and E2, respectively. Calibration curves prepared in methanol solution, BSA solution and blank serum showed good consistency for the iMS method. The automated iMS method could overcome matrix effect of LC-MS/MS and cross-reaction of CLIA. Matrix effect of the iMS method was negligible as high specificity of target hormone enrichment before LC-MS/MS analysis. Matrix-matched calibration standards were no longer necessary for accurate quantification, which was of great benefit for the clinical application of mass spetrometry.

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开发克服基质效应的自动免疫质谱(iMS)定量方法:以类固醇激素为例。
液相色谱-串联质谱法(LC-MS/MS)具有高特异性、高灵敏度和宽线性范围,可用于测定小分子物质,因此在临床应用中大有可为。然而,临床样本的基质效应会极大地影响定量的准确性,而且传统的样本制备程序难以实现自动化,这些都阻碍了它在临床实验室中的应用。因此,需要新的技术来实现选择性富集,以减少基质效应,并实现质谱的自动样品制备。我们开发了一种克服基质效应的免疫质谱(iMS)方法,并将其应用于同时自动分析人血清中的睾酮(T)、孕酮(P)和雌二醇(E2)。首先,将三种单克隆抗体偶联到磁珠上,从血清中选择性富集目标激素。免疫磁珠经自动分离、洗涤和洗脱后进行 LC-MS/MS 分析。iMS 方法的分析性能得到了验证,并与传统的 LC-MS/MS 和化学发光免疫分析法(CLIA)进行了比较。对 160 名孕妇在不同孕周的激素水平进行了测定。结果表明,该方法可选择性地捕获目标激素,绝对回收率为 93.9%-110.8 %。血清和甲醇溶液中高、中、低浓度激素的相对回收率分别为 98.0%-109.7%、92.2%-105.3% 和 91.7%-96.0%(T、P 和 E2)。在甲醇溶液、BSA 溶液和空白血清中制备的校准曲线显示 iMS 方法具有良好的一致性。自动 iMS 方法可以克服 LC-MS/MS 的基质效应和 CLIA 的交叉反应。由于在 LC-MS/MS 分析前对目标激素进行了高特异性富集,因此 iMS 方法的基质效应可以忽略不计。基质匹配校准标准不再是准确定量的必要条件,这对质谱的临床应用大有裨益。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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