HPLC质谱法快速测定人尿雌激素及雌激素代谢物

IF 4.9 2区 化学 Q1 CHEMISTRY, ANALYTICAL
Jia You , Ying Shi , Jiaqi Li , Xiaoqin Yang , Zeyu Liu , Wenli Zhu , Zhigang Wu , Jingyuan Xiong
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引用次数: 7

摘要

雌激素和雌激素代谢产物具有不同的生物学特性,雌激素代谢的个体模式可能影响乳腺癌的风险。建立了一种快速、灵敏、准确的HPLC-MS同时测定尿液中雌激素和代谢物的方法。该方法已被验证并应用于乳腺癌患者的分析。与以往的方法相比,该方法大大缩短了分析时间,首次可以在10 min内同时测量人尿雌激素和代谢物。由于其灵敏度、特异性和高通量,它非常适合商业诊断实验室使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid quantification of human urinary estrogens and estrogen metabolites by HPLC mass spectrometry

Estrogens and estrogen metabolites have different biological properties and the individual patterns of estrogen metabolism may influence the risk of breast cancer. A rapid, sensitive and accurate HPLC-MS method for simultaneously measuring estrogens and metabolites in urine samples has been developed and validated. The method was validated and applied for analysis of breast cancer patients. Compared with previous methods, this method greatly reduces analysis time and allows for simultaneous measurement of human urinary estrogens and metabolites within 10 min for the first time. It is perfectly suitable for commercial diagnostic laboratory use due to its sensitivity, specificity and high throughput.

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来源期刊
Microchemical Journal
Microchemical Journal 化学-分析化学
CiteScore
8.70
自引率
8.30%
发文量
1131
审稿时长
1.9 months
期刊介绍: The Microchemical Journal is a peer reviewed journal devoted to all aspects and phases of analytical chemistry and chemical analysis. The Microchemical Journal publishes articles which are at the forefront of modern analytical chemistry and cover innovations in the techniques to the finest possible limits. This includes fundamental aspects, instrumentation, new developments, innovative and novel methods and applications including environmental and clinical field. Traditional classical analytical methods such as spectrophotometry and titrimetry as well as established instrumentation methods such as flame and graphite furnace atomic absorption spectrometry, gas chromatography, and modified glassy or carbon electrode electrochemical methods will be considered, provided they show significant improvements and novelty compared to the established methods.
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