通过基于自己构建的化合物数据库的二维液态染色学质谱法对甲基大质量成分进行有针对性的选和分析
Xuan Li1,2, Minwen Huang1,3, Yue-Mei Zhao1,4
1Jiangsu Institute for Food and Drug Control, Nanjing, 210019, China.
Journal of pharmaceutical analysis
|February 17, 2025
概括
控制抗生素质量需要进行深入的多素成分分析. 一种具有高分辨率质谱数据库的新2D-LC-MS方法使得甲 (CMS) 成分的全面分析成为可能.
科学领域:
- 分析化学 分析化学
- 药品分析 药品分析
- 染色体学 染色体学 是一种染色学.
背景情况:
- 聚米克辛,包括聚甲酸 (CMS),是关键的抗生素.
- 确保CMS的质量至关重要,但由于复杂的组件混合,具有挑战性.
- 在CMS组件的变化需要先进的分析技术来准确的质量控制.
研究的目的:
- 开发和验证一种二维液体染色学-质谱学 (2D-LC-MS) 方法,用于CMS的全面分析.
- 通过使用高分辨率质谱数据库,建立一个高效准确的CMS组件选方法.
- 在CMS样本中识别和描述各种未知化合物.
主要方法:
- 一种2D-LC-MS方法在第一维中优化了高度酸盐缓冲器,以提高分离.
- 开发了一种有针对性的选方法,利用使用MassHunter PCDL软件构建的定制高分辨率 (HR) 质谱数据库.
- 在应用到真实样本之前,使用六个已知的CMS组件验证了数据库和方法的准确性.
主要成果:
- 通过2D-LC-MS方法,成功分析了99个CMS组件,占总面积的95%以上.
- 分子公式,组组合和众多化合物的起源被推断出来.
- 该方法表现出高效率,在3小时内区分了数百个组件.
结论:
- 开发的2D-LC-MS方法为CMS的全面分析提供了一个强大的工具.
- 这种技术为像CMS这样的复杂抗生素药物提供了可靠和高效的质量控制.
- 建立的HR质谱数据库显著提高了CMS组件识别的准确性和范围.
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