高MW未知化合物的公式从精确的质量差异和最佳候选者的排名从第一原则
1Ionis Pharmaceuticals, 2855 Gazelle Ct., Carlsbad, California 92010, United States.
Analytical chemistry
|July 1, 2024
概括
这项研究引入了一种新的方法,使用质谱学识别高分子量未知的化合物. 这种方法显著减少了候选配方,有助于准确识别杂质.
科学领域:
- 分析化学 分析化学
- 质谱测量质量谱测量
- 有机化学 有机化学
背景情况:
- 高分辨率质谱法为高分子量未知物产生了众多候选公式.
- 在新化学品中识别杂质需要有效的方法来缩小可能性.
研究的目的:
- 开发一种方法来生成对高分子量未知化合物的可信公式的简单列表.
- 为了简化公式候选生成过程,并减少可能性的数量.
主要方法:
- 引入了与参考化合物质量差的概念.
- 通过从母化合物中添加和减去原子生成候选公式.
- 使用总原子和异原子的绝对变化乘积的排列公式.
主要成果:
- 将可能的公式数量减少了3个数量级.
- 在前10名候选人中成功排名正确的配方.
- 观察到杂质倾向于在最小的原子和异原子变化下形成.
结论:
- 开发的方法有效地缩小了高分子量未知的候选公式.
- 该方法适用于各种高分子量化合物的系统.
- 热力学值可以补充候选公式的排名.
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