在没有内部校准器的情况下通过FT-ICR质谱仪的质量差异分析进行内部校准
Ryan P Rodgers1,2,3,4, Christopher L Hendrickson1,2,4, Christopher A Holder Montenegro4
1National High Magnetic Field Laboratory, Tallahassee, FL 32310, United States.
Analytical chemistry
|August 19, 2025
概括
本研究引入了一种使用质量差的自动质谱校准方法,实现复杂样本分析的高精度. 开源的PyC2MC软件平台促进了分子公式分配和批处理.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 计算化学的计算化学
背景情况:
- 传统的质谱校准依赖于内部校准器,这对于复杂的样本可能是有问题的.
- 精确的质量校准对于自信的元素和分子公式分配至关重要.
研究的目的:
- 开发和验证使用质量差的全自动质谱校准方法.
- 为了提高复杂混合物的分子公式分配的准确性和效率.
主要方法:
- 介绍用于元素公式赋值的质量差频谱.
- 优化测量的质量差异,以重新校准到未知质量的ppm以下误差.
- 开发一个"行走"校准使用矩阵交叉分子公式.
- 在开源Python平台中的实现,PyC2MC.
主要成果:
- 自信的元素公式从丰富的质量差异 (0-50 Da) 中分配,即使初始校准不佳.
- 再校准达到80ppb的平均平方根误差.
- 对包括石油,有机物质,聚合物和电池在内的各种复杂样品的成功应用.
- 鉴定各种化学过程中产生的特征性质量差异.
结论:
- 这种基于质量差的新校准方法为复杂的质谱数据提供了强大的自动化方法.
- 通过PyC2MC,可以高效地处理时间解析的数据,并准确地确定分子公式.
- 这种方法增强了复杂化学系统和过程的分析.
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