一个IROA工作流程用于纠正和规范化以质谱为基础的代谢形数据中的离子抑制
Research square
|February 14, 2024
概括
在质谱学 (MS) 代谢学中,离子抑制是一个重大挑战. 新的IROA TruQuant工作流有效地纠正离子抑制,并将数据正常化,以提高代谢学研究的准确性和精度.
科学领域:
- 分析化学 分析化学
- 生物化学 生物化学
- 代谢学 代谢学 代谢学
背景情况:
- 离子抑制是基于质谱学 (MS) 的代谢学中的一个关键问题,降低了测量准确度,精度和信号对噪声的灵敏度.
- 现有的方法很难在各种分析条件下全面解决离子抑制问题.
结论:
- IROA的TruQuant工作流有效地减轻了广泛的分析场景中的离子抑制.
- 该方法为非目标代谢数据提供了强大的规范化,提高了可靠性.
- 这种方法提高了基于MS的代谢分析的准确性和精度.
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