使用独立于平台的工作流程,简化聚化的量化和数据协调
Idoia Beloki Ezker1, Bo Yuan2, Anders Røsrud Borgen3
1Department of Physics, Chemistry and Biology (IFM), Linköping University, 581 83 Linköping, Sweden.
Environmental science & technology
|October 9, 2025
概括
定量聚化 (PCAs) 是一个挑战,但新的CPxplorer软件可以在各种环境样本中进行准确的测量. 该工具简化了复杂的数据处理,以实现可靠的环境监测.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 质谱测量质量谱测量
背景情况:
- 聚醇干 (PCA) 是环境污染物,需要精确量化进行研究.
- 现有的PCA量化方法复杂,耗时,需要专门的算法.
- 高分辨率质谱数据由于众多同类组和潜在干扰而存在挑战.
研究的目的:
- 开发和验证一个精简的工作流程,以可靠量化多化 (PCAs) 在各种环境矩阵中的可靠量化.
- 推出CPxplorer,一个集成的软件解决方案,旨在简化PCA数据处理和分析.
- 为了实现PCA的仪器独立和定量分析,克服现有的定性工具的局限性.
主要方法:
- CPxplorer集成了三个模块:用于目标离子生成的CPions,用于数据处理和干扰评估的Skyline,以及用于解卷和度报告的CPquant.
- 工作流程使用NIST-SRM-2585尘埃和ERM-CE100鱼组织标准进行评估.
- 该软件进一步应用于各种矩阵,包括室内灰尘,有机薄膜,腕带和食品样本.
主要成果:
- CPxplorer提供了来自各种仪器的不同原始数据格式的可比量化结果.
- 该软件成功应用于各种环境和生物样本,证明了其在监测中的实用性.
- CPxplorer允许定量输出,减少处理时间,并将分析扩展到BCA和OH-PCA等相关化合物.
结论:
- CPxplorer显著简化了PCA的量化,使复杂的分析更容易获得.
- 该软件使研究人员能够在不同的分析平台和矩阵上获得可靠和可比的PCA数据.
- CPxplorer通过提供强大的PCA和相关物质定量分析工具来推进环境和生物监测.
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