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Orbitool: a software tool for analyzing online Orbitrap mass spectrometry data

机译:orbitool:用于分析在线orbitrap质谱数据的软件工具

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摘要

The Orbitrap mass spectrometer has recently been proved to be a powerful instrument to accurately measure gas-phase and particle-phase organic compounds with a greater mass resolving power than other widely used online mass spectrometers in atmospheric sciences. We develop an open-source software tool (Orbitool, https://orbitrap.catalyse.cnrs.fr , last access: 4?February 2021) to facilitate the analysis of long-term online Orbitrap data. Orbitool can average long-term data while improving the mass accuracy by re-calibrating each mass spectrum, assign molecular formulae of compounds and their isotopes to measured signals, and export time series and mass defect plots. The noise reduction procedure in Orbitool can separate signal peaks from noise and reduce the computational and storage expenses. Chemical ionization Orbitrap data from laboratory experiments on ozonolysis of monoterpenes and ambient measurements in urban Shanghai were used to test Orbitool. For the test dataset, the average mass accuracy was improved from? 2 to? 0.5 ? ppm by mass calibrating each spectrum. The denoising procedure removed 97?% of the noise peaks from a spectrum averaged for 30? min while maintaining the signal peaks, substantially helping the automatic assignment of unknown species. To illustrate the capabilities of Orbitool, we used the most challenging and complex dataset we have collected so far, which consists of ambient gas-phase measurements in urban Shanghai. These tests showed that Orbitool was able to automatically assign hundreds of molecular formulae as well as their isotopes with high accuracy.
机译:最近被证明的侧面光谱仪是一种强大的仪器,可以精确地测量具有比其他广泛使用的大气科学中的广泛使用的在线质谱仪更大的质量分辨率的气相和颗粒相机化合物。我们开发一个开源软件工具(Orbitool,https://orbitrap.cataly.cnrs.fr,上次访问:4?2月2021),以促进长期在线orbitrap数据的分析。奥贝尔可以通过重新校准每个质谱来提高质量准确性的同时平均长期数据,将化合物的分子公式分配给测量的信号,以及出口时间序列和质量缺陷地块。 Orbitool中的降噪过程可以将信号峰与噪声分开并降低计算和存储费用。从城市上海臭氧溶解和环境测量的实验室实验中的化学离子轨道数据用于测试奥贝尔。对于测试数据集,平均质量精度从? & 2到? & 0.5? PPM通过质量校准每个光谱。从平均30的光谱中取出了97个噪声峰的97? min同时保持信号峰,基本上有助于自动分配未知物种。为了说明摩特醇的能力,我们使用了到目前为止所收集的最具挑战性和复杂的数据集,这由城市上海城市的环境气相测量组成。这些测试表明,镁钛能够以高精度地自动分配数百种分子公式以及它们的同位素。

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