首页> 外文期刊>Journal of Analytical & Applied Pyrolysis >Post-optimization of Py-GC/MS data: A case study using a new digital chemical noise reduction filter (NOISERA) to enhance the data quality utilizing OpenChrom mass spectrometric software
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Post-optimization of Py-GC/MS data: A case study using a new digital chemical noise reduction filter (NOISERA) to enhance the data quality utilizing OpenChrom mass spectrometric software

机译:Py-GC / MS数据的后优化:使用新型数字化学降噪滤波器(NOISERA)的案例研究,以利用OpenChrom质谱软件提高数据质量

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Noise is a known drawback in the mass spectrometric analysis of chromatographic data. Different tech-niques exist to avoid or to remove noise before and after data acquisition. Noise occurs in two different types, electronic and chemical. The former can be lowered by applying smoothing filters. The latter needs more sophisticated methods since the distinction between chemical noise and real chromato-graphic data is not straightforward. Several approaches have been published with different scopes and algorithms. This work describes a new algorithm (NOISERA - Noise Reduction Algorithm) for a dynamic reduction of chemical noise in mass spectrometric, chromatographic data of nominal mass resolution. It offers an approach to detect and to reduce chemical noise with a minimum of required user interaction and adjustments. Due to the assumption, that chemical noise varies in its intensity and is dependent of the time, the algorithm tries to calculate and reduce noise locally along the retention time axis. Electronic noise will not be covered by the presented algorithm. It can be reduced by applying further filters, since OpenChrom provides methods for smoothing.The presented algorithm NOISERA is capable of reducing noise with minimal user interaction. It combines existing ideas and extends them to achieve a parameter-free chemical noise detection and reduction. NOISERA improves the signal-to-noise ratio of peaks, but as a drawback of all chemical noise filters, it tends to remove either too much, respectively, not enough data from chromatograms than necessary. That is why the algorithm should not be used without supervision of an analyst. The noise reduction filter NOISERA is available as a plug-in for OpenChrom and is released under the Eclipse Pub-lic License 1.0 (EPL). OpenChrom is available free of charge at http://www.openchrom.net. The noise reduction algorithm NOISERA is included in the latest OpenChrom release.
机译:噪声是色谱数据质谱分析中的一个已知缺点。存在不同的技术来避免或消除数据采集前后的噪声。噪声以电子和化学两种不同类型发生。可以通过应用平滑滤波器来降低前者。后者需要更复杂的方法,因为化学噪声和实际色谱数据之间的区别并不简单。已经发布了具有不同范围和算法的几种方法。这项工作描述了一种新算法(NOISERA-降噪算法),用于动态降低标称质量分辨率的质谱,色谱数据中的化学噪声。它提供了一种方法,可以通过最少的用户交互和调整来检测和减少化学噪声。由于存在这样的假设,即化学噪声的强度会发生变化并且取决于时间,因此该算法会尝试沿保留时间轴局部计算和减少噪声。所提出的算法不会涵盖电子噪声。由于OpenChrom提供了平滑方法,因此可以通过应用其他滤波器来减少噪声。本文提出的算法NOISERA能够以最少的用户交互来减少噪声。它结合了现有思想,并将其扩展以实现无参数的化学噪声检测和降低。 NOISERA改善了峰的信噪比,但作为所有化学噪声过滤器的缺点,它倾向于分别去除过多或不足的色谱图数据。这就是为什么在没有分析师监督的情况下不应使用该算法的原因。降噪滤波器NOISERA可作为OpenChrom的插件使用,并根据Eclipse Pub-lic License 1.0(EPL)发布。 OpenChrom可从http://www.openchrom.net免费获得。降噪算法NOISERA包含在最新的OpenChrom版本中。

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