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Global Spectral Deconvolution Based on Non-Negative Matrix Factorization in GC x GC-HRTOFMS

机译:GC x GC-HRTOFMS中基于非负矩阵分解的全局谱去卷积

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A global spectral deconvolution, based on non-negative matrix factorization (NMF) in comprehensive two-dimensional gas chromatography high-resolution time-of-flight mass spectrometry, was developed. We evaluated the ability of various instrumental parameters and NMF settings to derive high-performance detection in nontarget screening using a sediment sample. To evaluate the performance of the process, a NIST library search was used to identify the deconvoluted spectra. Differences of the instrumental scan rates (25 and 50 Hz) in deconvolution were evaluated and results show that a high scan rate enhanced the number of compounds detected in the sediment sample. A higher mass resolution in the range of 1 000 to 10 000 and a higher m/z precision in the deconvolution were needed to obtain an accurate mass database. After removal of multiple duplicate hits, which occurred in batch processes of NIST library search on the deconvolution result, 62 unique assignable spectra with a match factor >= 900 were obtained in the deconvoluted chromatogram from the sediment sample, including 54 spectra that were refined by the deconvolution. This method will help to detect and build up well-resolved reference spectra from various complex mixtures and will accelerate nontarget screening.
机译:基于非负矩阵分解(NMF)的二维二维气相色谱高分辨率飞行时间质谱中的全局光谱反卷积。我们评估了各种仪器参数和NMF设置在使用沉积物样品进行非目标筛查中获得高性能检测的能力。为了评估该过程的性能,使用了NIST库搜索来识别去卷积光谱。对反褶积中仪器扫描速率(25和50 Hz)的差异进行了评估,结果表明,高扫描速率可提高沉积物样品中检测到的化合物的数量。为了获得准确的质量数据库,需要在1 000到10000范围内的更高质量分辨率和反卷积中更高的m / z精度。在去除NIST库检索反卷积结果的批处理过程中发生的多个重复命中后,从沉淀物样品中的反褶积色谱图中获得了62个匹配系数> = 900的独特可分配光谱,其中54个光谱已通过精制反卷积。该方法将有助于从各种复杂混合物中检测并建立良好解析的参考光谱,并加快非目标物的筛选。

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