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利用二维气相色谱/质谱联用(GCxGC/MS)图谱对一维气相色谱/质谱(1D GC/MS)数据进行处理的优势:以东亚手工纸热解产物分析为例。

Benefit of the Use of GCxGC/MS Profiles for 1D GC/MS Data Treatment Illustrated by the Analysis of Pyrolysis Products from East Asian Handmade Papers.

机构信息

Centre de Recherche sur la Conservation (CRC, USR 3224), Muséum national d'Histoire naturelle, Ministère de la Culture, CNRS, Sorbonne Universités, 36 rue Geoffroy-Saint-Hilaire CP 21, 75005, Paris, France.

出版信息

J Am Soc Mass Spectrom. 2018 Aug;29(8):1582-1593. doi: 10.1007/s13361-018-1953-7. Epub 2018 Jun 7.

DOI:10.1007/s13361-018-1953-7
PMID:29881997
Abstract

In this study, we report the use of pyrolysis-GCxGC/MS profiles for an optimized treatment of data issued from pyrolysis-GC/MS combined with the automatic deconvolution software Automated Mass Spectral Deconvolution and Identification System (AMDIS). The method was illustrated by the characterization of marker compounds of East Asian handmade papers through the examination of pyrolysis-GCxGC/MS data to get information which was used for manually identifying low concentrated and co-eluting compounds in 1D GC/MS data. The results showed that the merits of a higher separation power for co-eluting compounds and a better sensitivity for low concentration compounds offered by a GCxGC system can be used effectively for AMDIS 1D GC/MS data treatment: (i) the compound distribution in pyrolysis-GCxGC/MS profiles can be used as "peak finder" for manual check of low concentration and co-eluting compound identification in 1D GC/MS data, and (ii) pyrolysis-GCxGC/MS profiles can provide better quality mass spectra with observed higher match factors in the AMDIS automatic match process. The combination of 2D profile with AMDIS was shown to contribute efficiently to a better characterization of compound profiles in the chromatograms obtained by 1D analysis in focusing on the mass spectral identification. Graphical abstract.

摘要

在这项研究中,我们报告了使用热解-GCxGC/MS 图谱进行优化处理,以结合自动解卷积软件自动质谱解卷积和识别系统(AMDIS)处理热解-GC/MS 产生的数据。该方法通过对热解-GCxGC/MS 数据的检查,对东亚手工纸的标记化合物进行了表征,从而获得了用于手动鉴定 1D GC/MS 数据中低浓度共洗脱化合物的信息。结果表明,GCxGC 系统对共洗脱化合物的更高分离能力和对低浓度化合物的更好灵敏度的优点可有效用于 AMDIS 1D GC/MS 数据处理:(i)热解-GCxGC/MS 图谱中的化合物分布可用作“峰查找器”,用于手动检查 1D GC/MS 数据中低浓度和共洗脱化合物的鉴定,(ii)热解-GCxGC/MS 图谱可以提供更好的质谱质量图谱,在 AMDIS 自动匹配过程中观察到更高的匹配因子。事实证明,2D 图谱与 AMDIS 的结合有助于更好地对 1D 分析获得的色谱图中的化合物轮廓进行表征,重点是对光谱的鉴定。

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