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Chemometr Intell Lab Syst. 2011 Mar 15;106(1):131-141. doi: 10.1016/j.chemolab.2010.07.008.
2
Probability of failure of the watershed algorithm for peak detection in comprehensive two-dimensional chromatography.峰检测的分水岭算法在全二维色谱中失效的可能性。
J Chromatogr A. 2010 Feb 19;1217(8):1375-85. doi: 10.1016/j.chroma.2009.12.063. Epub 2010 Jan 4.
3
Two-dimensional wavelet analysis based classification of gas chromatogram differential mobility spectrometry signals.基于二维小波分析的气相色谱-差分迁移谱信号分类
Anal Chim Acta. 2009 Aug 4;647(1):46-53. doi: 10.1016/j.aca.2009.05.029. Epub 2009 May 25.
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Comparison of differential mobility spectrometry and mass spectrometry for gas chromatographic detection of ignitable liquids from fire debris using projected difference resolution.使用投影差异分辨率对离子迁移谱法和质谱法在气相色谱检测火灾残骸中可燃液体方面的比较。
Anal Bioanal Chem. 2009 Aug;394(8):2061-7. doi: 10.1007/s00216-009-2786-9. Epub 2009 Apr 25.
5
Discrimination of bacteria using pyrolysis-gas chromatography-differential mobility spectrometry (Py-GC-DMS) and chemometrics.利用热裂解气相色谱-差分迁移率谱法(Py-GC-DMS)和化学计量学对细菌进行鉴别。
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Joint analysis of differential mobility spectrometer and mass spectrometer features for tuberculosis biomarkers.
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Constituents with independence from growth temperature for bacteria using pyrolysis-gas chromatography/differential mobility spectrometry with analysis of variance and principal component analysis.
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Increasing analytical space in gas chromatography-differential mobility spectrometry with dispersion field amplitude programming.通过色散场幅度编程增加气相色谱-差分离子迁移谱中的分析空间。
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Pattern recognition analysis of differential mobility spectra with classification by chemical family.基于化学类别分类的差分迁移谱模式识别分析
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用于气相色谱-差分迁移谱的自动峰检测和匹配算法。

Automated peak detection and matching algorithm for gas chromatography-differential mobility spectrometry.

机构信息

Centre for Chemometrics, School of Chemistry, University of Bristol, Cantocks Close, Bristol, UK.

出版信息

Anal Chem. 2011 Mar 1;83(5):1537-46. doi: 10.1021/ac102110y. Epub 2011 Jan 4.

DOI:10.1021/ac102110y
PMID:21204557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3694766/
Abstract

A gas chromatography-differential mobility spectrometer (GC-DMS) involves a portable and selective mass analyzer that may be applied to chemical detection in the field. Existing approaches examine whole profiles and do not attempt to resolve peaks. A new approach for peak detection in the 2D GC-DMS chromatograms is reported. This method is demonstrated on three case studies: a simulated case study; a case study of headspace gas analysis of Mycobacterium tuberculosis (MTb) cultures consisting of three matching GC-DMS and GC-MS chromatograms; a case study consisting of 41 GC-DMS chromatograms of headspace gas analysis of MTb culture and media.

摘要

气相色谱-差分迁移率谱仪(GC-DMS)涉及一种便携式、选择性的质量分析仪,可用于现场的化学检测。现有的方法检查整个轮廓,并不试图解析峰。本文报道了一种二维 GC-DMS 色谱中峰检测的新方法。该方法在三个案例研究中得到了验证:一个模拟案例研究;一个包含三个匹配的 GC-DMS 和 GC-MS 色谱的分枝杆菌(MTb)培养物顶空气体分析的案例研究;一个包含 41 个 MTb 培养物和培养基顶空气体分析的 GC-DMS 色谱的案例研究。