Plasma chromatography of benzene with mass identified mobility spectra

Kim, S. H.; Betty, K. R.; Karasek, F.W.

doi:10.1021/ac50035a018

Cited by 44 publications

(33 citation statements)

References 24 publications

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“…Again, when the data for piperidine and aniline are compared, ␦E C /E C is found nearly equal to zero for a ␦K/K of .094; and when the data for benzene and cyclohexane are compared, ␦E C /E C varies between 0.35 and 0.51 for a ␦K/K Ͻ 0.13. [57][58][59] These results indicate possible contribution from the f(x i K i ) term. Finally, when the data for DMMP and lutidine (both of which form dimer ions and with a similar mobility) are compared, ␦E C /E C increases from 0 to 0.43 as E C decreases from 0 to Ϫ25 V. Because the declustering of the dimer ions is the primary contribution to these data, the f(x i K i ) term appears to be an indicator of declustering activity.…”

Section: Ion Dispersionmentioning

confidence: 62%

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Fundamental considerations for the application of miniature ion mobility spectrometry to field analytical applications

Spangler¹

2000

Field Analyt. Chem. Technol.

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Section: Ion Dispersionmentioning

confidence: 62%

“…If Eqs. (32) and (33) are combined, the distance ␦l traveled by the ion during one cycle of the waveform is ϩ…”

Section: Ion Dispersionmentioning

confidence: 99%

Fundamental considerations for the application of miniature ion mobility spectrometry to field analytical applications

Spangler¹

2000

Field Analyt. Chem. Technol.

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“…The benzene spectrum is a well-known example in which the overlap of the reactant ion peak and the sample peak can be observed. 22 The drift-time spectrum for benzene at a concentration in which the dimer peak is visible was measured. Ammonium NH4 + (H2O)n and hydronium H + (H2O)n peaks appeared at drift times of 8.16 ms (K0 of 2.31 cm 2 V -1 s -1 ) and 8.72 ms (K0 of 2.15 cm 2 V -1 s -1 ), whereas the benzene dimer peak occurred at a drift time of 9.50 ms (K0 of 1.97 cm 2 V -1 s -1 ).…”

Section: Resultsmentioning

confidence: 99%

Processing of the Signal from Detectors Used in Ion Mobility Spectrometry

et al. 2010

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The output signal generated by detectors used in ion mobility spectrometry (IMS) is a time-dependent, small ionic current. To be able to take full advantage of information contained in this signal, adequate procedures of signal processing need to be utilized. Methods of spectrum filtration, peak separation, base-line correction as well as one-and twodimensional integration applied in quantitative analysis are described. The effectiveness of the chosen methods was demonstrated on examples of experimental results obtained by IMS. Measurements were performed for spectra of reactant ions and sample ions generated by acetone, methyl tert-butyl ether (MTBE), dimethyl methylphosphonate (DMMP) and benzene. It was demonstrated that the proposed methods considerably improve the quality of the spectra, increase the selectivity of detection and reduce the uncertainty of quantitative measurements.

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“…Relative drift time and reduced ion mobility of ionic species were determined in dependence on MVOC concentration. But in contrast to single MVOC, moulds are emitting a mixture of gaseous also an in many other air samples are attributed to ammonia and nitrosyl containing ionic species [22]. These species of high proton affinity give intensive peaks in the IMS spectrum and can influence the charge transfer of the proton-water-clusters to the analyte molecules.…”

Section: Analysis Of Characteristic Ims Spectra From Mould Growthmentioning

confidence: 99%

Investigation of gaseous metabolites from moulds by Ion Mobility Spectrometry (IMS) and Gas Chromatography-Mass Spectrometry (GC-MS)

Tiebe

Hübert

Koch

et al. 2010

Int. J. Ion Mobil. Spec.

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The metabolism of moulds results in the formation of various microbial volatile organic compounds (MVOCs). These substances can be used as an indicator for the presence of moulds in the indoor environment. Three different mould strains were cultivated on culture media and IMS spectra of gaseous mould metabolites were recorded using a portable mini system with a tritium source and a 5 cm drift cell. The headspace spectra are characteristic for mould species and their age. Typical gaseous components of the metabolites were identified and compared with results obtained from gas chromatography using a mass spectrometer detector. It was observed that the MVOCs formation depends on mould species and their growing stage with a maximum of MVOCs emission occurring during the first 10 days. These preliminary results show that IMS can be applied to detect MVOCs in indoor environment and indicate hidden mould growth.

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Plasma chromatography of benzene with mass identified mobility spectra

Cited by 44 publications

References 24 publications

Fundamental considerations for the application of miniature ion mobility spectrometry to field analytical applications

Fundamental considerations for the application of miniature ion mobility spectrometry to field analytical applications

Processing of the Signal from Detectors Used in Ion Mobility Spectrometry

Investigation of gaseous metabolites from moulds by Ion Mobility Spectrometry (IMS) and Gas Chromatography-Mass Spectrometry (GC-MS)

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