Ion mobility spectrometer for online monitoring of trace compounds

Li, F; Xie, Zhiyong; Schmidt, H.; Sielemann, Stefanie; Baumbach, Jan

doi:10.1016/s0584-8547(02)00110-6

Cited by 63 publications

(37 citation statements)

References 50 publications

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“…The flight times of detected ions are measured and converted into signal peaks, which positions are used in the determination of the sample chemical. The velocities of the ions are dependent on their sizeto-charge ratios (Li et al, 2002;Borsdorf & Eiceman, 2006). Some IMS instruments are depicted in Figure 4.…”

Section: Conventional Imsmentioning

confidence: 99%

Ion spectrometric detection technologies for ultra‐traces of explosives: A review

Mäkinen

Nousiainen

Sillanpää

2011

Mass Spectrometry Reviews

140

100

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In recent years, explosive materials have been widely employed for various military applications and civilian conflicts; their use for hostile purposes has increased considerably. The detection of different kind of explosive agents has become crucially important for protection of human lives, infrastructures, and properties. Moreover, both the environmental aspects such as the risk of soil and water contamination and health risks related to the release of explosive particles need to be taken into account. For these reasons, there is a growing need to develop analyzing methods which are faster and more sensitive for detecting explosives. The detection techniques of the explosive materials should ideally serve fast real-time analysis in high accuracy and resolution from a minimal quantity of explosive without involving complicated sample preparation. The performance of the in-field analysis of extremely hazardous material has to be user-friendly and safe for operators. The two closely related ion spectrometric methods used in explosive analyses include mass spectrometry (MS) and ion mobility spectrometry (IMS). The four requirements-speed, selectivity, sensitivity, and sampling-are fulfilled with both of these methods.

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Section: Conventional Imsmentioning

confidence: 99%

Ion spectrometric detection technologies for ultra‐traces of explosives: A review

Mäkinen

Nousiainen

Sillanpää

2011

Mass Spectrometry Reviews

140

100

View full text Add to dashboard Cite

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“…Because the time axes depend on influencing factors as ambient pressure and temperature, values of drift time had to be converted to reduced mobility [12] and retention time was corrected with respect to varying temperatures of the column for means of comparability of measurements.…”

Section: Data Setmentioning

confidence: 99%

Reduction of ion mobility spectrometry data by clustering characteristic peak structures

Bader

Urfer

Baumbach

2006

Journal of Chemometrics

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Spectrometric methods generate a large amount of data that are difficult to process due to high dimensionality and considerable variability. Therefore, a method for the detection of characteristic peak structures was established on the base of clustering techniques and a merging regions algorithm that enabled the reduction of data in the size of one million to about one hundred meaningful values with respect to fluctuating axis allocations. The effectiveness of the method was exemplified considering a set of ion mobility spectrometry measurements of human breath. In questions of comparative nature, the reduction even could be upgraded by multiple test procedures. Afterwards statistical analyses could be arranged easily for various targets.

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“…Headspace Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS) uses the same sample preparation step than the eNose, i.e., headspace generation, and then, a gas sample is directly injected into the system. HS-GC-IMS is a novel technique with numerous advantages [22], as a high sensitivity (ppb range), fast analysis (a few minutes), option for portable devices, and no residues are generated. Due to these advantages, HS-GC-IMS has been applied in different fields as the oil industry [23,24], agrifood research [25][26][27], biomedical investigations [28,29], and in other forensic fields [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Application of Headspace Gas Chromatography-Ion Mobility Spectrometry for the Determination of Ignitable Liquids from Fire Debris

et al. 2018

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Abstract:A fast and correct identification of ignitable liquid residues in fire debris investigation is of high importance in forensic research. Advanced fast analytical methods combined with chemometric tools are usually applied for these purposes. In the present study, the Headspace Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS) combined with chemometrics is proposed as a promising technique for the identification of ignitable liquid residues in fire debris samples. Fire debris samples were created in the laboratory, according to the Destructive Distillation Method for Burning that is provided by the Bureau of Forensic Fire and Explosives. Four different substrates (pine wood, cork, paper, and cotton sheet) and four ignitable liquids of dissimilar composition (gasoline, diesel, ethanol, and paraffin) were used to create the fire debris. The Total Ion Current (TIC) Chromatogram combined with different chemometric tools (hierarchical cluster analysis and linear discriminant analysis) allowed for a full discrimination between samples that were burned with and without ignitable liquids. Additionally, a good identification (95% correct discrimination) for the specific ignitable liquid residues in the samples was achieved. Based on these results, the chromatographic data from HS-GC-IMS have been demonstrated to be very useful for the identification and discrimination of ignitable liquids residues. The main advantages of this approach vs. traditional methodology are that no sample manipulation or solvent is required; it is also faster, cheaper, and easy to use for routine analyses.

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Ion mobility spectrometer for online monitoring of trace compounds

Cited by 63 publications

References 50 publications

Ion spectrometric detection technologies for ultra‐traces of explosives: A review

Ion spectrometric detection technologies for ultra‐traces of explosives: A review

Reduction of ion mobility spectrometry data by clustering characteristic peak structures

Application of Headspace Gas Chromatography-Ion Mobility Spectrometry for the Determination of Ignitable Liquids from Fire Debris

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