Ion Mobility Spectrometry in Analytical Chemistry

Louis, Robert H. St.; Hill, Herbert H.; Eiceman, Gary A.

doi:10.1080/10408349008050848

Cited by 279 publications

(93 citation statements)

References 83 publications

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“…The quotient of ion velocity and electric field strength is referred to as ion mobility [35]. The mobility, K, is calculated using the measured drift time, t D , of an ion through a specified drift length, l D , under a known electric field, E, using the equation below [1,2]. This ion mobility value is normalised to standard gas density, 2.687×10 19 molecules/cm, corresponding to 273 degree Kelvin and 101325 Pascal, and reported as the reduced ion mobility, K 0 [35][36][37].…”

Section: Ion Mobility Spectrometrymentioning

confidence: 99%

“…Over the past few decades, ion-mobility spectrometry has evolved into an inexpensive and powerful technique for the detection of trace compounds in the lower ng/L (ppb v ) down to pg/L (ppt v ) range, for direct monitoring of specific compound classes such as chemical warfare agents and drugs of abuse [1,2]. However, in recent years, ion mobility spectrometers are increasingly in demand for new applications specifically on biological samples (cells, fungi, bacteria) [3][4][5][6][7][8][9][10][11][12], in medicine (diagnosis, therapy and medication control e.g.…”

Section: Introductionmentioning

confidence: 99%

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Empirical prediction of reduced ion mobilities of secondary alcohols

Hariharan

Baumbach

Vautz

2009

Int. J. Ion Mobil. Spec.

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Ion Mobility Spectrometry is a powerful method for the rapid identification of gas-phase analytes and finds its usage in various fields including the sensitive analysis of extremely complex and humid mixtures such as human breath when additional pre-separation techniques are applied. The output data from an ion mobility spectrometer (IMS), equipped with a Multi-Capillary Column (MCC) for pre-separation, is a chromatogram of the signal intensity versus a particular retention time and a specific reduced ion mobility which are the characteristics of the detected analyte. Hence, it is important to have a database of analytes with both the values for comparison and identification of peaks in any IMS chromatogram. Commonly, such databases are collected by measurements of reference analytes. It is obvious that a prognosis of the values, without the time consuming and costly reference measurements, would be a considerable facilitation for a preliminary identification of unknowns and development of databases. In this study, a correlation between the reduced ion mobilities and the number of carbon atoms was found for secondary alcohols. The correlation was then used to predict the reduced ion mobilities of other analytes in the same homologous series. To verify the accuracy of the prognosis, the analytes were measured individually using a 63 Ni-MCC-IMS and compared to the predicted values. The results of the prognosis show an accuracy higher than 99.5%.

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Section: Ion Mobility Spectrometrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Empirical prediction of reduced ion mobilities of secondary alcohols

Hariharan

Baumbach

Vautz

2009

Int. J. Ion Mobil. Spec.

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“…The development of IMS instrumentation [20,[33][34][35][36][37][38][39][40], theory [41][42][43][44][45], and applications [46][47][48][49][50] is described in the literature. Here, only a brief description of the IMS-MS instrument and its operation is presented.…”

Section: Ims-ms Measurementsmentioning

confidence: 99%

Gas-Phase Hydrogen-Deuterium Exchange Labeling of Select Peptide Ion Conformer Types: a Per-Residue Kinetics Analysis

Khakinejad

Kondalaji

Tafreshian

et al. 2015

J. Am. Soc. Mass Spectrom.

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Abstract. The per-residue, gas-phase hydrogen deuterium exchange (HDX) kinetics for individual amino acid residues on selected ion conformer types of the model peptide KKDDDDDIIKIIK have been examined using ion mobility spectrometry (IMS) and HDX-tandem mass spectrometry (MS/MS) techniques. The [M + 4H] 4+ ions exhibit two major conformer types with collision cross sections of 418 Å 2 and 446 Å 2 ; the [M + 3H] 3+ ions also yield two different conformer types having collision cross sections of 340 Å 2 and 367 Å 2 . Kinetics plots of HDX for individual amino acid residues reveal fast-and slow-exchanging hydrogens. The contributions of each amino acid residue to the overall conformer type rate constant have been estimated. For this peptide, N-and C-terminal K residues exhibit the greatest contributions for all ion conformer types. Interior D and I residues show decreased contributions. Several charge state trends are observed. On average, the D residues of the [M + 3H] 3+ ions show faster HDX rate contributions compared with [M + 4H] 4+ ions. In contrast the interior I8 and I9 residues show increased accessibility to exchange for the more elongated [M + 4H] 4+ ion conformer type. The contribution of each residue to the overall uptake rate showed a good correlation with a residue hydrogen accessibility score model calculated using a distance from charge site and initial incorporation site for nominal structures obtained from molecular dynamic simulations (MDS).

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“…The introduction of IMS lies almost half a century back, when ion mobility spectrometers were used for military purpose (e.g. chemical war fare agents) and later on in security sensitive domains for detection of explosives and drugs [1,2]. In the course of time IMS found its way to civilian applications.…”

Section: Introductionmentioning

confidence: 99%

Peak Detection Algorithm Based on Second Derivative Properties for Two Dimensional Ion Mobility Spectrometry Signals

Slodzinski

Hildebrand

Vautz

2013

Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives

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Abstract. In this paper we propose a novel peak detection algorithm for 2-dimensional analytical data. The proposed algorithm utilizes the properties of the second derivative and curvature of (regular) surfaces to perform peak detection. Raw data used in this study for performance demonstration were obtained by a hyphenated system called gas-chromatographic column ion mobility spectrometer (GC-IMS). GC-IMS is a two stage technique for separation of gasphased (organic) compounds. Despite the good performance of the MCC-IMS separation in general, there are still unsatisfactory cases where the substances overlap and the recorded signals nearly merge. Frequently used peak detection algorithm for 2-dimensional data, like the watershed algorithm, do not perform well in those cases. Preliminary empirical results show good peak detection performance of the proposed algorithm. Furthermore the results indicate that the proposed algorithm is capable to solve the problem of peak detection even in cases of strong peak overlapping.

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Ion Mobility Spectrometry in Analytical Chemistry

Cited by 279 publications

References 83 publications

Empirical prediction of reduced ion mobilities of secondary alcohols

Empirical prediction of reduced ion mobilities of secondary alcohols

Gas-Phase Hydrogen-Deuterium Exchange Labeling of Select Peptide Ion Conformer Types: a Per-Residue Kinetics Analysis

Peak Detection Algorithm Based on Second Derivative Properties for Two Dimensional Ion Mobility Spectrometry Signals

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