Ion mobility spectrometry in scientific literature and in the International Journal for Ion Mobility Spectrometry (1998–2007)

Starting in 1998 the International Society for Ion Mobility Spectrometry, organising the annual conferences on ion mobility spectrometry, began to issue the International Journal for Ion Mobility Spectrometry. Now, in the 11th year the journal will be the first year together with SPRINGER. Therefore, the article focusses on the history of IMS providing an up to date account based on a systemetic search using the Web-of-Science and SciFinder search engines.     

Orthogonal extraction ion mobility spectrometry

Ion Mobility Spectrometry is a powerful tool for the study of molecular conformations, separation of mass isomers, and analysis of complex mixtures and suppression of chemical background. The factors that limit the capabilities of the technique include its relatively low resolving power and duty cycle. New principle of gas-phase ion separation, based on ion focusing under the influence of electrostatic field and stationary in time gas flow, is proposed. Both analytical calculations and a numerical simulation show that a diffusion-limited resolution of several hundred can be achieved. The new type of ion mobility analyzer is called orthogonal extraction IMS. The proposed ortho-IMS can be interfaced with commercial mass spectrometers and offers the theoretical resolution of several hundred and ion transmission close to 100%.     

Using probabilistic relational learning to support bronchial carcinoma diagnosis based on ion mobility spectrometry

Ion Mobility Spectrometry (IMS) provides a means for analyzing the substances a person exhales. In this paper, we report on an approach to support early diagnosis of bronchial carcinoma based on such IMS measurements. Given the peaks in a set of ion mobility spectra, we first cluster these peaks with a modified k-means algorithm. We then apply probabilistic relational modelling and learning methods to a logical representation of the data obtained from the ion mobility spectra and the peak clusters. Markov Logic Networks and the MLN system Alchemy are employed for various modelling and learning scenarios. These scenarios are evaluated with respect to ease of use, classification accuracy, and knowledge representation aspects.     

Ion mobility spectrometry: a personal retrospective

With a background in mass spectrometric studies of gas-phase ion chemistry the atmospheric pressure technology of ion mobility spectrometry (IMS) presented me with challenges and opportunities. Fundamental studies of the parameters that influence the mobility of ions in a low electric field yielded insights about the effects of temperature, drift gas composition and the conformation of ions on the collision cross section. The inadequacy of current rigid-sphere, polarization limit and hard-core models to predict the mobility of ions particularly at low temperature and in heavy drift gases, led to inclusion of additional terms to the hard-core model to account for these effects. These studies eventually resulted in the two monographs entitled “Ion Mobility Spectrometry” and “Ion Mobility Spectrometry –Second Edition” co-authored with Prof. Gary Eiceman and published by Taylor & Francis, CRC Press in 1994 and 2005, respectively. Novel applications for biological and medical applications were developed on the basis of measurement of biogenic amines by IMS, in particular the rapid, accurate and inexpensive diagnosis of vaginal infections.     

Characterization of a miniature, ultra-high-field, ion mobility spectrometer

By combining a multiple micron-gap ion separator with a novel high-frequency separation waveform drive topology, it has been possible to considerably extend the separation field limits employed in Field Asymmetric Ion Mobility Spectrometry (FAIMS)/Differential Mobility Spectrometry (DMS); giving rise to an Ultra-High-Field operational domain. A miniature spectrometer, based around the multi-micron-gap ion separator and ultra-high-field drivers, has been developed to meet the continuing industrial need for sensitive (sub-ppm), broadband and fast (second timescale) response volatile chemical detection. The packaged miniature spectrometer measures 12?×?12?×?15?cm, weighs 1.2?kg and is fully standalone; consisting of the core multi-micron gap ion separator assembly and RF/DC electronic drivers integrated with pneumatic handling/sample conditioning elements, together with ancillary temperature, flow and humidity sensing for stable closed loop operation (under local microprocessor control). The combination of multiple micron-gap ion separators with the novel high-frequency separation waveform drive topology enables ion separations to be performed over scanning electric field ranges of 0 to >75?kV·cm^?1 (0 to >??320 Td at 101?kPa), offering a potential solution to trace and ultra-trace chemical detection/monitoring problems, that conventional IMS and DMS/FAIMS may otherwise find challenging. In this ultra-high field operational regime effective ion temperatures may be ??swept?? from ambient to >1000 K because critically, the effective ion temperature scales to at least the square of the applied field. With this field induced ion heating a controlled manipulation (or switching) of the ion chemistry within the separation channel (the ion drift region) may be invoked. For example, ion fragmentation via thermal dissociation can be induced. Chemical separation and identification is thus derived from the unique kinetic and thermodynamic behavior of ions assessed over a very broad effective temperature range. In addition to describing the novel miniature spectrometer, this paper addresses key aspects of ultra-high-field operation, which render it distinct from traditional ion mobility technologies and principles. In particular, this paper essays a model of ultra-high-field operation and highlights model deviations, whilst providing clear theoretical explanation backed up with experimental evidence.     

Buffer gas additives (modifiers/shift reagents) in ion mobility spectrometry: Applications,predictions of mobility shifts,and influence of interaction energy and structure

Ion mobility spectrometry (IMS) is an analytical technique used for fast and sensitive detection of illegal substances in customs and airports, diagnosis of diseases through detection of metabolites in breath, fundamental studies in physics and chemistry, space exploration, and many more applications. Ion mobility spectrometry separates ions in the gas‐phase drifting under an electric field according to their size to charge ratio. Ion mobility spectrometry disadvantages are false positives that delay transportation, compromise patient's health and other negative issues when IMS is used for detection. To prevent false positives, IMS measures the ion mobilities in 2 different conditions, in pure buffer gas or when shift reagents (SRs) are introduced in this gas, providing 2 different characteristic properties of the ion and increasing the chances of right identification. Mobility shifts with the introduction of SRs in the buffer gas are due to clustering of analyte ions with SRs. Effective SRs are polar volatile compounds with free electron pairs with a tendency to form clusters with the analyte ion. Formation of clusters is favored by formation of stable analyte ion‐SR hydrogen bonds, high analytes' proton affinity, and low steric hindrance in the ion charge while stabilization of ion charge by resonance may disfavor it. Inductive effects and the number of adduction sites also affect cluster formation. The prediction of IMS separations of overlapping peaks is important because it simplifies a trial and error procedure. Doping experiments to simplify IMS spectra by changing the ion‐analyte reactions forming the so‐called alternative reactant ions are not considered in this review and techniques other than drift tube IMS are marginally covered.     

Comprehensive software suite for the operation, maintenance, and evaluation of an ion mobility spectrometer

Scientific applications of Ion Mobility Spectrometry require the ability to easily compare data between different laboratories. Reduced mobility values attempt to provide this functionality, but no standard exists for the collection and manipulation of the raw data obtained during an IMS experiment. We have created a comprehensive software suite based on the LabVIEW programming language that can be used to collect and interpret IMS data. The software may be used to collect data from a stand-alone IMS cell, a voltage sweep IMS cell, or a coupled chromatography-IMS system, and this framework may be adapted to incorporate mass spectral data analysis as well. This software is provided under an open source license for the benefit of the IMS community.     

Transport modeling of membrane extraction of chlorinated hydrocarbon from water for ion mobility spectrometry

Membrane-extraction Ion Mobility Spectrometry (ME-IMS) is a feasible technique for the continuous monitoring of chlorinated hydrocarbons in water. This work studies theoretically the time-dependent characteristics of sampling and detection of trichloroethylene (TCE). The sampling is configured so that aqueous contaminants permeate through a hollow polydimethylsiloxane (PDMS) membrane and are carried away by a transport gas flowing through the membrane tube into IMS analyzer. The theoretical study is based on a two-dimensional transient fluid flow and mass transport model. The model describes the TCE mixing in the water, permeation through the membrane layer, and convective diffusion in the air flow inside membrane tube. The effect of various transport gas flow rates on temporal profiles of IMS signal intensity is investigated. The results show that fast time response and high transport yield can be achieved for ME-IMS by controlling the flow rate in the extraction membrane tube. These modeled time-response profiles are important for determining duty cycles of field-deployable sensors for monitoring chlorinated hydrocarbons in water.     

Empirical prediction of reduced ion mobilities of secondary alcohols

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 ⁶³Ni-MCC-IMS and compared to the predicted values. The results of the prognosis show an accuracy higher than 99.5%.     

Electrospray ionization-voltage sweep-Ion mobility spectrometry for biomolecules and complex samples

Voltage Sweep Ion Mobility Spectrometry (VSIMS) has been applied to complex samples using electrospray ionization (ESI). The usable range of VSIMS has been extended from that obtained in previous studies where only volatile compounds were investigated. Using ESI, VSIMS was evaluated with compounds with reduced mobility values as low as 0.3 V²cm^?1 s^?1. The primary advantage of VSIMS is to enable a drift time ion mobility spectrometer (DTIMS) to detect both fast and slow moving ions at optimal resolving power, thus improving the peak capacity. In this work ESI-VSIMS was applied to a series of small peptides and drugs spanning a large range of reduced mobility values in order to demonstrate ESI-VSIMS to separation. To demonstrate improved peak capacity of IMS with voltage scan operation, oligomers of silicone oil provided a series of evenly-spaced peaks, ranging in reduced mobility values from 0.85 to 0.3 V²cm^?1 s^?1. The peak capacity of 61 for a standard IMS was improved to 102 when voltage sweep operation was employed. In addition, VSIMS increased the average resolving power of the DTIMS from 66 to 106 for silicone oil.     

Stir-bar sorptive extraction and TDS-IMS for the detection of pesticides in aqueous samples

In Ion Mobility Spectrometry (IMS), the analysis of aqueous samples is impaired by the mandatory removal of water. Before the sample enters the IMS system, the analyte must be extracted from water. For this purpose, the stir bar sorptive extraction (SBSE) method with polydimethylsiloxane (PDMS) as sorbent was chosen for the enrichment of alachlor, lindane and diuron from aqueous samples. Thermal desorption and detection of the analytes were carried out by conventional IMS coupled with an upstream thermal desorption system (TDS). K₀-values were determined using optimized instrumental parameters e.g. gas flows, temperatures and shutter grid width. Furthermore, influence of the experimental parameters (e.g. pH, stirring time, sodium chloride) on enrichment degree of the analytes at the PDMS sorbent has been investigated. For calibration, non-linear second-order calibration functions were applied and the formulas for the Limit of Detection and Limit of Quantification were derived. For example, a Limit of Detection of 5 μg kg^?1 and Limit of Quantification of 16 μg kg^?1 were obtained for lindane.     

Direct classification of olive oils by using two types of ion mobility spectrometers

In this work, we explored the use of an Ion Mobility Spectrometry (IMS) device with an ultraviolet (UV) source, and of a Gas Chromatographic (GC) column coupled to an IM Spectrometer with a tritium source, for the discrimination of three grades of olive oil, namely: extra virgin olive oil (EVOO), olive oil (OO) and pomace olive oil (POO). The three types of oil were analyzed with both equipment combinations as coupled to a headspace system and the obtained ion mobility data were consecutively processed with various chemometric tools. The classification rate for an independent validation set was 86.1% (confidence interval at 95% [83.4%, 88.5%]) with an UV-IMS and 100% (confidence interval at 95% [87%, 100%]) using a GC-IMS system. The classification rate was improved by using a more suitable ionization source and a pre-separation step prior to the IM analysis.     

Evaluation of micro- versus nano-electrospray ionization for ambient pressure ion mobility spectrometry

The comparison of nanospray and microspray ionizations for detecting mixtures of compounds by ion mobility spectrometry has been investigated for sensitivity, ion transmission through a drift tube, and ion suppression effects when used as an ionization source for ambient pressure ion mobility spectrometry (IMS). Several articles have demonstrated that nano-electrospray ionization mass spectrometry (n-ESI-MS) has improved sensitivity, provides less background noise, and lower limits of detection than micro-electrospray ionization (μ-ESI) for IMS. Most importantly, data from n-ESI-MS is concentration-sensitive. Our laboratory previously published an article that observed a striking result when μ-ESI-IMS was investigated for a single compound in the positive ion mode. The data reported was mass-sensitive. In this new investigation, we have investigated mixtures, and experiments were designed to evaluate the effect of sensitivity, ion transmission and ion suppressions in μ-ESI-IMS and n-ESI-IMS. At an electrospray flow rate in the μL min⁻¹ range, compounds with higher proton affinities responded best while at the nanospray flow rates of nL min⁻¹, relative responses were more equal. This study observed that a decreased ESI flow rate resulted in a decreased ion signal. These trends demonstrated less sensitivity for ESI-IMS at reduced flow rates but suggest better quantification. At higher flow rates, relative ionization efficiencies were still uniform for all the components studied individually and in mixtures and sensitivity improved by about 78%. Concentration studies showed that at high concentrations, ion detection efficiencies were uniform at about 33% for all compounds studied individually and in mixtures. At low concentrations, the detection efficiency varied from 31% to 86%, depending on the proton affinity of the component in the mixture. Ion transmission through the IMS tube measured with a segmented Faraday detector that was incorporated into the IMS design indicated that most of the ion current for mixtures was transported through the IMS tube with a radius of less than 18 mm for both positive and negative ion modes.     

An Ion Mobility/Ion Trap/Photodissociation Instrument for Characterization of Ion Structure

A new instrument that combines ion mobility spectrometry (IMS) separations with tandem mass spectrometry (MS(n)) is described. Ion fragmentation is achieved with vacuum ultraviolet photodissociation (VUV PD) and/or collision-induced dissociation (CID). The instrument is comprised of an approximately 1 m long drift tube connected to a linear trap that has been interfaced to a pulsed F(2) laser (157 nm). Ion gates positioned in the front and the back of the primary drift region allow for mobility selection of specific ions prior to their storage in the ion trap, mass analysis, and fragmentation. The ion characterization advantages of the new instrument are demonstrated with the analysis of the isomeric trisaccharides, melezitose and raffinose. Mobility separation of precursor ions provides a means of separating the isomers and subsequent VUV PD generates unique fragments allowing them to be distinguished.     

Review of applications of high-field asymmetric waveform ion mobility spectrometry (FAIMS) and differential mobility spectrometry (DMS)

High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) and Differential Mobility Spectrometry (DMS) harness differences in ion mobility in low and high electric fields to achieve a gas-phase separation of ions at atmospheric pressure. This separation is orthogonal to either chromatographic or mass spectrometric separation, thereby increasing the selectivity and specificity of analysis. The orthogonality of separation, which in some cases may obviate chromatographic separation, can be used to differentiate isomers, to reduce background, to resolve isobaric species, and to improve signal-to-noise ratios by selective ion transmission. This review will focus on the applications of these techniques to the separation of various classes of analytes, including chemical weapons, explosives, biologically active molecules, pharmaceuticals and pollutants. These papers cover the period up to January 2007.     

Removal of metabolite interference during liquid chromatography/tandem mass spectrometry using high‐field asymmetric waveform ion mobility spectrometry

The effect of metabolite interference during liquid chromatography/tandem mass spectrometry (LC/MS/MS) analysis of an amine drug was investigated using FAIMS (high‐Field Asymmetric waveform Ion Mobility Spectrometry). The selected reaction monitoring (SRM) transition used for the drug exhibited an interference due to in‐source conversion of the N‐oxide metabolite to generate an ion isobaric with the drug. The on‐line FAIMS device removed the metabolite interference before entrance to the mass spectrometer. FAIMS was used to demonstrate the relative accuracy and precision of drug analysis even in the presence of a co‐eluting metabolite that may undergo in‐source conversion. Copyright © 2005 John Wiley & Sons, Ltd.     

The effect of reusing wipes for particle collection

Sample collection for Ion Mobility Spectrometry (IMS) analysis is typically completed by swiping a collection wipe over a suspect surface to collect trace residues. The work presented here addresses the need for a method to measure the collection efficiency performance of surface wipe materials as a function of the number of times a wipe is used to interrogate a surface. The primary purpose of this study is to investigate the effect of wipe reuse, i.e., the number of times a wipe is swiped across a surface, on the overall particle collection and IMS response. Two types of collection wipes (Teflon coated fiberglass and Nomex) were examined by swiping multiple times, ranging from 0 to 1000, over representative surfaces that are common to security screening environments. Particle collection efficiencies were determined by fluorescence microscopy and particle counting techniques, and were shown to improve dramatically with increased number of swiping cycles. Ion mobility spectrometry was used to evaluate the chemical response of known masses of explosives (deposited after reusing wipes) as a function of the wipe reuse number. Results show that chemical response can be negatively affected, and greatly depends upon the conditions of the surface in which the wipe is interrogating. For most parameters tested, the PCE increased after the wipe was reused several times. Swiping a dusty cardboard surface multiple times also caused an increase in particle collection efficiency but a decrease in IMS response. Scanning electron microscopy images revealed significant surface degradation of the wipes on dusty cardboard at the micrometer spatial scale level for Teflon coated wipes. Additionally, several samples were evaluated by including a seven second thermal desorption cycle at 235°C into each swipe sampling interval in order to represent the IMS heating cycle. Results were similar to studies conducted without this heating cycle, suggesting that the primary mechanism for wipe deterioration is mechanical rather than thermal.     

Fingerprinting bacterial strains using ion mobility spectrometry

Ion mobility spectrometry (IMS) is currently in widespread use for the detection and identification of narcotic and explosive compounds without prior sample clean-up or concentration steps. IMS analysis is rapid, less than a minute, and sensitive, with detection limits in the nanogram to picogram range, depending on the target analyte. Our studies indicate that this technique has potential for detection of specific components of bacterial cells and for identification and differentiation of bacterial strains and species within a minute, and with no specialized test kits or reagents required. When microgram quantities of whole bacterial cells are thermally desorbed, complex positive or negative ion patterns (plasmagrams) are obtained. These plasmagrams differ reproducibly for different strains and species and for different conditions of growth, and can be used for the classification and differentiation of specific strains and species of bacteria, including pathogens. Methods for improved ion peak detection, most notably sequential sample desorption at stepped increases in temperature (programmed temperature ramping), are described.     

A Simple Analytical Model for Predicting the Detectable Ion Current in Ion Mobility Spectrometry Using Corona Discharge Ionization Sources

Corona discharge ionization sources are often used in ion mobility spectrometers (IMS) when a non-radioactive ion source with high ion currents is required. Typically, the corona discharge is followed by a reaction region where analyte ions are formed from the reactant ions. In this work, we present a simple yet sufficiently accurate model for predicting the ion current available at the end of this reaction region when operating at reduced pressure as in High Kinetic Energy Ion Mobility Spectrometers (HiKE-IMS) or most IMS-MS instruments. It yields excellent qualitative agreement with measurement results and is even able to calculate the ion current within an error of 15%. Additional interesting findings of this model are the ion current at the end of the reaction region being independent from the ion current generated by the corona discharge and the ion current in High Kinetic Energy Ion Mobility Spectrometers (HiKE-IMS) growing quadratically when scaling down the length of the reaction region.

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Influence of operational background emissions on breath analysis using MCC/IMS devices

Multi-Capillary Column coupled to an Ion Mobility Spectrometer (MCC/IMS) is widely used for Breath Analysis. During this analysis a part of room air variations, also operational background emissions have to be considered. In the study reported here we analyze the background emissions of two different intubation methods, an endotracheal tube and a laryngeal mask used in anesthesia. Also a straight connector used to collect the patients breath is studied. Laboratory measurements have been carried out with MCC/IMS and also with a Gas Chromatograph—Mass Selective Detector (GC/MSD), showing different plastic compositions and MCC/IMS chromatographs. Patients breath measurements were carried out while the patients were anesthetized and intubated. In the breath analysis of patients under anesthesia one specific peak of the endotracheal tube has been found, and also two specific peaks from the laryngeal mask. Nonspecific peak due to the straight connector has also been found, showing its suitability for sampling collection.