Drift tube ion mobility spectrometers (IMS) are widely used for fast trace gas detection in air, but portable compact systems are typically very limited in their resolving power. Decreasing the initial ion packet width improves the resolution, but is generally associated with a reduced signal-to-noise-ratio (SNR) due to the lower number of ions injected into the drift region. In this paper, we present a refined theory of IMS operation which employs a combined approach for the analysis of the ion drift and the subsequent amplification to predict both the resolution and the SNR of the measured ion current peak. This theoretical analysis shows that the SNR is not a function of the initial ion packet width, meaning that compact drift tube IMS with both very high resolution and extremely low limits of detection can be designed. Based on these implications, an optimized combination of a compact drift tube with a length of just 10 cm and a transimpedance amplifier has been constructed with a resolution of 183 measured for the positive reactant ion peak (RIP(+)), which is sufficient to e.g. separate the RIP(+) from the protonated acetone monomer, even though their drift times only differ by a factor of 1.007. Furthermore, the limits of detection (LODs) for acetone are 180 pptv within 1 s of averaging time and 580 pptv within only 100 ms.

High kinetic energy ion mobility spectrometry (HiKE-IMS) allows for sensitive trace gas analysis within seconds, mitigating many disadvantages of standard ion mobility spectrometers through operation at reduced pressure and high electric field strengths. However, these advantages usually come at the cost of reduced resolving power, ranging from a maximum of 75 down to 50 at a reduced field strength of 120 Td for the original device. In this work, we present an extended theory for HiKE-IMS resolving power and a novel tristate ion shutter principle able to achieve initial ion packet widths of 1 μs without significant mobility discrimination. Such an ultrashort injection time allows for improving the resolving power of the HiKE-IMS to 140 for a wide range of reduced electric field strengths. With this resolving power, separating all ion species generated from a mixture of benzene, toluene, and xylene is possible. Furthermore, a resolving power of 140 is sufficient to partially separate isotopologues under high electric field strengths.

With recent advances in ionization sources and instrumentation, ion mobility spectrometers (IMS) have transformed from a detector for chemical warfare agents and explosives to a widely used tool in analytical and bioanalytical applications. This increasing measurement task complexity requires higher and higher analytical performance and especially ultra-high resolution. In this review, we will discuss the currently used ion mobility spectrometers able to reach such ultra-high resolution, defined here as a resolving power greater than 200. These instruments are drift tube IMS, travelling wave IMS, trapped IMS and field asymmetric or differential IMS. The basic operating principles and the resulting effects of experimental parameters on resolving power are explained and compared between the different instruments. This allows understanding the current limitations of resolving power and how ion mobility spectrometers may progress in the future.

We present a high kinetic energy ion mobility spectrometer (HiKE-IMS) for quantitative gas analysis. Drift tube and reaction tube can be operated at reduced fields up to 110 Td. At such conditions the distribution of reactant ion water clusters is shifted toward smaller clusters. Due to the resulting presence of bare reactant ions (e.g., H3O(+)) and the kinetic control of the ionization process with decreasing reaction time, unlike conventional IMS, a quantitative detection with ppbv detection limits of low proton affine analytes even in humid gas mixtures containing high proton affine compounds is possible using a direct sample gas inlet. A significantly improved dynamic range compared to conventional IMS is achieved. An incremental change in reduced fields enables the observation of parameters like field dependent ion mobilites or analyte fragmentation. Also, the characteristic of the analyte signal with respect to the reduced reaction field gives insight into the ionization process of the analyte. Thus, HiKE-IMS enables substance identification by ion mobility and additional analytical information that are not observed with conventional IMS. The instrumental effort is similar to conventional desktop IMS with overall dimensions of the drift and reaction tube of 4 cm × 4 cm × 28.5 cm. However, the mobility resolution is limited and between 30 and 40. Because of the moisture independent ionization and the decrease in competing ion-molecule reactions, no preseparation or membrane inlet is necessary when the compounds of interest are distinguishable either by a significant difference in ion mobility or the additional analytical information.

There is increasing evidence that breath volatile organic compounds (VOC) have the potential to support the diagnosis and management of inflammatory diseases such as COPD. In this study we used a novel breath sampling device to search for COPD related VOCs. We included a large number of healthy controls and patients with mild to moderate COPD, recruited subjects at two different sites and carefully controlled for smoking. 222 subjects were recruited in Hannover and Marburg, and inhaled cleaned room air before exhaling into a stainless steel reservoir under exhalation flow control. Breath samples (2.5 l) were continuously drawn onto two Tenax(®) TA adsorption tubes and analyzed in Hannover using thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). Data of 134 identified VOCs from 190 subjects (52 healthy non-smokers, 52 COPD ex-smokers, 49 healthy smokers, 37 smokers with COPD) were included into the analysis. Active smokers could be clearly discriminated by higher values for combustion products and smoking related VOCs correlated with exhaled carbon monoxide (CO), indicating the validity of our data. Subjects from the study sites could be discriminated even after exclusion of cleaning related VOCs. Linear discriminant analysis correctly classified 89.4% of COPD patients in the non/ex-smoking group (cross validation (CV): 85.6%), and 82.6% of COPD patients in the actively smoking group (CV: 77.9%). We extensively characterized 134 breath VOCs and provide evidence for 14 COPD related VOCs of which 10 have not been reported before. Our results show that, for the utilization of breath VOCs for diagnosis and disease management of COPD, not only the known effects of smoking but also site specific differences need to be considered. We detected novel COPD related breath VOCs that now need to be tested in longitudinal studies for reproducibility, response to treatment and changes in disease severity.