Ion Mobility Spectrometry Resolution Research Articles

Using Nitroxides To Model the Ion Mobility Behavior of Nitroxide-Ended Oligomers: A Bottom-up Approach To Predict Mobility Separation.

Block-truncated poly(phosphodiester)s are digital macromolecules storing binary information that can be decoded by MS/MS sequencing of individual blocks released as primary fragments of the entire polymer. As such, they are ideal species for the serial sequencing methodology enabled by MS-(CID)-IMS-(CID)-MS coupling, where two activation stages are combined in-line with ion mobility spectrometry (IMS) separation. Yet, implementation of this coupling still requires efforts to achieve IMS resolution of inner blocks, that can be considered as small oligomers with α termination composed of one nitroxide decorated with a different tag. As shown by molecular dynamics simulation, these oligomers adopt a conformation where the tag points out of the coil formed by the chain. Accordingly, the sole nitroxide termination was investigated here as a model to reduce the cost of calculation aimed at predicting the shift of collision cross-section (CCS) induced by new tag candidates and extrapolate this effect to nitroxide-terminated oligomers. A library of 10 nitroxides and 7 oligomers was used to validate our calculation methods by comparison with experimental IMS data as well as our working assumption. Based on conformation predicted by theoretical calculation, three new tag candidates could be proposed to achieve the +40 Å2 CCS shift required to ensure IMS separation of oligomers regardless of their coded sequence.

Radial basis function neural network optimization algorithm based on dynamic inertial weight particle swarm optimization for separating overlapping peaks in ion mobility spectrometry.

Ion mobility spectrometry (IMS), as a promising analytical tool, has been widely employed in the structural characterization of biomolecules. Nevertheless, the inherent limitation in the structural resolution of IMS frequently results in peak overlap during the analysis of isomers exhibiting comparable structures. The radial basis function (RBF) neural network optimization algorithm based on dynamic inertial weight particle swarm optimization (DIWPSO) was proposed for separating overlapping peaks in IMS. The RBF network structure and parameters were optimized using the DIWPSO algorithm. By extensively training using a large dataset, an adaptive model was developed to effectively separate overlapping peaks in IMS data. This approach successfully overcomes issues related to local optima, ensuring efficient and precise separation of overlapping peaks. The method's performance was evaluated using experimental validation and analysis of overlapping peaks in the IMS spectra of two sets of isomers: 3'/6'-sialyllactose; fructose-6-phosphate, glucose-1-phosphate, and glucose-6-phosphate. A comparative analysis was conducted using other algorithms, including the sparrow search algorithm, DIWPSO algorithm, and multi-objective dynamic teaching-learning-based optimization algorithm. The comparison results show that the DIWPSO-RBF algorithm achieved remarkably low maximum relative errors of only 0.42%, 0.092%, and 0.41% for ion height, mobility, and half peak width, respectively. These error rates are significantly lower than those obtained using the other three algorithms. The experimental results convincingly demonstrate that this method can adaptively, rapidly, and accurately separate overlapping peaks of multiple components, improving the structural resolution of IMS.

Overlapping peak separation algorithm for ion mobility spectra based on multistrategy JAYA.

In the field of separation science, ion mobility spectrometry (IMS) plays an important role as an analytical tool. However, the lack of sufficient structural resolution is a common problem in qualitative and quantitative analysis using IMS. A method is needed to solve the problem of overlapping peaks caused by insufficient resolution. The method uses multiple strategies to more effectively use population information to balance exploration and exploitation capabilities, prevent local optimization, accurately resolve overlapping peaks, quickly obtain optimal spectral peak model coefficients, and accurately identify compounds. Multistrategy JAYA algorithm's (MSJAYA) performance is compared with improved particle swarm optimization (IPSO), dynamic inertia weight particle swarm optimization (DIWPSO), and multiobjective dynamic teaching-learning-based optimization (MDTLBO). The analysis shows that MSJAYA's maximum separation error is within 0.6%, a level of accuracy not guaranteed by the other algorithms. In addition, the separation error fluctuates within a much smaller range, demonstrating MSJAYA's superior robustness. Compared with other overlapping peak separation algorithms, MSJAYA is more applicable because no special parameters are used. The method allows fast deconvolution analysis of strong overlapping peaks with multiple components, which greatly improves the resolution of IMS.

Top-Down Ion Mobility Separations of Isomeric Proteoforms

Continuing advances in proteomics highlight the ubiquity and biological importance of proteoforms─proteins with varied sequence, splicing, or distribution of post-translational modifications (PTMs). The preeminent example is histones, where the PTM pattern encodes the combinatorial language controlling the DNA transcription central to life. While the proteoforms with distinct PTM compositions are distinguishable by mass, the isomers with permuted PTMs commonly coexisting in cells generally require separation before mass-spectrometric (MS) analyses. That was accomplished on the bottom-up and middle-down levels using chromatography or ion mobility spectrometry (IMS), but proteolytic digestion obliterates the crucial PTM connectivity information. Here, we demonstrate baseline IMS resolution of intact isomeric proteoforms, specifically the acetylated H4 histones (11.3 kDa). The proteoforms with a single acetyl moiety on five alternative lysine residues (K5, K8, K12, K16, K20) known for distinct functionalities in vivo were constructed by two-step native chemical ligation and separated using trapped IMS at the resolving power up to 350 on the Bruker TIMS/ToF platform. Full resolution for several pairs was confirmed using binary mixtures and by unique fragments in tandem MS employing collision-induced dissociation. This novel capability for top-down proteoform characterization is poised to open major new avenues in proteomics and epigenetics.

Deconvolution of overlapping peaks in ion mobility spectrometry based on a multiobjective dynamic teaching-learning-based optimization.

Because of its powerful analytical ability, ion mobility spectrometry (IMS) plays an important role in the field of mass spectrometry. However, one of the main defects of IMS is its low structural resolution, which leads to the phenomenon of peak overlap in the analysis of compounds with similar mass charge ratio. A multiobjective dynamic teaching-learning-based optimization (MDTLBO) method was proposed to separate IMS overlapping peaks. This method prevents local optimization and identifies peak model coefficients efficiently. In addition, the position information of particles largely reflects the half-peak width of IMS, which makes single peaks difficult to appear and coefficient identification easier. The performance comparison of MDTLBO with other deconvolution methods (genetic algorithm, improved particle swarm optimization algorithm, and dynamic inertia weight particle swarm optimization algorithm) shows that the maximum deconvolution error of MDTLBO is only 0.7%, which is much lower than that for the other three methods. In addition, robustness is a performance index that reflects the advantages and disadvantages of the algorithm. MBTLBO is more robust than other algorithms for separating overlapping peaks. The algorithm can separate the heavily overlapped mobility peaks, produce better analysis results, and improve the resolution of IMS.

Coulombic effects on resolution of ion mobility spectrometry and its application in online qualitative analysis

Ion mobility spectrometry is an important gas analysis method used in the rapid detection field. However, due to a lacking of explicit mathematical model of ion peak, it is difficult to extract characteristic analyte peaks from a spectrum containing overlapping peaks to achieve online qualitative analysis. Here, we present an asymmetric peak model for processing ion mobility peaks. For the asymmetric peak model, the key is to accurately estimate the standard deviation of the peak model and the fitting function of the tailing edge. We focused on the Coulombic effects on resolution of ion mobility spectrometry based on a new hypothesis of ion cloud shape and derived a formula for calculating the standard deviation taking the initial pulse width, diffusion and Coulomb repulsion factors into account. The proposed asymmetric peak model combines the advantages of optimal physical and chemical interpretation and explicit mathematical meaning. A fast decomposition method based on the peak model was developed to decompose overlapping peaks. Two overlapping simulated data sets and one real data set (a mixture of acetone and methyl salicylate) were used to test the method. The results indicated that our proposed method successfully decomposed the overlapping spectrum into individual peaks and performed markedly better than other three available methods in terms of the execution time. The proposed method meets the requirements for online qualitative analysis.

Use of Cyclic Ion Mobility Spectrometry (cIM)-Mass Spectrometry to Study the Intramolecular Transacylation of Diclofenac Acyl Glucuronide.

1-β-O-Acyl-glucuronides (AGs) are common metabolites of carboxylic acid-containing xenobiotics, including, e.g., many nonsteroidal anti-inflammatory drugs (NSAIDs). They are of concern to regulatory authorities because of the association of these metabolites with the hepatotoxicity that has resulted in drug withdrawal. One factor in assessing the potential risk posed by AGs is the rate of transacylation of the biosynthetic 1-β-O-acyl form to the 2-, 3-, and 4-O-acyl isomers. While transacylation can be measured using 1H NMR spectroscopy or liquid chromatography-mass spectrometry (LC-MS), the process can be time consuming and involve significant method development. The separation of these positional isomers by ion mobility spectrometry (IMS) has the potential to allow their rapid analysis, but conventional instruments lacked the resolving power to do this. Prediction of the collision cross section (CCS) using a machine learning model suggested that greater IMS resolution might be of use in this area. Cyclic IMS was evaluated for separating mixtures of isomeric AGs of diclofenac and was compared with a conventional ultraperformance liquid chromatography (UPLC)-MS method as a means for studying transacylation kinetics. The resolution of isomeric AGs was not seen using a conventional traveling wave IMS device; however, separation was seen after several passes around a cyclic IMS. The cyclic IMS enabled the degradation of the 1-β-O-acyl-isomer to be analyzed much more rapidly than by LC-MS. The ability of cyclic IMS to monitor the rate of AG transacylation at different pH values, without the need for a prior chromatographic separation, should allow high-throughput, real-time, monitoring of these types of reactions.

Resolution enhancement of overlapping peaks of ion mobility spectrometry based on improved particle swarm optimization algorithm.

Ion mobility spectrometry (IMS) is a powerful analytical tool that has been widely applied in many fields. However, the limited structural resolution of IMS results in peak overlapping in the analysis of samples with similar structures. We propose a novel method, improved particle swarm optimization (IPSO), for the separation of IMS overlapping peaks. This method, which prevents local optimization, is used to identify the peak model coefficients of IMS. Moreover, we use the half-peak width characteristics of IMS to determine the particle position range, which eliminates impossible combinations of single peaks and reduces the difficulty of identification of coefficients. During a comparison in performance between IPSO and the genetic algorithm (GA), the results show that the maximum separation error of IPSO is only 1.45%, while the error of the GA is up to 17.43%. Moreover, the time consumed by IPSO is 95% less than that of the GA, and IPSO has a greater robustness under the same separation error conditions. The method proposed provides accurate analytical results in separating overlapping IMS peaks even in cases of severe overlaps, which greatly enhances the structural resolution of IMS.

MALDI matrix cluster ions as internal references for ion mobility measurements

In the absence of high vacuum, the mobility of ions in an electric field is dependent on the charge, mass, shape and size of the ions. To achieve accurate calibration for ion mobility measurements, it is important to select calibrants with comparable physical properties to the molecular ions of interest. The size of an ion is often referred as its collision cross section (CCS). Currently, the information on the CCS values of various types of molecular ions are limited, thus representing a challenge to the calibration of ion mobility spectrometry. In this study, instead of finding a way to improve the calibration of ion mobility measurements, the intrinsic by-products of the conventional matrix-assisted laser desorption/ionization (MALDI) technique, namely MALDI matrix cluster (MAC) ions, are being used as internal references for ion mobility measurements. The standard MALDI matrix and sample preparation method are used. During the MALDI ionization process, MAC ions are generated and co-exist with the molecular ions of interest within the ion source. Our results indicate the MAC ions do possess suitable ion mobility characteristics, thus allowing the MAC ions to serve as internal reference for ion mobility measurements. The MAC ions cannot be used as internal standard or calibrants for ion mobility measurements, because their molecular structures as well as their CCS are unknown. However, the detection of MAC ions can allow us to determine whether the normal operation as well as the expected performance on the sensitivity and resolution of ion mobility spectrometry are achievable and reproducible. The MAC ions can also facilitate the transfer of specific experimental protocols between ion mobility instruments and/or laboratories. No extra materials, equipment or procedure are required for using MAC ions. For the proof of concept, all experimental work in this study was carried out on a traveling wave ion mobility mass spectrometry platform.

Spatial Ion Peak Compression and its Utility in Ion Mobility Spectrometry

A novel concept for ion spatial peak compression is described, and discussed primarily in the context of ion mobility spectrometry (IMS). Using theoretical and numerical methods, the effects of using non-constant (e.g., linearly varying) electric fields on ion distributions (e.g., an ion mobility peak) is evaluated both in the physical and temporal domains. The application of a linearly decreasing electric field in conjunction with conventional drift field arrangements is shown to lead to a reduction in IMS physical peak width. When multiple ion packets (i.e., peaks) in a selected mobility window are simultaneously subjected to such fields, there is ion packet compression (i.e., a reduction in peak widths for all species). This peak compression occurs with only a modest reduction of resolution, which can be quickly recovered as ions drift in a constant field after the compression event. Compression also yields a significant increase in peak intensities. Ion mobility peak compression can be particularly useful for mitigating diffusion-driven peak broadening over very long path length separations (e.g., in cyclic multi-pass arrangements), and for achieving higher S/N and IMS resolution over a selected mobility range. Graphical Abstract ᅟ.

Development of ion mobility spectrometry and its application for detection trace explosives

Ion mobility spectrometry is widely used for detection of explosives in the field of airport and in the war against terror due to its satisfactory features: fast response, high sensitivity, good portability, easy operation, etc. This paper introduced the pricinple, classification and also their features of ion mobility sepctrometry; also mainly introduced recent developments of technique for detection of explosives in our laboratory including titration region-ion mobility spectrometry, new method to improve the resolution of ion mobility spectrometry and also the nonradioactive high-efficency ionization source based on VUV lamp. Finally, the development tendency and prospect of ion mobility spectrometry for detection of explosives was predicted.

Bradbury–Nielsen–Gate–Grid Structure for Further Enhancing the Resolution of Ion Mobility Spectrometry

In our previous work we proposed a three-zone theory for the Bradbury-Nielsen (BN) gate and proved with a grid-BN structure ion mobility drift tube that enhancements of the three-zone features led to higher resolutions and sometimes higher sensitivities. In this work we continued to seek further improvements of the resolution performance by adopting a BN-grid structure in the same drift tube. The postgate grid works both for confinement of the BN gate induced electric field and for isolation of the injection field from the drift field. This makes it possible to obtain better resolutions by further enhancing the compression electric field and lowering the injection field. It was found in the following experiments that reducing the injection field led to higher resolutions yet lower sensitivities. At an injection field of 140 V/cm, the inverse compression coefficient was found to be much larger than that in the grid-BN structure at all gating voltage differences (GVDs). At GVD = 350 V and a gate pulse width of 0.34 ms, the ion mobility spectrometry efficiency R(m)/R(c) reached as high as 221% in the BN-grid structure, presenting a further increase compared to 182% in the grid-BN structure. Finally, two examples are given to show the separation power improvements with good resolutions.

Improving the efficiency of ion mobility spectrometry analyses by using multivariate calibration

The simplicity, sensitivity and expeditiousness of ion mobility spectrometry (IMS) make it especially useful for the determination of active principal ingredients (APIs) present at low concentrations in pharmaceuticals. However, the poor resolution of this technique precludes the identification and/or determination of substances with similar molecular weights, which exhibit also similar drift times and give overlapped peaks as a result. Oral contraceptives are pharmaceutical formulations containing two APIs of similar molecular weights at very low concentrations which therefore give strongly overlapped peaks hindering their determination by IMS. In this work, we assessed the potential of IMS for detecting and quantifying the contraceptives ethinylestradiol (ETE) and desogestrel (DES) in commercial tablets. To this end, we used various chemometric techniques including a second-derivative (TN2D) algorithm and the more powerful choice Multivariate Curve Resolution (MCR) to improve the resolution of IMS and enable the determination of both APIs. Quantitation was based on PLS1 models for each API. The models constructed involve a single PLS factor with a Y-explained variance above 98.4%, obtaining a RMSEP of 0.34 and 0.63 for ETE and DES, respectively. The ensuing method, which was validated for use in routine analyses, is quite expeditious (analyses take less than 1min) and uses very small amounts of sample (a few microliters). Based on the results, IMS has a great potential for the qualitative and quantitative determination of APIs in low doses.

Increased ion transmission in IMS: A high resolution, periodic-focusing DC ion guide ion mobility spectrometer

The resolution of ion mobility spectrometry (IMS) is of paramount importance for both post-ionization separations and structural characterization of ions that have similar ion-neutral collision cross sections; however, the instrumental features that lead to increased resolution also decrease ion transmission through the drift cell. The periodic-focusing DC ion guide (PDC IG) drift cell provides increased ion transmission with minimal loss in resolution. In earlier work we showed that the electrode geometry (inner diameter, thickness, and spacing) strongly affects ion focusing and ion transmission. Here, we critically evaluate the effect of the electrode geometry of a PDC IG drift cell on both ion transmission and resolution. In this study we examine two drift cells that differ in length (63 and 125 cm) and electrode configuration. We also examine the effects of applied voltage and pressure in an attempt to maximize both resolution and ion transmission. Experimental data obtained with fullerene and model peptide ions are compared with calculated ion trajectories using SIMION 8.0 simulations.

Coulombic Effects in Ion Mobility Spectrometry

Ion mobility spectrometry (IMS) has been increasingly employed in a number of applications. When coupled to mass spectrometry (MS), IMS becomes a powerful analytical tool for separating complex samples and investigating molecular structure. Therefore, improvements in IMS-MS instrumentation, e.g., IMS resolving power and sensitivity, are highly desirable. Implementation of an ion trap for accumulation and pulsed ion injection to IMS based on the ion funnel has provided considerably increased ion currents and thus a basis for improved sensitivity and measurement throughput. However, large ion populations may manifest Coulombic effects contributing to the spatial dispersion of ions traveling in the IMS drift tube and reduction in the IMS resolving power. In this study, we present an analysis of Coulombic effects on IMS resolution. Basic relationships have been obtained for the spatial evolution of ion packets due to Coulombic repulsion. The analytical relationships were compared with results of a computer model that simulates IMS operation based on a first principles approach. Initial experimental results reported here are consistent with the computer modeling. A noticeable decrease in the IMS resolving power was observed for ion populations of >10,000 elementary charges. The optimum IMS operation conditions which would minimize the Coulombic effects are discussed.

Deciphering Drift Time Measurements from Travelling Wave Ion Mobility Spectrometry-Mass Spectrometry Studies

Detailed knowledge of the tertiary and quaternary structure of proteins and protein complexes is of immense importance in understanding their functionality. Similarly, variations in the conformational states of proteins form the underlying mechanisms behind many biomolecular processes, numerous of which are disease-related. Thus, the availability of reliable and accurate biophysical techniques that can provide detailed information concerning these issues is of paramount importance. Ion mobility spectrometry (IMS) coupled to mass spectrometry (MS) offers a unique opportunity to separate multi-component biomolecular entities and to measure the molecular mass and collision cross-section of individual components in a single, rapid (</= 2 min) experiment, providing 3D- architectural information directly. Here we report a method of calibrating a commercially available electrospray ionisation (ESI)-travelling wave ion mobility spectrometry (TWIMS)-mass spectrometer using known cross-sectional areas determined for a range of biomolecules by conventional IMS-MS. Using this method of calibration, we have analysed a range of proteins of differing mass and 3D architecture in their native conformations by ESI-TWIMS-MS and found that the cross-sectional areas measured in this way compare extremely favourably with cross-sectional areas calculated using an in-house computing method based on Protein Data Bank NMR-derived co-ordinates. This not only provides a high degree of confidence in the calibration method, but also suggests that the gas phase ESI- TWIMS-MS measurements relate well to solution-based measurements derived from other biophysical techniques. In order to determine which instrumental parameters affect the ESI-TWIMS-MS cross-sectional area calibration, a systematic study of the parameters used to optimise TWIMS drift time separations has been carried out, observing the effect each parameter has on drift times and IMS resolution. Finally, the ESI-TWIMS-MS cross-sectional area calibration has been applied to the analysis of the amyloidogenic protein beta(2)-microglobulin and measurements for three co-populated conformational families, present under denaturing conditions, have been made: the folded, partially unfolded and unfolded states.

Evaluation of micro-electrospray ionization with ion mobility spectrometry/mass spectrometry

In recent years, the resolving power of ion mobility instruments has been increased significantly, enabling ion mobility spectrometry (IMS) to be utilized as an analytical separation technique for complex mixtures. In theory, decreasing the drift tube temperature results in increased resolution due to decreased ion diffusion. However, the heat requirements for complete ion desolvation with electrospray ionization (ESI) have limited the reduction of temperatures in atmospheric pressure ion mobility instruments. Micro-electrospray conditions were investigated in this study to enable more efficient droplet formation and ionization with the objective of reducing drift tube temperatures and increasing IMS resolution. For small molecules (peptides), the drift tube temperature was reduced to ambient temperature with good resolution by employing reduced capillary diameters and flow rates. By employing micro-spray conditions, experimental resolution values approaching theoretically predicted resolution were achieved over a wide temperature range (30 to 250 °C). The historical heat requirements of atmospheric pressure IMS due to ESI desolvation were eliminated due to the use of micro-spray conditions and the high-resolution IMS spectra of GLY-HIS-LYS was obtained at ambient temperature. The desolvation of proteins (cytochrome c) was found to achieve optimal resolution at temperatures greater than 125 °C. This is significantly improved from earlier IMS studies that required drift tube temperatures of 250°C for protein desolvation.