Novel Hybrid Quadrupole-Multireflecting Time-of-Flight Mass Spectrometry System.

A novel mass spectrometry system is described here comprising a quadrupole-multireflecting time-of-flight design. The new multireflecting time-of-flight analyzer has an effective path length of 48 m and employs planar, gridless ion mirrors providing fourth-order energy focusing resulting in resolving power over 200 000 fwhm and sub-ppm mass accuracy. We show how these attributes are maintained with relatively fast acquisition speeds, setting the system apart from other high resolution mass spectrometers. We have integrated this new system into both liquid chromatography-mass spectrometry and mass spectrometry imaging workflows to demonstrate how the instrument characteristics are of benefit to these applications.

Analysis of matrix-assisted laser desorption/ionization quadrupole time-of-flight collision-induced dissociation spectra of simple precursor ions and isobaric oligosaccharide ion mixtures based on product ion intensities and pattern recognition.

RATIONALE: Qualitative analysis of glycomic tandem mass spectrometry (MS/MS) data based on m/z values of product ions alone is widely used, and often sufficient for analysis of single analytes. However, most complex glycomic mixtures contain multiple isobaric oligosaccharides, in which case this approach is often limited. Here we show how ion intensity information can be used in order to enhance MS/MS data analysis, and extract both qualitative and semiquantitative information from complex glycomic MS/MS datasets. METHODS: A matrix-assisted laser desorption/ionization quadrupole time-of-flight (MALDI QTOF) mass spectrometer was used in this study. We compared the intensities of product ions within a single product ion series, determined by their length, across the whole glycomic MS/MS dataset. In order to detect discernable patterns, the intensity data was normalized to the intensity of each product ion within the series. In most cases, normalized data yielded easily discernable patterns, relevant either for analysis of specific glycomic structure types, or mechanistic MS studies. RESULTS: We used our approach on a glycomic sample consisting of human milk oligosaccharides. The approach yielded useful results for both qualitative and semiquantitative analyses. All normalizations performed were not equally rich in information and the information content of generated tables was not possible to predict. These analyses were shown to be independent of instrument manufacturer. CONCLUSIONS: Our approach enabled more detailed qualitative analysis of MS/MS spectra of precursor ions containing isobaric oligosaccharide structures. While limited semiquantitative information could be extracted from the raw data as well, the accuracy of this method should be significantly enhanced when standard calibration mixtures can be prepared. Copyright © 2017 John Wiley & Sons, Ltd.

MALDI Q-TOF CID MS for diagnostic ion screening of human milk oligosaccharide samples.

Human milk oligosaccharides (HMO) represent the bioactive components of human milk, influencing the infant's gastrointestinal microflora and immune system. Structurally, they represent a highly complex class of analyte, where the main core oligosaccharide structures are built from galactose and N-acetylglucosamine, linked by 1-3 or 1-4 glycosidic linkages and potentially modified with fucose and sialic acid residues. The core structures can be linear or branched. Additional structural complexity in samples can be induced by endogenous exoglycosidase activity or chemical procedures during the sample preparation. Here, we show that using matrix-assisted laser desorption/ionization (MALDI) quadrupole-time-of-flight (Q-TOF) collision-induced dissociation (CID) as a fast screening method, diagnostic structural information about single oligosaccharide components present in a complex mixture can be obtained. According to sequencing data on 14 out of 22 parent ions detected in a single high molecular weight oligosaccharide chromatographic fraction, 20 different oligosaccharide structure types, corresponding to over 30 isomeric oligosaccharide structures and over 100 possible HMO isomers when biosynthetic linkage variations were taken into account, were postulated. For MS/MS data analysis, we used the de novo sequencing approach using diagnostic ion analysis on reduced oligosaccharides by following known biosynthetic rules. Using this approach, de novo characterization has been achieved also for the structures, which could not have been predicted.

Ion mobility derived collision cross sections to support metabolomics applications.

Metabolomics is a rapidly evolving analytical approach in life and health sciences. The structural elucidation of the metabolites of interest remains a major analytical challenge in the metabolomics workflow. Here, we investigate the use of ion mobility as a tool to aid metabolite identification. Ion mobility allows for the measurement of the rotationally averaged collision cross-section (CCS), which gives information about the ionic shape of a molecule in the gas phase. We measured the CCSs of 125 common metabolites using traveling-wave ion mobility-mass spectrometry (TW-IM-MS). CCS measurements were highly reproducible on instruments located in three independent laboratories (RSD < 5% for 99%). We also determined the reproducibility of CCS measurements in various biological matrixes including urine, plasma, platelets, and red blood cells using ultra performance liquid chromatography (UPLC) coupled with TW-IM-MS. The mean RSD was < 2% for 97% of the CCS values, compared to 80% of retention times. Finally, as proof of concept, we used UPLC-TW-IM-MS to compare the cellular metabolome of epithelial and mesenchymal cells, an in vitro model used to study cancer development. Experimentally determined and computationally derived CCS values were used as orthogonal analytical parameters in combination with retention time and accurate mass information to confirm the identity of key metabolites potentially involved in cancer. Thus, our results indicate that adding CCS data to searchable databases and to routine metabolomics workflows will increase the identification confidence compared to traditional analytical approaches.