Journal articles on the topic 'Ion mobility mass spectrometry imaging'

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1

Mesa Sanchez, Daniela, Steve Creger, Veerupaksh Singla, Ruwan T. Kurulugama, John Fjeldsted, and Julia Laskin. "Ion Mobility-Mass Spectrometry Imaging Workflow." Journal of the American Society for Mass Spectrometry 31, no. 12 (August 4, 2020): 2437–42. http://dx.doi.org/10.1021/jasms.0c00142.

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2

Jackson, Shelley N., Damon Barbacci, Thomas Egan, Ernest K. Lewis, J. Albert Schultz, and Amina S. Woods. "MALDI-ion mobility mass spectrometry of lipids in negative ion mode." Anal. Methods 6, no. 14 (2014): 5001–7. http://dx.doi.org/10.1039/c4ay00320a.

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3

McLean, John A., Whitney B. Ridenour, and Richard M. Caprioli. "Profiling and imaging of tissues by imaging ion mobility-mass spectrometry." Journal of Mass Spectrometry 42, no. 8 (2007): 1099–105. http://dx.doi.org/10.1002/jms.1254.

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4

Guillén-Alonso, Héctor, Ignacio Rosas-Román, and Robert Winkler. "The emerging role of 3D-printing in ion mobility spectrometry and mass spectrometry." Analytical Methods 13, no. 7 (2021): 852–61. http://dx.doi.org/10.1039/d0ay02290j.

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3D-printing enables the rapid prototyping of ion mobility (IMS) and mass spectrometry (MS) gadgets. The RepRap components are suitable for building cost-efficient robots and MS imaging systems. In this review, we present current trends.
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5

Bowman, Andrew P., James Sawicki, Nari N. Talaty, Wayne R. Buck, Junhai Yang, and David S. Wagner. "Evaluation of Quantitative Platforms for Single Target Mass Spectrometry Imaging." Pharmaceuticals 15, no. 10 (September 23, 2022): 1180. http://dx.doi.org/10.3390/ph15101180.

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(1) Imaging of pharmaceutical compounds in tissue is an increasingly important subsection of Mass Spectrometry Imaging (MSI). Identifying proper target engagement requires MS platforms with high sensitivity and spatial resolution. Three prominent categories of drugs are small molecule drugs, antibody-drug conjugate payloads, and protein degraders. (2) We tested six common MSI platforms for their limit of detection (LoD) on a representative compound for each category: a Matrix-Assisted Laser Desorption/Ionization (MALDI) Fourier Transform Ion Cyclotron, a MALDI-2 Time-of-Flight (ToF), a MALDI-2 Trapped Ion Mobility Spectrometry ToF, a Desorption Electrospray Ionization Orbitrap, and 2 Atmospheric Pressure-MALDI Triple Quadrupoles. Samples were homogenized tissue mimetic models of rat liver spiked with known concentrations of analytes. (3) We found that the AP-MALDI-QQQ platform outperformed all 4 competing platforms by a minimum of 2- to 52-fold increase in LoD for representative compounds from each category of pharmaceutical. (4) AP-MALDI-QQQ platforms are effective, cost-efficient mass spectrometers for the identification of targeted analytes of interest.
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6

Sans, Marta, Clara L. Feider, and Livia S. Eberlin. "Advances in mass spectrometry imaging coupled to ion mobility spectrometry for enhanced imaging of biological tissues." Current Opinion in Chemical Biology 42 (February 2018): 138–46. http://dx.doi.org/10.1016/j.cbpa.2017.12.005.

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7

Chouinard, Christopher D., Michael S. Wei, Christopher R. Beekman, Robin H. J. Kemperman, and Richard A. Yost. "Ion Mobility in Clinical Analysis: Current Progress and Future Perspectives." Clinical Chemistry 62, no. 1 (January 1, 2016): 124–33. http://dx.doi.org/10.1373/clinchem.2015.238840.

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Abstract BACKGROUND Ion mobility spectrometry (IMS) is a rapid separation tool that can be coupled with several sampling/ionization methods, other separation techniques (e.g., chromatography), and various detectors (e.g., mass spectrometry). This technique has become increasingly used in the last 2 decades for applications ranging from illicit drug and chemical warfare agent detection to structural characterization of biological macromolecules such as proteins. Because of its rapid speed of analysis, IMS has recently been investigated for its potential use in clinical laboratories. CONTENT This review article first provides a brief introduction to ion mobility operating principles and instrumentation. Several current applications will then be detailed, including investigation of rapid ambient sampling from exhaled breath and other volatile compounds and mass spectrometric imaging for localization of target compounds. Additionally, current ion mobility research in relevant fields (i.e., metabolomics) will be discussed as it pertains to potential future application in clinical settings. SUMMARY This review article provides the authors' perspective on the future of ion mobility implementation in the clinical setting, with a focus on ambient sampling methods that allow IMS to be used as a “bedside” standalone technique for rapid disease screening and methods for improving the analysis of complex biological samples such as blood plasma and urine.
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8

Stauber, Jonathan, Luke MacAleese, Julien Franck, Emmanuelle Claude, Marten Snel, Basak Kükrer Kaletas, Ingrid M. V. D. Wiel, Maxence Wisztorski, Isabelle Fournier, and Ron M. A. Heeren. "On-tissue protein identification and imaging by MALDI-Ion mobility mass spectrometry." Journal of the American Society for Mass Spectrometry 21, no. 3 (March 2010): 338–47. http://dx.doi.org/10.1016/j.jasms.2009.09.016.

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9

Fu, Tingting, Janina Oetjen, Manuel Chapelle, Alexandre Verdu, Matthias Szesny, Arnaud Chaumot, Davide Degli-Esposti, et al. "In situ isobaric lipid mapping by MALDI-ion mobility separation-mass spectrometry imaging." Journal of Mass Spectrometry 55, no. 9 (June 21, 2020): e4531. http://dx.doi.org/10.1002/jms.4531.

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10

Neumann, Elizabeth K., Lukasz G. Migas, Jamie L. Allen, Richard M. Caprioli, Raf Van de Plas, and Jeffrey M. Spraggins. "Spatial Metabolomics of the Human Kidney using MALDI Trapped Ion Mobility Imaging Mass Spectrometry." Analytical Chemistry 92, no. 19 (July 15, 2020): 13084–91. http://dx.doi.org/10.1021/acs.analchem.0c02051.

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11

Li, Hang, Brian K. Smith, László Márk, Peter Nemes, Javad Nazarian, and Akos Vertes. "Ambient molecular imaging by laser ablation electrospray ionization mass spectrometry with ion mobility separation." International Journal of Mass Spectrometry 377 (February 2015): 681–89. http://dx.doi.org/10.1016/j.ijms.2014.06.025.

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12

Burnum-Johnson, Kristin E., Erin S. Baker, and Thomas O. Metz. "Characterizing the lipid and metabolite changes associated with placental function and pregnancy complications using ion mobility spectrometry-mass spectrometry and mass spectrometry imaging." Placenta 60 (December 2017): S67—S72. http://dx.doi.org/10.1016/j.placenta.2017.03.016.

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13

Spraggins, Jeffrey M., Katerina V. Djambazova, Emilio S. Rivera, Lukasz G. Migas, Elizabeth K. Neumann, Arne Fuetterer, Juergen Suetering, et al. "High-Performance Molecular Imaging with MALDI Trapped Ion-Mobility Time-of-Flight (timsTOF) Mass Spectrometry." Analytical Chemistry 91, no. 22 (October 8, 2019): 14552–60. http://dx.doi.org/10.1021/acs.analchem.9b03612.

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14

Hart, Philippa J., Simona Francese, M. Nicola Woodroofe, and Malcolm R. Clench. "Matrix assisted laser desorption ionisation ion mobility separation mass spectrometry imaging of ex-vivo human skin." International Journal for Ion Mobility Spectrometry 16, no. 2 (February 27, 2013): 71–83. http://dx.doi.org/10.1007/s12127-013-0124-6.

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15

Claude, E., M. Snel, P. J. Trim, T. McKenna, S. Watt, S. Wilson, and M. Ritchie. "Coupling MALDI MS with High-Efficiency Ion Mobility Spectrometry for Tissue Imaging of Low Mass Endogenous Compounds." Journal of Proteomics & Bioinformatics S2, no. 01 (July 2008): 156–57. http://dx.doi.org/10.4172/jpb.s1000119.

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16

Ekelöf, Måns, James Dodds, Sitora Khodjaniyazova, Kenneth P. Garrard, Erin S. Baker, and David C. Muddiman. "Coupling IR-MALDESI with Drift Tube Ion Mobility-Mass Spectrometry for High-Throughput Screening and Imaging Applications." Journal of the American Society for Mass Spectrometry 31, no. 3 (January 22, 2020): 642–50. http://dx.doi.org/10.1021/jasms.9b00081.

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17

Soltwisch, Jens, Bram Heijs, Annika Koch, Simeon Vens-Cappell, Jens Höhndorf, and Klaus Dreisewerd. "MALDI-2 on a Trapped Ion Mobility Quadrupole Time-of-Flight Instrument for Rapid Mass Spectrometry Imaging and Ion Mobility Separation of Complex Lipid Profiles." Analytical Chemistry 92, no. 13 (May 24, 2020): 8697–703. http://dx.doi.org/10.1021/acs.analchem.0c01747.

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18

Michno, Wojciech, Patrick M. Wehrli, Srinivas Koutarapu, Christian Marsching, Karolina Minta, Junyue Ge, Sven W. Meyer, et al. "Structural amyloid plaque polymorphism is associated with distinct lipid accumulations revealed by trapped ion mobility mass spectrometry imaging." Journal of Neurochemistry 160, no. 4 (December 26, 2021): 482–98. http://dx.doi.org/10.1111/jnc.15557.

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19

Guo, Runcong, Lei Zhou, and Xiaoyan Chen. "Desorption electrospray ionization (DESI) source coupling ion mobility mass spectrometry for imaging fluoropezil (DC20) distribution in rat brain." Analytical and Bioanalytical Chemistry 413, no. 23 (August 18, 2021): 5835–47. http://dx.doi.org/10.1007/s00216-021-03563-6.

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20

Ellis, Berkley M., Caleb N. Fischer, Leroy B. Martin, Brian O. Bachmann, and John A. McLean. "Spatiochemically Profiling Microbial Interactions with Membrane Scaffolded Desorption Electrospray Ionization-Ion Mobility-Imaging Mass Spectrometry and Unsupervised Segmentation." Analytical Chemistry 91, no. 21 (October 10, 2019): 13703–11. http://dx.doi.org/10.1021/acs.analchem.9b02992.

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21

Trim, Paul J., Claire M. Henson, Jennie L. Avery, Andrew McEwen, Marten F. Snel, Emmanuelle Claude, Peter S. Marshall, Andrew West, Alessandra P. Princivalle, and Malcolm R. Clench. "Matrix-Assisted Laser Desorption/Ionization-Ion Mobility Separation-Mass Spectrometry Imaging of Vinblastine in Whole Body Tissue Sections." Analytical Chemistry 80, no. 22 (November 15, 2008): 8628–34. http://dx.doi.org/10.1021/ac8015467.

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22

Helmer, Patrick O., Ilona D. Nordhorn, Ansgar Korf, Arne Behrens, Rebecca Buchholz, Florian Zubeil, Uwe Karst, and Heiko Hayen. "Complementing Matrix-Assisted Laser Desorption Ionization-Mass Spectrometry Imaging with Chromatography Data for Improved Assignment of Isobaric and Isomeric Phospholipids Utilizing Trapped Ion Mobility-Mass Spectrometry." Analytical Chemistry 93, no. 4 (January 8, 2021): 2135–43. http://dx.doi.org/10.1021/acs.analchem.0c03942.

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23

Hoffmann, Nils, Gerhard Mayer, Canan Has, Dominik Kopczynski, Fadi Al Machot, Dominik Schwudke, Robert Ahrends, Katrin Marcus, Martin Eisenacher, and Michael Turewicz. "A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics." Metabolites 12, no. 7 (June 23, 2022): 584. http://dx.doi.org/10.3390/metabo12070584.

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Mass spectrometry is a widely used technology to identify and quantify biomolecules such as lipids, metabolites and proteins necessary for biomedical research. In this study, we catalogued freely available software tools, libraries, databases, repositories and resources that support lipidomics data analysis and determined the scope of currently used analytical technologies. Because of the tremendous importance of data interoperability, we assessed the support of standardized data formats in mass spectrometric (MS)-based lipidomics workflows. We included tools in our comparison that support targeted as well as untargeted analysis using direct infusion/shotgun (DI-MS), liquid chromatography−mass spectrometry, ion mobility or MS imaging approaches on MS1 and potentially higher MS levels. As a result, we determined that the Human Proteome Organization-Proteomics Standards Initiative standard data formats, mzML and mzTab-M, are already supported by a substantial number of recent software tools. We further discuss how mzTab-M can serve as a bridge between data acquisition and lipid bioinformatics tools for interpretation, capturing their output and transmitting rich annotated data for downstream processing. However, we identified several challenges of currently available tools and standards. Potential areas for improvement were: adaptation of common nomenclature and standardized reporting to enable high throughput lipidomics and improve its data handling. Finally, we suggest specific areas where tools and repositories need to improve to become FAIRer.
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24

Hale, Oliver J., James W. Hughes, and Helen J. Cooper. "Simultaneous spatial, conformational, and mass analysis of intact proteins and protein assemblies by nano-DESI travelling wave ion mobility mass spectrometry imaging." International Journal of Mass Spectrometry 468 (October 2021): 116656. http://dx.doi.org/10.1016/j.ijms.2021.116656.

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25

Xu, Libin, Michal Kliman, Jay G. Forsythe, Zeljka Korade, Anthony B. Hmelo, Ned A. Porter, and John A. McLean. "Profiling and Imaging Ion Mobility-Mass Spectrometry Analysis of Cholesterol and 7-Dehydrocholesterol in Cells Via Sputtered Silver MALDI." Journal of The American Society for Mass Spectrometry 26, no. 6 (March 31, 2015): 924–33. http://dx.doi.org/10.1007/s13361-015-1131-0.

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26

Lichtenwalner, Daniel J., J. Houston Dycus, Wei Zong Xu, James M. Lebeau, Brett A. Hull, Scott Allen, and John W. Palmour. "Electrical Properties and Interface Structure of SiC MOSFETs with Barium Interface Passivation." Materials Science Forum 897 (May 2017): 163–66. http://dx.doi.org/10.4028/www.scientific.net/msf.897.163.

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A Barium-rich interface process provides SiO2/SiC interface conditions suitable for obtaining SiC field-effect (FE) channel mobility twice that of a nitric oxide (NO) passivation anneal. The temperature dependence of the field-effect mobility indicates clear differences in their interface properties. Secondary-ion mass spectrometry (SIMS) indicates that Ba remains predominantly at the SiO2/SiC interface, with only ~1×1017 cm-3 Ba in the oxide.The interface structure and chemistry of the Ba-modified MOS devices was investigated using scanning transmission electron microscopy (STEM) and energy-dispersive X-ray spectroscopy (EDS). High-angle annular dark-field (HAADF) imaging reveals that the Ba interface layer results in an oxide-interface region not present in the NO annealed control sample. EDS mapping shows that this is a Ba-rich oxide interface layer. Using a new technique “revolving STEM” (RevSTEM) to correct drift and image distortion, SiC strain maps were generated. With an NO anneal there is tensile strain within SiC at the SiO2/SiC interface, along the C-axis direction. With the Ba interlayer, however, there is no observable strain relative to the bulk SiC. This interface strain may correlate with the inversion layer mobility, with an unstrained interface preferred.
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27

Sussulini, Alessandra. "Chemical Imaging – Is an Image Always Worth a Thousand Spectra?" Brazilian Journal of Analytical Chemistry 10, no. 38 (December 22, 2022): 11–12. http://dx.doi.org/10.30744/brjac.2179-3425.point-of-view-asussulini.n38.

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Chemical images can be described as distribution maps that correlate the chemical information of an element or molecule, such as mass-to-charge ratio (m/z) or wavelength, with its intensity and/or concentration in a given sample. These images are usually obtained by mass spectrometry (MS) or optical spectroscopy techniques, where hundreds or thousands of spectra are initially acquired and dedicated image processing software is employed to construct and edit the final pictures, as well as selecting and annotating regions of interest in a sample, performing calibration procedures, etc. Mass spectrometry imaging (preferably abbreviated as MSI, to distinguish it from ion mobility spectrometry – IMS) is currently the most employed chemical imaging strategy, as can be noticed in the most recently published papers. Depending on the selected ionization technique, molecular or elemental images can be acquired. For molecular MSI, the classical matrix-assisted laser desorption/ionization (MALDI) is generally applied for imaging lipids, peptides and proteins, and the ambient ionization technique desorption electrospray ionization (DESI) is commonly applied for visualizing lipid distribution. In terms of elemental MSI, laser ablation inductively coupled plasma (LA-ICP) is undoubtedly the technique of choice, although nano-secondary ion mass spectrometry (nanoSIMS) can also be applied. Considering optical spectroscopy, the main techniques used nowadays are Raman and near-infrared radiation – NIR – spectroscopy for molecular imaging, and Synchrotron radiation X-ray fluorescence – SRXRF – and laser-induced breakdown spectroscopy – LIBS – for elemental imaging. Amongst these techniques, the best spatial resolutions are generally achieved by SRXRF (elemental imaging) and Raman spectroscopy (molecular imaging). Analytical chemistry advances in chemical imaging allow the acquisition of images with high spatial resolution, which is particularly interesting when studying specific regions or cell structures in a biological sample. For instance, in a Parkinson’s disease model, LA-ICP-MS images with good spatial resolution make the distinction of specific mouse brain regions possible and, consequently, the association of metal ion concentrations to each region,1 which is a relevant result considering micro-local metal speciation in neurodegenerative diseases. Nevertheless, there are some drawbacks in chemical imaging that demand further analytical development, such as the long analysis time and the lack of certified reference materials for quantitative analysis and method validation, as well as open-source software with advanced multivariate statistical analysis tools. Another obstacle to overcome concerns the integration of elemental and molecular imaging results. Since 2009, when one of the first review articles regarding the combination of these imaging approaches in a synergistic way was proposed by Becker and Jakubowski,2 until more recently described in reviews from 20203 and 2021,4 it has been possible to realize that there is still much work to be done in this field. This is mostly due to the fact that each imaging technique provides different spatial resolutions, making image superposition difficult, and also the absence of software and algorithms that allow the integration of different data sets in order to obtain trustworthy results and produce relevant study hypotheses. Besides that, the instrumentation for chemical imaging is rather costly and usually research groups are specialized in either molecular or elemental imaging. With these considerations, it is important to emphasize that the community involved in chemical imaging research should focus not only on the quality of the generated images in terms of resolution but also, if they are indeed worth a thousand spectra, on interpretation of the initial questions in a deep and holistic manner. After all, the main objective of chemical imaging is that the images represent how the process in question (disease, treatment, contamination, genetic modification, etc.) locally affects the system (biological, environmental, pharmaceutical sample) under study and, then, provide solutions for solving problems in different areas, such as forensic, environmental and life sciences.
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28

Walton, Barbara L., and Guido F. Verbeck. "Soft-Landing Ion Mobility of Silver Clusters for Small-Molecule Matrix-Assisted Laser Desorption Ionization Mass Spectrometry and Imaging of Latent Fingerprints." Analytical Chemistry 86, no. 16 (July 24, 2014): 8114–20. http://dx.doi.org/10.1021/ac5010822.

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29

Cole, Laura M., Khaled Mahmoud, Sarah Haywood-Small, Gillian M. Tozer, David P. Smith, and Malcolm R. Clench. "Recombinant " IMS TAG" proteins - A new method for validating bottom-up matrix-assisted laser desorption/ionisation ion mobility separation mass spectrometry imaging." Rapid Communications in Mass Spectrometry 27, no. 21 (October 1, 2013): 2355–62. http://dx.doi.org/10.1002/rcm.6693.

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30

Cintron-Diaz, Yarixa L., Mario E. Gomez-Hernandez, Marthe M. H. A. Verhaert, Peter D. E. M. Verhaert, and Francisco Fernandez-Lima. "Spatially Resolved Neuropeptide Characterization from Neuropathological Formalin-Fixed, Paraffin-Embedded Tissue Sections by a Combination of Imaging MALDI FT-ICR Mass Spectrometry Histochemistry and Liquid Extraction Surface Analysis-Trapped Ion Mobility Spectrometry-Tandem Mass Spectrometry." Journal of the American Society for Mass Spectrometry 33, no. 4 (March 8, 2022): 681–87. http://dx.doi.org/10.1021/jasms.1c00376.

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31

Mullangi, Ramesh, and Ramani Addepalli. "A concise review on lipidomics analysis in biological samples." ADMET and DMPK 9, no. 1 (December 8, 2020): 1–22. http://dx.doi.org/10.5599/admet.913.

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Lipids are a complex and critical heterogeneous molecular entity, playing an intricate and key role in understanding biological activities and disease processes. Lipidomics aims to quantitatively define the lipid classes, including their molecular species. The analysis of the biological tissues and fluids are challenging due to the extreme sample complexity and occurrence of the molecular species as isomers or isobars. This review documents the overview of lipidomics workflow, beginning from the approaches of sample preparation, various analytical techniques and emphasizing the state-of-the-art mass spectrometry either by shotgun or coupled with liquid chromatography. We have considered the latest ion mobility spectroscopy technologies to deal with the vast number of structural isomers, different imaging techniques. All these techniques have their pitfalls and we have discussed how to circumvent them after reviewing the power of each technique with examples.
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32

Bhatt, Kinjal, Thibaut Dejong, Lena M. Dubois, Alice Markey, Nicolas Gengler, José Wavreille, Pierre-Hugues Stefanuto, and Jean-François Focant. "Lipid Serum Profiling of Boar-Tainted and Untainted Pigs Using GC×GC–TOFMS: An Exploratory Study." Metabolites 12, no. 11 (November 15, 2022): 1111. http://dx.doi.org/10.3390/metabo12111111.

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Mass spectrometry (MS)-based techniques, including liquid chromatography coupling, shotgun lipidomics, MS imaging, and ion mobility, are widely used to analyze lipids. However, with enhanced separation capacity and an optimized chemical derivatization approach, comprehensive two-dimensional gas chromatography (GC×GC) can be a powerful tool to investigate some groups of small lipids in the framework of lipidomics. This study describes the optimization of a dedicated two-stage derivatization and extraction process to analyze different saturated and unsaturated fatty acids in plasma by two-dimensional gas chromatography–time-of-flight mass spectrometry (GC×GC–TOFMS) using a full factorial design. The optimized condition has a composite desirability of 0.9159. This optimized sample preparation and chromatographic condition were implemented to differentiate between positive (BT) and negative (UT) boar-tainted pigs based on fatty acid profiling in pig serum using GC×GC–TOFMS. A chemometric screening, including unsupervised (PCA, HCA) and supervised analysis (PLS–DA), as well as univariate analysis (volcano plot), was performed. The results suggested that the concentration of PUFA ω-6 and cholesterol derivatives were significantly increased in BT pigs, whereas SFA and PUFA ω-3 concentrations were increased in UT pigs. The metabolic pathway and quantitative enrichment analysis suggest the significant involvement of linolenic acid metabolism.
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Djidja, Marie-Claude, Emmanuelle Claude, Marten F. Snel, Peter Scriven, Simona Francese, Vikki Carolan, and Malcolm R. Clench. "MALDI-Ion Mobility Separation-Mass Spectrometry Imaging of Glucose-Regulated Protein 78 kDa (Grp78) in Human Formalin-Fixed, Paraffin-Embedded Pancreatic Adenocarcinoma Tissue Sections." Journal of Proteome Research 8, no. 10 (October 2, 2009): 4876–84. http://dx.doi.org/10.1021/pr900522m.

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34

Škrášková, Karolina, Emmanuelle Claude, Emrys A. Jones, Mark Towers, Shane R. Ellis, and Ron M. A. Heeren. "Enhanced capabilities for imaging gangliosides in murine brain with matrix-assisted laser desorption/ionization and desorption electrospray ionization mass spectrometry coupled to ion mobility separation." Methods 104 (July 2016): 69–78. http://dx.doi.org/10.1016/j.ymeth.2016.02.014.

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35

Han, Jiajun, Shunyao Wang, Kirsten Yeung, Diwen Yang, Wen Gu, Zhiyuan Ma, Jianxian Sun, et al. "Proteome-wide effects of naphthalene-derived secondary organic aerosol in BEAS-2B cells are caused by short-lived unsaturated carbonyls." Proceedings of the National Academy of Sciences 117, no. 41 (September 28, 2020): 25386–95. http://dx.doi.org/10.1073/pnas.2001378117.

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Exposure to air pollution causes adverse health outcomes, but the toxicity mechanisms remain unclear. Here, we investigated the dynamic toxicities of naphthalene-derived secondary organic aerosol (NSOA) in a human bronchial epithelial cell line (BEAS-2B) and identified the chemical components responsible for toxicities. The chemical composition of NSOA was found to vary with six simulated atmospheric aging conditions (C1–C6), as characterized by high-resolution mass spectrometry and ion mobility mass spectrometry. Global proteome profiling reveals dynamic evolution in toxicity: Stronger proteome-wide impacts were detected in fresh NSOA, but the effects declined along with atmospheric aging. While Nrf2-regulated proteins (e.g.,NQO1) were significantly up-regulated, the majority (78 to 97%) of proteins from inflammation and other pathways were down-regulated by NSOA exposure (e.g.,Rho GTPases). This pattern is distinct from the reactive oxygen species (ROS)-mediated toxicity pathway, and an alternative cysteine reaction pathway was revealed by the decreased abundance of proteins (e.g.,MT1X) prone to posttranslational thiol modification. This pathway was further validated by observing decreased Nrf2 response in reporter cells, after preincubating NSOA with cysteine. Ethynyl-naphthalene probe was employed to confirm the alkylation of cellular proteome thiols on the proteome-wide level by fresh NSOA via in-gel fluorescence imaging. Nontarget analysis identified several unsaturated carbonyls, including naphthoquinones and hydroxylated naphthoquinones, as the toxic components responsible for cysteine reactivity. Our study provides insights into the dynamic toxicities of NSOA during atmospheric aging and identifies short-lived unsaturated carbonyls as the predominant toxic components at the posttranslational level.
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Towers, Mark W., Tamas Karancsi, Emrys A. Jones, Steven D. Pringle, and Emmanuelle Claude. "Optimised Desorption Electrospray Ionisation Mass Spectrometry Imaging (DESI-MSI) for the Analysis of Proteins/Peptides Directly from Tissue Sections on a Travelling Wave Ion Mobility Q-ToF." Journal of The American Society for Mass Spectrometry 29, no. 12 (August 30, 2018): 2456–66. http://dx.doi.org/10.1007/s13361-018-2049-0.

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37

Binson, V. A., and M. Subramoniam. "Exhaled Breath Volatile Organic Compound Analysis for the Detection of Lung Cancer- A Systematic Review." Journal of Biomimetics, Biomaterials and Biomedical Engineering 56 (May 20, 2022): 17–35. http://dx.doi.org/10.4028/p-dab04j.

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A rapid and effective diagnostic method is essential for lung cancer since it shows symptoms only at its advanced stage. Research is being carried out in the area of exhaled breath analysis for the diagnosis of various pulmonary diseases including lung cancer. In this method exhaled breath volatile organic compounds (VOC) are analyzed with various techniques such as gas chromatography-mass spectrometry, ion mobility spectrometry, and electronic noses. The VOC analysis is suitable for lung cancer detection since it is non-invasive, fast, and also a low-cost method. In addition, this technique can detect primary stage nodules. This paper presents a systematic review of the various method employed by researchers in the breath analysis field. The articles were selected through various search engines like EMBASE, Google Scholar, Pubmed, and Google. In the initial screening process, 214 research papers were selected using various inclusion and exclusion criteria and finally, 55 articles were selected for the review. The results of the reviewed studies show that detection of lung cancer can be effectively done using the VOC analysis of exhaled breath. The results also show that this method can be used for detecting the different stages and histology of lung cancer. The exhaled breath VOC analysis technique will be popular in the future, bypassing the existing imaging techniques. This systematic review conveys the recent research opportunities, obstacles, difficulties, motivations, and suggestions associated with the breath analysis method for lung cancer detection.
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38

Hayashi, Akio, Nobutake Sato, Haruo Hosoda, and Ushio Takeda. "Ion Mobility Mass Spectrometry." Japanese Journal of Pesticide Science 42, no. 1 (2017): 187–96. http://dx.doi.org/10.1584/jpestics.w17-55.

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39

Kanu, Abu B., Prabha Dwivedi, Maggie Tam, Laura Matz, and Herbert H. Hill. "Ion mobility-mass spectrometry." Journal of Mass Spectrometry 43, no. 1 (January 16, 2008): 1–22. http://dx.doi.org/10.1002/jms.1383.

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40

Tose, Lilian V., Paolo Benigni, Dennys Leyva, Abigail Sundberg, César E. Ramírez, Mark E. Ridgeway, Melvin A. Park, Wanderson Romão, Rudolf Jaffé, and Francisco Fernandez-Lima. "Coupling trapped ion mobility spectrometry to mass spectrometry: trapped ion mobility spectrometry-time-of-flight mass spectrometry versus trapped ion mobility spectrometry-Fourier transform ion cyclotron resonance mass spectrometry." Rapid Communications in Mass Spectrometry 32, no. 15 (July 5, 2018): 1287–95. http://dx.doi.org/10.1002/rcm.8165.

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41

Collins, D., and M. Lee. "Developments in ion mobility spectrometry–mass spectrometry." Analytical and Bioanalytical Chemistry 372, no. 1 (December 12, 2001): 66–73. http://dx.doi.org/10.1007/s00216-001-1195-5.

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42

Lawrence, A. H., and A. A. Nanji. "Ion mobility spectrometry and ion mobility spectrometry/mass spectrometric characterization of dimenhydrinate." Biological Mass Spectrometry 16, no. 1-12 (October 1988): 345–47. http://dx.doi.org/10.1002/bms.1200160167.

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43

Pollard, Matthew J., Christopher K. Hilton, Hongli Li, Kimberly Kaplan, Richard A. Yost, and Herbert H. Hill. "Ion mobility spectrometer—field asymmetric ion mobility spectrometer-mass spectrometry." International Journal for Ion Mobility Spectrometry 14, no. 1 (March 9, 2011): 15–22. http://dx.doi.org/10.1007/s12127-011-0058-9.

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44

Garcia, Xavier, Maria Sabaté, Jorge Aubets, Josep Jansat, and Sonia Sentellas. "Ion Mobility–Mass Spectrometry for Bioanalysis." Separations 8, no. 3 (March 16, 2021): 33. http://dx.doi.org/10.3390/separations8030033.

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This paper aims to cover the main strategies based on ion mobility spectrometry (IMS) for the analysis of biological samples. The determination of endogenous and exogenous compounds in such samples is important for the understanding of the health status of individuals. For this reason, the development of new approaches that can be complementary to the ones already established (mainly based on liquid chromatography coupled to mass spectrometry) is welcomed. In this regard, ion mobility spectrometry has appeared in the analytical scenario as a powerful technique for the separation and characterization of compounds based on their mobility. IMS has been used in several areas taking advantage of its orthogonality with other analytical separation techniques, such as liquid chromatography, gas chromatography, capillary electrophoresis, or supercritical fluid chromatography. Bioanalysis is not one of the areas where IMS has been more extensively applied. However, over the last years, the interest in using this approach for the analysis of biological samples has clearly increased. This paper introduces the reader to the principles controlling the separation in IMS and reviews recent applications using this technique in the field of bioanalysis.
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Wu, Ching, William F. Siems, G. Reid Asbury, and Herbert H. Hill. "Electrospray Ionization High-Resolution Ion Mobility Spectrometry−Mass Spectrometry." Analytical Chemistry 70, no. 23 (December 1998): 4929–38. http://dx.doi.org/10.1021/ac980414z.

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46

Inutan, Ellen, and Sarah Trimpin. "Laserspray ionization (LSI) ion mobility spectrometry (IMS) mass spectrometry." Journal of the American Society for Mass Spectrometry 21, no. 7 (July 2010): 1260–64. http://dx.doi.org/10.1016/j.jasms.2010.03.039.

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47

Zhong, Yueyang, Suk-Joon Hyung, and Brandon T. Ruotolo. "Ion mobility–mass spectrometry for structural proteomics." Expert Review of Proteomics 9, no. 1 (February 2012): 47–58. http://dx.doi.org/10.1586/epr.11.75.

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48

Eldrid, Charles, and Konstantinos Thalassinos. "Developments in tandem ion mobility mass spectrometry." Biochemical Society Transactions 48, no. 6 (December 18, 2020): 2457–66. http://dx.doi.org/10.1042/bst20190788.

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Ion Mobility (IM) coupled to mass spectrometry (MS) is a useful tool for separating species of interest out of small quantities of heterogenous mixtures via a combination of m/z and molecular shape. While tandem MS instruments are common, instruments which employ tandem IM are less so with the first commercial IM–MS instrument capable of multiple IM selection rounds being released in 2019. Here we explore the history of tandem IM instruments, recent developments, the applications to biological systems and expected future directions.
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Ruotolo, Brandon T., Kent J. Gillig, Earle G. Stone, and David H. Russell. "Peak capacity of ion mobility mass spectrometry:." Journal of Chromatography B 782, no. 1-2 (December 2002): 385–92. http://dx.doi.org/10.1016/s1570-0232(02)00566-4.

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50

Harvey, Sophie R., Cait E. MacPhee, and Perdita E. Barran. "Ion mobility mass spectrometry for peptide analysis." Methods 54, no. 4 (August 2011): 454–61. http://dx.doi.org/10.1016/j.ymeth.2011.05.004.

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