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Готові списки джерел за темами / Ionic imaging by mass spectrometry

Добірка наукової літератури з теми "Ionic imaging by mass spectrometry"

Автор: Grafiati

Опубліковано: 8 червня 2024

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Статті в журналах з теми "Ionic imaging by mass spectrometry":

1

Meriaux, Céline, Julien Franck, Maxence Wisztorski, Michel Salzet, and Isabelle Fournier. "Liquid ionic matrixes for MALDI mass spectrometry imaging of lipids." Journal of Proteomics 73, no. 6 (April 2010): 1204–18. http://dx.doi.org/10.1016/j.jprot.2010.02.010.

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2

Chan, Kenneth, Patricia Lanthier, Xin Liu, Jagdeep K. Sandhu, Danica Stanimirovic, and Jianjun Li. "MALDI mass spectrometry imaging of gangliosides in mouse brain using ionic liquid matrix." Analytica Chimica Acta 639, no. 1-2 (April 2009): 57–61. http://dx.doi.org/10.1016/j.aca.2009.02.051.

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3

Metarapi, Dino, Johannes T. van Elteren, Martin Šala, Katarina Vogel-Mikuš, Iztok Arčon, Vid S. Šelih, Mitja Kolar, and Samo B. Hočevar. "Laser ablation-single-particle-inductively coupled plasma mass spectrometry as a multimodality bioimaging tool in nano-based omics." Environmental Science: Nano 8, no. 3 (2021): 647–56. http://dx.doi.org/10.1039/d0en01134g.

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4

Matsushita, Yasuyuki, In-Cheol Jang, Takanori Imai, Ruka Takama, Kaori Saito, Takashi Masumi, Seung-Cheol Lee, and Kazuhiko Fukushima. "Distribution of extracts including 4,8-dihydroxy-5-methoxy-2-naphthaldehyde in Diospyros kaki analyzed by gas chromatography-mass spectrometry and time-of-flight secondary ion mass spectrometry." Holzforschung 66, no. 6 (August 1, 2012): 705–9. http://dx.doi.org/10.1515/hf-2011-0214.

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Abstract The distribution of ethyl acetate extracts and 4,8-dihydroxy-5-methoxy-2-naphthaldehyde (compound I), which is a major constituent of the extracts obtained from the blackened heartwood of Diospyros kaki, was analyzed via gas chromatography-mass spectrometry (GC-MS) and time-of-flight secondary ion mass spectrometry (ToF-SIMS). According to GC-MS, the extracts and compound I are high in concentration at the pith and at the edges of the blackened heartwood. ToF-SIMS analysis revealed a peak at a mass-to-charge ratio of (m/z) 218, which is characteristic of the ionic form of compound I. The ToF-SIMS imaging of compound I in the blackened heartwood based on m/z 218 shows that compound I is located in parenchyma cells and their neighboring axial elements.

5

Xi, Ying, and David C. Muddiman. "Enhancing Metabolomic Coverage in Positive Ionization Mode Using Dicationic Reagents by Infrared Matrix-Assisted Laser Desorption Electrospray Ionization." Metabolites 11, no. 12 (November 29, 2021): 810. http://dx.doi.org/10.3390/metabo11120810.

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Mass spectrometry imaging is a powerful tool to analyze a large number of metabolites with their spatial coordinates collected throughout the sample. However, the significant differences in ionization efficiency pose a big challenge to metabolomic mass spectrometry imaging. To solve the challenge and obtain a complete data profile, researchers typically perform experiments in both positive and negative ionization modes, which is time-consuming. In this work, we evaluated the use of the dicationic reagent, 1,5-pentanediyl-bis(1-butylpyrrolidinium) difluoride (abbreviated to [C5(bpyr)2]F2) to detect a broad range of metabolites in the positive ionization mode by infrared matrix-assisted laser desorption electrospray ionization mass spectrometry imaging (IR-MALDESI MSI). [C5(bpyr)2]F2 at 10 µM was doped in 50% MeOH/H2O (v/v) electrospray solvent to form +1 charged adducted ions with anionic species (−1 charged) through post-electrospray ionization. This method was demonstrated with sectioned rat liver and hen ovary. A total of 73 deprotonated metabolites from rat liver tissue sections were successfully adducted with [C5(bpyr)2]2+ and putatively identified in the adducted positive ionization polarity, along with 164 positively charged metabolite ions commonly seen in positive ionization mode, which resulted in 44% increased molecular coverage. In addition, we were able to generate images of hen ovary sections showing their morphological features. Following-up tandem mass spectrometry (MS/MS) indicated that this dicationic reagent [C5(bpyr)2]2+ could form ionic bonds with the headgroup of glycerophospholipid ions. The addition of the dicationic reagent [C5(bpyr)2]2+ in the electrospray solvent provides a rapid and effective way to enhance the detection of metabolites in positive ionization mode.

6

Shen, Kan, Jay G. Tarolli, and Nicholas Winograd. "Cluster secondary ion mass spectrometry imaging of interfacial reactions of TiO2 microspheres embedded in ionic liquids." Rapid Communications in Mass Spectrometry 30, no. 3 (December 28, 2015): 379–85. http://dx.doi.org/10.1002/rcm.7447.

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7

Liu, Qiang, and Lin He. "Ionic matrix for matrix-enhanced surface-assisted laser desorption ionization mass spectrometry imaging (ME-SALDI-MSI)." Journal of the American Society for Mass Spectrometry 20, no. 12 (December 2009): 2229–37. http://dx.doi.org/10.1016/j.jasms.2009.08.011.

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8

Perez, Consuelo J., Alessandra Tata, Michel L. de Campos, Chun Peng, and Demian R. Ifa. "Monitoring Toxic Ionic Liquids in Zebrafish (Danio rerio) with Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI)." Journal of The American Society for Mass Spectrometry 28, no. 6 (October 24, 2016): 1136–48. http://dx.doi.org/10.1007/s13361-016-1515-9.

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9

Kriegel, Fabian L., Benjamin-Christoph Krause, Philipp Reichardt, Ajay Vikram Singh, Jutta Tentschert, Peter Laux, Harald Jungnickel, and Andreas Luch. "The Vitamin A and D Exposure of Cells Affects the Intracellular Uptake of Aluminum Nanomaterials and Its Agglomeration Behavior: A Chemo-Analytic Investigation." International Journal of Molecular Sciences 21, no. 4 (February 14, 2020): 1278. http://dx.doi.org/10.3390/ijms21041278.

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Aluminum (Al) is extensively used for the production of different consumer products, agents, as well as pharmaceuticals. Studies that demonstrate neurotoxicity and a possible link to Alzheimer’s disease trigger concern about potential health risks due to high Al intake. Al in cosmetic products raises the question whether a possible interaction between Al and retinol (vitamin A) and cholecalciferol (vitamin D3) metabolism might exist. Understanding the uptake mechanisms of ionic or elemental Al and Al nanomaterials (Al NMs) in combination with bioactive substances are important for the assessment of possible health risk associated. Therefore, we studied the uptake and distribution of Al oxide (Al2O3) and metallic Al0 NMs in the human keratinocyte cell line HaCaT. Possible alterations of the metabolic pattern upon application of the two Al species together with vitamin A or D3 were investigated. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging and inductively coupled plasma mass spectrometry (ICP-MS) were applied to quantify the cellular uptake of Al NMs.

10

Gabler, Christoph, Ernst Pittenauer, Nicole Dörr, and Günter Allmaier. "Imaging of a Tribolayer Formed from Ionic Liquids by Laser Desorption/Ionization-Reflectron Time-of-Flight Mass Spectrometry." Analytical Chemistry 84, no. 24 (December 6, 2012): 10708–14. http://dx.doi.org/10.1021/ac302503a.

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Більше джерел

Дисертації з теми "Ionic imaging by mass spectrometry":

1

Rowland, Tyson G. "Accurate ionic bond energy measurements with TCID mass spectrometry and imaging PEPICO spectroscopy." Scholarly Commons, 2012. https://scholarlycommons.pacific.edu/uop_etds/809.

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Two projects are presented here. In the first, metal-cyclopentadienyl bond dissociation energies (BDEs) were measured for seven metallocene ions (Cp2M+, Cp = η5-cyclopentadienyl = c-C5H5, M = Ti, V, Cr, Mn, Fe, Co, Ni) using threshold collision-induced dissociation (TCID) performed in a guided ion beam tandem mass spectrometer. For all seven room temperature metallocene ions, the dominant dissociation pathway was simple Cp loss from the metal. Traces of other fragment ions were also detected, such as C10H10+, C10H8+, C8H8+, C3H3+, H2M+, C3H3M+, C6H6M+, and C7H6M+, depending on the metal center. Statistical modeling of the Cp-loss TCID experimental data, including consideration of energy distributions, multiple collisions, and kinetic shifts, allow the extraction of 0 K [CpM+ - Cp] BDEs. These are found to be 4.95 ± 0.15, 4.02 ± 0.14, 4.22 ± 0.13, 3.51 ± 0.12, 4.26 ± 0.15, 4.57 ± 0.15, and 3.37 ± 0.12 eV for Cp2To+, Cp2V+, Cp2Cr+, Cp2Mn+, Cp2Fe+, Cp2Co+, and Cp2Ni+, respectively. The measured BDE trend is largely in line with arguments based on a simple molecular orbital picture, with the exceptions of a reversal in Cp2Mn+ and Cp2Ni+ BDEs (although within uncertainty), and the exceptional case of titanocene, most likely attributable to its bent structure. The new results presented here are compared to previous literature values and are found to provide a more complete and accurate set of thermochemical parameters. In the second project, imaging photoelectron photoion coincidence (iPEPICO) spectroscopy has been used to determine 0 K appearance energies for the unimolecular dissociation reactions of several energy selected 1-alkyl iodide cations n-CnH2n+1I+ → CnH2n+1+ + I, (n = 2-5). The 0 K appearance energies of the iodine-loss fragment ions were determined to be 9.836 ± 0.010, 9.752 ± 0.010, 9.721 ± 0.010, and 9.684 ± 0.010 eV for n-C3H7I, n-C4H9I, n-C5H11I, and n-C6H13I molecules, respectively. Isomerization of then-alkyl iodide structures into 2-iodo species adds complexity to this study. Using literature adiabatic ionization energies, ionic bond dissociation energies were calculated for the four modeled iodoalkyl cations and it was shown that as the alkyl chain length increases, the carbon-halogen bond strength decreases, supporting the suggestions set forth by inductive effects. In the modeling with statistical energy distributions and rate theory, the role of hindered rotors was also evaluated and no strong experimental evidence was found either way. The heaviest species in the series, heptyl iodide (C7H15I) was also measured via iPEPICO and showed to have a greater complexity of fragmentation than the lighter analogs. Sequential dissociation of the first fragment ion, C7H15+ leads to C4H9+, C5H11+, and C3H7+ ions in competitive dissociation processes, dominated at low energies by the C4H9+ cation.

2

Yuen, Wei Hao. "Ion imaging mass spectrometry." Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.564395.

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This work investigates the applicability of fast detectors to the technique of microscope-mode imaging mass spectrometry. By ionising analyte from a large area of the sample, and projecting the desorbed ions by the use of ion optics through a time-of-flight mass spectrometer onto a two- dimensional detector, time- (and hence mass-) dependent distributions of ions may be imaged. To date, this method of imaging mass spectrometry has been limited by the ability to image only one mass window of interest per experimental cycle, limiting throughput and processing speed. Thus, the alternative microprobe-mode imaging mass spectrometry is currently the dominant method of analysis, with its superior mass resolution. The application of fast detectors to microscope-mode imaging lifts the restriction of the detection of a single mass window per experimental cycle, potentially decreasing acquisition time by a factor of the number of mass peaks of interest. Additional advantages include the reduction of sample damage by laser ablation, and the potential identification of coincident eo-fragments of different masses originating from the same parent molecule. Theoretical calculations and simulations have been performed confirming the suitability of conventional time-of-flight velocity-mapped ion imaging apparatus for imaging mass spectrometry. Only small modifications to the repeller plate and laser beam path, together with the adjustment of the accelerating potential field, were required to convert the apparatus to a wide (7 mm diameter) field-of-view ion microscope. Factors affecting the mass and spatial resolution were investigated with these theoretical calculations, with theoretical calculations predicting a spatial resolution of about 26μm and m/m of 93. Typical experimental data collected from velocity-mapped ion imaging experiments were collected, and characterised in order to provide specifications for a novel time-stamping detector, the Pixel Imaging Mass Spectrometry detector. From these data, the suitability of thresholding and centroiding on the new detector was determined. Initial experiments using desorptionjionisation on silicon and conventional charge-coupled device cameras confirmed the correct spatial-mapping of the apparatus. Matrix-assisted laser desorptionjionisation techniques (MALDI) were used in experiments to determine the spatial and mass resolutions attainable with the apparatus. Experimental spatial resolutions of 14.4 μm and m/m of 60 were found. The better experimental spatial resolution indicates a higher di- rectionality of initial velocities from MALDI desorption than used in the theoretical predictions, while the poorer mass resolution could be attributed to limitations imposed by the use of the phosphor screen. Proof-of-concept experiments using fast-framing cameras and the new time-stamping detectors confirmed the feasibility of multiple mass acquisition in time-of-flight microscope mode ion imaging. Mass-dependent distributions were acquired of different pigment distributions in each experimental cycle. Finally, spatial-mapped images of coronal mouse brain sections were acquired using both conventional and fast detectors. The apparatus was demonstrated to provide accurate spatial distributions with a wide field-of-view, and multiple mass distributions were acquired with each experimental cycle using the new time-stamping detector.

3

Goodwin, Lee. "Capillary electrophoresis-mass spectrometry and tandem mass spectrometry studies of ionic agrochemicals." Thesis, University of York, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398906.

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4

Cobice, Diego Federico. "Mass spectrometry imaging of steroids." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/21032.

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Glucocorticoids are steroid hormones involved in the stress response, with a well-established role in promoting cardiovascular risk factors including obesity and diabetes. The focus of glucocorticoid research has shifted from understanding control of blood levels, to understanding the factors that control tissue steroid concentrations available for receptor activation; it is disruption of these tissue-specific factors that has emerged as underpinning pathophysiological mechanisms in cardiovascular risk, and revealed potential therapeutic targets. However, the field is hampered by the inability at present to measure concentrations of steroid within individual tissues and indeed within component cell types. This research project explores the potential for steroid measurements using mass spectrometry-based tissue imaging techniques combining matrix assisted laser desorption ionization with on-tissue derivatisation with Girard T and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (OTCD-MALDIFTICRMS). A mass spectrometry imaging (MSI) platform was developed and validated to quantify inert substrate and active product (11-dehydrocorticosterone (11DHC), corticosterone (CORT) respectively) of the glucocorticoid-amplifying enzyme 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) in rodent tissues. A novel approach to derivatising keto-steroids in tissue sections using Girard T reagent was developed and validated. Signals were boosted (10⁴ fold) by formation of GirT hydrazones compared to non-derivatised neutral steroids. Active and inert glucocorticoids were detected in a variety of tissues, including adrenal gland and brain; in the latter, highest abundance was found in the cortex and hippocampus. The MSI platform was also applied to human biopsies and murine tissues for the analysis of other ketosterols such as androgens and oxysterols. Proof-of-principle validation that the MSI platform could be used to quantify differences in enzyme activity was carried out by following in vivo manipulation of 11β-HSD1. Regional steroid distribution of both substrate and product were imaged at 150-200μm resolution in mouse brain sections, and the identification confirmed by collision induced dissociation/liquid extraction surface analysis (CID-LESA). To validate the technique, the CORT/11DHC ratios (active/inert) were determined in 11β- HSD1 deficient mice and found to be reduced (KO vs WT; cortex (49 %*); hippocampus (46 %*); amygdala (57 %)). Following pharmacological inhibition by administration of UE2316, drug levels peaked at 1 h in tissue and at this time point, a reduction in CORT/11DHC ratios were also determined, although to a lesser degree than in KO mice, cortex (22%), hippocampus (25 %) and amygdala (33 %). The changes in ratios appeared driven by accumulation of DHC, the enzyme substrate. In brains of mice with 11β-HSD1 deficiency or inhibition, decreases in sub-regional CORT/11DHC ratio were quantified, as well as accumulation of an alternative 11β- HSD1 substrate, 7-ketocholesterol. MSI data correlated well with the standard liquid chromatography tandem mass spectrometry (LC-MS/MS) in whole brain homogenates. Subsequently, the MSI platform was also applied to measure the dynamic turnover of glucocorticoids by 11β-HSD1 in metabolic tissues using stable isotope tracers (Cortisol-D4 (9,11,12,12-D4) (D4F). D4F was detected in plasma, liver and brain after 6 h infusion and after 48 h in adipose. D3F generation was detected at 6 h in plasma and liver; at 24 h in brain specifically in cortex, hippocampus and amygdala; and at 48 h in adipose. The spatial distribution of d3F generation in brain by MSI closely matched enzyme localisation. In liver, an 11β-HSD1-riched tissue, substantial generation of d3F was detected, with a difference in d4F/d3F ratios compared with plasma (ᴧTTRᴧ 0.18± 0.03 (6 h), 0.27± 0.05 (24 h) and 0.38±0.04 (48 h)). A smaller difference in TTR was also detected between plasma and brain (ᴧTTR 0.09 ± 0.03 (24 h), 0.13±0.04 (48 h)), with no detectable regeneration in adipose. After genetic disruption of 11β-HSD1, d3F generation was not detected in plasma or any tissues, suggesting that 11β-HSD1 is the only enzyme carrying out this reaction. After pharmacological inhibition, a similar pattern was seen. The circulating concentration of drug peaked at 2 h and declined towards 4 h, with same pattern in liver and brain. The ᴧTTR ratios 2HPD between plasma and liver (0.27±0.08vs. 0.45± 0.04) and brain (0.11±0.2 vs. 0.19± 0.04) were smaller following drug administration than vehicle, indicating less d3F generation. Extent of enzyme inhibition in liver responded quickly to the declining drug, with ᴧTTR returning to normal by 4 h (0.38± 0.06). ᴧTTR had not normalised 4HPD in brain (0.12±0.02, suggesting buffering of this pool. In adipose, UE2316 was not detected and nor were rates of d3F altered by the drug. Two possible phase I CYP450 metabolites were identified in the brain differing in spatial distribution. In conclusion, MSI with on-tissue derivatisation is a powerful new tool to study the regional variation in abundance of steroids within tissues. We have demonstrated that keto-steroids can be studied by MALDI-MSI by using the chemical derivatisation method developed here and exemplified its utility for measuring pharmacodynamic effects of small molecule inhibitors of 11β-HSD1. This approach offers the prospect of many novel insights into tissue-specific steroid and sterol biology.

5

Palmer, Andrew D. "Information processing for mass spectrometry imaging." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/5472/.

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Mass Spectrometry Imaging (MSI) is a sensitive analytical tool for detecting and spatially localising thousands of ions generated across intact tissue samples. The datasets produced by MSI are large both in the number of measurements collected and the total data volume, which effectively prohibits manual analysis and interpretation. However, these datasets can provide insights into tissue composition and variation, and can help identify markers of health and disease, so the development of computational methods are required to aid their interpretation. To address the challenges of high dimensional data, randomised methods were explored for making data analysis tractable and were found to provide a powerful set of tools for applying automated analysis to MSI datasets. Random projections provided over 90% dimensionality reduction of MALDI MSI datasets, making them amenable to visualisation by image segmentation. Randomised basis construction was investigated for dimensionality reduction and data compression. Automated data analysis was developed that could be applied data compressed to 1% of its original size, including segmentation and factorisation, providing a direct route to the analysis and interpretation of MSI datasets. Evaluation of these methods alongside established dimensionality reduction pipelines on simulated and real-world datasets showed they could reproducibly extract the chemo-spatial patterns present.

6

Stryffeler, Rachel Bennett. "New analytical approaches for mass spectrometry imaging." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54892.

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Chemical imaging by mass spectrometry is a powerful approach by which to map spatial distributions of molecules to better understand their function in the system of interest. Over the last thirty years, MSI has evolved into a very powerful analytical tool for the investigation of chemically-complex samples including biological tissues, catalytic surfaces and thin layer chromatography plates, among many others. The work in this dissertation aimed to characterize existing MSI methods, while also developing novel instrumentation able to overcome the challenges found in a variety of applications. Different sample preparation and ionization techniques were evaluated to maximize detection of lipid species in brain tissues subjected to traumatic injury to better understand the biological processes involved. Next, differential mobility separation was coupled to an ambient MSI system that resulted in increased signal-to-noise ratios and image contrast. Third, bulky catalytic granite surfaces were imaged to determine specific mineral reactivity and demonstrate the ability of desorption electrospray ionization to image such samples. Fourth, a novel technique was developed names Robotic Plasma Probe Ionization (RoPPI), which uses a vision system-guided robotic arm to probe irregular surfaces for three dimensional surface imaging. Finally, a software program was developed to automatically screen MSI datasets acquired from thin layer chromatography separations for spot-like shapes corresponding to mixture components; this program was named DetectTLC. This research resulted in instrumentation advances for MSI that have enabled increased chemical diversity, enhanced sensitivity and image contrast, imaging of bulky or irregularly-shaped surfaces, and multivariate tools to facilitate data interpretation.

7

Jung, Seokwon. "Surface characterization of biomass by imaging mass spectrometry." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45906.

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Lignocellulosic biomass (e.g., non food-based agricultural resides and forestry wastes) has recently been promoted for use as a source of bioethanol instead of food-based materials (e.g., corn and sugar cane), however to fully realize these benefits an improved understanding of lignocellulosic recalcitrance must be developed. The primary goal of this thesis is to gain fundamental knowledge about the surface of the plant cell wall, which is to be integrated into understanding biomass recalcitrance. Imaging mass spectrometry by TOF-SIMS and MALDI-IMS is applied to understand detailed spatial and lateral changes of major components in the surface of biomass under submicron scale. Using TOF-SIMS analysis, we have demonstrated a dilute acid pretreated poplar stem represented chemical differences between surface and bulk compositions. Especially, abundance of xylan was observed on the surface while sugar profile data showed most xylan (ca. 90%) removed from the bulk composition. Water only flowthrough pretreated poplar also represented difference chemistry between surface and bulk, which more cellulose revealed on the surface compared to bulk composition. In order to gain the spatial chemical distribution of biomass, 3-dimensional (3D) analysis of biomass using TOF-SIMS has been firstly introduced in the specific application of understanding recalcitrance. MALDI-IMS was also applied to visualize different molecular weight (e.g., DP) of cellulose oligomers on the surface of biomass.

8

Henderson, Fiona. "Mass spectrometry imaging of lipid profiles in disease." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/mass-spectrometry-imaging-of-lipid-profiles-in-disease(f1b202b1-2a6e-416e-ab81-321ef4f0e24d).html.

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It is well established that lipids play an important role in diseases such as non-alcoholic fatty liver disease and cardiovascular diseases. However, in the past decade, it has come to light that lipids may be important in other diseases; particularly in cancer and neurological disorders. Here, lipid metabolism has been investigated using pre-clinical cancer models for melanoma, glioma, non-small-cell lung cancer and colorectal cancer. The role of lipids in the recovery post-stroke has also been studied. Mass spectrometry imaging offers an ideal tool to study lipids in tissue ex-vivo. Lipids ionise well in a number of mass spectrometry modalities, and hundreds of lipids can be imaged in one mass spectrometry imaging experiment. Furthermore, mass spectrometry imaging offers excellent spatial resolution. In this work, both MALDI-MS and DESI-MS have been used for mass spectrometry imaging. Tumour lipid heterogeneity has been a particular focus of this this project. Heterogeneity exists within tumours, as well as between tumours in the same patient; and this causes major problems for therapy. Owing to the untargeted nature, and high spatial resolution of mass spectrometry imaging, it is an excellent technique to study lipid heterogeneity. Adjacent sections (or in some cases the same section used for mass spectrometry imaging), were used for immunofluorescence and H&E staining. By comparing mass spectrometry images with staining techniques, biological reasons for lipid heterogeneity can be established. Here, a particular focus has been on hypoxia (low oxygen tensions), which is a key contributor to tumour heterogeneity, and is associated with aggressive cancers. Additionally, hypoxia is a feature of ischaemic stroke, and lipids in ischaemic stroke have also been investigated. PET is a non-invasive imaging technique which is able to image a radiolabelled molecule (tracer) in the body. Here, PET has been used as a complementary in-vivo technique to mass spectrometry imaging. The tracers [11C] acetate and [18F]-FTHA have been used to image fatty acid synthase and fatty acid uptake in tumours; both of which are hypothesised to be key in cancer progression. REIMS is a newly established mass spectrometry technique. It is ideal for analysing lipids in cells, as sample preparation is minimal. Here, approaches for cell pellet analysis have been tested, and used to detect lipids in cancer cell lines.

9

Guo, Ang. "Improving the performance of microscope mass spectrometry imaging." Thesis, University of Oxford, 2018. http://ora.ox.ac.uk/objects/uuid:aa94a7f6-00ee-4b56-ba65-f6946799d5f2.

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Mass spectrometry imaging (MSI) is a powerful tool that provides mass-specific surface images with micron or sub-micron spatial resolutions. In a microscope MSI experiment, large sample surfaces are illuminated with a defocused laser or primary ion beam, enabling all surface molecules to be desorbed and ionised simultaneously before being electrostatically projected onto a position-sensitive imaging detector at the end of a time-of-flight mass analyser. Traditionally only the image of one mass-to-charge ratio can be obtained in a single acquisition, which limits its applicability. However, the development of event-triggered sensors, such as CMOS-based cameras, revives the microscope MSI method by allowing multi-mass imaging. Therefore, the challenges facing microscope have MSI shifted to improving its mass resolution, effective mass range, and mass accuracy. This thesis proposes effective solutions to each of them, and thus significantly improves the performance and applicability of microscope MSI. To increase the mass range, two modified post-extraction differential acceleration (PEDA) techniques, double-field PEDA and time-variable PEDA, were used to demonstrate mass-resolved stigmatic imaging over a broad m/z range. In double-field PEDA, a potential energy cusp was introduced into the ion acceleration region of an imaging mass spectrometer, creating two m/z foci that were tuned to overlap at the detector plane. This resulted in two focused m/z distributions that stretched the mass-resolved window with m/Îm >= 1000 to 165 Da without any loss in image quality; a range that doubled the 65 Da achieved under similar conditions using the original PEDA technique. In time-variable PEDA, a dynamic pulsed electric field was used to maximize the effective mass range of PEDA. By simultaneously focusing ions between 300 to 700 m/z using an exponentially rising voltage pulse, time-variable PEDA provides an effective mass range more than six times wider than the original PEDA method. Although reflectrons are widely used to improve the mass resolving power of ToF-MS, incorporating them in a microscope MSI instrument is novel. A reflectron MSI instrument was designed and implemented. Simulations demonstrated that one-stage gridless reflectrons were more compatible with the spatial imaging goal of the microscope MSI instrument than the gridded reflectrons. Preliminary experimental results showed that coupling the gridless reflectron with single-field PEDA achieved a mass resolution above 8,000 m/Îm while keeping a spatial resolution of 20 um. In conclusion, the gridless reflectron was able to triple the mass resolving power without losing any spatial imaging power. The poor mass accuracy hurdle was overcome by machine learning algorithms, which can construct clinical diagnostic models that recognise the peak pattern of biological mass spectra and classify them accurately without knowing the actual mass of each peak. After a proof of concept "experiment", where the mass spectra of dye molecules were classified by various learning algorithms, three pairs of datasets (ovarian cancer, prostate cancer, chronic fatigue and their respective controls) were used to build classifiers that accurately distinguish blood samples from controls. Possible biomarkers were also discovered by evaluating the importance of each m/z feature, which may assist further studies.

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Nakata, Yoshihiko. "Imaging Mass Spectrometry with MeV Heavy Ion Beams." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/124537.

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Книги з теми "Ionic imaging by mass spectrometry":

1

Cole, Laura M., ed. Imaging Mass Spectrometry. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7051-3.

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Rubakhin, Stanislav S., and Jonathan V. Sweedler, eds. Mass Spectrometry Imaging. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-746-4.

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Setou, Mitsutoshi, ed. Imaging Mass Spectrometry. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8.

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Cole, Laura M., and Malcolm R. Clench, eds. Imaging Mass Spectrometry. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3319-9.

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Porta Siegel, Tiffany, ed. MALDI Mass Spectrometry Imaging. Cambridge: Royal Society of Chemistry, 2021. http://dx.doi.org/10.1039/9781839165191.

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Setou, Mitsutoshi. Imaging mass spectrometry: Protocols for mass microscopy. Tokyo: Springer, 2010.

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Sweedler, Jonathan V., and Stanislav S. Rubakhin. Mass spectrometry imaging: Principles and protocols. New York: Humana Press, 2010.

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8

Lee, Young-Jin, ed. Mass Spectrometry Imaging of Small Molecules. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2030-4.

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9

He, Lin, ed. Mass Spectrometry Imaging of Small Molecules. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-1357-2.

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Lin, He. Mass spectrometry imaging of small molecules. New York: Humana Press, 2014.

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Частини книг з теми "Ionic imaging by mass spectrometry":

1

Szynkowska, Małgorzata Iwona. "Imaging of Small Molecules." In Mass Spectrometry, 275–85. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2008. http://dx.doi.org/10.1002/9780470395813.ch13.

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2

Morgan, Michael M., MacDonald J. Christie, Thomas Steckler, Ben J. Harrison, Christos Pantelis, Christof Baltes, Thomas Mueggler, et al. "Mass Spectrometry Imaging." In Encyclopedia of Psychopharmacology, 750. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_4342.

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3

Carroll, Marilyn E., Peter A. Santi, Joseph Zohar, Thomas R. E. Barnes, Peter Verheart, Per Svenningsson, Per E. Andrén, et al. "Imaging Mass Spectrometry." In Encyclopedia of Psychopharmacology, 617. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1552.

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Reyzer, Michelle L., and Richard M. Caprioli. "Imaging Mass Spectrometry." In NATO Science for Peace and Security Series A: Chemistry and Biology, 267–83. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9815-3_17.

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Setou, Mitsutoshi. "IMS as an Historical Innovation." In Imaging Mass Spectrometry, 3–7. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_1.

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Sugiura, Yuki, and Mitsutoshi Setou. "Statistical Procedure for IMS Data Analysis." In Imaging Mass Spectrometry, 127–42. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_10.

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Zaima, Nobuhiro, and Mitsutoshi Setou. "Statistical Analysis of IMS Dataset with ClinproTool Software." In Imaging Mass Spectrometry, 143–55. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_11.

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Yang, Hyun Jeong, Yuki Sugiura, Koji Ikegami, and Mitsutoshi Setou. "Imaging of Cultured Cells by Mass Spectrometry." In Imaging Mass Spectrometry, 159–68. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_12.

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Goto-Inoue, Naoko, Takao Taki, and Mitsutoshi Setou. "TLC-Blot-MALDI-IMS." In Imaging Mass Spectrometry, 169–77. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_13.

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Kokaji, Tetsuo. "Applied Biosystems." In Imaging Mass Spectrometry, 181–98. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_14.

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Тези доповідей конференцій з теми "Ionic imaging by mass spectrometry":

1

Muir, E. R., I. J. Ndiour, N. A. Le Goasduff, R. A. Moffitt, Y. Liu, M. C. Sullards, A. H. Merrill, Y. Chen, and M. D. Wang. "Multivariate Analysis of Imaging Mass Spectrometry Data." In 7th IEEE International Conference on Bioinformatics and Bioengineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375603.

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2

Coello, Yves, A. Daniel Jones, Tissa C. Gunaratne, and Marcos Dantus. "Atmospheric Pressure Femtosecond Laser Imaging Mass Spectrometry." In Laser Applications to Chemical, Security and Environmental Analysis. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/lacsea.2010.ltua2.

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Coello, Yves, A. Daniel Jones, Tissa C. Gunaratne, and Marcos Dantus. "Atmospheric Pressure Femtosecond Laser Imaging Mass Spectrometry." In International Conference on Ultrafast Phenomena. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/up.2010.wc5.

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Coello, Yves, Tissa C. Gunaratne, and Marcos Dantus. "Atmospheric pressure femtosecond laser imaging mass spectrometry." In SPIE BiOS: Biomedical Optics, edited by Daniel L. Farkas, Dan V. Nicolau, and Robert C. Leif. SPIE, 2009. http://dx.doi.org/10.1117/12.808252.

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Sarycheva, Anastasia, Anton Grigoryev, Evgeny N. Nikolaev, and Yury Kostyukevich. "Robust Simulation Of Imaging Mass Spectrometry Data." In 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0192.

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Анотація:

Mass spectrometry imaging (MSI) with high resolution in mass and space is an analytical method that produces distributions of ions on a sample surface. The algorithms for preprocessing and analysis of the raw data acquired from a mass spectrometer should be evaluated. To do that, the ion composition at every point of the sample should be known. This is possible via the employment of a simulated MSI dataset. In this work, we suggest a pipeline for a robust simulation of MSI datasets that resemble real data with an option to simulate the spectra acquired from any mass spectrometry instrument through the use of the experimental MSI datasets to extract simulation parameters.

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Coello, Yves, Tissa C. Gunaratne, and Marcos Dantus. "Atmospheric Pressure Femtosecond Laser Imaging Mass Spectrometry." In Conference on Lasers and Electro-Optics. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/cleo.2009.jwa47.

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Samsi, S. S., A. K. Krishnamurthy, M. Reid Groseclose, R. M. Caprioli, G. Lozanski, and M. N. Gurcan. "Imaging mass spectrometry analysis for follicular lymphoma grading." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333850.

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Reents, W. D., M. L. Mandich, and Vladimir E. Bondybey. "Chemistry of size-selected silicon clusters as studied by Fourier transform mass spectrometry." In International Laser Science Conference. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.jfc4.

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Direct laser vaporization of materials provides a simple method to form small ionic silicon clusters. These clusters may be kept in the ion trap of a Fourier transform mass spectrometer (FTMS) for up to several seconds. The capabilities of the FTMS are then used to determine bimolecular rate constants, identify reaction products, and evaluate product distributions of the ionic silicon clusters.

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Reents, W. D., M. L. Mandich, and Vladimir E. Bondybey. "Chemistry of size-selected silicon clusters as studied by Fourier transform mass spectrometry." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.fc4.

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Анотація:

Direct laser vaporization of materials provides a simple method to form small ionic silicon clusters. These clusters may be kept in the ion trap of a Fourier transform mass spectrometer (FTMS) for up to several seconds. The capabilities of the FTMS are then used to determine bimolecular rate constants, identify reaction products, and evaluate product distributions of the ionic silicon clusters.

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Kung, C. Y., Richard A. Kennedy, David A. Dolson, and Terry A. Miller. "Spectroscopy of ionic clusters." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.thb3.

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Ions can be created in seeded supersonic free jets by crossing the expansion with a high-energy short-wavelength laser. Examples include non-resonant ionization of aromatic molecules by excimer lasers and resonantly enhanced multiphoton ionization of small molecules by a tunable dye laser. If the ions are created sufficiently close to the nozzle, they are clustered by neutral atoms and molecules. Ionic clusters have been studied by laser-induced fluorescence and time-of-flight mass spectrometry.

Звіти організацій з теми "Ionic imaging by mass spectrometry":

1

Moore, Jerome, and Andrew Moore. Ion Mobility – Mass Spectrometry Rapid Imaging of Special Nuclear Materials. Office of Scientific and Technical Information (OSTI), August 2023. http://dx.doi.org/10.2172/1995985.

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Feenstra, Adam D. Technological Development of High-Performance MALDI Mass Spectrometry Imaging for the Study of Metabolic Biology. Office of Scientific and Technical Information (OSTI), December 2016. http://dx.doi.org/10.2172/1409181.

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Korte, Andrew R. Development of matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) for plant metabolite analysis. Office of Scientific and Technical Information (OSTI), December 2014. http://dx.doi.org/10.2172/1226566.

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McVey, Patrick. Direct analysis of solid samples by electrospray laser desorption ionization mass spectrometry imaging: From plants to pharmaceuticals. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1505182.

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Maharrey, Sean P., Aaron M. Highley, Richard, Jr Behrens, and Deneille Wiese-Smith. Final LDRD report : development of sample preparation methods for ChIPMA-based imaging mass spectrometry of tissue samples. Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/966248.

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Cha, Sangwon. Laser desorption/ionization mass spectrometry for direct profiling and imaging of small molecules from raw biological materials. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/976267.

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Yagnik, Gargey B. Nanoparticle-assisted laser desorption/ionization mass spectrometry: Novel sample preparation methods and nanoparticle screening for plant metabolite imaging. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1342543.

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Weber, P., and J. Pett-Ridge. Performance Metric Q4: Report on the use of imaging and mass spectrometry-based capabilities to describe microbiome interactions. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1823697.

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Cooke, E., M. Hayes, M. Romanchikova, A. Dexter, R. Steven, S. Thomas, M. Shaw, et al. Acquisition & management of high content screening, light-sheet microscopy and mass spectrometry imaging data at AstraZeneca, GlaxoSmithKline and NPL. National Physical Laboratory, September 2020. http://dx.doi.org/10.47120/npl.mn25.

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Cooke, E., M. Hayes, M. Romanchikova, A. Dexter, R. Steven, S. Thomas, M. Shaw, et al. Acquisition & management of high content screening, light-sheet microscopy and mass spectrometry imaging data at AstraZeneca, GlaxoSmithKline and NPL. National Physical Laboratory, September 2020. http://dx.doi.org/10.47120/npl.ms25.

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