Novel matrix strategies for improved ionization and spatial resolution using IR‐MALDESI mass spectrometry imaging

Kibbe, Russell R; Mellinger, Allyson L.; Muddiman, David C.

doi:10.1002/jms.4875

Cited by 8 publications

(13 citation statements)

References 30 publications

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“…The inability to apply an ice matrix in tm motivated the attempt of an alternative glycerol matrix, which was previously shown to be advantageous in rm‐IR‐MALDESI at a 50% concentration (v/v) 10 . Figure 4A shows the order of the glass slide, glycerol matrix, and sample in tm‐IR‐MALDESI.…”

Section: Resultsmentioning

confidence: 99%

“…Because the laser was fired through a transparent substrate to the back of the sample, the energy‐absorbing matrix was placed in between the slide and the tissue to maximize IR absorption and thus facilitate sample ablation. This order is directly inverse to that of rm‐IR‐MALDESI 10 …”

Section: Methodsmentioning

confidence: 99%

“…This order is directly inverse to that of rm-IR-MALDESI. 10 The electrospray solvent comprised an acetonitrile-water (60:40, v/v) solution modified with an additional 0.2% formic acid. 16 The flow rate of the electrospray solvent was maintained at either 1.5 or 2 μL/min across two experiment days.…”

Section: Transmission Mode Infrared Matrix-assisted Laser Desorption ...mentioning

confidence: 99%

“…The lack of the ability to produce an ice matrix suggests the possible need for an alternative energy‐absorbing matrix. Our recent work has found that glycerol is an effective energy‐absorbing matrix relative to the standard ice matrix and produces improved spatial resolution, with no significant change in ion abundance in rm 10 . Therefore, glycerol was used in this work in the tm setup.…”

Section: Introductionmentioning

confidence: 99%

“…Our recent work has found that glycerol is an effective energy-absorbing matrix relative to the standard ice matrix and produces improved spatial resolution, with no significant change in ion abundance in rm. 10 Laser alignment paper was purchased from ZAP-IT (Concord, NH, USA).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Developing transmission mode for infrared matrix‐assisted laser desorption electrospray ionization mass spectrometry imaging

Joignant

Bai

Guymon

et al. 2022

Rapid Comm Mass Spectrometry

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Rationale The development and characterization of the novel NextGen infrared matrix‐assisted laser desorption electrospray ionization (IR‐MALDESI) source catalyzed new advancements in IR‐MALDESI instrumentation, including the development of a new analysis geometry. Methods A vertically oriented transmission mode (tm)‐IR‐MALDESI setup was developed and optimized on thawed mouse tissue. In addition, glycerol was introduced as an alternative energy‐absorbing matrix for tm‐IR‐MALDESI because the new geometry does not currently allow for the formation of an ice matrix. The tm geom was evaluated against the optimized standard geometry for the NextGen source in reflection mode (rm). Results It was found that tm‐IR‐MALDESI produces comparable results to rm‐IR‐MALDESI after optimization. The attempt to incorporate glycerol as an alternative matrix provided little improvement to tm‐IR‐MALDESI ion abundances. Conclusions This work has successfully demonstrated the adaptation of the NextGen IR‐MALDESI source through the feasibility of tm‐IR‐MALDESI mass spectrometry imaging on mammalian tissue, expanding future biological applications of the method.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Transmission Mode Infrared Matrix-assisted Laser Desorption ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Developing transmission mode for infrared matrix‐assisted laser desorption electrospray ionization mass spectrometry imaging

Joignant

Bai

Guymon

et al. 2022

Rapid Comm Mass Spectrometry

Self Cite

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Novel matrix strategies for improved ionization and spatial resolution using IR‐MALDESI mass spectrometry imaging

Kibbe¹,

Mellinger²,

Muddiman

2022

J Mass Spectrom

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In mass spectrometry imaging (MSI) applications of infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI), an exogenous ice layer is the gold standard for an energy-absorbing matrix. However, the formation of the ice matrix requires additional time and instrument hardware, so glycerol was investigated herein as an alternative to the ice matrix to potentially improve spatial resolution and ionization, while decreasing experiment time. Glycerol solutions of varying concentrations were sprayed over top of rat liver tissue sections for analysis by IR-MALDESI and compared to the typical ice matrix condition. Additionally, we tested if combining the ice matrix and glycerol matrix would further improve analyses. Matrix conditions were evaluated by comparing ion abundance of six lipid species, the laser ablation spot diameter, and number of METASPACE annotations. The ion abundances were also normalized to the volume of tissue ablated to correct for lower abundance values due to less ablated tissue. It was observed that utilizing a 50% glycerol matrix without ice provides improved spatial resolution with lipid abundances and annotations comparable to the ice matrix standard, while decreasing the time required to complete an IR-MALDESI tissue imaging experiment.

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SMART: A data reporting standard for mass spectrometry imaging

Sohn

Joignant

et al. 2023

J Mass Spectrom

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Mass spectrometry imaging (MSI) is an important analytical technique that simultaneously reports the spatial location and abundance of detected ions in biological, chemical, clinical, and pharmaceutical studies. As MSI grows in popularity, it has become evident that data reporting varies among different research groups and between techniques. The lack of consistency in data reporting inherently creates additional challenges in comparing intra‐ and inter‐laboratory MSI data. In this tutorial, we propose a unified data reporting system, SMART, based on the common features shared between techniques. While there are limitations to any reporting system, SMART was decided upon after significant discussion to more easily understand and benchmark MSI data. SMART is not intended to be comprehensive but rather capture essential baseline information for a given MSI study; this could be within a study (e.g., effect of spot size on the measured ion signals) or between two studies (e.g., different MSI platform technologies applied to the same tissue type). This tutorial does not attempt to address the confidence with which annotations are made nor does it deny the importance of other parameters that are not included in the current SMART format. Ultimately, the goal of this tutorial is to discuss the necessity of establishing a uniform reporting system to communicate MSI data in publications and presentations in a simple format to readily interpret the parameters and baseline outcomes of the data.

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Novel matrix strategies for improved ionization and spatial resolution using IR‐MALDESI mass spectrometry imaging

Cited by 8 publications

References 30 publications

Developing transmission mode for infrared matrix‐assisted laser desorption electrospray ionization mass spectrometry imaging

Developing transmission mode for infrared matrix‐assisted laser desorption electrospray ionization mass spectrometry imaging

Novel matrix strategies for improved ionization and spatial resolution using IR‐MALDESI mass spectrometry imaging

SMART: A data reporting standard for mass spectrometry imaging

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