MALDI-MS imaging of lipids and small molecules in rat brain tissue based on graphene oxide film pre-coated matrix

Yang, Xu; Deng, Ying-Zhi; Ye, Rongrong; Gong, Chao; Liu, Zhaoxin; Zhao, Yue-Zhen; Lu, Yan; Liu, Jinggen; Xu, Xu

doi:10.1016/j.ijms.2021.116573

Cited by 10 publications

(6 citation statements)

References 52 publications

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“…Figure S2 shows the average mass spectra of the metabolites (mass range m / z 100–1000) in the five matrix deposition modes. As the positive-ion MSI of the metabolites is complicated by the formation of different adduct ions, such as Na + , K + and other matrix-related adduct ions, which will decrease the spectral sensitivity and complicate the spectral information. , This experiment was performed in negative-ion mode in order to demonstrate the performance of the device. More than 40 peaks were detected in Synch-SS mode.…”

Section: Results and Discussionmentioning

confidence: 99%

A Matrix Sublimation Device with an Integrated Solvent Nebulizer for MALDI-MSI

et al. 2021

J. Am. Soc. Mass Spectrom.

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The current matrix deposition methods in MALDI-mass spectrometry imaging (MALDI-MSI) face technical problems related to the inhomogeneous distribution of crystals and the low analyte extraction and cocrystallization efficiency. In this work, an integrated matrix sublimation device with synchronous solvent nebulization was developed for MALDI-MSI. Droplets of solvents were directly introduced into the chamber of the sublimator by using a miniaturized ultrasonic nebulizer unit. The synchronous and asynchronous working modes of solvent nebulization and matrix sublimation were systematically investigated. Imaging of both protein and small metabolite distributions in mouse brain tissue sections was successfully performed using the developed matrix deposition device. The sensitivity and quality of the images were clearly improved in synchronous mode compared with those of the conventional spray and sublimation methods. These results demonstrate that the integrated device with both solvent nebulization and matrix sublimation is a useful tool in MALDI-MSI applications.

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Section: Results and Discussionmentioning

confidence: 99%

A Matrix Sublimation Device with an Integrated Solvent Nebulizer for MALDI-MSI

et al. 2021

J. Am. Soc. Mass Spectrom.

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“…As alternatives to traditional matrixes, researchers have proposed metal/metal oxide-based ( Sakurai et al., 2018 ; Sagandykova et al., 2022 ), carbon-based ( Xu et al., 2021 ), and silicon-based ( Dou et al., 2022 ) matrixes. Metal particles with nanoscale diameters are of interest due to their unique plasmon absorption in the visible region, in which gold nanoparticles (Au NP) and silver nanoparticles (Ag NP) are the often utilized metal matrixes.…”

Section: Introductionmentioning

confidence: 99%

Prefabricated platinum nanomaterial matrix for MALDI-MS imaging of oligosaccharides and lipids in plant tissues

et al. 2023

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Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) can visualize the spatial distribution characteristics of molecules in tissues in situ, in which the matrix plays a key role. In this paper, we propose a platinum nanomaterial pre-coated matrix, which can be prepared in bulk by sputtering platinum nanoparticles onto slides using an ion sputterer and then used for MALDI-MS analysis by placing tissue sections on the matrix. We used this matrix for MALDI-MS imaging analysis of corn kernels and germinated wheat sections, and the results show that triacylglycerides were mainly distributed in the embryo of corn kernels and germinated wheat, and sugars were mainly distributed in the endosperm, with the highest content of disaccharides.It provides a simple and reliable experimental condition for analyzing the distribution of oligosaccharide and lipid components in plant tissues.

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“…Recent studies have proven that interaction between lasers and nanostructures enables a rapid and sharp increase of the surface temperature, promoting analytes desorption and ionization of the analyte. , Until now, various nanostructured carbon materials ( e . g ., graphene, , multiwalled carbon nanotubes-MWCNT), metal ( e . g ., Au, − Pt) materials, and silicon materials (porous silicon, silicon nanopost arrays , ) have been employed as substrates for laser desorption ionization mass spectrometry imaging (LDI-MSI) to visualize molecular distribution in tissue samples.…”

Section: Introductionmentioning

confidence: 99%

Tissue Imprinting on 2D Nanoflakes-Capped Silicon Nanowires for Lipidomic Mass Spectrometry Imaging and Cancer Diagnosis

et al. 2022

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Spatially resolved tissue lipidomics is essential for accurate intraoperative and postoperative cancer diagnosis by revealing molecular information in the tumor microenvironment. Matrix-free laser desorption ionization mass spectrometry imaging (LDI-MSI) is an emerging attractive technology for label-free visualization of metabolites distributions in biological specimens. However, the development of LDI-MSI technology that could conveniently and authentically reveal molecular distribution on tissue samples is still a challenge. Herein, we present a tissue imprinting technology by retaining tissue lipids on 2D nanoflakes-capped silicon nanowires (SiNWs) for further mass spectrometry imaging and cancer diagnosis. The 2D nanoflakes were prepared by liquid exfoliation of molybdenum disulfide (MoS2) with nitrogen-doped graphene quantum dots (NGQDs), which serve as both intercalation agent and dispersant. The obtained NGQD@MoS2 nanoflakes were then decorated on the tip of vertical SiNWs, forming a hybrid NGQD@MoS2/SiNWs nanostructure, which display excellent lipid extraction ability, enhanced LDI efficiency and molecule imaging capability. The peak number and total ion intensity of different lipids species on animal lung tissues obtained by tissue imprinting LDI-MSI on NGQD@MoS2/SiNWs were ∼4–5 times greater than those on SiNWs substrate. As a proof-of-concept demonstration, the NGQD@MoS2/SiNWs nanostructure was further applied to visualize phospholipids on sliced non small cell lung cancer (NSCLC) tissue along with the adjacent normal tissue. On the basis of selected feature lipids and machine learning algorithm, a prediction model was constructed to discriminate NSCLC tissues from the adjacent normal tissues with an accuracy of 100% for the discovery cohort and 91.7% for the independent validation cohort.

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MALDI-MS imaging of lipids and small molecules in rat brain tissue based on graphene oxide film pre-coated matrix

Cited by 10 publications

References 52 publications

A Matrix Sublimation Device with an Integrated Solvent Nebulizer for MALDI-MSI

A Matrix Sublimation Device with an Integrated Solvent Nebulizer for MALDI-MSI

Prefabricated platinum nanomaterial matrix for MALDI-MS imaging of oligosaccharides and lipids in plant tissues

Tissue Imprinting on 2D Nanoflakes-Capped Silicon Nanowires for Lipidomic Mass Spectrometry Imaging and Cancer Diagnosis

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