ArticleJournal of the American Society for Mass Spectrometry2019
Sputter-Coated Metal Screening for Small Molecule Analysis and High-Spatial Resolution Imaging in Laser Desorption Ionization Mass Spectrometry.
Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 40 citations in OpenAlex.
- Mass spectrometry imaging ofFrontiers in plant science · 2024Article
- Silver Nanoparticle Targets Fabricated Using Chemical Vapor Deposition Method for Differentiation of Bacteria Based on Lipidomic Profiles in Laser Desorption/Ionization Mass Spectrometry.Antibiotics (Basel, Switzerland) · 2023Article
- Surface-assisted laser desorption/ionization mass spectrometry imaging: A review.Mass spectrometry reviews · 2022Review
- Enhancing Metabolite Coverage for Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Through Multiple On-Tissue Chemical Derivatizations.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Metal-Assisted Laser Desorption Ionization Imaging Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Expanding Molecular Coverage in Mass Spectrometry Imaging of Microbial Systems Using Metal-Assisted Laser Desorption/Ionization.Microbiology spectrum · 2021Article
- Dual-polarity SALDI FT-ICR MS imaging and Kendrick mass defect data filtering for lipid analysis.Analytical and bioanalytical chemistry · 2021Article
- Plant Single-Cell Metabolomics-Challenges and Perspectives.International journal of molecular sciences · 2020Review
- rMSIcleanup: an open-source tool for matrix-related peak annotation in mass spectrometry imaging and its application to silver-assisted laser desorption/ionization.Journal of cheminformatics · 2020Article
- Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.Nature communications · 2020Article
- Application of Mass Spectrometry Imaging for Visualizing Food Components.Foods (Basel, Switzerland) · 2020Review
- Toward Mass Spectrometry Imaging in the Metabolomics Scale: Increasing Metabolic Coverage Through Multiple On-Tissue Chemical Modifications.Frontiers in plant science · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Nanoparticles are efficient matrices in laser desorption/ionization (LDI) mass spectrometry (MS), especially for the profiling or imaging of small molecules. Recently, solvent-free physical vapor desorption (PVD), or sputter coating, was adopted as a homogenous method to rapidly apply metal nanoparticles (NPs) in situ to samples prior to LDI MS or MS imaging analysis. However, there has been no systematic study comparing different metal targets for the analysis of a variety of small molecule metabolites. Here, we present a screening and optimization of various sputter-coated metals, including Ag, Au, Cu, Pt, Ni, and Ti, for LDI analysis of small molecules in both positive and negative ion modes. Optimized sputter coating is then applied to high-spatial resolution LDI mass spectrometry imaging (MSI) of maize root and seed cross-sections. Noble metals, Ag, Au, and Pt, are found to be much more efficient than transition metals and organic matrices for most small metabolites. Sputter-coated metals are efficient for neutral lipids, such as triacylglycerols and diacylglycerols, but are very inefficient for most phospholipids. Graphical Abstract ᅟ.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.