MALDI sample preparation methods: A mini review

Patil, Avinash A.; Descanzo, Mhikee Janella N.; Dhisale, Vaishnavi B.; Peng, Wen-Ping

doi:10.1016/j.ijms.2024.117219

Cited by 4 publications

(2 citation statements)

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“…SA required a higher laser power regardless of the amount of matrix applied to the slide (Figure 2), indicating that the matrix is ill-suited for lipids (Leopold et al, 2023). Other studies suggest that SA would be more suitable for ionization of higher mass analytes such as proteins (Patil et al, 2024). Moreover, laser power and ionization are positively related regardless of matrix choice; however, there is no way to confidently ensure that only the desired analytes are being ionized.…”

Section: Sinapinic Acid (Sa)mentioning

confidence: 99%

“…There are hundreds of matrices to choose from (Calvano et al, 2018;Leopold et al, 2018), and in selecting one, the analytes of interest, the tissue to which matrix is being applied, and the spatial resolution of the instrument must be considered. Although some matrices interact favorably with only a few classes compounds (e.g., 2,4,6trihydroxyacetophenone (THAP) for nucleic acid and peptide/ protein analysis (Patil et al, 2024), others span a wide range of assorted compounds (e.g., trans-2-[3-(4-tert-Butylphenyl)-2methyl-2-propenylidene]malononitrile (DCTB) for analysis of oligomers, polymers, dendrimers, and small molecules (Ulmer et al, 2000;Brown et al, 2001)). However, the road to finding a suitable matrix for a given application is often considered a "trialand-error" process because matrices do not always interact with analytes in the expected manner (Leopold et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Method optimization for benchtop mass spectrometry imaging of lipids in Eisenia hortensis

Selby,

Korte,

Phan

et al. 2024

Front. Environ. Chem.

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Matrix selection and application is a crucial step in obtaining meaningful results with matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI). Most instruments have a large spatial, and data with adequate spatial resolution can frequently be obtained on a benchtop instrument. The matrix application workflow has been optimized for the imaging of the earthworm (Eisenia hortensis), after exposure to various statins, a class of blood lipid-lowering agents. Lipids are nonpolar, often neutral molecules, making them difficult to ionize, and heightening the need for matrix optimization. The matrices 2,5-dihydroxybenzoic acid (DHB), α-cyano-4-hydroxycinammic acid (CHCA), 1,5-diaminonaphthalene (DAN), and 3,5-dimethoxy-4-hydroxycinnamic acid (sinapinic acid; SA) were studied. Samples were also washed in the ammonium salts of acetate, bicarbonate, formate, sulfate, or water as a control to enhance ionization and improve spatial resolution. A successful matrix for MSI is one that demonstrates homogenous tissue coverage, ionization of the analytes of interest, and does not require excessive laser power for ionization. All matrices showed sufficient tissue coverage; however, CHCA yielded unambiguous images of cholesterol and yielded sufficient signal over the lipid mass range (400–1,000 m/z), indicating that it successfully ionized endogenous lipids. Following additional optimization, the application of 50 mL of 10 mg/mL CHCA following a 5 s salt ammonium sulfate salt wash proved most successful for improving lipid ionization and enhancing spatial resolution.

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Section: Sinapinic Acid (Sa)mentioning

confidence: 99%