Assessment of MALDI matrices for the detection and visualization of phosphatidylinositols and phosphoinositides in mouse kidneys through matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI).

Phosphatidylinositols and their phosphorylated derivatives, known as phosphoinositides, are crucial in cellular processes, with their abnormalities linked to various diseases. Thus, identifying and measuring phosphoinositide levels in tissues are crucial for understanding their contributions to cellular processes and disease development. One powerful technique for mapping the spatial distribution of molecules in biological samples is matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). This technique allows for the simultaneous detection and analysis of multiple lipid classes in situ, making it invaluable for unbiased lipidomic studies. However, detecting phosphoinositides with MALDI-MSI is challenging due to their relatively low abundance in tissues and complex matrix effects. Addressing this, our study focused on optimizing matrix selection and thickness for better detection of phosphatidylinositols and their phosphorylated forms in mouse kidney tissues. Various matrices were assessed, including 9AA, DAN, CMBT, and DHA, adjusting their coating to improve ionization efficiency. Our results demonstrate that DAN, DHA, and CMBT matrices produced high-intensity chemical images of phosphatidylinositol distributions within kidney sections. These matrices, particularly DAN, DHA, and CMBT, allowed the identification of even low-abundance phosphoinositides, through tentative identifications. Notably, DAN and DHA served as optimal candidates due to their prominent detection and ability to map a majority of phosphatidylinositol species, while CMBT showed potential detection capability for phosphatidylinositol triphosphate compounds. These findings not only provide valuable insights for future research on the involvement of phosphoinositides in kidney pathophysiology, but also propose the use of the identified optimal matrices, particularly DAN and DHA, as the preferred choices for enhanced detection and mapping of these lipid species in future studies.

Application of sandpaper spray ionization mass spectrometry to comprehensively examine maple leaves infected with distinct fungi.

This study describes a novel application for sandpaper spray ionization mass spectrometry (SPS-MS), to examine the surface of maple tree (Acer sp.) leaves. By comparing mass spectrometry fingerprints, healthy leaves from those infected with powdery mildew and Rhytisma acerinum were distinguished. Leaves were grated with sandpaper, cut into triangles, and placed before the mass spectrometer, with the addition of a methanol-formic acid solution. Multivariate statistical analysis categorized the samples into three groups. Overall, SPS-MS effectively analyzed leaves with infectious microorganisms, potentially aiding in the creation of fungal identification databanks.

Forensic application of sandpaper spray ionization mass spectrometry (SPS-MS): Direct analysis of solid pharmaceutical formulations and edible cannabis products.

In this work, we employed a new ambient ionization mass spectrometry technique, sandpaper spray mass spectrometry (SPS-MS), as an efficient tool to analyze pills and tablets of pharmaceutical formulations. The following samples were analyzed: regulators of blood pressure, cholesterol, and diabetes, and drugs for the treatment of erectile dysfunction (ED). Additionally, a hard candy of Cannabis sativa containing Δ9-tetrahydrocannabinol (Δ9-THC) and its related isomer cannabidiol (CBD) was also evaluated. The surfaces of the samples, without any prior treatment, were sanded onto triangular-cut sandpaper, and full MS scans (and MS/MS) were acquired in both positive and negative ionization modes. SPS-MS (and MS/MS) allowed for prompt detection of the active pharmaceutical ingredients (APIs) in each formulation. Other components of the formulations, added as excipients, were also tentatively identified. The results described herein indicate that the SPS-MS technique can be applied to fast screening of pills and tablets being potentially used as an efficient tool to detect counterfeit pharmaceutical and illicit products, a current issue of increasing concern.