Untargeted metabolomics is evolving into a field of big data science. There is a growing interest within the metabolomics community in mining tandem mass spectrometry (MS/MS)-based data from public repositories. In traditional untargeted metabolomics, samples to address a predefined question are collected and liquid chromatography with MS/MS data are generated.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
February 2025
Untargeted metabolomics often produce large datasets with missing values. These missing values are derived from biological or technical factors and can undermine statistical analyses and lead to biased biological interpretations. Imputation methods, such as -Nearest Neighbors (kNN) and Random Forest (RF) regression, are commonly used, but their effects vary depending on the type of missing data, e.
View Article and Find Full Text PDFThis study investigates the extraction of partially purified sulphated polysaccharides from marine bivalves through enzymatic digestion followed by sequential deproteinization and evaluates their anti-gastric cancer activity. Chemical analysis confirmed high uronic acid and sulfate content, with FT-IR validating characteristic functional groups. polysaccharide demonstrated significant, dose-dependent anti-proliferative effects against AGS cells.
View Article and Find Full Text PDFUsing quantum chemical calculations, spectroscopic methods, and molecular docking analysis, this work explores the electronic, structural, vibrational, and biological characteristics of CAFI. Intramolecular hydrogen bonding between the methyl and C = O groups (with bond lengths less than 3 Å) was detected, affirming molecular stability. Corresponded with the theoretical expectations, FT-IR and UV spectra corroborating CAFI's chemical stability.
View Article and Find Full Text PDFIn this study, dye/polymer matrix-stabilized β-FeOOH nanomaterials were fabricated for therapeutic applications. Rh-B/F127@β-FeOOH nanomaterials were synthesized using two different methods: co-precipitation (CoP) and hydrothermal (HT) methods. The as-synthesized nanoparticles were characterized using various spectroscopic techniques, including FT-IR, UV-Vis, PL, XRD, HR-TEM, and XPS analysis.
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