Medical/Biological

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Collection of raw Chinese herbal medicine as part of a classic herbal formula | Image Credit: © Tim Chow - stock.adobe.com

Scientists have developed a novel sorbent, diphenyl-functionalized nickel foam (NF-2Ph), for the accurate detection of polycyclic aromatic hydrocarbon (PAH) contaminants in Chinese herbal medicines. The method, which combines dispersive solid-phase extraction (DSPE) with gas chromatography-mass spectrometry (GC–MS) analysis, offers high sensitivity and precision, providing a reliable approach for quality control and safety assessment of these medicinal products.

Researcher with chemical test tubes in a glass laboratory with liquid for analytical, medical, pharmaceutical and scientific research concepts Test tubes in medical research clinics and chemicals | Image Credit: © ArLawKa - stock.adobe.com

New research using matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) has revealed the distinct distributions of acetaminophen and its metabolite in the kidneys at an unprecedented resolution of 10 μm. The study, conducted by Mitsutoshi Setou and his team from Hamamatsu University School of Medicine in Japan, provides valuable insights into drug distribution and metabolism, enhancing our understanding of the pharmacokinetics and potential nephrotoxicity of acetaminophen.

3D illustration, concept image. Embossed mesh representing internet connections in cloud computing. | Image Credit: © ktsdesign - stock.adobe.com

Researchers have introduced MCnebula, a new framework for untargeted LC–MS/MS data analysis. MCnebula focuses on critical chemical classes and utilizes visualization techniques to streamline the analysis process, enabling efficient pathway analysis, biomarker discovery, and classification of unknown compounds beyond the limits of spectral libraries.

Chain of amino acid or bio molecules called protein - 3d illustration | Image Credit: © Christoph Burgstedt - stock.adobe.com

A new study reveals that real-time library searching significantly improves the structural characterization of glycerophospholipids and sphingomyelins, offering enhanced selectivity and comprehensive analysis. By utilizing real-time identifications to trigger targeted MSn analyses, researchers gain deeper insights into these crucial lipid species.