This study presents a sensitive LC-HRMS method for sequence verification and impurity profiling of RNA-based therapeutics.

This study investigates chemical aging of tire and turf crumb rubber, identifying hundreds of transformation products and potential aging markers.

This study introduces a compact multi-reflecting TOF mass spectrometer combining high resolution, fast acquisition, and broad dynamic range for LC-MS/MS.

LC–MS/MS proteomics of cerebrospinal fluid reveals lysosomal and axonal pathway disruptions and potential biomarkers in neurosyphilis.

Researchers from the Institute of Physiology CAS identified novel blood biomarkers that objectively reveal whether patients with type 2 diabetes take metformin as prescribed.

New androstane-based steroid derivatives can significantly improve antibiotic efficacy against multidrug-resistant Staphylococcus aureus, offering a promising strategy to overcome efflux-mediated resistance.

This study shows nanoflow ESI-MS signal intensity is robust within 1–2 mm of optimal emitter position, improving proteomics workflow stability.

This study characterizes bee product–enriched blackthorn kombucha, revealing improved bioactive content, antioxidant capacity, and antidiabetic activity.

LCMS-Net is an end-to-end deep learning model for raw LC-HRMS data, improving accuracy, reducing preprocessing, and minimizing batch effects in metabolomics.

This study uses ASAP-IMS-HRMS to characterize and classify Asian lacquers by origin, detecting phenols, pigments, and resins in historical samples.