Characterization of Functionalized Nanoparticles Using Ambient Ionization Mass Spectrometry
This is the second of a three-part podcast series focused on nanomaterials characterization and the recent advancement in nano metrology and analytical methods. This series addresses three innovative and complementary analytical techniques that cover various measurements needed in the field on nanotechnology and nanomaterials characterization.
This is the second of a three-part podcast series focused on nanomaterials characterization and the recent advancement in nano metrology and analytical methods. This series addresses three innovative and complementary analytical techniques that cover various measurements needed in the field on nanotechnology and nanomaterials characterization. This second podcast will focus on the use of direct sample analysis (DSA), an ambient ionization technique, combined with time of flight (TOF) mass spectrometry, a novel technique that allows the rapid characterization of organic ligands residing on the surfaces of nanomaterials.
To view the associated webcast click here.
AI Boosts SERS for Next Generation Biomedical Breakthroughs
July 2nd 2025Researchers from Shanghai Jiao Tong University are harnessing artificial intelligence to elevate surface-enhanced Raman spectroscopy (SERS) for highly sensitive, multiplexed biomedical analysis, enabling faster diagnostics, imaging, and personalized treatments.
Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds
July 1st 2025A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.
