Caltech researchers have pioneered a machine-learning-enhanced nanoelectromechanical system (NEMS) for precise mass spectrometry at the single-molecule level. This new “fingerprint” technique allows the identification of proteins without destructive processes, essential for comprehensive proteome analysis in their native states. By analyzing frequency shifts in vibrational modes when particles are placed on nanoscale devices, the system can rapidly and accurately determine molecular mass, potentially transforming biological and medical research.
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https://scitechdaily.com/machine-learning-meets-nanotech-caltechs-breakthrough-in-mass-spectrometry/
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