Researchers develop graphene nanodrum and AI platform for rapid single-cell bacterial ID and antibiotic testing
Researchers from TU Delft, its spinoff company SoundCell and Reinier Haga MDC have shown that graphene “nanodrums” combined with machine learning can identify bacteria and determine their antibiotic susceptibility from the nanomotion of single cells within a couple of hours. The approach unifies bacterial identification and antimicrobial susceptibility testing (AST) in one label-free measurement at the single-cell level.
Each nanodrum consists of a bilayer graphene membrane less than 1 nanometer thick, suspended over an 8 micrometer-wide cavity that can host a single bacterium. When a living cell adheres to the drum, its intrinsic motions drive nanoscale vibrations of the graphene, which are read out optically as a time-dependent signal. This configuration avoids ensemble averaging and captures the mechanical behavior of individual bacteria.


