Scientists from Stanford University published in the journal Nano Letters(Fareeha Safir et al., Combining Acoustic Bioprinting with AI-Assisted Raman Spectroscopy for High-Throughput Identification of Bacteria in Blood, Nano Letters (2023). DOI: 10.1021/acs.nanolett.2c03015). The new study demonstrates an innovative method for the identification in minutes of bacteria in blood using Raman spectroscopy. It involves shining a laser on a drop of blood, mucus, or wastewater, and the light reflecting can be used to identify bacteria in the sample since every microorganism has its unique spectrum fingerprint. The novelty is manipulating the spectroscopic data using nanoparticles and artificial intelligence. A printer deposits tinny samples to paper using acoustic pulses. The samples were infused with gold nanorods that attach themselves to bacteria, amplifying the signal. Machine learning is used to identify bacteria. @ https://phys.org/news/2023-03-bacteria-fluids.amp
