
We are thrilled to share the publication of our research article:
๐ท “๐๐๐๐๐๐ฃ๐ ๐๐๐๐ง๐ฃ๐๐ฃ๐-๐๐ฃ๐๐๐ฃ๐๐๐ ๐๐๐๐ ๐ค๐ฃ ๐๐๐ก๐๐๐ค๐ฃ-๐๐ค๐ก๐ ๐๐๐ฃ๐จ๐ค๐ง๐จ ๐๐ค๐ง ๐๐ก๐ฉ๐ง๐-๐๐๐๐-๐๐๐ง๐ค๐ช๐๐๐ฅ๐ช๐ฉ ๐๐๐ฉ๐๐ค๐๐๐ฃ ๐ฟ๐๐ฉ๐๐๐ฉ๐๐ค๐ฃ.”
In this work, we tackle one of the most critical challenges in modern healthcare and food safety: the need for rapid, highly sensitive, and ultra-high-throughput pathogen detection. By combining the molecular fingerprinting capabilities of Surface-Enhanced Raman Spectroscopy (SERS) with advanced Silicon-Gold nanostructured sensors and Machine Learning algorithms, we have developed a powerful framework to identify pathogens with unprecedented efficiency.
This achievement is the result of an incredible multidisciplinary collaboration across top-tier institutions and industry partners.
A massive thank you to the brilliant co-authors and colleagues for their dedication and hard work: Bryan Guilcapi AlulemaAlessia MilanoAmalia D’AvinoDomenico sagnelliMassimo RippaValentina MarchesanoIvan Salvatore PerrottaRosa Luisa Ambrosio @Giovanna Fusco Maurizio BrigottiStefano Morabito ed Lucia Petti
#SERS#RAMANSERS#ISASI#CNR#MACHINELEARNING#PUBLICATION
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