We are thrilled to share the publication of our research article:
๐Ÿ”ท “๐™ˆ๐™–๐™˜๐™๐™ž๐™ฃ๐™š ๐™‡๐™š๐™–๐™ง๐™ฃ๐™ž๐™ฃ๐™œ-๐™€๐™ฃ๐™๐™–๐™ฃ๐™˜๐™š๐™™ ๐™Ž๐™€๐™๐™Ž ๐™ค๐™ฃ ๐™Ž๐™ž๐™ก๐™ž๐™˜๐™ค๐™ฃ-๐™‚๐™ค๐™ก๐™™ ๐™Ž๐™š๐™ฃ๐™จ๐™ค๐™ง๐™จ ๐™›๐™ค๐™ง ๐™๐™ก๐™ฉ๐™ง๐™–-๐™ƒ๐™ž๐™œ๐™-๐™๐™๐™ง๐™ค๐™ช๐™œ๐™๐™ฅ๐™ช๐™ฉ ๐™‹๐™–๐™ฉ๐™๐™ค๐™œ๐™š๐™ฃ ๐˜ฟ๐™š๐™ฉ๐™š๐™˜๐™ฉ๐™ž๐™ค๐™ฃ.”
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

DOI: https://lnkd.in/dTeU4dMS

#SERS#RAMANSERS#ISASI#CNR#MACHINELEARNING#PUBLICATION

font: https://www.linkedin.com/feed/update/urn:li:activity:7465661034012471296/

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