Nanotechnology-based analytics 4.0: an approach for real-time spectroscopic monitoring and rapid detection of SARS CoV-2

Sebastian Hülck

doi:10.1117/12.3021766

12 March 2024 Nanotechnology-based analytics 4.0: an approach for real-time spectroscopic monitoring and rapid detection of SARS CoV-2

Sebastian Hülck

Author Affiliations +

Proceedings Volume 12853, High-Speed Biomedical Imaging and Spectroscopy IX; 128530E (2024) https://doi.org/10.1117/12.3021766
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

Nanotechnology-driven advancements in analytical science have revolutionized disease detection, offering rapid and accurate diagnostic solutions. This study explores the potential of advanced spectroscopic techniques, including Surface Enhanced Raman Scattering (SERS) and Localized Surface Plasmon Resonance (LSPR), for the rapid detection of SARS CoV-2, the causative agent of COVID-19. Leveraging the principles of nanomaterial interactions with viral components, SERS and LSPR enable label-free detection with high sensitivity, specificity, and speed. SERS exploits enhanced Raman signals from virus-interacting nanoscale substrates, while LSPR relies on plasmon resonance shifts upon viral binding. We provide an in-depth analysis of both techniques' principles, instrumentation, and potential applications. Moreover, we discuss the integration of machine learning algorithms to quantify viral loads accurately. Results reveal the efficacy of SERS and LSPR in detecting SARS CoV-2 with sensitivity comparable to polymerase chain reaction (PCR) tests, offering real-time monitoring and potential point-of-care utility. The business prospects and commercialization potential of these technologies underscore their relevance for industries beyond diagnostics. With comprehensive insights into optimization strategies, challenges, and implications, this study contributes to the nascent field of Nanotechnology-based Analytics 4.0, driving the convergence of nanotechnology, spectroscopy, and artificial intelligence for innovative diagnostic solutions.

Citation Download Citation

Sebastian Hülck "Nanotechnology-based analytics 4.0: an approach for real-time spectroscopic monitoring and rapid detection of SARS CoV-2", Proc. SPIE 12853, High-Speed Biomedical Imaging and Spectroscopy IX, 128530E (12 March 2024); https://doi.org/10.1117/12.3021766

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