COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections.
Cristiano Carlomagno,D. Bertazioli,Alice Gualerzi,Silvia Picciolini,Paolo Banfi,Agata Lax,Enza Messina,J. Navarro,L. Bianchi,A. Caronni,F. Marenco,S. Monteleone,Chiara Arienti,Marzia Bedoni +13 more
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TLDR
In this paper, a Raman-based approach for the analysis of saliva, able to significantly discriminate the signal of patients with a current infection by COVID-19 from healthy subjects and/or subjects with a past infection, was presented.Abstract:
The pandemic of COVID-19 is continuously spreading, becoming a worldwide emergency. Early and fast identification of subjects with a current or past infection must be achieved to slow down the epidemiological widening. Here we report a Raman-based approach for the analysis of saliva, able to significantly discriminate the signal of patients with a current infection by COVID-19 from healthy subjects and/or subjects with a past infection. Our results demonstrated the differences in saliva biochemical composition of the three experimental groups, with modifications grouped in specific attributable spectral regions. The Raman-based classification model was able to discriminate the signal collected from COVID-19 patients with accuracy, precision, sensitivity and specificity of more than 95%. In order to translate this discrimination from the signal-level to the patient-level, we developed a Deep Learning model obtaining accuracy in the range 89-92%. These findings have implications for the creation of a potential Raman-based diagnostic tool, using saliva as minimal invasive and highly informative biofluid, demonstrating the efficacy of the classification model.read more
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Detection of live SARS-CoV-2 virus and its variants by specially designed SERS-active substrates and spectroscopic analyses
Jaya L. Sitjar,Jiunn Der Liao,Han Lee,Huey Pin Tsai,Jen Ren Wang,Hao Wang,Bernard Haochih Liu +6 more
TL;DR: In this paper , a method using label-free surface enhanced Raman spectroscopy (SERS) based on substrate design is provided for an early detection and differentiation of spike glycoprotein mutation sites in live SARS-CoV-2 variants.
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Deep learning methods for oral cancer detection using Raman spectroscopy
Z Weng,Gergely BALAZS +1 more
TL;DR: Wang et al. as discussed by the authors developed a prototype intelligent detection system with above five classical deep neural network models to realize multi-types of oral cancer tissue detection using Raman spectroscopy analysis.
Journal ArticleDOI
SARS‐CoV‐2 severity classification from plasma sample using confocal Raman spectroscopy
Arghya Banerjee,Ankit Halder,Priyanka A. Jadhav,Anushka Sarkar,Arti Hole,Jayanthi Shastri,Sachee Agrawal,Murali Krishna Chilakapati,Sanjeeva Srivastava +8 more
TL;DR: In this article , the potential of confocal Raman microspectroscopy as a powerful tool to generate an expeditious blood-based test for the classification of COVID•19 disease severity using 65 patients plasma samples from cohorts infected with SARS•CoV•2.
Journal ArticleDOI
SERS Signature of SARS-CoV-2 in Saliva and Nasopharyngeal Swabs: Towards Perspective COVID-19 Point-of-Care Diagnostics
Sylwia M. Berus,Ariadna B. Nowicka,Julia Wieruszewska,Krzysztof Niciński,Aneta Aniela Kowalska,Tomasz Szymborski,Izabela Dróżdż,Maciej Borowiec,Jacek Waluk,Agnieszka Kamińska +9 more
TL;DR: In this paper , the intrinsic surface-enhanced Raman spectroscopy (SERS)-based approach coupled with chemometric analysis was adopted to establish the biochemical fingerprint of SARS-CoV-2 infected human fluids: saliva and nasopharyngeal swabs.
Book ChapterDOI
Noninvasive biomarker sensors using surface-enhanced Raman spectroscopy
TL;DR: In this article , surface-enhanced Raman spectroscopy (SERS) is used to detect biomarkers in body fluids such as sweat, saliva, and tears with an emphasis on the analysis of biomarkers, fabrication techniques, and potential real-time applications for biochemical sensing.
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