SARS-CoV-2 structures detection in artificial saliva using ATR-FTIR associated with Linear Discriminant Analysis

Taveira, E. B.; Guevara-Vega, M. F.; Santos, I. A.; Caixeta, D. C.; Grosche, V. R.; Cunha, T. M.; Carneiro, M. G.; Jardim, A. C. G.; Sabino-Silva, R.

Taveira, E. B.; Guevara-Vega, M. F.; Santos, I. A.; Caixeta, D. C.; Grosche, V. R.; Cunha, T. M.; Carneiro, M. G.; Jardim, A. C. G.; Sabino-Silva, R..

Latin America Optics and Photonics Conference, LAOP 2022 ; 2022.

Article in English | Scopus | ID: covidwho-2219034

ABSTRACT

ABSTRACT

Here, we used ATR-FTIR platform supported by artificial intelligence algorithms to identify unique infrared vibrational modes of a pseudotyped human immunodeficiency virus type-1 (HIV-1) coupled to Spike (S) protein of SARS-CoV-2 (HIV/NanoLuc-SARS-CoV-2 pseudotype virus). © Optica Publishing Group 2022 The Authors.

Keywords

ATR-FTIR; COVID-19; Saliva; SARS-CoV-2; Discriminant analysis; Fourier transform infrared spectroscopy; Supersaturation; 2-structure; Artificial intelligence algorithms; Artificial saliva; ATR FTIR; Human immunodeficiency virus; Linear discr

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Collection: Databases of international organizations Database: Scopus Language: English Journal: Latin America Optics and Photonics Conference, LAOP 2022 Year: 2022 Document Type: Article

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