Photonics enabled intelligence system to identify SARS-CoV 2 mutations

Bakr Ahmed Taha

doi:10.1007/s00253-022-11930-1

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Photonics enabled intelligence system to identify SARS-CoV 2 mutations

2022-04-29

Bakr Ahmed Taha

Qussay Al-Jubouri

Yousif Al Mashhadany

Mohd Saiful Dzulkefly Zan

Ahmad Ashrif A. Bakar

Mahmoud Muhanad Fadhel

Norhana Arsad *

DOI：10.1007/s00253-022-11930-1

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Abstract

En 中文

The COVID-19, MERS-CoV, and SARS-CoV are hazardous epidemics that have resulted in many deaths which caused a worldwide debate. Despite control efforts, SARS-CoV-2 continues to spread, and the fast spread of this highly infectious illness has posed a grave threat to global health. The effect of the SARS-CoV-2 mutation, on the other hand, has been characterized by worrying variations that modify viral characteristics in response to the changing resistance profile of the human population. The repeated transmission of virus mutation indicates that epidemics are likely to occur. Therefore, an early identification system of ongoing mutations of SARS-CoV-2 will provide essential insights for planning and avoiding future outbreaks. This article discussed the following highlights: First, comparing the omicron mutation with other variants; second, analysis and evaluation of the spread rate of the SARS-CoV 2 variations in the countries; third, identification of mutation areas in spike protein; and fourth, it discussed the photonics approaches enabled with artificial intelligence. Therefore, our goal is to identify the SARS-CoV 2 virus directly without the need for sample preparation or molecular amplification procedures. Furthermore, by connecting through the optical network, the COVID-19 test becomes a component of the Internet of healthcare things to improve precision, service efficiency, and flexibility and provide greater availability for the evaluation of the general population.

Keywords:

SARS-CoV 2

Spike protein

Mutations

COVID-19 variant

Photonic

Intelligence system

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