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Next-generation nanophotonic-enabled biosensors for intelligent diagnosis of SARS-CoV-2 variants.
Taha, Bakr Ahmed; Al Mashhadany, Yousif; Al-Jubouri, Qussay; Rashid, Affa Rozana Bt Abdul; Luo, Yunhan; Chen, Zhe; Rustagi, Sarvesh; Chaudhary, Vishal; Arsad, Norhana.
  • Taha BA; Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia. Electronic address: p103537@siswa.ukm.edu.my.
  • Al Mashhadany Y; Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar 00964, Iraq.
  • Al-Jubouri Q; Department of Communication Engineering, University of Technology, Baghdad, Iraq.
  • Rashid ARBA; Faculty of Science and Technology, University Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia.
  • Luo Y; Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Department of Optoelectronic Engineering, College of Science and Engineering, Jinan University, Guangzhou 510632, China.
  • Chen Z; Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes, Jinan University Guangzhou, 510632, China.
  • Rustagi S; School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India.
  • Chaudhary V; Department of Physics, Bhagini Nivedita College, University of Delhi, New Delhi 110045, India. Electronic address: drvishal@bn.du.ac.in.
  • Arsad N; Photonics Technology Laboratory, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia UKM, 43600 Bangi, Malaysia. Electronic address: noa@ukm.edu.my.
Sci Total Environ ; 880: 163333, 2023 Jul 01.
Article in English | MEDLINE | ID: covidwho-2304489
ABSTRACT
Constantly mutating SARS-CoV-2 is a global concern resulting in COVID-19 infectious waves from time to time in different regions, challenging present-day diagnostics and therapeutics. Early-stage point-of-care diagnostic (POC) biosensors are a crucial vector for the timely management of morbidity and mortalities caused due to COVID-19. The state-of-the-art SARS-CoV-2 biosensors depend upon developing a single platform for its diverse variants/biomarkers, enabling precise detection and monitoring. Nanophotonic-enabled biosensors have emerged as 'one platform' to diagnose COVID-19, addressing the concern of constant viral mutation. This review assesses the evolution of current and future variants of the SARS-CoV-2 and critically summarizes the current state of biosensor approaches for detecting SARS-CoV-2 variants/biomarkers employing nanophotonic-enabled diagnostics. It discusses the integration of modern-age technologies, including artificial intelligence, machine learning and 5G communication with nanophotonic biosensors for intelligent COVID-19 monitoring and management. It also highlights the challenges and potential opportunities for developing intelligent biosensors for diagnosing future SARS-CoV-2 variants. This review will guide future research and development on nano-enabled intelligent photonic-biosensor strategies for early-stage diagnosing of highly infectious diseases to prevent repeated outbreaks and save associated human mortalities.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study Topics: Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study Topics: Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2023 Document Type: Article