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Mostafa M, Barhoum A, Sehit E, Gewaid H, Mostafa E, Omran MM, Abdalla MS, Abdel-Haleem FM, Altintas Z, Forster RJ. Current trends in COVID-19 diagnosis and its new variants in physiological fluids: Surface antigens, antibodies, nucleic acids, and RNA sequencing. Trends Analyt Chem 2022; 157:116750. [PMID: 36060607 PMCID: PMC9425703 DOI: 10.1016/j.trac.2022.116750] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/21/2022] [Accepted: 07/24/2022] [Indexed: 12/15/2022]
Abstract
Rapid, highly sensitive, and accurate virus circulation monitoring techniques are critical to limit the spread of the virus and reduce the social and economic burden. Therefore, point-of-use diagnostic devices have played a critical role in addressing the outbreak of COVID-19 (SARS-CoV-2) viruses. This review provides a comprehensive overview of the current techniques developed for the detection of SARS-CoV-2 in various body fluids (e.g., blood, urine, feces, saliva, tears, and semen) and considers the mutations (i.e., Alpha, Beta, Gamma, Delta, Omicron). We classify and comprehensively discuss the detection methods depending on the biomarker measured (i.e., surface antigen, antibody, and nucleic acid) and the measurement techniques such as lateral flow immunoassay (LFIA), enzyme-linked immunosorbent assay (ELISA), reverse transcriptase-polymerase chain reaction (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP), microarray analysis, clustered regularly interspaced short palindromic repeats (CRISPR) and biosensors. Finally, we addressed the challenges of rapidly identifying emerging variants, detecting the virus in the early stages of infection, the detection sensitivity, selectivity, and specificity, and commented on how these challenges can be overcome in the future.
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Affiliation(s)
- Menna Mostafa
- NanoStruc Research Group, Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt
| | - Ahmed Barhoum
- National Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland
| | - Ekin Sehit
- Institute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany
- Institute of Materials Science, Faculty of Engineering, Kiel University, 24143, Kiel, Germany
| | - Hossam Gewaid
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, The University of Dublin, 152-160 Pearse St, Dublin, D02R590, Ireland
| | - Eslam Mostafa
- Borg Pharmaceutical Industries, Refaat Hassan St, Al Abageyah, El-Khalifa, Cairo Governorate, 16, Egypt
| | - Mohamed M Omran
- Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt
| | - Mohga S Abdalla
- Chemistry Department, Faculty of Science, Helwan University, 11795, Cairo, Egypt
| | - Fatehy M Abdel-Haleem
- Chemistry Department, Faculty of Science, Cairo University, 12613, Giza, Egypt
- Center for Hazards Mitigation, Environmental Studies and Research (CHMESR), Cairo University, 12613, Giza, Egypt
| | - Zeynep Altintas
- Institute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany
- Institute of Materials Science, Faculty of Engineering, Kiel University, 24143, Kiel, Germany
| | - Robert J Forster
- National Centre for Sensor Research, School of Chemical Sciences, Dublin City University, D09 V209, Dublin, Ireland
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Bunaciu AA, Aboul-Enein HY. DETERMINATION OF COVID-19 VIRUSES IN SALIVA USING FOURIER TRANSFORM INFRARED SPECTROSCOPY. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2022. [PMCID: PMC9519369 DOI: 10.1016/j.cjac.2022.100178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The rapid spread of severe syndrome coronavirus 2 (SARS-CoV-2) has led to the coronavirus disease 2019 (COVID-19) worldwide pandemic. Scientists and researchers all over the world studied different methods in order to accelerate the testing results. In this review, we present some of the most important papers related to the determination of COVID – 19 in saliva using the Fourier Transform Infrared Spectroscopy technique.
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Dhar BC. Diagnostic assay and technology advancement for detecting SARS-CoV-2 infections causing the COVID-19 pandemic. Anal Bioanal Chem 2022; 414:2903-2934. [PMID: 35211785 PMCID: PMC8872642 DOI: 10.1007/s00216-022-03918-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/01/2022] [Accepted: 01/20/2022] [Indexed: 12/23/2022]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-caused COVID-19 pandemic has transmitted to humans in practically all parts of the world, producing socio-economic turmoil. There is an urgent need for precise, fast, and affordable diagnostic testing to be widely available for detecting SARS-CoV-2 and its mutations in various phases of the disease. Early diagnosis with great precision has been achieved using real-time polymerase chain reaction (RT-PCR) and similar other molecular methods, but theseapproaches are costly and involve rigorous processes that are not easily obtainable. Conversely, immunoassays that detect a small number of antibodies have been employed for quick, low-cost tests, but their efficiency in diagnosing infected people has been restricted. The use of biosensors in the detection of SARS-CoV-2 is vital for the COVID-19 pandemic’s control. This review gives an overview of COVID-19 diagnostic approaches that are currently being developed as well as nanomaterial-based biosensor technologies, to aid future technological advancement and innovation. These approaches can be integrated into point-of-care (POC) devices to quickly identify a large number of infected patients and asymptomatic carriers. The ongoing research endeavors and developments in complementary technologies will play a significant role in curbing the spread of the COVID-19 pandemic and fill the knowledge gaps in current diagnostic accuracy and capacity.
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Affiliation(s)
- Bidhan C Dhar
- Lineberger Comprehensive Cancer Center, University of North Carolina (UNC), 205 S Columbia St, Chapel Hill, NC, 27514, USA.
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Chu H, Liu C, Liu J, Yang J, Li Y, Zhang X. Recent advances and challenges of biosensing in point-of-care molecular diagnosis. SENSORS AND ACTUATORS. B, CHEMICAL 2021; 348:130708. [PMID: 34511726 PMCID: PMC8424413 DOI: 10.1016/j.snb.2021.130708] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/30/2021] [Accepted: 08/31/2021] [Indexed: 05/07/2023]
Abstract
Molecular diagnosis, which plays a major role in infectious disease screening with successful understanding of the human genome, has attracted more attention because of the outbreak of COVID-19 recently. Since point-of-care testing (POCT) can expand the application of molecular diagnosis with the benefit of rapid reply, low cost, and working in decentralized environments, many researchers and commercial institutions have dedicated tremendous effort and enthusiasm to POCT-based biosensing for molecular diagnosis. In this review, we firstly summarize the state-of-the-art techniques and the construction of biosensing systems for POC molecular diagnosis. Then, the application scenarios of POCT-based biosensing for molecular diagnosis were also reviewed. Finally, several challenges and perspectives of POC biosensing for molecular diagnosis are discussed. This review is expected to help researchers deepen comprehension and make progresses in POCT-based biosensing field for molecular diagnosis applications.
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Affiliation(s)
- Hongwei Chu
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Conghui Liu
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
| | - Jinsen Liu
- Shenzhen ENCO Instrument Co., Ltd, Shenzhen 518000, China
| | - Jiao Yang
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Yingchun Li
- Shenzhen Key Laboratory of Flexible Printed Electronics Technology, School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Xueji Zhang
- College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
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