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Tekin YS, Kul SM, Sagdic O, Rodthongkum N, Geiss B, Ozer T. Optical biosensors for diagnosis of COVID-19: nanomaterial-enabled particle strategies for post pandemic era. Mikrochim Acta 2024; 191:320. [PMID: 38727849 PMCID: PMC11087243 DOI: 10.1007/s00604-024-06373-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/19/2024] [Indexed: 05/13/2024]
Abstract
The COVID-19 pandemic underlines the need for effective strategies for controlling virus spread and ensuring sensitive detection of SARS-CoV-2. This review presents the potential of nanomaterial-enabled optical biosensors for rapid and low-cost detection of SARS-CoV-2 biomarkers, demonstrating a comprehensive analysis including colorimetric, fluorescence, surface-enhanced Raman scattering, and surface plasmon resonance detection methods. Nanomaterials including metal-based nanomaterials, metal-organic frame-based nanoparticles, nanorods, nanoporous materials, nanoshell materials, and magnetic nanoparticles employed in the production of optical biosensors are presented in detail. This review also discusses the detection principles, fabrication methods, nanomaterial synthesis, and their applications for the detection of SARS-CoV-2 in four categories: antibody-based, antigen-based, nucleic acid-based, and aptamer-based biosensors. This critical review includes reports published in the literature between the years 2021 and 2024. In addition, the review offers critical insights into optical nanobiosensors for the diagnosis of COVID-19. The integration of artificial intelligence and machine learning technologies with optical nanomaterial-enabled biosensors is proposed to improve the efficiency of optical diagnostic systems for future pandemic scenarios.
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Affiliation(s)
- Yusuf Samil Tekin
- Department of Biomedical Engineering, Graduate Education Institute, Malatya Turgut Ozal University, 44210, Battalgazi, Malatya, Turkey
| | - Seyda Mihriban Kul
- Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey
| | - Osman Sagdic
- Department of Food Engineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey
| | - Nadnudda Rodthongkum
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Bangkok, 10330, Patumwan, Thailand
| | - Brian Geiss
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523-1019, USA.
| | - Tugba Ozer
- Department of Bioengineering, Faculty of Chemical-Metallurgical Engineering, Yildiz Technical University, 34220, Istanbul, Turkey.
- Health Biotechnology Joint Research and Application Center of Excellence, Esenler, 34220, Istanbul, Turkey.
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2
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Kouz S, Raouafi A, Ouhibi A, Lorrain N, Essafi M, Mejri M, Raouafi N, Moadhen A, Guendouz M. Detection of SARS-CoV-2 N protein using AgNPs-modified aligned silicon nanowires BioSERS chip. RSC Adv 2024; 14:12071-12080. [PMID: 38628480 PMCID: PMC11019291 DOI: 10.1039/d4ra00267a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/03/2024] [Indexed: 04/19/2024] Open
Abstract
The SARS-CoV-2 (COVID-19) pandemic had a strong impact on societies and economies worldwide and tests for high-performance detection of SARS-CoV-2 biomarkers are still needed for potential future outbreaks of the disease. In this paper, we present the different steps for the design of an aptamer-based surface-enhanced Raman scattering (BioSERS) sensing chip capable of detecting the coronavirus nucleocapsid protein (N protein) in spiked phosphate-buffered solutions and real samples of human blood serum. Optimization of the preparation steps in terms of the aptamer concentration used for the functionalization of the silver nanoparticles, time for affixing the aptamer, incubation time with target protein, and insulation of the silver active surface with cysteamine, led to a sensitive BioSERS chip, which was able to detect the N protein in the range from 1 to 75 ng mL-1 in spiked phosphate-buffered solutions with a detection limit of 1 ng mL-1 within 30 min. Furthermore, the BioSERS chip was used to detect the target protein in scarcely spiked human serum. This study demonstrates the possibility of a clinical application that can improve the detection limit and accuracy of the currently commercialized SARS-CoV-2 immunodiagnostic kit. Additionally, the system is modular and can be applied to detect other proteins by only changing the aptamer.
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Affiliation(s)
- Sadok Kouz
- Faculty of Sciences of Tunis, Laboratory of Nanomaterials Nanotechnology and Energy (L2NE), University of Tunis El Manar 2092 Tunis El Manar Tunisia
- UMR FOTON, CNRS, University of Rennes Enssat, BP 80518, 6 rue Kerampont F22305 Lannion France
| | - Amal Raouafi
- Faculty of Sciences of Tunis, Laboratory of Analytical Chemistry and Electrochemistry (LR99ES15), Sensor and Biosensors Group, University of Tunis El Manar 2092 Tunis El Manar Tunisia
| | - Awatef Ouhibi
- Faculty of Sciences of Tunis, Laboratory of Nanomaterials Nanotechnology and Energy (L2NE), University of Tunis El Manar 2092 Tunis El Manar Tunisia
| | - Nathalie Lorrain
- UMR FOTON, CNRS, University of Rennes Enssat, BP 80518, 6 rue Kerampont F22305 Lannion France
| | - Makram Essafi
- Pasteur Institute of Tunis, University of Tunis El Manar LTCII LR11 IPT02 Tunis Tunisia
| | - Manel Mejri
- Pasteur Institute of Tunis, University of Tunis El Manar LTCII LR11 IPT02 Tunis Tunisia
| | - Noureddine Raouafi
- Faculty of Sciences of Tunis, Laboratory of Analytical Chemistry and Electrochemistry (LR99ES15), Sensor and Biosensors Group, University of Tunis El Manar 2092 Tunis El Manar Tunisia
| | - Adel Moadhen
- Faculty of Sciences of Tunis, Laboratory of Nanomaterials Nanotechnology and Energy (L2NE), University of Tunis El Manar 2092 Tunis El Manar Tunisia
| | - Mohammed Guendouz
- UMR FOTON, CNRS, University of Rennes Enssat, BP 80518, 6 rue Kerampont F22305 Lannion France
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3
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Hasan J, Bok S. Plasmonic Fluorescence Sensors in Diagnosis of Infectious Diseases. BIOSENSORS 2024; 14:130. [PMID: 38534237 DOI: 10.3390/bios14030130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/25/2024] [Accepted: 02/26/2024] [Indexed: 03/28/2024]
Abstract
The increasing demand for rapid, cost-effective, and reliable diagnostic tools in personalized and point-of-care medicine is driving scientists to enhance existing technology platforms and develop new methods for detecting and measuring clinically significant biomarkers. Humanity is confronted with growing risks from emerging and recurring infectious diseases, including the influenza virus, dengue virus (DENV), human immunodeficiency virus (HIV), Ebola virus, tuberculosis, cholera, and, most notably, SARS coronavirus-2 (SARS-CoV-2; COVID-19), among others. Timely diagnosis of infections and effective disease control have always been of paramount importance. Plasmonic-based biosensing holds the potential to address the threat posed by infectious diseases by enabling prompt disease monitoring. In recent years, numerous plasmonic platforms have risen to the challenge of offering on-site strategies to complement traditional diagnostic methods like polymerase chain reaction (PCR) and enzyme-linked immunosorbent assays (ELISA). Disease detection can be accomplished through the utilization of diverse plasmonic phenomena, such as propagating surface plasmon resonance (SPR), localized SPR (LSPR), surface-enhanced Raman scattering (SERS), surface-enhanced fluorescence (SEF), surface-enhanced infrared absorption spectroscopy, and plasmonic fluorescence sensors. This review focuses on diagnostic methods employing plasmonic fluorescence sensors, highlighting their pivotal role in swift disease detection with remarkable sensitivity. It underscores the necessity for continued research to expand the scope and capabilities of plasmonic fluorescence sensors in the field of diagnostics.
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Affiliation(s)
- Juiena Hasan
- Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver, Denver, CO 80208, USA
| | - Sangho Bok
- Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver, Denver, CO 80208, USA
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4
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Medrano-Lopez JA, Villalpando I, Salazar MI, Torres-Torres C. Hierarchical Nanobiosensors at the End of the SARS-CoV-2 Pandemic. BIOSENSORS 2024; 14:108. [PMID: 38392027 PMCID: PMC10887370 DOI: 10.3390/bios14020108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 02/09/2024] [Accepted: 02/15/2024] [Indexed: 02/24/2024]
Abstract
Nanostructures have played a key role in the development of different techniques to attack severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Some applications include masks, vaccines, and biosensors. The latter are of great interest for detecting diseases since some of their features allowed us to find specific markers in secretion samples such as saliva, blood, and even tears. Herein, we highlight how hierarchical nanoparticles integrated into two or more low-dimensional materials present outstanding advantages that are attractive for photonic biosensing using their nanoscale functions. The potential of nanohybrids with their superlative mechanical characteristics together with their optical and optoelectronic properties is discussed. The progress in the scientific research focused on using nanoparticles for biosensing a variety of viruses has become a medical milestone in recent years, and has laid the groundwork for future disease treatments. This perspective analyzes the crucial information about the use of hierarchical nanostructures in biosensing for the prevention, treatment, and mitigation of SARS-CoV-2 effects.
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Affiliation(s)
- Jael Abigail Medrano-Lopez
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Mexico City 07738, Mexico
| | - Isaela Villalpando
- Centro de Investigación para los Recursos Naturales, Salaices 33941, Mexico
| | - Ma Isabel Salazar
- Departamento de Microbiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Mexico City 11340, Mexico
| | - Carlos Torres-Torres
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Ingeniería y Eléctrica, Unidad Zacatenco, Instituto Politécnico Nacional, Mexico City 07738, Mexico
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5
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Song X, Fredj Z, Zheng Y, Zhang H, Rong G, Bian S, Sawan M. Biosensors for waterborne virus detection: Challenges and strategies. J Pharm Anal 2023; 13:1252-1268. [PMID: 38174120 PMCID: PMC10759259 DOI: 10.1016/j.jpha.2023.08.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/20/2023] [Accepted: 08/29/2023] [Indexed: 01/05/2024] Open
Abstract
Waterborne viruses that can be harmful to human health pose significant challenges globally, affecting health care systems and the economy. Identifying these waterborne pathogens is essential for preventing diseases and protecting public health. However, handling complex samples such as human and wastewater can be challenging due to their dynamic and complex composition and the ultralow concentration of target analytes. This review presents a comprehensive overview of the latest breakthroughs in waterborne virus biosensors. It begins by highlighting several promising strategies that enhance the sensing performance of optical and electrochemical biosensors in human samples. These strategies include optimizing bioreceptor selection, transduction elements, signal amplification, and integrated sensing systems. Furthermore, the insights gained from biosensing waterborne viruses in human samples are applied to improve biosensing in wastewater, with a particular focus on sampling and sample pretreatment due to the dispersion characteristics of waterborne viruses in wastewater. This review suggests that implementing a comprehensive system that integrates the entire waterborne virus detection process with high-accuracy analysis could enhance virus monitoring. These findings provide valuable insights for improving the effectiveness of waterborne virus detection, which could have significant implications for public health and environmental management.
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Affiliation(s)
- Xixi Song
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Zina Fredj
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Yuqiao Zheng
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Hongyong Zhang
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, 310030, China
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Yari P, Liang S, Chugh VK, Rezaei B, Mostufa S, Krishna VD, Saha R, Cheeran MCJ, Wang JP, Gómez-Pastora J, Wu K. Nanomaterial-Based Biosensors for SARS-CoV-2 and Future Epidemics. Anal Chem 2023; 95:15419-15449. [PMID: 37826859 DOI: 10.1021/acs.analchem.3c01522] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Affiliation(s)
- Parsa Yari
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shuang Liang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Vinit Kumar Chugh
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Bahareh Rezaei
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Shahriar Mostufa
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Venkatramana Divana Krishna
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Renata Saha
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Maxim C-J Cheeran
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota 55108, United States
| | - Jian-Ping Wang
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Jenifer Gómez-Pastora
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409, United States
| | - Kai Wu
- Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409, United States
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7
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Wu Y, Yu Q, Joung Y, Jeon CS, Lee S, Pyun SH, Joo SW, Chen L, Choo J. Highly Uniform Self-Assembly of Gold Nanoparticles by Butanol-Induced Dehydration and Its SERS Applications in SARS-CoV-2 Detection. Anal Chem 2023; 95:12710-12718. [PMID: 37594054 DOI: 10.1021/acs.analchem.3c01348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
We report the development of a reproducible and highly sensitive surface-enhanced Raman scattering (SERS) substrate using a butanol-induced self-assembly of gold nanoparticles (AuNPs) and its application as a rapid diagnostic platform for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The butanol-induced self-assembly process was used to generate a uniform assembly of AuNPs, with multiple hotspots, to achieve high reproducibility. When an aqueous droplet containing AuNPs and target DNAs was dropped onto a butanol droplet, butanol-induced dehydration occurred, enriching the target DNAs around the AuNPs and increasing the loading density of the DNAs on the AuNP surface. The SERS substrate was evaluated by using Raman spectroscopy, which showed strong electromagnetic enhancement of the Raman signals. The substrate was then tested for the detection of SARS-CoV-2 using SERS, and a very low limit of detection (LoD) of 3.1 × 10-15 M was obtained. This provides sufficient sensitivity for the SARS-CoV-2 screening assay, and the diagnostic time is significantly reduced as no thermocycling steps are required. This study demonstrates a method for the butanol-induced self-assembly of AuNPs and its application as a highly sensitive and reproducible SERS substrate for the rapid detection of SARS-CoV-2. The results suggest the potential of this approach for developing rapid diagnostic platforms for other biomolecules and infectious diseases.
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Affiliation(s)
- Yixuan Wu
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Qian Yu
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Chang Su Jeon
- R&D Center, Speclipse Inc., Seongnam 13461, South Korea
| | - Seunghyun Lee
- Department of Chemical and Molecular Engineering, Hanyang University ERICA, Ansan 15588, South Korea
| | | | - Sang-Woo Joo
- Department of Chemistry, Soongsil University, Seoul 06978, South Korea
| | - Lingxin Chen
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
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8
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Huang L, Zhang Z. Recent Advances in the DNA-Mediated Multi-Mode Analytical Methods for Biological Samples. BIOSENSORS 2023; 13:693. [PMID: 37504092 PMCID: PMC10377368 DOI: 10.3390/bios13070693] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/14/2023] [Accepted: 06/27/2023] [Indexed: 07/29/2023]
Abstract
DNA-mediated nanotechnology has become a research hot spot in recent decades and is widely used in the field of biosensing analysis due to its distinctive properties of precise programmability, easy synthesis and high stability. Multi-mode analytical methods can provide sensitive, accurate and complementary analytical information by merging two or more detection techniques with higher analytical throughput and efficiency. Currently, the development of DNA-mediated multi-mode analytical methods by integrating DNA-mediated nanotechnology with multi-mode analytical methods has been proved to be an effective assay for greatly enhancing the selectivity, sensitivity and accuracy, as well as detection throughput, for complex biological analysis. In this paper, the recent progress in the preparation of typical DNA-mediated multi-mode probes is reviewed from the aspect of deoxyribozyme, aptamer, templated-DNA and G-quadruplex-mediated strategies. Then, the advances in DNA-mediated multi-mode analytical methods for biological samples are summarized in detail. Moreover, the corresponding current applications for biomarker analysis, bioimaging analysis and biological monitoring are introduced. Finally, a proper summary is given and future prospective trends are discussed, hopefully providing useful information to the readers in this research field.
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Affiliation(s)
- Lu Huang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhuomin Zhang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
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9
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Tang YN, Jiang D, Wang X, Liu Y, Wei D. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms. CHINESE CHEM LETT 2023:108688. [PMID: 37362324 PMCID: PMC10266891 DOI: 10.1016/j.cclet.2023.108688] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 05/25/2023] [Accepted: 06/12/2023] [Indexed: 06/28/2023]
Abstract
The outbreak of COVID-19 has drawn great attention around the world. SARS-CoV-2 is a highly infectious virus with occult transmission by many mutations and a long incubation period. In particular, the emergence of asymptomatic infections has made the epidemic even more severe. Therefore, early diagnosis and timely management of suspected cases are essential measures to control the spread of the virus. Developing simple, portable, and accurate diagnostic techniques for SARS-CoV-2 is the key to epidemic prevention. The advantages of point-of-care testing technology make it play an increasingly important role in viral detection and screening. This review summarizes the point-of-care testing platforms developed by nucleic acid detection, immunological detection, and nanomaterial-based biosensors detection. Furthermore, this paper provides a prospect for designing future highly accurate, cheap, and convenient SARS-CoV-2 diagnostic technology.
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Affiliation(s)
- Ya-Nan Tang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dingding Jiang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Xuejun Wang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Yunqi Liu
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
| | - Dacheng Wei
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China
- Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
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10
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Lukose J, Barik AK, George SD, Murukeshan VM, Chidangil S. Raman spectroscopy for viral diagnostics. Biophys Rev 2023; 15:199-221. [PMID: 37113565 PMCID: PMC10088700 DOI: 10.1007/s12551-023-01059-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 03/24/2023] [Indexed: 04/29/2023] Open
Abstract
Raman spectroscopy offers the potential for fingerprinting biological molecules at ultra-low concentration and therefore has potential for the detection of viruses. Here we review various Raman techniques employed for the investigation of viruses. Different Raman techniques are discussed including conventional Raman spectroscopy, surface-enhanced Raman spectroscopy, Raman tweezer, tip-enhanced Raman Spectroscopy, and coherent anti-Stokes Raman scattering. Surface-enhanced Raman scattering can play an essential role in viral detection by multiplexing nanotechnology, microfluidics, and machine learning for ensuring spectral reproducibility and efficient workflow in sample processing and detection. The application of these techniques to diagnose the SARS-CoV-2 virus is also reviewed. Graphical abstract Supplementary Information The online version contains supplementary material available at 10.1007/s12551-023-01059-4.
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Affiliation(s)
- Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
| | - Ajaya Kumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
| | - Sajan D. George
- Centre for Applied Nanosciences, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
| | - V. M. Murukeshan
- Centre for Optical and Laser Engineering, School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore, Singapore
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India
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11
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Soh JO, Park BC, Park HS, Kim MS, Fu HE, Kim YK, Lee JH. Multifunctional Nanoparticle Platform for Surface Accumulative Nucleic Acid Amplification and Rapid Electrochemical Detection: An Application to Pathogenic Coronavirus. ACS Sens 2023; 8:839-847. [PMID: 36707063 PMCID: PMC9897046 DOI: 10.1021/acssensors.2c02512] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/06/2023] [Indexed: 01/29/2023]
Abstract
Of various molecular diagnostic assays, the real-time reverse transcription polymerase chain reaction is considered the gold standard for infection diagnosis, despite critical drawbacks that limit rapid detection and accessibility. To confront these issues, several nanoparticle-based molecular detection methods have been developed to a great extent, but still possess several challenges. In this study, a novel nucleic acid amplification method termed nanoparticle-based surface localized amplification (nSLAM) is paired with electrochemical detection (ECD) to develop a nucleic acid biosensor platform that overcomes these limitations. The system uses primer-functionalized Fe3O4-Au core-shell nanoparticles for nucleic acid amplification, which promotes the production of amplicons that accumulate on the nanoparticle surfaces, inducing significantly amplified currents during ECD that identify the presence of target genetic material. The platform, applying to the COVID-19 model, demonstrates an exceptional sensitivity of ∼1 copy/μL for 35 cycles of amplification, enabling the reduction of amplification cycles to 4 cycles (∼7 min runtime) using 1 fM complementary DNA. The nSLAM acts as an accelerator that actively promotes and participates in the nucleic acid amplification process through direct polymerization and binding of amplicons on the nanoparticle surfaces. This ultrasensitive fast-response system is a promising method for detecting emerging pathogens like the coronavirus and can be extended to detect a wider variety of biomolecules.
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Affiliation(s)
- Jeong Ook Soh
- Department of Bionano Engineering,
Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
- Center for Bionano Intelligence Education and
Research, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
| | - Bum Chul Park
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
- Brain Korea Center for Smart Materials and Devices,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Hyeon Su Park
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Myeong Soo Kim
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Hong En Fu
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Young Keun Kim
- Department of Materials Science and Engineering,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
- Brain Korea Center for Smart Materials and Devices,
Korea University, 145 Anam-ro, Seongbuk-gu, Seoul02841,
Republic of Korea
| | - Ju Hun Lee
- Department of Bionano Engineering,
Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
- Center for Bionano Intelligence Education and
Research, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu,
Ansan15588, Republic of Korea
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12
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Kadadou D, Tizani L, Wadi VS, Banat F, Alsafar H, Yousef AF, Hasan SW. Detection of SARS-CoV-2 in clinical and environmental samples using highly sensitive reduced graphene oxide (rGO)-based biosensor. CHEMICAL ENGINEERING JOURNAL (LAUSANNE, SWITZERLAND : 1996) 2023; 453:139750. [PMID: 36267422 PMCID: PMC9557116 DOI: 10.1016/j.cej.2022.139750] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/01/2022] [Accepted: 10/08/2022] [Indexed: 05/05/2023]
Abstract
Quantitative RT-PCR (qRT-PCR) is the most commonly used diagnostic tool for SARS-CoV-2 detection during the COVID-19 pandemic. Despite its sensitivity and accuracy, qRT-PCR is a time-consuming method that requires expensive laboratories with highly trained personnel. In this work, on-site detection of SARS-CoV-2 in municipal wastewater was investigated for the first time. The wastewater was unprocessed and did not require any prefiltration, prior spiking with virus, or viral concentration in order to be suitable for use with the biosensor. The prototype reported here is a reduced graphene oxide (rGO)-based biosensor for rapid, sensitive and selective detection of SARS-CoV-2. The biosensor achieved a limit of detection (LOD) of 0.5 fg/mL in phosphate-buffered saline (PBS) and exhibited specificity when exposed to various analytes. The response time was measured to be around 240 ms. To further explore the capabilities of the biosensor in real clinical and municipal wastewater samples, three different tests were performed to determine the presence or absence of the virus: (i) qRT-PCR, (ii) a rapid antigen-based commercially available test (COVID-19 Test Strips), and (iii) the biosensor constructed and reported here. Taken together, our results demonstrate that a biosensor that can detect SARS-CoV-2 in clinical samples as well as unfiltered and unprocessed municipal wastewater is feasible.
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Affiliation(s)
- Dana Kadadou
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Lina Tizani
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Vijay S Wadi
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Fawzi Banat
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Habiba Alsafar
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Emirates Bio-research Center, Ministry of Interior, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Ahmed F Yousef
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Biology, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Shadi W Hasan
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
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13
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Eksin E, Erdem A. Recent Progress on Optical Biosensors Developed for Nucleic Acid Detection Related to Infectious Viral Diseases. MICROMACHINES 2023; 14:mi14020295. [PMID: 36837995 PMCID: PMC9966969 DOI: 10.3390/mi14020295] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/16/2023] [Accepted: 01/19/2023] [Indexed: 05/28/2023]
Abstract
Optical biosensors have many advantages over traditional analytical methods. They enable the identification of several biological and chemical compounds directly, instantly, and without the need of labels. Their benefits include excellent specificity, sensitivity, compact size, and low cost. In this review, the main focus is placed on the nucleic acid-based optical biosensor technologies, including colorimetric, fluorescence, surface plasmon resonance (SPR), Evanescent-Wave Optical, Fiber optic and bioluminescent optical fibre. The fundamentals of each type of biosensor are briefly explained, and particular emphasis has been placed on the achievements which have been gained in the last decade on the field of diagnosis of infectious viral diseases. Concluding remarks concerning the perspectives of further developments are discussed.
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Affiliation(s)
- Ece Eksin
- Biomedical Device Technology Program, Vocational School of Health Services, Izmir Democracy University, 35290 Izmir, Turkey
| | - Arzum Erdem
- Department of Analytical Chemistry, Faculty of Pharmacy, Ege University, 35100 Izmir, Turkey
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14
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Iqbal R, Khan S, Ali HM, Khan M, Wahab S, Khan T. Application of nanomaterials against SARS-CoV-2: An emphasis on their usefulness against emerging variants of concern. FRONTIERS IN NANOTECHNOLOGY 2022. [DOI: 10.3389/fnano.2022.1060756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Researchers are now looking to nanomaterials to fight serious infectious diseases that cause outbreaks and even pandemics. SARS-CoV-2 brought chaos to almost every walk of life in the past 2 years and has challenged every available treatment method. Although vaccines were developed in no time against it, the most pressing issue was the emergence of variants of concern arising because of the rapidly evolving viral strains. The higher pathogenicity and, in turn, the higher mortality rate of infections caused by these variants renders the existing vaccines less effective and the effort to produce further vaccines a costly endeavor. While several techniques, such as immunotherapy and repurposed pharmaceutical research, are being studied to minimize viral infection, the fundamentals of nanotechnology must also be considered to enhance the anti-SARS-CoV-2 efforts. For instance, silver nanoparticles (AgNPs) have been applied against SARS-CoV-2 effectively. Similarly, nanomaterials have been tested in masks, gloves, and disinfectants to aid in controlling SARS-CoV-2. Nanotechnology has also contributed to diagnoses such as rapid and accurate detection and treatment such as the delivery of mRNA vaccines and other antiviral agents into the body. The development of polymeric nanoparticles has been dubbed a strategy of choice over traditional drugs because of their tunable release kinetics, specificity, and multimodal drug composition. Our article explores the potential of nanomaterials in managing the variants of concern. This will be achieved by highlighting the inherent ability of nanomaterials to act against the virus on fronts such as inhibition of SARS-CoV-2 entry, inhibition of RNA replication in SARS-CoV-2, and finally, inhibition of their release. In this review, a detailed discussion on the potential of nanomaterials in these areas will be tallied with their potential against the current and emerging future variants of concern.
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15
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Park DH, Choi MY, Choi JH. Recent Development in Plasmonic Nanobiosensors for Viral DNA/RNA Biomarkers. BIOSENSORS 2022; 12:bios12121121. [PMID: 36551088 PMCID: PMC9776357 DOI: 10.3390/bios12121121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 05/28/2023]
Abstract
Recently, due to the coronavirus pandemic, the need for early diagnosis of infectious diseases, including viruses, is emerging. Though early diagnosis is essential to prevent infection and progression to severe illness, there are few technologies that accurately measure low concentrations of biomarkers. Plasmonic nanomaterials are attracting materials that can effectively amplify various signals, including fluorescence, Raman, and other optical and electromagnetic output. In this review, we introduce recently developed plasmonic nanobiosensors for measuring viral DNA/RNA as potential biomarkers of viral diseases. In addition, we discuss the future perspective of plasmonic nanobiosensors for DNA/RNA detection. This review is expected to help the early diagnosis and pathological interpretation of viruses and other diseases.
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16
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Xu M, Li Y, Lin C, Peng Y, Zhao S, Yang X, Yang Y. Recent Advances of Representative Optical Biosensors for Rapid and Sensitive Diagnostics of SARS-CoV-2. BIOSENSORS 2022; 12:bios12100862. [PMID: 36291001 PMCID: PMC9599922 DOI: 10.3390/bios12100862] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/01/2022] [Accepted: 10/01/2022] [Indexed: 05/04/2023]
Abstract
The outbreak of Corona Virus Disease 2019 (COVID-19) has again emphasized the significance of developing rapid and highly sensitive testing tools for quickly identifying infected patients. Although the current reverse transcription polymerase chain reaction (RT-PCR) diagnostic techniques can satisfy the required sensitivity and specificity, the inherent disadvantages with time-consuming, sophisticated equipment and professional operators limit its application scopes. Compared with traditional detection techniques, optical biosensors based on nanomaterials/nanostructures have received much interest in the detection of SARS-CoV-2 due to the high sensitivity, high accuracy, and fast response. In this review, the research progress on optical biosensors in SARS-CoV-2 diagnosis, including fluorescence biosensors, colorimetric biosensors, Surface Enhancement Raman Scattering (SERS) biosensors, and Surface Plasmon Resonance (SPR) biosensors, was comprehensively summarized. Further, promising strategies to improve optical biosensors are also explained. Optical biosensors can not only realize the rapid detection of SARS-CoV-2 but also be applied to judge the infectiousness of the virus and guide the choice of SARS-CoV-2 vaccines, showing enormous potential to become point-of-care detection tools for the timely control of the pandemic.
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Affiliation(s)
- Meimei Xu
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanyan Li
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chenglong Lin
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yusi Peng
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuai Zhao
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Graduate School of the Chinese Academy of Sciences, No.19(A) Yuquan Road, Beijing 100049, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiao Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong Yang
- State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, 1295 Dingxi Road, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence:
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17
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Borghei YS, Samadikhah HR, Hosseinkhani S. Exploitation of N-Gene of SARS-CoV-2 to Develop a New Rapid Assay by ASOs@AuNPs. Anal Chem 2022; 94:13616-13622. [PMID: 36130119 PMCID: PMC9514053 DOI: 10.1021/acs.analchem.2c03544] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 09/12/2022] [Indexed: 11/29/2022]
Abstract
A naked-eye (equipment-free), label-free (cost-effective), and RNA extraction-free (to speed up) method for SARS-CoV-2 (as a case study of RNA viruses) detection is developed. Here, the DNA is being used as a template for in situ formation of anisotropic gold nanoparticles (AuNPs) without any chemical modification or DNA labeling. In this study, synthesized AuNPs for the direct detection of N-gene (nucleocapsid phosphoprotein) of SARS-CoV-2 are exploited. To this aim, antisense oligonucleotides (ASOs) with an extra poly guanine tail (G12) were designed. Thus, in the presence of its viral target RNA gene and ASOs@AuNPs-RNA hybridization, there was a red shift in its localized surface plasmon resonance (LSPR), and the intensity of the LSPR peak at 690 nm of throat swab samples was compared to the threshold cycle (Ct) of a reverse-transcriptase real-time polymerase chain reaction (RT-qPCR) (as a gold standard). Results suggested that the plasmonic biosensor can detect a very low amount of SARS-CoV-2 with a detection limit close to RT-qPCR. Simplicity of the new conjugation method with hybridization and annealing without amplification and denaturation steps enabled it to perform in a microfluidic paper-based analytical device.
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Affiliation(s)
- Yasaman-Sadat Borghei
- Institute
for Convergent Science and Technology, Sharif
University of Technology, Tehran 11155-8639, Iran
| | - Hamid Reza Samadikhah
- Department
of Biology, Faculty of Sciences, Central Tehran Branch, Islamic Azad University, Tehran 19585-466, Iran
| | - Saman Hosseinkhani
- Department
of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran 14115-154, Iran
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18
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AuNP-based biosensors for the diagnosis of pathogenic human coronaviruses: COVID-19 pandemic developments. Anal Bioanal Chem 2022; 414:7069-7084. [PMID: 35781591 PMCID: PMC9251037 DOI: 10.1007/s00216-022-04193-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/17/2022] [Accepted: 06/21/2022] [Indexed: 12/15/2022]
Abstract
The outbreak rate of human coronaviruses (CoVs) especially highly pathogenic CoVs is increasing alarmingly. Early detection of these viruses allows treatment interventions to be provided more quickly to people at higher risk, as well as helping to identify asymptomatic carriers and isolate them as quickly as possible, thus preventing the disease transmission chain. The current diagnostic methods such as RT-PCR are not ideal due to high cost, low accuracy, low speed, and probability of false results. Therefore, a reliable and accurate method for the detection of CoVs in biofluids can become a front-line tool in order to deal with the spread of these deadly viruses. Currently, the nanomaterial-based sensing devices for detection of human coronaviruses from laboratory diagnosis to point-of-care (PoC) diagnosis are progressing rapidly. Gold nanoparticles (AuNPs) have revolutionized the field of biosensors because of the outstanding optical and electrochemical properties. In this review paper, a detailed overview of AuNP-based biosensing strategies with the varied transducers (electrochemical, optical, etc.) and also different biomarkers (protein antigens and nucleic acids) was presented for the detection of human coronaviruses including SARS-CoV-2, SARS-CoV-1, and MERS-CoV and lowly pathogenic CoVs. The present review highlights the newest trends in the SARS-CoV-2 nanobiosensors from the beginning of the COVID-19 epidemic until 2022. We hope that the presented examples in this review paper convince readers that AuNPs are a suitable platform for the designing of biosensors.
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19
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Rodríguez Díaz C, Lafuente-Gómez N, Coutinho C, Pardo D, Alarcón-Iniesta H, López-Valls M, Coloma R, Milán-Rois P, Domenech M, Abreu M, Cantón R, Galán JC, Bocanegra R, Campos LA, Miranda R, Castellanos M, Somoza Á. Development of colorimetric sensors based on gold nanoparticles for SARS-CoV-2 RdRp, E and S genes detection. Talanta 2022; 243:123393. [PMID: 35325745 PMCID: PMC8923713 DOI: 10.1016/j.talanta.2022.123393] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 03/11/2022] [Accepted: 03/14/2022] [Indexed: 12/20/2022]
Abstract
We present a fast, reliable and easy to scale-up colorimetric sensor based on gold nanoparticles (AuNPs) to detect the sequences coding for the RdRp, E, and S proteins of SARS-CoV-2. The optimization of the system (so-called “the sensor”) includes the evaluation of different sizes of nanoparticles, sequences of oligonucleotides and buffers. It is stable for months without any noticeable decrease in its activity, allowing the detection of SARS-CoV-2 sequences by the naked eye in 15 min. The efficiency and selectivity of detection, in terms of significative colorimetric changes in the solution upon target recognition, are qualitatively (visually) and quantitatively (absorbance measurements) assessed using synthetic samples and samples derived from infected cells and patients. Furthermore, an easy and affordable amplification approach is implemented to increase the system's sensitivity for detecting high and medium viral loads (≥103 - 104 viral RNA copies/μl) in patient samples. The whole process (amplification and detection) takes 2.5 h. Due to the ease of use, stability and minimum equipment requirements, the proposed approach can be a valuable tool for the detection of SARS-CoV-2 at facilities with limited resources.
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20
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Abstract
In the last decade, there has been a rapid increase in the number of surface-enhanced Raman scattering (SERS) spectroscopy applications in medical research. In this article we review some recent, and in our opinion, most interesting and promising applications of SERS spectroscopy in medical diagnostics, including those that permit multiplexing within the range important for clinical samples. We focus on the SERS-based detection of markers of various diseases (or those whose presence significantly increases the chance of developing a given disease), and on drug monitoring. We present selected examples of the SERS detection of particular fragments of DNA or RNA, or of bacteria, viruses, and disease-related proteins. We also describe a very promising and elegant ‘lab-on-chip’ approach used to carry out practical SERS measurements via a pad whose action is similar to that of a pregnancy test. The fundamental theoretical background of SERS spectroscopy, which should allow a better understanding of the operation of the sensors described, is also briefly outlined. We hope that this review article will be useful for researchers planning to enter this fascinating field.
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21
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Cha H, Kim H, Joung Y, Kang H, Moon J, Jang H, Park S, Kwon HJ, Lee IC, Kim S, Yong D, Yoon SW, Park SG, Guk K, Lim EK, Park HG, Choo J, Jung J, Kang T. Surface-enhanced Raman scattering-based immunoassay for severe acute respiratory syndrome coronavirus 2. Biosens Bioelectron 2022; 202:114008. [PMID: 35086030 PMCID: PMC8770391 DOI: 10.1016/j.bios.2022.114008] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 02/07/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected humans worldwide for over a year now. Although various tests have been developed for the detection of SARS-CoV-2, advanced sensing methods are required for the diagnosis, screening, and surveillance of coronavirus disease 2019 (COVID-19). Here, we report a surface-enhanced Raman scattering (SERS)-based immunoassay involving an antibody pair, SERS-active hollow Au nanoparticles (NPs), and magnetic beads for the detection of SARS-CoV-2. The selected antibody pair against the SARS-CoV-2 antigen, along with the magnetic beads, facilitates the accurate direct detection of the virus. The hollow Au NPs exhibit strong, reproducible SERS signals, allowing sensitive quantitative detection of SARS-CoV-2. This assay had detection limits of 2.56 fg/mL for the SARS-CoV-2 antigen and 3.4 plaque-forming units/mL for the SARS-CoV-2 lysates. Furthermore, it facilitated the identification of SARS-CoV-2 in human nasopharyngeal aspirates and diagnosis of COVID-19 within 30 min using a portable Raman device. Thus, this assay can be potentially used for the diagnosis and prevention of COVID-19.
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Affiliation(s)
- Hyunjung Cha
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Hyeran Kim
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Hyunju Kang
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Jeong Moon
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea; Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Hyowon Jang
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Sohyun Park
- Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Hyung-Jun Kwon
- Functional Biomaterial Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, 56212, Republic of Korea
| | - In-Chul Lee
- Functional Biomaterial Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, 56212, Republic of Korea
| | - Sunjoo Kim
- Department of Laboratory Medicine, Gyeongsang National University College of Medicine, Jinju, 52828, Republic of Korea
| | - Dongeun Yong
- Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - Sun-Woo Yoon
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Sung-Gyu Park
- Nano-Bio Convergence Department, Korea Institute of Materials Science (KIMS), Changwon, 51508, Republic of Korea
| | - Kyeonghye Guk
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea
| | - Eun-Kyung Lim
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea; Department of Nanobiotechnology, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Hyun Gyu Park
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea.
| | - Juyeon Jung
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
| | - Taejoon Kang
- Bionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, Republic of Korea.
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22
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A review on corona virus disease 2019 (COVID-19): current progress, clinical features and bioanalytical diagnostic methods. Mikrochim Acta 2022; 189:103. [PMID: 35157153 PMCID: PMC8852957 DOI: 10.1007/s00604-022-05167-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 01/11/2022] [Indexed: 01/08/2023]
Abstract
A new epidemic of acute respiratory viral pneumonia was discovered in central China at the end of 2019. The disease was given the name coronavirus disease 2019 (COVID-19), and the virus that caused this disease was known as severe acute respiratory syndrome coronavirus (SARS-CoV-2). So far, diagnostic methods have been focused on (a) human antibody detection, (b) viral antigen detection and (c) viral gene detection, the latter using RT-PCR being the most accurate approach. In this paper, we present a summary of the COVID-19 pandemic, clinical features and epidemiology and pathogenesis. Also, we focus on the recent advances in bioanalytical diagnostic methods based on various techniques for SARS-CoV-2 sensing that have recently been published (2020–2021). Furthermore, we present the mechanisms, advantages and disadvantages of the most common biosensors for COVID-19 detection, which include optical, electrochemical and piezoelectric biosensors as well as wearable and smart nanobiosensors, immunosensors, aptasensors and genosensors.
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23
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Kadadou D, Tizani L, Wadi VS, Banat F, Alsafar H, Yousef AF, Barceló D, Hasan SW. Recent advances in the biosensors application for the detection of bacteria and viruses in wastewater. JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING 2022; 10:107070. [PMID: 34976725 PMCID: PMC8701687 DOI: 10.1016/j.jece.2021.107070] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 11/11/2021] [Accepted: 12/21/2021] [Indexed: 05/21/2023]
Abstract
The presence of disease-causing pathogens in wastewater can provide an excellent diagnostic tool for infectious diseases. Biosensors are far superior to conventional methods used for regular infection screening and surveillance testing. They are rapid, sensitive, inexpensive portable and carry no risk of exposure in their detection schemes. In this context, this review summarizes the most recently developed biosensors for the detection of bacteria and viruses in wastewater. The review also provides information on the new detection methods aimed at screening for SARS-CoV-2, which has now caused more than 4 million deaths. In addition, the review highlights the potential behind on-line and real-time detection of pathogens in wastewater pipelines. Most of the biosensors reported were not targeted to wastewater samples due to the complexity of the matrix. However, this review highlights on the performance factors of recently developed biosensors and discusses the importance of nanotechnology in amplifying the output signals, which in turn increases the accuracy and reliability of biosensors. Current research on the applicability of biosensors in wastewater promises a dramatic change to the conventional approach in the field of medical screening.
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Affiliation(s)
- Dana Kadadou
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Lina Tizani
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Vijay S Wadi
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Fawzi Banat
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Habiba Alsafar
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Emirates Bio-research center, Ministry of Interior, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Ahmed F Yousef
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemistry, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Damià Barceló
- Catalan Institute for Water Research (ICRA-CERCA), H2O Building, Scientific and Technological Park of the University of Girona, Emili Grahit 101, 17003 Girona, Spain
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Carrer de Jordi Girona 1826, 08034 Barcelona, Spain
| | - Shadi W Hasan
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
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24
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Gao J, Wang C, Wang C, Chu Y, Wang S, Sun MY, Ji H, Gao Y, Wang Y, Han Y, Song F, Liu H, Zhang Y, Han L. Poly-l-Lysine-Modified Graphene Field-Effect Transistor Biosensors for Ultrasensitive Breast Cancer miRNAs and SARS-CoV-2 RNA Detection. Anal Chem 2022; 94:1626-1636. [PMID: 35025203 PMCID: PMC8767657 DOI: 10.1021/acs.analchem.1c03786] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 01/04/2022] [Indexed: 11/29/2022]
Abstract
(Mi)RNAs are important biomarkers for cancers diagnosis and pandemic diseases, which require fast, ultrasensitive, and economical detection strategies to quantitatively detect exact (mi)RNAs expression levels. The novel coronavirus disease (SARS-CoV-2) has been breaking out globally, and RNA detection is the most effective way to identify the SARS-CoV-2 virus. Here, we developed an ultrasensitive poly-l-lysine (PLL)-functionalized graphene field-effect transistor (PGFET) biosensor for breast cancer miRNAs and viral RNA detection. PLL is functionalized on the channel surface of GFET to immobilize DNA probes by the electrostatic force. The results show that PGFET biosensors can achieve a (mi)RNA detection range of five orders with a detection limit of 1 fM and an entire detection time within 20 min using 2 μL of human serum and throat swab samples, which exhibits more than 113% enhancement in terms of sensitivity compared to that of GFET biosensors. The performance enhancement mechanisms of PGFET biosensors were comprehensively studied based on an electrical biosensor theoretical model and experimental results. In addition, the PGFET biosensor was applied for the breast cancer miRNA detection in actual serum samples and SARS-CoV-2 RNA detection in throat swab samples, providing a promising approach for rapid cancer diagnosis and virus screening.
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Affiliation(s)
- Jianwei Gao
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Chunhua Wang
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Chao Wang
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Yujin Chu
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Shun Wang
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Ming yuan Sun
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Hao Ji
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Yakun Gao
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Yanhao Wang
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Yingkuan Han
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Fangteng Song
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Hong Liu
- State
Key Laboratory of Crystal Materials, Shandong
University, Jinan, Shandong 250100, China
| | - Yu Zhang
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
| | - Lin Han
- Institute
of Marine Science and Technology, Shandong
University, Qingdao 266237, China
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25
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Chen Y, Huang S, Zhou L, Wang X, Yang H, Li W. Coronavirus Disease 2019 (COVID-19): Emerging detection technologies and auxiliary analysis. J Clin Lab Anal 2022; 36:e24152. [PMID: 34894011 PMCID: PMC8761422 DOI: 10.1002/jcla.24152] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 11/09/2021] [Accepted: 11/18/2021] [Indexed: 12/11/2022] Open
Abstract
The ongoing COVID-19 pandemic constitutes a new challenge for public health. Prevention and control of infection have become urgent and serious issues. To meet the clinical demand for higher accuracy of COVID-19 detection, the development of fast and efficient methods represents an important step. The most common methods of COVID-19 diagnosis, relying on real-time fluorescent quantitative PCR(RT-qPCR), computed tomography, and new-generation sequencing technologies, have a series of advantages, especially for early diagnosis and screening. In addition, joint efforts of researchers all over the world have led to the development of other rapid detection methods with high sensitivity, ease of use, cost-effectiveness, or allowing multiplex analysis based on technologies such as dPCR, ELISA, fluorescence immunochromatography assay, and the microfluidic detection chip method. The main goal of this review was to provide a critical discussion on the development and application of these different analytical methods, which based on etiology, serology, and molecular biology, as well as to compare their respective advantages and disadvantages. In addition to these methods, hematology and biochemistry, as well as auxiliary analysis based on pathological anatomy, ultrasonography, and cytokine detection, will help understand COVID-19 pathogenesis. Together, these technologies may promote and open new windows to unravel issues surrounding symptomatic and asymptomatic COVID-19 infections and improve clinical strategies toward reducing mortality.
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Affiliation(s)
- Ying Chen
- School of Medical Technology, Xuzhou Medical University, Xuzhou, China
| | - Shengxiong Huang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, China
| | - Liuyan Zhou
- School of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Xin Wang
- Centralized and Point of Care Solutions & Molecular Diagnostics, Roche Diagnostics (Shanghai) Limited, Shanghai, China
| | - Huan Yang
- School of Medical Technology, Xuzhou Medical University, Xuzhou, China
| | - Wenqing Li
- School of Medical Technology, Xuzhou Medical University, Xuzhou, China
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26
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Harun-Ur-Rashid M, Foyez T, Jahan I, Pal K, Imran AB. Rapid diagnosis of COVID-19 via nano-biosensor-implemented biomedical utilization: a systematic review. RSC Adv 2022; 12:9445-9465. [PMID: 35424900 PMCID: PMC8959446 DOI: 10.1039/d2ra01293f] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 03/04/2022] [Indexed: 12/14/2022] Open
Abstract
The novel human coronavirus pandemic is one of the most significant occurrences in human civilization. The rapid proliferation and mutation of Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) have created an exceedingly challenging situation throughout the world's healthcare systems ranging from underdeveloped countries to super-developed countries. The disease is generally recognized as coronavirus disease 2019 (COVID-19), and it is caused by a new human CoV, which has put mankind in jeopardy. COVID-19 is death-dealing and affects people of all ages, including the elderly and middle-aged people, children, infants, persons with co-morbidities, and immunocompromised patients. Moreover, multiple SARS-CoV-2 variants have evolved as a result of genetic alteration. Some variants cause severe symptoms in patients, while others cause an unusually high infection rate, and yet others cause extremely severe symptoms as well as a high infection rate. Contrasting with a previous epidemic, COVID-19 is more contagious since the spike protein of SARS-CoV-2 demonstrates profuse affection to angiotensin-converting enzyme II (ACE2) that is copiously expressed on the surface of human lung cells. Since the estimation and tracking of viral loads are essential for determining the infection stage and recovery duration, a quick, accurate, easy, cheap, and versatile diagnostic tool is critical for managing COVID-19, as well as for outbreak control. Currently, Reverse Transcription Polymerase Chain Reaction (RT-PCR) testing is the most often utilized approach for COVID-19 diagnosis, while Computed Tomography (CT) scans of the chest are used to assess the disease's stages. However, the RT-PCR method is non-portable, tedious, and laborious, and the latter is not capable of detecting the preliminary stage of infection. In these circumstances, nano-biosensors can play an important role to deliver point-of-care diagnosis for a variety of disorders including a wide variety of viral infections rapidly, economically, precisely, and accurately. New technologies are being developed to overcome the drawbacks of the current methods. Nano-biosensors comprise bioreceptors with electrochemical, optical, or FET-based transduction for the specific detection of biomarkers. Different types of organic–inorganic nanomaterials have been incorporated for designing, fabricating, and improving the performance and analytical ability of sensors by increasing sensitivity, adsorption, and biocompatibility. The particular focus of this review is to carry out a systematic study of the status and perspectives of synthetic routes for nano-biosensors, including their background, composition, fabrication processes, and prospective applications in the diagnosis of COVID-19. This review will focus on the rapid, selective, accurate, easy, affordable, versatile, and point-of-care diagnosis of COVID-19 using electrochemical, optical, magnetic, aptameric, and plasmonic nano-biosensors.![]()
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Affiliation(s)
- Mohammad Harun-Ur-Rashid
- Department of Chemistry, International University of Business Agriculture and Technology, Dhaka, 1230, Bangladesh
| | - Tahmina Foyez
- Department of Pharmaceutical Sciences, School of Health and Life Sciences, North South University, Dhaka, 1229, Bangladesh
| | - Israt Jahan
- Department of Cell Physiology, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Kaushik Pal
- University Centre for Research and Development (UCRD), Department of Physics, Chandigarh University, Punjab, 140413, India
| | - Abu Bin Imran
- Department of Chemistry, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh
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27
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From lab to field: Surface-enhanced Raman scattering-based sensing strategies for on-site analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2021.116488] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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28
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Wang Z, Chen J, Khan SA, Li F, Shen J, Duan Q, Liu X, Zhu J. Plasmonic Metasurfaces for Medical Diagnosis Applications: A Review. SENSORS (BASEL, SWITZERLAND) 2021; 22:133. [PMID: 35009676 PMCID: PMC8747222 DOI: 10.3390/s22010133] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 12/23/2021] [Accepted: 12/23/2021] [Indexed: 05/25/2023]
Abstract
Plasmonic metasurfaces have been widely used in biosensing to improve the interaction between light and biomolecules through the effects of near-field confinement. When paired with biofunctionalization, plasmonic metasurface sensing is considered as a viable strategy for improving biomarker detection technologies. In this review, we enumerate the fundamental mechanism of plasmonic metasurfaces sensing and present their detection in human tumors and COVID-19. The advantages of rapid sampling, streamlined processes, high sensitivity, and easy accessibility are highlighted compared with traditional detection techniques. This review is looking forward to assisting scientists in advancing research and developing a new generation of multifunctional biosensors.
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Affiliation(s)
- Zhenbiao Wang
- Key Laboratory of Electromagnetic Wave Science and Detection Technology, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China; (Z.W.); (S.A.K.); (F.L.); (J.S.); (Q.D.); (X.L.)
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
| | - Junjie Chen
- Analysis and Measurement Center, School of Pharmaceutical Science, Xiamen University, Xiamen 361003, China;
| | - Sayed Ali Khan
- Key Laboratory of Electromagnetic Wave Science and Detection Technology, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China; (Z.W.); (S.A.K.); (F.L.); (J.S.); (Q.D.); (X.L.)
| | - Fajun Li
- Key Laboratory of Electromagnetic Wave Science and Detection Technology, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China; (Z.W.); (S.A.K.); (F.L.); (J.S.); (Q.D.); (X.L.)
| | - Jiaqing Shen
- Key Laboratory of Electromagnetic Wave Science and Detection Technology, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China; (Z.W.); (S.A.K.); (F.L.); (J.S.); (Q.D.); (X.L.)
| | - Qilin Duan
- Key Laboratory of Electromagnetic Wave Science and Detection Technology, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China; (Z.W.); (S.A.K.); (F.L.); (J.S.); (Q.D.); (X.L.)
| | - Xueying Liu
- Key Laboratory of Electromagnetic Wave Science and Detection Technology, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China; (Z.W.); (S.A.K.); (F.L.); (J.S.); (Q.D.); (X.L.)
| | - Jinfeng Zhu
- Key Laboratory of Electromagnetic Wave Science and Detection Technology, Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China; (Z.W.); (S.A.K.); (F.L.); (J.S.); (Q.D.); (X.L.)
- State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
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29
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Daoudi K, Ramachandran K, Alawadhi H, Boukherroub R, Dogheche E, Khakani MAE, Gaidi M. Ultra-sensitive and fast optical detection of the spike protein of the SARS-CoV-2 using AgNPs/SiNWs nanohybrid based sensors. SURFACES AND INTERFACES 2021; 27:101454. [PMID: 34957346 PMCID: PMC8440322 DOI: 10.1016/j.surfin.2021.101454] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/29/2021] [Accepted: 08/31/2021] [Indexed: 05/18/2023]
Abstract
Severe acute respiratory syndrome SARS-CoV-2 virus led to notable challenges amongst researchers in view of development of new and fast detecting techniques. In this regard, surface-enhanced Raman spectroscopy (SERS) technique, providing a fingerprint characteristic for each material, would be an interesting approach. The current study encompasses the fabrication of a SERS sensor to study the SARS-CoV-2 S1 (RBD) spike protein of the SARS-CoV-2 virus family. The SERS sensor consists of a silicon nanowires (SiNWs) substrate decorated with plasmonic silver nanoparticles (AgNPs). Both SiNWs fabrication and AgNPs decoration were achieved by a relatively simple wet chemical processing method. The study deliberately projects the factors that influence the growth of silicon nanowires, uniform decoration of AgNPs onto the SiNWs matrix along with detection of Rhodamine-6G (R6G) to optimize the best conditions for enhanced sensing of the spike protein. Increasing the time period of etching process resulted in enhanced SiNWs' length from 0.55 to 7.34 µm. Furthermore, the variation of the immersion time in the decoration process of AgNPs onto SiNWs ensued the optimum time period for the enhancement in the sensitivity of detection. Tremendous increase in sensitivity of R6G detection was perceived on SiNWs etched for 2 min (length=0.90 µm), followed by 30s of immersion time for their optimal decoration by AgNPs. These SiNWs/AgNPs SERS-based sensors were able to detect the spike protein at a concentration down to 9.3 × 10-12 M. Strong and dominant peaks at 1280, 1404, 1495, 1541 and 1609 cm-1 were spotted at a fraction of a minute. Moreover, direct, ultra-fast, facile, and affordable optoelectronic SiNWs/AgNPs sensors tuned to function as a biosensor for detecting the spike protein even at a trace level (pico molar concentration). The current findings hold great promise for the utilization of SERS as an innovative approach in the diagnosis domain of infections at very early stages.
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Affiliation(s)
- Kais Daoudi
- Centre for Advanced Materials Research, Research Institute of Sciences and Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Applied Physics and Astronomy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Laboratory of Nanomaterials, Nanotechnology and Energy, Department of Physics, Faculty of Sciences of Tunis, University of Tunis, El Manar, El Manar, Tunis 2092, Tunisia
| | - Krithikadevi Ramachandran
- Department of Applied Physics and Astronomy, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Hussain Alawadhi
- Centre for Advanced Materials Research, Research Institute of Sciences and Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Applied Physics and Astronomy, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Rabah Boukherroub
- CNRS, Centrale Lille, Univ. Polytechnique Hauts-de-France, UMR 8520, IEMN, University of Lille, Lille 59000, France
| | - Elhadj Dogheche
- Université Polytechnique Hauts de France, IEMN DOAE CNRS, Campus Le Mont Houy, Valenciennes Cedex 59309, France
| | - My Ali El Khakani
- Institut National de la Recherche Scientifique, INRS-Énergie, Matériaux et Télécommunications, 1650, Blvd. Lionel-Boulet, Varennes, QC J3X-1S2, Canada
| | - Mounir Gaidi
- Centre for Advanced Materials Research, Research Institute of Sciences and Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates
- Department of Applied Physics and Astronomy, University of Sharjah, Sharjah 27272, United Arab Emirates
- Laboratoire de Photovoltaïque Centre de Recherches et des Technologies de l'Energie, Technopole de Borj-Cédria, BP 95, Hammam-Lif 2050, Tunisia
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30
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Sharma A, Mishra RK, Goud KY, Mohamed MA, Kummari S, Tiwari S, Li Z, Narayan R, Stanciu LA, Marty JL. Optical Biosensors for Diagnostics of Infectious Viral Disease: A Recent Update. Diagnostics (Basel) 2021; 11:2083. [PMID: 34829430 PMCID: PMC8625106 DOI: 10.3390/diagnostics11112083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 10/26/2021] [Accepted: 11/05/2021] [Indexed: 12/15/2022] Open
Abstract
The design and development of biosensors, analytical devices used to detect various analytes in different matrices, has emerged. Biosensors indicate a biorecognition element with a physicochemical analyzer or detector, i.e., a transducer. In the present scenario, various types of biosensors have been deployed in healthcare and clinical research, for instance, biosensors for blood glucose monitoring. Pathogenic microbes are contributing mediators of numerous infectious diseases that are becoming extremely serious worldwide. The recent outbreak of COVID-19 is one of the most recent examples of such communal and deadly diseases. In efforts to work towards the efficacious treatment of pathogenic viral contagions, a fast and precise detection method is of the utmost importance in biomedical and healthcare sectors for early diagnostics and timely countermeasures. Among various available sensor systems, optical biosensors offer easy-to-use, fast, portable, handy, multiplexed, direct, real-time, and inexpensive diagnosis with the added advantages of specificity and sensitivity. Many progressive concepts and extremely multidisciplinary approaches, including microelectronics, microelectromechanical systems (MEMSs), nanotechnologies, molecular biology, and biotechnology with chemistry, are used to operate optical biosensors. A portable and handheld optical biosensing device would provide fast and reliable results for the identification and quantitation of pathogenic virus particles in each sample. In the modern day, the integration of intelligent nanomaterials in the developed devices provides much more sensitive and highly advanced sensors that may produce the results in no time and eventually help clinicians and doctors enormously. This review accentuates the existing challenges engaged in converting laboratory research to real-world device applications and optical diagnostics methods for virus infections. The review's background and progress are expected to be insightful to the researchers in the sensor field and facilitate the design and fabrication of optical sensors for life-threatening viruses with broader applicability to any desired pathogens.
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Affiliation(s)
- Atul Sharma
- Department of Pharmaceutical Chemistry, SGT College of Pharmacy, SGT University, Budhera, Gurugram 122505, Haryana, India
| | - Rupesh Kumar Mishra
- Bindley Bio-Science Center, Lab 222, 1203 W. State St., Purdue University, West Lafayette, IN 47907, USA
- School of Materials Engineering, Purdue University, 701 West Stadium Avenue, West Lafayette, IN 47907, USA
| | - K Yugender Goud
- Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Mona A Mohamed
- Pharmaceutical Chemistry Department, National Organization for Drug Control and Research (NODCAR), Egyptian Drug Authority, Giza 99999, Egypt
| | - Shekher Kummari
- Department of Chemistry, National Institute of Technology, Warangal 506004, Telangana, India
| | - Swapnil Tiwari
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur 492010, Chattisgarh, India
| | - Zhanhong Li
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Yangpu District, Shanghai 200093, China
| | - Roger Narayan
- Department of Materials Science and Engineering, NC State University, Raleigh, NC 27695, USA
- Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, USA
| | - Lia A Stanciu
- School of Materials Engineering, Purdue University, 701 West Stadium Avenue, West Lafayette, IN 47907, USA
| | - Jean Louis Marty
- BAE-LBBM Laboratory, University of Perpignan via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, France
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31
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Zayani R, Rezig D, Fares W, Marrakchi M, Essafi M, Raouafi N. Multiplexed Magnetofluorescent Bioplatform for the Sensitive Detection of SARS-CoV-2 Viral RNA without Nucleic Acid Amplification. Anal Chem 2021; 93:11225-11232. [PMID: 34338520 PMCID: PMC8353888 DOI: 10.1021/acs.analchem.1c01950] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 07/23/2021] [Indexed: 12/26/2022]
Abstract
Rapid and sensitive detection of SARS-CoV-2 virus genetic material is of paramount importance to mitigate the COVID-19 pandemic outbreak and lower the death toll. Herein, we report the design of a magnetofluorescent bioplatform for the direct and specific detection of the viral RNA of SARS-CoV-2 in the total RNA extracted from nasopharyngeal swabs of COVID-19-positive patients. A higher fluorescence response was achieved using two capture probes tethered to magnetic beads using a biotin/streptavidin linkage, targeting two specific sites in the ORF1a and S genes. Two horseradish peroxidase (HRP)-conjugated reporter sequences, complementary to the loci of the S and N genes, were used to reveal the presence of the viral RNA through the oxidation of o-phenylenediamine to fluorescent 2,3-diaminophenazine. Under optimal conditions, the bioplatform showed high selectivity and sensitivity and was able to detect as low as 0.01 ng of viral RNA (1 × 103 copies/μL) with a linear dynamic range varying from 0.01 to 3.0 ng (1 × 103 to 9 × 107 copies/μL). The bioplatform was also able to discriminate the SARS-CoV-2 RNA from those of other related viruses such as hepatitis C, West Nile, measles, and non-polio viruses. Furthermore, the developed biosensor was validated in 46 clinical samples (36 COVID-19-positive patients and 10 COVID-19-negative subjects, as assessed with the gold standard RT-qPCR method). Both sensitivity and specificity of the developed method reached 100%. Finally, making such a simple and specific method available in the field, at a primary point of care, can better help the detection of SARS-CoV-2 infection in low-resource settings.
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Affiliation(s)
- Riham Zayani
- Sensors
and Biosensors Group, Laboratory of Analytical Chemistry & Electrochemistry
(LR99ES15), Faculty of Science, University
of Tunis El Manar, 2092 Tunis, Tunisia
| | - Dorra Rezig
- Laboratory
of Clinical Virology, WHO Reference Laboratory for Poliomyelitis and
Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University of Tunis El Manar, 1068 Tunis, Tunisia
- Research
Laboratory “Virus, Vectors and Hosts: One Health Approach and
Technological Innovation for a Better Health”, LR20IPT02, Pasteur Institute of Tunis, 1006 Tunis, Tunisia
| | - Wasfi Fares
- Laboratory
of Clinical Virology, WHO Reference Laboratory for Poliomyelitis and
Measles in the Eastern Mediterranean Region, Pasteur Institute of Tunis, University of Tunis El Manar, 1068 Tunis, Tunisia
- Research
Laboratory “Virus, Vectors and Hosts: One Health Approach and
Technological Innovation for a Better Health”, LR20IPT02, Pasteur Institute of Tunis, 1006 Tunis, Tunisia
| | - Mouna Marrakchi
- Sensors
and Biosensors Group, Laboratory of Analytical Chemistry & Electrochemistry
(LR99ES15), Faculty of Science, University
of Tunis El Manar, 2092 Tunis, Tunisia
| | - Makram Essafi
- Laboratory
Transmission, Control and Immunobiology of Infections (LTCII, LR11
IPT02), Pasteur Institute of Tunis, 1002 Tunis, Tunisia
| | - Noureddine Raouafi
- Sensors
and Biosensors Group, Laboratory of Analytical Chemistry & Electrochemistry
(LR99ES15), Faculty of Science, University
of Tunis El Manar, 2092 Tunis, Tunisia
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