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Liu Y, Li Y, Hang Y, Wang L, Wang J, Bao N, Kim Y, Jang HW. Rapid assays of SARS-CoV-2 virus and noble biosensors by nanomaterials. NANO CONVERGENCE 2024; 11:2. [PMID: 38190075 PMCID: PMC10774473 DOI: 10.1186/s40580-023-00408-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024]
Abstract
The COVID-19 outbreak caused by SARS-CoV-2 in late 2019 has spread rapidly across the world to form a global epidemic of respiratory infectious diseases. Increased investigations on diagnostic tools are currently implemented to assist rapid identification of the virus because mass and rapid diagnosis might be the best way to prevent the outbreak of the virus. This critical review discusses the detection principles, fabrication techniques, and applications on the rapid detection of SARS-CoV-2 with three categories: rapid nuclear acid augmentation test, rapid immunoassay test and biosensors. Special efforts were put on enhancement of nanomaterials on biosensors for rapid, sensitive, and low-cost diagnostics of SARS-CoV-2 virus. Future developments are suggested regarding potential candidates in hospitals, clinics and laboratories for control and prevention of large-scale epidemic.
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Affiliation(s)
- Yang Liu
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yilong Li
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Yuteng Hang
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Lei Wang
- NantongEgens Biotechnology Co., LTD, Nantong, 226019, Jiangsu, People's Republic of China
| | - Jinghan Wang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea
| | - Ning Bao
- School of Public Health, Nantong University, Nantong, 226019, Jiangsu, People's Republic of China
| | - Youngeun Kim
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Ho Won Jang
- Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
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2
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Ferreira MFS, Brambilla G, Thévenaz L, Feng X, Zhang L, Sumetsky M, Jones C, Pedireddy S, Vollmer F, Dragic PD, Henderson-Sapir O, Ottaway DJ, Strupiechonski E, Hernandez-Cardoso GG, Hernandez-Serrano AI, González FJ, Castro Camus E, Méndez A, Saccomandi P, Quan Q, Xie Z, Reinhard BM, Diem M. Roadmap on optical sensors. JOURNAL OF OPTICS (2010) 2024; 26:013001. [PMID: 38116399 PMCID: PMC10726224 DOI: 10.1088/2040-8986/ad0e85] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 06/09/2023] [Accepted: 11/21/2023] [Indexed: 12/21/2023]
Abstract
Optical sensors and sensing technologies are playing a more and more important role in our modern world. From micro-probes to large devices used in such diverse areas like medical diagnosis, defence, monitoring of industrial and environmental conditions, optics can be used in a variety of ways to achieve compact, low cost, stand-off sensing with extreme sensitivity and selectivity. Actually, the challenges to the design and functioning of an optical sensor for a particular application requires intimate knowledge of the optical, material, and environmental properties that can affect its performance. This roadmap on optical sensors addresses different technologies and application areas. It is constituted by twelve contributions authored by world-leading experts, providing insight into the current state-of-the-art and the challenges their respective fields face. Two articles address the area of optical fibre sensors, encompassing both conventional and specialty optical fibres. Several other articles are dedicated to laser-based sensors, micro- and nano-engineered sensors, whispering-gallery mode and plasmonic sensors. The use of optical sensors in chemical, biological and biomedical areas is discussed in some other papers. Different approaches required to satisfy applications at visible, infrared and THz spectral regions are also discussed.
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Affiliation(s)
| | | | | | - Xian Feng
- Jiangsu Normal University, People’s Republic of China
| | - Lei Zhang
- Zhejiang University, People’s Republic of China
| | - Misha Sumetsky
- Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom
| | - Callum Jones
- Department of Physics and Astronomy, Living Systems Institute, University of Exeter, United Kingdom
| | - Srikanth Pedireddy
- Department of Physics and Astronomy, Living Systems Institute, University of Exeter, United Kingdom
| | - Frank Vollmer
- Department of Physics and Astronomy, Living Systems Institute, University of Exeter, United Kingdom
| | - Peter D Dragic
- University of Illinois at Urbana-Champaign, United States of America
| | - Ori Henderson-Sapir
- Department of Physics and Institute of Photonics and Advanced Sensing, The University of Adelaide, SA, Australia
- OzGrav, University of Adelaide, Adelaide, SA, Australia
- Mirage Photonics, Oaklands Park, SA, Australia
| | - David J Ottaway
- Department of Physics and Institute of Photonics and Advanced Sensing, The University of Adelaide, SA, Australia
- OzGrav, University of Adelaide, Adelaide, SA, Australia
| | | | | | | | | | | | | | - Paola Saccomandi
- Department of Mechanical Engineering, Politecnico di Milano, Italy
| | - Qimin Quan
- NanoMosaic Inc., United States of America
| | - Zhongcong Xie
- Massachusetts General Hospital and Harvard Medical School, United States of America
| | - Björn M Reinhard
- Department of Chemistry and The Photonics Center, Boston University, United States of America
| | - Max Diem
- Northeastern University and CIRECA LLC, United States of America
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3
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Ramalingam M, Jaisankar A, Cheng L, Krishnan S, Lan L, Hassan A, Sasmazel HT, Kaji H, Deigner HP, Pedraz JL, Kim HW, Shi Z, Marrazza G. Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses. DISCOVER NANO 2023; 18:58. [PMID: 37032711 PMCID: PMC10066940 DOI: 10.1186/s11671-023-03842-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensitivity remains an issue. Therefore, the development of better diagnostic tools that facilitate the more efficient detection of viruses and other pathogens has become important. Nanotechnology has been recognized as a powerful tool for the detection of viruses, and it is expected to change the landscape of virus detection and analysis. Recently, nanomaterials have gained enormous attention for their value in improving biosensor performance owing to their high surface-to-volume ratio and quantum size effects. This article reviews the impact of nanotechnology on the design, development, and performance of sensors for the detection of viruses. Special attention has been paid to nanoscale materials, various types of nanobiosensors, the internet of medical things, and artificial intelligence-based viral diagnostic techniques.
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Affiliation(s)
- Murugan Ramalingam
- School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
- Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, 31116 Republic of Korea
- Department of Nanobiomedical Science, Dankook University, Cheonan, 31116 Republic of Korea
- BK21 NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 31116 Republic of Korea
- Mechanobiology Dental Medicine Research Center, Dankook University, Cheonan, 31116 Republic of Korea
- UCL Eastman-Korea Dental Medicine Innovation Centre, Dankook University, Cheonan, 31116 South Korea
- Department of Metallurgical and Materials Engineering, Faculty of Engineering, Atilim University, 06836 Ankara, Turkey
| | - Abinaya Jaisankar
- Centre for Biomaterials, Cellular and Molecular Theranostics, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014 India
| | - Lijia Cheng
- School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Sasirekha Krishnan
- Centre for Biomaterials, Cellular and Molecular Theranostics, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014 India
| | - Liang Lan
- School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Anwarul Hassan
- Department of Mechanical and Industrial Engineering, Biomedical Research Center, Qatar University, 2713, Doha, Qatar
| | - Hilal Turkoglu Sasmazel
- Department of Metallurgical and Materials Engineering, Faculty of Engineering, Atilim University, 06836 Ankara, Turkey
| | - Hirokazu Kaji
- Department of Biomechanics, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo, 101-0062 Japan
| | - Hans-Peter Deigner
- Institute of Precision Medicine, Medical and Life Sciences Faculty, Furtwangen University, 78054 Villingen-Schwenningen, Germany
| | - Jose Luis Pedraz
- NanoBioCel Group, Laboratory of Pharmaceutics, School of Pharmacy, University of the Basque Country, 01006 Vitoria-Gasteiz, Spain
- Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine, 28029 Madrid, Spain
| | - Hae-Won Kim
- Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, 31116 Republic of Korea
- Department of Nanobiomedical Science, Dankook University, Cheonan, 31116 Republic of Korea
- BK21 NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 31116 Republic of Korea
- Mechanobiology Dental Medicine Research Center, Dankook University, Cheonan, 31116 Republic of Korea
- UCL Eastman-Korea Dental Medicine Innovation Centre, Dankook University, Cheonan, 31116 South Korea
| | - Zheng Shi
- School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Giovanna Marrazza
- Department of Chemistry “Ugo Schiff”, University of Florence, 50019 Sesto Fiorentino, Florence, Italy
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Rakhimbekova A, Kudaibergenov B, Seitkamal K, Bellone A, Dauletova A, Sypabekova M, Olivero M, Perrone G, Radaelli A, Zanotto C, De Giuli Morghen C, Vangelista L, Tosi D. Rapid detection of vaccinia virus using biofunctionalized fiber-optic ball-tip biosensors. Sci Rep 2023; 13:17470. [PMID: 37838808 PMCID: PMC10576743 DOI: 10.1038/s41598-023-44926-6] [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: 07/27/2023] [Accepted: 10/13/2023] [Indexed: 10/16/2023] Open
Abstract
In this work, we present the development and biofunctionalization of a fiber-optic ball-resonator biosensor for the real-time detection of vaccinia poxvirus. We fabricated several ball-tip resonators, functionalized through a silanization process to immobilize two bioreceptors: the monoclonal anti-L1R antibody targeting the L1R protein, and the polyclonal rabbit serum antibodies targeting the whole vaccinia virus (VV) pathogen. Experimental measurements were carried out to detect VV in concentrations from 103 to 108 plaque-forming units (PFU), with a limit of detection of around 1.7-4.3 × 103 PFU and a log-quadratic pattern, with a response up to 5 × 10-4 RIU (refractive index units). The specificity was assessed against herpes simplex virus, used as a non-specific control, with the best results obtained with anti-L1R monoclonal antibodies, and through the detection of vaccinia virus/herpes simplex-1 combination. The obtained results provide a real-time viral recognition with a label-free sensing platform, having rapid response and ease of manufacturing, and paving the road to the seamless detection of poxviruses affecting different human and animal species using optical fibers.
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Affiliation(s)
- Aida Rakhimbekova
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Baizak Kudaibergenov
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Kuanysh Seitkamal
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Aurora Bellone
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Ayazhan Dauletova
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan
| | - Marzhan Sypabekova
- Department of Electrical & Computer Engineering, Baylor University, Waco, TX, USA
| | - Massimo Olivero
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Guido Perrone
- Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
| | - Antonia Radaelli
- Department of Medical Biotechnologies and Translational Medicine, Laboratory of Molecular Virology and Recombinant Vaccine Development, University of Milan, Via Vanvitelli 32, Milan, Italy
- Catholic University "Our Lady of Good Counsel", Rr. Dritan Hoxha, Tirana, Albania
| | - Carlo Zanotto
- Department of Medical Biotechnologies and Translational Medicine, Laboratory of Molecular Virology and Recombinant Vaccine Development, University of Milan, Via Vanvitelli 32, Milan, Italy
| | | | - Luca Vangelista
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, 010000, Astana, Kazakhstan
- Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy
| | - Daniele Tosi
- Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, 010000, Astana, Kazakhstan.
- Laboratory of Biosensors and Bioinstruments, National Laboratory Astana, 010000, Astana, Kazakhstan.
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5
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Muhsin SA, He Y, Al-Amidie M, Sergovia K, Abdullah A, Wang Y, Alkorjia O, Hulsey RA, Hunter GL, Erdal ZK, Pletka RJ, George HS, Wan XF, Almasri M. A microfluidic biosensor architecture for the rapid detection of COVID-19. Anal Chim Acta 2023; 1275:341378. [PMID: 37524456 PMCID: PMC10251744 DOI: 10.1016/j.aca.2023.341378] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 05/15/2023] [Indexed: 08/02/2023]
Abstract
The lack of enough diagnostic capacity to detect severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) has been one of the major challenges in the control the 2019 COVID pandemic; this led to significant delay in prompt treatment of COVID-19 patients or accurately estimate disease situation. Current methods for the diagnosis of SARS-COV-2 infection on clinical specimens (e.g. nasal swabs) include polymerase chain reaction (PCR) based methods, such as real-time reverse transcription (rRT) PCR, real-time reverse transcription loop-mediated isothermal amplification (rRT-LAMP), and immunoassay based methods, such as rapid antigen test (RAT). These conventional PCR methods excel in sensitivity and specificity but require a laboratory setting and typically take up to 6 h to obtain the results whereas RAT has a low sensitivity (typically at least 3000 TCID50/ml) although with the results with 15 min. We have developed a robust micro-electro-mechanical system (MEMS) based impedance biosensor fit for rapid and accurate detection of SARS-COV-2 of clinical samples in the field with minimal training. The biosensor consisted of three regions that enabled concentrating, trapping, and sensing the virus present in low quantities with high selectivity and sensitivity in 40 min using an electrode coated with a specific SARS-COV-2 antibody cross-linker mixture. Changes in the impedance value due to the binding of the SARS-COV-2 antigen to the antibody will indicate positive or negative result. The testing results showed that the biosensor's limit of detection (LoD) for detection of inactivated SARS-COV-2 antigen in phosphate buffer saline (PBS) was as low as 50 TCID50/ml. The biosensor specificity was confirmed using the influenza virus while the selectivity was confirmed using influenza polyclonal sera. Overall, the results showed that the biosensor is able to detect SARS-COV-2 in clinical samples (swabs) in 40 min with a sensitivity of 26 TCID50/ml.
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Affiliation(s)
- Sura A Muhsin
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA
| | - Ying He
- Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO, 65211, USA; Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA; Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Muthana Al-Amidie
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA
| | - Karen Sergovia
- Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO, 65211, USA; Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA; Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Amjed Abdullah
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA
| | - Yang Wang
- Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO, 65211, USA; Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA; Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Omar Alkorjia
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA
| | - Robert A Hulsey
- Black and Veatch, 11401 Lamar, Overland Park, KS, 66211, USA
| | - Gary L Hunter
- Black and Veatch, 201 Brookfield Parkway, Suite 150, Greenville, SC, 29607, USA
| | - Zeynep K Erdal
- Black and Veatch, 201 Brookfield Parkway, Suite 150, Greenville, SC, 29607, USA
| | - Ryan J Pletka
- Black and Veatch, 2999 Oak Road, Suite 490, Walnut Creek, CA, 94597, USA
| | - Hyleme S George
- Black and Veatch, 11401 Lamar, Overland Park, KS, 66211, USA
| | - Xiu-Feng Wan
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA; Center for Influenza and Emerging Infectious Diseases, Department of Molecular Microbiology and Immunology, School of Medicine, Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO, 65211, USA; Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, USA; Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.
| | - Mahmoud Almasri
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, 411 S 6th St, Columbia, Mo, 65211, USA.
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Fata F, Gabriele F, Angelucci F, Ippoliti R, Di Leandro L, Giansanti F, Ardini M. Bio-Tailored Sensing at the Nanoscale: Biochemical Aspects and Applications. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23020949. [PMID: 36679744 PMCID: PMC9866807 DOI: 10.3390/s23020949] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/04/2023] [Accepted: 01/09/2023] [Indexed: 06/01/2023]
Abstract
The demonstration of the first enzyme-based electrode to detect glucose, published in 1967 by S. J. Updike and G. P. Hicks, kicked off huge efforts in building sensors where biomolecules are exploited as native or modified to achieve new or improved sensing performances. In this growing area, bionanotechnology has become prominent in demonstrating how nanomaterials can be tailored into responsive nanostructures using biomolecules and integrated into sensors to detect different analytes, e.g., biomarkers, antibiotics, toxins and organic compounds as well as whole cells and microorganisms with very high sensitivity. Accounting for the natural affinity between biomolecules and almost every type of nanomaterials and taking advantage of well-known crosslinking strategies to stabilize the resulting hybrid nanostructures, biosensors with broad applications and with unprecedented low detection limits have been realized. This review depicts a comprehensive collection of the most recent biochemical and biophysical strategies for building hybrid devices based on bioconjugated nanomaterials and their applications in label-free detection for diagnostics, food and environmental analysis.
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Szczerska M, Wityk P, Listewnik P. The SARS-CoV-2 specific IgG antibodies biophotonic sensor. JOURNAL OF BIOPHOTONICS 2023; 16:e202200172. [PMID: 36222282 PMCID: PMC9874777 DOI: 10.1002/jbio.202200172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/23/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
In this paper, we present the design and the principle of operation of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) specific immunoglobulin G (IgG) biophotonic sensor, which is based on the single-mode telecommunication fiber. We fabricated the sensor head at the face of the single mode fiber-28. Due to the process of bio-functionalization, our sensor has the ability to selectively detect the SARS-CoV-2 specific IgG antibodies. The results of preliminary tests allowed us to correctly determine the presence of antibodies in less than 1 min in 5 μl in a volume sample of concentration of 10 μg/ml, which according to studies, corresponds to the concentration of IgG antibodies in human serum. Additionally, the tested sample can be smaller than 5 μl in volume.
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Affiliation(s)
- Małgorzata Szczerska
- Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and InformaticsGdańsk University of TechnologyGdańskPoland
| | - Paweł Wityk
- Department of Biopharmaceutics and PharmacodynamicsMedical University of GdańskGdańskPoland
| | - Paulina Listewnik
- Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications and InformaticsGdańsk University of TechnologyGdańskPoland
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Soni I, Kumar P, Jayaprakash GK, Pandith A. A Short Review Comparing Carbon-Based Electrochemical Platforms With Other Materials For Biosensing SARS-Cov-2. ChemistrySelect 2022; 7:e202202465. [PMID: 36711230 PMCID: PMC9874754 DOI: 10.1002/slct.202202465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 09/08/2022] [Indexed: 02/01/2023]
Abstract
Due to the 2019 SARS-CoV-2 outbreak, low-cost, fast, and user-friendly diagnostic kits for biosensing SARS-CoV-2 in real samples employing multiple working electrodes are in high demand. Choosing SARS-CoV-2 detecting electrodes is difficult because each has advantages and limitations. Carbon-based electrochemical sensing applications have attracted attention from the electrochemical sensing community because carbon and carbon-based materials have been a godsend for testing utilizing an electrochemical platform. Carbon working electrode electrochemical platforms are cost-effective and fast. Covid-sensors use carbon-based materials because they can be easily changed (with inorganic and organic functionalities), have quick response kinetics, and are chemically resistant. Covid-19 sensing materials include graphene and graphite. This review explains how carbon materials have been employed in N and S protein electrochemical detection. Here, we discussed a carbon-based technology for SARS-CoV-2 biosensing. We've compared carbon-based electrochemical sensing to different electrodes.
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Affiliation(s)
- Isha Soni
- Laboratory of Quantum ElectrochemistrySchool of Advanced Chemical ScienceShoolini UniversitySolan, 173229Himachal PradeshIndia
| | - Pankaj Kumar
- Laboratory of Quantum ElectrochemistrySchool of Advanced Chemical ScienceShoolini UniversitySolan, 173229Himachal PradeshIndia
| | - Gururaj Kudur Jayaprakash
- Laboratory of Quantum ElectrochemistrySchool of Advanced Chemical ScienceShoolini UniversitySolan, 173229Himachal PradeshIndia
- Department of ChemistryNitte Meenakshi Institute of Technology, Bangalore, 560064KarnatakaIndia
| | - Anup Pandith
- College of Biomedical EngineeringTaipei Medical UniversityTaipei City11031Taiwan (R.O.C
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9
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Qiu Z, Yu X, Zhang J, Xu C, Gao M, Cheng Y, Zhu M. Fibrous aggregates: Amplifying aggregation-induced emission to boost health protection. Biomaterials 2022; 287:121666. [PMID: 35835002 PMCID: PMC9250848 DOI: 10.1016/j.biomaterials.2022.121666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/25/2022] [Accepted: 06/29/2022] [Indexed: 11/17/2022]
Abstract
Environmental monitoring and personal protection are critical for preventing and for protecting human health during all infectious disease outbreaks (including COVID-19). Fluorescent probes combining sensing, imaging and therapy functions, could not only afford direct visualizing existence of biotargets and monitoring their dynamic information, but also provide therapeutic functions for killing various bacteria or viruses. Luminogens with aggregation-induced emission (AIE) could be well suited for above requirements because of their typical photophysical properties and therapeutic functions. Integration of these molecules with fibers or textiles is of great interest for developing flexible devices and wearable systems. In this review, we mainly focus on how fibers and AIEgens to be combined for health protection based on the latest advances in biosensing and bioprotection. We first discuss the construction of fibrous sensors for visualization of biomolecules. Next recent advances in therapeutic fabrics for individual protection are introduced. Finally, the current challenges and future opportunities for "AIE + Fiber" in sensing and therapeutic applications are presented.
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Affiliation(s)
- Zhenduo Qiu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Xiaoxiao Yu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Junyan Zhang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Chengjian Xu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Mengyue Gao
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Yanhua Cheng
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China.
| | - Meifang Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
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10
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Rapid Optical Biosensing of SARS-CoV-2 Spike Proteins in Artificial Samples. SENSORS 2022; 22:s22103768. [PMID: 35632177 PMCID: PMC9146222 DOI: 10.3390/s22103768] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/11/2022] [Accepted: 05/14/2022] [Indexed: 01/22/2023]
Abstract
Tests for SARS-CoV-2 are crucial for the mass surveillance of the incidence of infection. The long waiting time for classic nucleic acid test results highlights the importance of developing alternative rapid biosensing methods. Herein, we propose a fiber-optic biolayer interferometry-based biosensor (FO-BLI) to detect SARS-CoV-2 spike proteins, extracellular domain (ECD), and receptor-binding domain (RBD) in artificial samples in 13 min. The FO-BLI biosensor utilized an antibody pair to capture and detect the spike proteins. The secondary antibody conjugated with horseradish peroxidase (HRP) reacted with the enzyme substrate for signal amplification. Two types of substrates, 3,3'-diaminobenzidine (DAB) and an advanced 3-Amino-9-ethylcarbazole (i.e., AMEC), were applied to evaluate their capabilities in enhancing signals and reaching high sensitivity. After careful comparison, the AMEC-based FO-BLI biosensor showed better assay performance, which detected ECD at a concentration of 32-720 pM and RBD of 12.5-400 pM in artificial saliva and serum, respectively. The limit of detection (LoD) for SARS-CoV-2 ECD and RBD was defined to be 36 pM and 12.5 pM, respectively. Morphology of the metal precipitates generated by the AMEC-HRP reaction in the fiber tips was observed using field emission scanning electron microscopy (SEM). Collectively, the developed FO-BLI biosensor has the potential to rapidly detect SARS-CoV-2 antigens and provide guidance for "sample-collect and result-out on-site" mode.
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