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Budama-Kilinc Y, Kurtur OB, Gok B, Cakmakci N, Kecel-Gunduz S, Unel NM, Ozturk TK. Use of Immunoglobulin Y Antibodies: Biosensor-based Diagnostic Systems and Prophylactic and Therapeutic Drug Delivery Systems for Viral Respiratory Diseases. Curr Top Med Chem 2024; 24:973-985. [PMID: 38561616 DOI: 10.2174/0115680266289898240322073258] [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: 10/28/2023] [Revised: 03/02/2024] [Accepted: 03/11/2024] [Indexed: 04/04/2024]
Abstract
Respiratory viruses have caused many pandemics from past to present and are among the top global public health problems due to their rate of spread. The recently experienced COVID-19 pandemic has led to an understanding of the importance of rapid diagnostic tests to prevent epidemics and the difficulties of developing new vaccines. On the other hand, the emergence of resistance to existing antiviral drugs during the treatment process poses a major problem for society and global health systems. Therefore, there is a need for new approaches for the diagnosis, prophylaxis, and treatment of existing or new types of respiratory viruses. Immunoglobulin Y antibodies (IgYs) obtained from the yolk of poultry eggs have significant advantages, such as high production volumes, low production costs, and high selectivity, which enable the development of innovative and strategic products. Especially in diagnosing respiratory viruses, antibody-based biosensors in which these antibodies are integrated have the potential to provide superiority in making rapid and accurate diagnosis as a practical diagnostic tool. This review article aims to provide information on using IgY antibodies in diagnostic, prophylactic, and therapeutic applications for respiratory viruses and to provide a perspective for future innovative applications.
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Affiliation(s)
- Yasemin Budama-Kilinc
- Department of Bioengineering, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, Istanbul, Turkiye
- Health Biotechnology Joint Research and Application Center of Excellence, Istanbul, Turkey
| | - Ozan Baris Kurtur
- Graduate School of Natural and Applied Science, Yildiz Technical University, Istanbul, Turkey
| | - Bahar Gok
- Graduate School of Natural and Applied Science, Yildiz Technical University, Istanbul, Turkey
| | - Nisanur Cakmakci
- Graduate School of Natural and Applied Science, Yildiz Technical University, Istanbul, Turkey
| | - Serda Kecel-Gunduz
- Physics Department, Faculty of Science, Istanbul University, Istanbul, Turkiye
| | - Necdet Mehmet Unel
- Department of Genetics and Bioengineering, Faculty of Engineering and Architecture, Kastamonu University, Plantomics Research Laboratory, Kastamonu, Turkiye
- Research and Application Center, Kastamonu University, Kastamonu, Turkiye
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Moreira NS, Baldo TA, Duarte LC, Lopes-Luz L, Oliveira KA, Estrela PFN, Simões AM, Bührer-Sékula S, Duarte GRM, Coltro WKT. Direct immunoassay on a polyester microwell plate for colorimetric detection of the spike protein in swab and saliva samples. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 16:74-82. [PMID: 38073521 DOI: 10.1039/d3ay01755a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
This study presents the development of a polyester microplate for detecting the S-protein of the SARS-CoV-2 virus in saliva and nasopharyngeal swab samples using direct enzyme-linked immunosorbent assay (ELISA) technology. The polyester microplate was designed to contain 96 zones with a 3 mm diameter each, and a volume of 2-3 μL. The experimental conditions including reagent concentration and reaction time were optimized. The microplate image was digitized and analyzed using graphical software. The linear range obtained between protein S concentrations and pixel intensity was 0-10 μg mL-1, with a correlation coefficient of 0.99 and a limit of detection of 0.44 μg mL-1. The developed methodology showed satisfactory intraplate and interplate repeatability with RSD values lower than 7.8%. The results achieved through immunoassay performed on polyester microplates were consistent with those of the RT-PCR method and showed a sensitivity of 100% and 90% and specificity of 85.71% and 100% for saliva and nasopharyngeal samples, respectively. The proposed direct immunoassay on polyester microplates emerges as an alternative to conventional immunoassays performed on commercial polystyrene plates, given the low cost of the device, low consumption of samples and reagents, lower waste generation, and shorter analysis time. Moreover, the immunoassay has shown great potential for diagnosing COVID-19 with precision and accuracy.
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Affiliation(s)
- Nikaele S Moreira
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
| | - Thaisa A Baldo
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
| | - Lucas C Duarte
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
- Instituto Federal de Educação, Ciência e Tecnologia de Goiás - Campus Inhumas, 75402-556, Inhumas, GO, Brazil
| | - Leonardo Lopes-Luz
- Instituto de Patologia Tropical e Saúde Pública, Centro Multiusuário de Bioinsumos e Tecnologias em Saúde, Universidade Federal de Goiás, 74605-050, Goiânia, GO, Brazil
- Innovation Hub in Point-of-Care Technologies, 74690-900, Goiânia, GO, Brazil
| | - Karoliny A Oliveira
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
| | - Paulo F N Estrela
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
| | - Amanda M Simões
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
| | - Samira Bührer-Sékula
- Instituto de Patologia Tropical e Saúde Pública, Centro Multiusuário de Bioinsumos e Tecnologias em Saúde, Universidade Federal de Goiás, 74605-050, Goiânia, GO, Brazil
- Innovation Hub in Point-of-Care Technologies, 74690-900, Goiânia, GO, Brazil
| | - Gabriela R M Duarte
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
- Innovation Hub in Point-of-Care Technologies, 74690-900, Goiânia, GO, Brazil
| | - Wendell K T Coltro
- Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil.
- Innovation Hub in Point-of-Care Technologies, 74690-900, Goiânia, GO, Brazil
- Instituto Nacional de Ciência e Tecnologia de Bioanalítica, 13084-971, Campinas, SP, Brazil
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Liu Y, Qin Z, Zhou J, Jia X, Li H, Wang X, Chen Y, Sun Z, He X, Li H, Wang G, Chang H. Nano-biosensor for SARS-CoV-2/COVID-19 detection: methods, mechanism and interface design. RSC Adv 2023; 13:17883-17906. [PMID: 37323463 PMCID: PMC10262965 DOI: 10.1039/d3ra02560h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023] Open
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) was a huge disaster to human society. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which led to COVID-19, has resulted in a large number of deaths. Even though the reverse transcription-polymerase chain reaction (RT-PCR) is the most efficient method for the detection of SARS-CoV-2, the disadvantages (such as long detection time, professional operators, expensive instruments, and laboratory equipment) limit its application. In this review, the different kinds of nano-biosensors based on surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), field-effect transistor (FET), fluorescence methods, and electrochemical methods are summarized, starting with a concise description of their sensing mechanism. The different bioprobes (such as ACE2, S protein-antibody, IgG antibody, IgM antibody, and SARS-CoV-2 DNA probes) with different bio-principles are introduced. The key structural components of the biosensors are briefly introduced to give readers an understanding of the principles behind the testing methods. In particular, SARS-CoV-2-related RNA mutation detection and its challenges are also briefly described. We hope that this review will encourage readers with different research backgrounds to design SARS-CoV-2 nano-biosensors with high selectivity and sensitivity.
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Affiliation(s)
- Yansheng Liu
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Zhenle Qin
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Jin Zhou
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaobo Jia
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongli Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiaohong Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Yating Chen
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Zijun Sun
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Xiong He
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Hongda Li
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
| | - Guofu Wang
- School of Electronic Engineering, Guangxi University of Science and Technology Liuzhou 545616 Guangxi China
| | - Haixin Chang
- Quantum-Nano Matter and Device Lab, State Key Laboratory of Material Processing and Die and Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology Wuhan 430074 Hubei China
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Serrano-Garcia W, Bonadies I, Thomas SW, Guarino V. New Insights to Design Electrospun Fibers with Tunable Electrical Conductive-Semiconductive Properties. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23031606. [PMID: 36772646 PMCID: PMC9919353 DOI: 10.3390/s23031606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 05/14/2023]
Abstract
Fiber electronics, such as those produced by the electrospinning technique, have an extensive range of applications including electrode surfaces for batteries and sensors, energy storage, electromagnetic interference shielding, antistatic coatings, catalysts, drug delivery, tissue engineering, and smart textiles. New composite materials and blends from conductive-semiconductive polymers (C-SPs) offer high surface area-to-volume ratios with electrical tunability, making them suitable for use in fields including electronics, biofiltration, tissue engineering, biosensors, and "green polymers". These materials and structures show great potential for embedded-electronics tissue engineering, active drug delivery, and smart biosensing due to their electronic transport behavior and mechanical flexibility with effective biocompatibility. Doping, processing methods, and morphologies can significantly impact the properties and performance of C-SPs and their composites. This review provides an overview of the current literature on the processing of C-SPs as nanomaterials and nanofibrous structures, mainly emphasizing the electroactive properties that make these structures suitable for various applications.
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Affiliation(s)
- William Serrano-Garcia
- Advanced Materials Bio & Integration Research (AMBIR) Laboratory, Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA
- Correspondence: (W.S.-G.); or (V.G.); Tel.: +39-081-242-5944 (V.G.)
| | - Irene Bonadies
- Institute of Polymers, Composites and Biomaterials, National Research Council of Italy, Via Campi Flegrei 34, 80078 Pozzuoli, Italy
| | - Sylvia W. Thomas
- Advanced Materials Bio & Integration Research (AMBIR) Laboratory, Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA
| | - Vincenzo Guarino
- Institute of Polymers, Composites and Biomaterials, National Research Council of Italy, Mostra d’Oltremare, Pad.20, 80125 Naples, Italy
- Correspondence: (W.S.-G.); or (V.G.); Tel.: +39-081-242-5944 (V.G.)
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Integrated lab-on-a-chip devices: Fabrication methodologies, transduction system for sensing purposes. J Pharm Biomed Anal 2023; 223:115120. [DOI: 10.1016/j.jpba.2022.115120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/06/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022]
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A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning. BIOSENSORS 2022; 12:bios12090710. [PMID: 36140093 PMCID: PMC9496380 DOI: 10.3390/bios12090710] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 11/25/2022]
Abstract
The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and to detect danger or predict urgent situations in a battlefield, as in the invasion of SARS-CoV-2 in this era. This work is devoted to describing a panoramic overview of optical biosensors that can be improved by the assistance of nonlinear optics and machine learning methods. Optical biosensors have demonstrated their effectiveness in detecting a diverse range of viruses. Specifically, the SARS-CoV-2 virus has generated disturbance all over the world, and biosensors have emerged as a key for providing an analysis based on physical and chemical phenomena. In this perspective, we highlight how multiphoton interactions can be responsible for an enhancement in sensibility exhibited by biosensors. The nonlinear optical effects open up a series of options to expand the applications of optical biosensors. Nonlinearities together with computer tools are suitable for the identification of complex low-dimensional agents. Machine learning methods can approximate functions to reveal patterns in the detection of dynamic objects in the human body and determine viruses, harmful entities, or strange kinetics in cells.
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