1
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Lou F, Zhang H, Wang Y, Wang S, Li Q, Tang D. Liposome-embedded PtCu nanozymes for improved immunoassay of accurate myocardial infarction. Talanta 2024; 279:126576. [PMID: 39018952 DOI: 10.1016/j.talanta.2024.126576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Revised: 07/02/2024] [Accepted: 07/15/2024] [Indexed: 07/19/2024]
Abstract
Herein, we developed a platinum-copper nano-enzyme-linked immunosorbent assay (NLISA) based split diagnostic platform for the ultrasensitive detection of cardiac troponin I (cTnI). The PtCu nanozyme synthesized by one-pot synthesis exhibited ultra-high peroxidase-like activity (35.17 U mg-1), which was about 4.5 times higher than that of the unmodified Pt nanozyme (8.83 U mg-1). Due to the efficient peroxidase-like activity of the copper-platinum complexed nanozyme, transduction and sequential amplification of cTnI biological signals were achieved in combination with a liposome-embedded amplification strategy. The encapsulation efficiency was calculated by introducing a liposomal bilayer model, which showed that the introduction of a single liposomal molecule could amplify the signal up to 870-fold, thus promising a high sensitivity test. Notably, the dynamic response of cTnI was in the range of 0.1-5000 pg mL-1 with an ultra-low detection limit (0.048 pg mL-1). The developed NLISA analysis system provides a new way to discover efficient and sensitive alternatives to ELISA kits, which can meet the practical needs of community healthcare testing conditions and rapid testing in hospitals.
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Affiliation(s)
- Fangming Lou
- School of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi, 445000, Hubei, PR China
| | - Han Zhang
- School of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi, 445000, Hubei, PR China
| | - Yanwen Wang
- School of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi, 445000, Hubei, PR China
| | - Shaojie Wang
- School of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi, 445000, Hubei, PR China
| | - Qunfang Li
- School of Chemistry and Environmental Engineering, Hubei Minzu University, Enshi, 445000, Hubei, PR China.
| | - Dianping Tang
- Key Laboratory of Analytical Science for Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, PR China
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2
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Haghayegh F, Norouziazad A, Haghani E, Feygin AA, Rahimi RH, Ghavamabadi HA, Sadighbayan D, Madhoun F, Papagelis M, Felfeli T, Salahandish R. Revolutionary Point-of-Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400595. [PMID: 38958517 DOI: 10.1002/advs.202400595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 06/19/2024] [Indexed: 07/04/2024]
Abstract
Early-stage disease detection, particularly in Point-Of-Care (POC) wearable formats, assumes pivotal role in advancing healthcare services and precision-medicine. Public benefits of early detection extend beyond cost-effectively promoting healthcare outcomes, to also include reducing the risk of comorbid diseases. Technological advancements enabling POC biomarker recognition empower discovery of new markers for various health conditions. Integration of POC wearables for biomarker detection with intelligent frameworks represents ground-breaking innovations enabling automation of operations, conducting advanced large-scale data analysis, generating predictive models, and facilitating remote and guided clinical decision-making. These advancements substantially alleviate socioeconomic burdens, creating a paradigm shift in diagnostics, and revolutionizing medical assessments and technology development. This review explores critical topics and recent progress in development of 1) POC systems and wearable solutions for early disease detection and physiological monitoring, as well as 2) discussing current trends in adoption of smart technologies within clinical settings and in developing biological assays, and ultimately 3) exploring utilities of POC systems and smart platforms for biomarker discovery. Additionally, the review explores technology translation from research labs to broader applications. It also addresses associated risks, biases, and challenges of widespread Artificial Intelligence (AI) integration in diagnostics systems, while systematically outlining potential prospects, current challenges, and opportunities.
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Affiliation(s)
- Fatemeh Haghayegh
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Alireza Norouziazad
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Elnaz Haghani
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Ariel Avraham Feygin
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Reza Hamed Rahimi
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Hamidreza Akbari Ghavamabadi
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Deniz Sadighbayan
- Department of Biology, Faculty of Science, York University, Toronto, ON, M3J 1P3, Canada
| | - Faress Madhoun
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Manos Papagelis
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Tina Felfeli
- Department of Ophthalmology and Vision Sciences, University of Toronto, Ontario, M5T 3A9, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, M5T 3M6, Canada
| | - Razieh Salahandish
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
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3
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Kumar S, Mohan A, Sharma NR, Kumar A, Girdhar M, Malik T, Verma AK. Computational Frontiers in Aptamer-Based Nanomedicine for Precision Therapeutics: A Comprehensive Review. ACS OMEGA 2024; 9:26838-26862. [PMID: 38947800 PMCID: PMC11209897 DOI: 10.1021/acsomega.4c02466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/09/2024] [Accepted: 05/28/2024] [Indexed: 07/02/2024]
Abstract
In the rapidly evolving landscape of nanomedicine, aptamers have emerged as powerful molecular tools, demonstrating immense potential in targeted therapeutics, diagnostics, and drug delivery systems. This paper explores the computational features of aptamers in nanomedicine, highlighting their advantages over antibodies, including selectivity, low immunogenicity, and a simple production process. A comprehensive overview of the aptamer development process, specifically the Systematic Evolution of Ligands by Exponential Enrichment (SELEX) process, sheds light on the intricate methodologies behind aptamer selection. The historical evolution of aptamers and their diverse applications in nanomedicine are discussed, emphasizing their pivotal role in targeted drug delivery, precision medicine and therapeutics. Furthermore, we explore the integration of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), Internet of Medical Things (IoMT), and nanotechnology in aptameric development, illustrating how these cutting-edge technologies are revolutionizing the selection and optimization of aptamers for tailored biomedical applications. This paper also discusses challenges in computational methods for advancing aptamers, including reliable prediction models, extensive data analysis, and multiomics data incorporation. It also addresses ethical concerns and restrictions related to AI and IoT use in aptamer research. The paper examines progress in computer simulations for nanomedicine. By elucidating the importance of aptamers, understanding their superiority over antibodies, and exploring the historical context and challenges, this review serves as a valuable resource for researchers and practitioners aiming to harness the full potential of aptamers in the rapidly evolving field of nanomedicine.
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Affiliation(s)
- Shubham Kumar
- School
of Bioengineering and Biosciences, Lovely
Professional University, Phagwara, Punjab 144001, India
| | - Anand Mohan
- School
of Bioengineering and Biosciences, Lovely
Professional University, Phagwara, Punjab 144001, India
| | - Neeta Raj Sharma
- School
of Bioengineering and Biosciences, Lovely
Professional University, Phagwara, Punjab 144001, India
| | - Anil Kumar
- Gene
Regulation Laboratory, National Institute
of Immunology, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Madhuri Girdhar
- Division
of Research and Development, Lovely Professional
University, Phagwara 144401, Punjab, India
| | - Tabarak Malik
- Department
of Biomedical Sciences, Institute of Health, Jimma University, MVJ4+R95 Jimma, Ethiopia
| | - Awadhesh Kumar Verma
- School
of Bioengineering and Biosciences, Lovely
Professional University, Phagwara, Punjab 144001, India
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4
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Chugh V, Basu A, Kaushik A, Manshu, Bhansali S, Basu AK. Employing nano-enabled artificial intelligence (AI)-based smart technologies for prediction, screening, and detection of cancer. NANOSCALE 2024; 16:5458-5486. [PMID: 38391246 DOI: 10.1039/d3nr05648a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Cancer has been classified as a diverse illness with a wide range of subgroups. Its early identification and prognosis, which have become a requirement of cancer research, are essential for clinical treatment. Patients have already benefited greatly from the use of artificial intelligence (AI), machine learning (ML), and deep learning (DL) algorithms in the field of healthcare. AI simulates and combines data, pre-programmed rules, and knowledge to produce predictions. Data are used to improve efficiency across several pursuits and tasks through the art of ML. DL is a larger family of ML methods based on representational learning and simulated neural networks. Support vector machines, convulsion neural networks, and artificial neural networks, among others, have been widely used in cancer research to construct prediction models that enable precise and effective decision-making. Although using these innovative methods can enhance our comprehension of how cancer progresses, further validation is required before these techniques can be used in routine clinical practice. We cover contemporary methods used in the modelling of cancer development in this article. The presented prediction models are built using a variety of guided ML approaches, as well as numerous input attributes and data collections. Early identification and cost-effective detection of cancer's progression are equally necessary for successful treatment of the disease. Smart material-based detection techniques can give end consumers a portable, affordable instrument to easily detect and monitor their health issues without the need for specialized knowledge. Owing to their cost-effectiveness, excellent sensitivity, multimodal detection capacity, and miniaturization aptitude, two-dimensional (2D) materials have a lot of prospects for clinical examination of various compounds as well as cancer biomarkers. The effectiveness of traditional devices is moving faster towards more useful techniques thanks to developments in 2D material-based biosensors/sensors. The most current developments in the design of 2D material-based biosensors/sensors-the next wave of cancer screening instruments-are also outlined in this article.
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Affiliation(s)
- Vibhas Chugh
- Quantum Materials and Devices Unit, Institute of Nano Science and Technology, Mohali, Punjab 140306, India.
| | - Adreeja Basu
- Biological Science, St. John's University, New York, NY 10301, United States
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, Florida 33805, USA
| | - Manshu
- Quantum Materials and Devices Unit, Institute of Nano Science and Technology, Mohali, Punjab 140306, India.
| | - Shekhar Bhansali
- Electrical and Computer Engineering, Florida International University, Miami, FL 33199, USA
| | - Aviru Kumar Basu
- Quantum Materials and Devices Unit, Institute of Nano Science and Technology, Mohali, Punjab 140306, India.
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5
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Chen H, Zhuang Z, Xu N, Feng Y, Fang K, Tan C, Tan Y. Simple, Visual, Point-of-Care SARS-CoV-2 Detection Incorporating Recombinase Polymerase Amplification and Target DNA-Protein Crosslinking Enhanced Chemiluminescence. BIOSENSORS 2024; 14:135. [PMID: 38534242 DOI: 10.3390/bios14030135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 03/28/2024]
Abstract
The ongoing COVID-19 pandemic, driven by persistent SARS-CoV-2 transmission, threatens human health worldwide, underscoring the urgent need for an efficient, low-cost, rapid SARS-CoV-2 detection method. Herein, we developed a point-of-care SARS-CoV-2 detection method incorporating recombinase polymerase amplification (RPA) and DNA-protein crosslinking chemiluminescence (DPCL) (RPADPCL). RPADPCL involves the crosslinking of biotinylated double-stranded RPA DNA products with horseradish peroxidase (HRP)-labeled streptavidin (SA-HRP). Modified products are captured using SA-labeled magnetic beads, and then analyzed using a chemiluminescence detector and smartphone after the addition of a chemiluminescent substrate. Under optimal conditions, the RPADPCL limit of detection (LOD) was observed to be 6 copies (within the linear detection range of 1-300 copies) for a plasmid containing the SARS-CoV-2 N gene and 15 copies (within the linear range of 10-500 copies) for in vitro transcribed (IVT) SARS-CoV-2 RNA. The proposed method is convenient, specific, visually intuitive, easy to use, and does not require external excitation. The effective RPADPCL detection of SARS-CoV-2 in complex matrix systems was verified by testing simulated clinical samples containing 10% human saliva or a virus transfer medium (VTM) spiked with a plasmid containing a SARS-CoV-2 N gene sequence or SARS-CoV-2 IVT RNA. Consequently, this method has great potential for detecting targets in clinical samples.
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Affiliation(s)
- Hui Chen
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Zhiyuan Zhuang
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Naihan Xu
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- School of Food and Drug, Shenzhen Polytechnic University, Shenzhen 518055, China
| | - Ying Feng
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Kaixin Fang
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Chunyan Tan
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Ying Tan
- State Key Laboratory of Chemical Oncogenomics, Institute of Biomedical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Department of Chemistry, Tsinghua University, Beijing 100084, China
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6
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Ganesh PS, Elugoke SE, Lee SH, Kim SY, Ebenso EE. Smart and emerging point of care electrochemical sensors based on nanomaterials for SARS-CoV-2 virus detection: Towards designing a future rapid diagnostic tool. CHEMOSPHERE 2024; 352:141269. [PMID: 38307334 DOI: 10.1016/j.chemosphere.2024.141269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/08/2024] [Accepted: 01/18/2024] [Indexed: 02/04/2024]
Abstract
In the recent years, researchers from all over the world have become interested in the fabrication of advanced and innovative electrochemical and/or biosensors for respiratory virus detection with the use of nanotechnology. These fabricated sensors demonstrated a number of benefits, including precision, affordability, accessibility, and miniaturization which makes them a promising test method for point-of-care (PoC) screening for SARS-CoV-2 viral infection. In order to comprehend the principles of electrochemical sensing and the role of various types of sensing interfaces, we comprehensively explored the underlying principles of electroanalytical methods and terminologies related to it in this review. In addition, it is addressed how to fabricate electrochemical sensing devices incorporating nanomaterials as graphene, metal/metal oxides, metal organic frameworks (MOFs), MXenes, quantum dots, and polymers. We took an effort to carefully compile current developments, advantages, drawbacks, possible solutions in nanomaterials based electrochemical sensors.
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Affiliation(s)
- Pattan Siddappa Ganesh
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
| | - Saheed Eluwale Elugoke
- Centre for Material Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa; Institute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa
| | - Seok-Han Lee
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea
| | - Sang-Youn Kim
- Interaction Laboratory, Advanced Technology Research Center, Future Convergence Engineering, Korea University of Technology and Education, Cheonan-si, Chungcheongnam-do, 330-708, Republic of Korea.
| | - Eno E Ebenso
- Centre for Material Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa; Institute for Nanotechnology and Water Sustainability (iNanoWS), College of Science, Engineering and Technology, University of South Africa, Johannesburg 1709, South Africa.
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7
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Shin S, Kim S, Choi W, Do J, Son J, Kim K, Jang S, Lee JS. Sensing Characteristics of SARS-CoV-2 Spike Protein Using Aptamer-Functionalized Si-Based Electrolyte-Gated Field-Effect Transistor (EGT). BIOSENSORS 2024; 14:124. [PMID: 38534231 DOI: 10.3390/bios14030124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/17/2024] [Accepted: 02/22/2024] [Indexed: 03/28/2024]
Abstract
The sensing responses of SARS-CoV-2 spike protein using top-down-fabricated Si-based electrolyte-gated transistors (EGTs) have been investigated. An aptamer was employed as a receptor for the SARS-CoV-2 spike protein. The EGT demonstrated excellent intrinsic characteristics and higher sensitivity in the subthreshold regime compared to the linear regime. The limit of detection (LOD) was achieved as low as 0.94 pg/mL and 20 pg/mL for the current and voltage sensitivity, respectively. To analyze the sensing responses of EGT in detecting the aptamer-SARS-CoV-2 spike protein conjugate, a lumped-capacitive model with the presence of an effective dipole potential and an effective capacitance of the functionalized layer component was employed. The aptamer-functionalized EGT showed high sensitivity even in 10 mM phosphate-buffered saline (PBS) solution. These results suggest that Si-based EGTs are a highly promising method for detecting SARS-CoV-2 spike proteins.
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Affiliation(s)
- Seonghwan Shin
- Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Sangwon Kim
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Wonyeong Choi
- Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Jeonghyeon Do
- Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Jongmin Son
- Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Kihyun Kim
- Division of Electronics Engineering, Jeonbuk National University, Jeonju 54896, Republic of Korea
| | - Sungkey Jang
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Jeong-Soo Lee
- Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
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8
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Al-Qaoud KM, Obeidat YM, Al-Omari T, Okour M, Al-Omari MM, Ahmad MI, Alshadfan R, Rawashdeh AM. The development of an electrochemical immunosensor utilizing chicken IgY anti-spike antibody for the detection of SARS-CoV-2. Sci Rep 2024; 14:748. [PMID: 38185704 PMCID: PMC10772103 DOI: 10.1038/s41598-023-50501-w] [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: 10/11/2023] [Accepted: 12/20/2023] [Indexed: 01/09/2024] Open
Abstract
This paper introduces a novel approach for detecting the SARS-CoV-2 recombinant spike protein combining a label free electrochemical impedimetric immunosensor with the use of purified chicken IgY antibodies. The sensor employs three electrodes and is functionalized with an anti-S IgY antibody, ELISA and immunoblot assays confirmed the positive response of chicken immunized with SARS-CoV2 S antigen. The developed immunosensor is effective in detecting SARS-CoV-2 in nasopharyngeal clinical samples from suspected cases. The key advantage of this biosensor is its remarkable sensitivity, and its capability of detecting very low concentrations of the target analyte, with a detection limit of 5.65 pg/mL. This attribute makes it highly suitable for practical point-of-care (POC) applications, particularly in low analyte count clinical scenarios, without requiring amplification. Furthermore, the biosensor has a wide dynamic range of detection, spanning from 11.56 to 740 ng/mL, which makes it applicable for sample analysis in a typical clinical setting.
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Affiliation(s)
- Khaled M Al-Qaoud
- Department of Biological Sciences, Faculty of Science, Yarmouk University, Irbid, Jordan
| | - Yusra M Obeidat
- Department of Electronics Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan.
| | - Tareq Al-Omari
- Department of Biological Sciences, Faculty of Science, Yarmouk University, Irbid, Jordan
| | - Mohammad Okour
- Department of Biological Sciences, Faculty of Science, Yarmouk University, Irbid, Jordan
| | - Mariam M Al-Omari
- Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Mohammad I Ahmad
- Rawgene Biotech, Umm Khelad St. 33, Amman, Jordan
- Atlas Medical, Sahab Industrial Area, Amman, Jordan
- Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Raed Alshadfan
- Rawgene Biotech, Umm Khelad St. 33, Amman, Jordan
- Atlas Medical, Sahab Industrial Area, Amman, Jordan
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9
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Singh A, Hassen WM, St-Onge R, Dubowski JJ. Galvanic Displacement Reaction Enabled Specific and Sensitive Detection of Bacteria with a Digital Photocorrosion GaAs/AlGaAs Biosensor. THE JOURNAL OF PHYSICAL CHEMISTRY. C, NANOMATERIALS AND INTERFACES 2023; 127:21768-21776. [PMID: 37969924 PMCID: PMC10641864 DOI: 10.1021/acs.jpcc.3c05200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/17/2023]
Abstract
The conjugation of ionic gold with bacterial antibodies makes it possible to induce a specific interaction between targeted bacteria and the surface of a GaAs/AlGaAs biochip. The process of immobilization is based on a galvanic displacement reaction (GDR) involving electron transfer between GaAs and Au3+ ions that leads to the formation of a Au-Ga alloy anchoring bacteria to the biochip surface. The GDR-based immobilization of Escherichia coli on biochips comprising a stack of GaAs/AlGaAs nanolayers (dGaAs = 12 nm, dAlGaAs = 10 nm) was confirmed by X-ray photoelectron spectroscopy and atomic force microscopy-based infrared experiments. We report the successful application of this approach for highly sensitive detection of E. coli with a digital photocorrosion (DIP) biosensor. The photoluminescence (PL) monitored DIP of GaAs/AlGaAs nanolayers results in the formation of a PL intensity maximum whose temporal appearance depends on the electric charge transfer between bacteria and the biochip. The formation of a robust bacteria-biochip interface achieved with the GDR process allowed us to observe the role of bacteria on the temporal position of a PL intensity maximum related to the etching of two pairs of GaAs/AlGaAs nanolayers extending up to 24 nm below the biochip surface. We demonstrate the attractive detection of E. coli at 250 CFU/mL, and we discuss the potential of this approach for designing a family of biosensors addressing the quasi-continuous monitoring of a water environment for the presence of pathogenic bacteria.
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Affiliation(s)
- Amanpreet Singh
- Laboratory for Quantum Semiconductors
and Photon-Based BioNanotechnology, Interdisciplinary Institute for
Technological Innovation (3IT), CNRS IRL-3463, Department of Electrical
and Computer Engineering, Université
de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, Québec J1K 0A5, Canada
| | - Walid M. Hassen
- Laboratory for Quantum Semiconductors
and Photon-Based BioNanotechnology, Interdisciplinary Institute for
Technological Innovation (3IT), CNRS IRL-3463, Department of Electrical
and Computer Engineering, Université
de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, Québec J1K 0A5, Canada
| | - René St-Onge
- Laboratory for Quantum Semiconductors
and Photon-Based BioNanotechnology, Interdisciplinary Institute for
Technological Innovation (3IT), CNRS IRL-3463, Department of Electrical
and Computer Engineering, Université
de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, Québec J1K 0A5, Canada
| | - Jan J. Dubowski
- Laboratory for Quantum Semiconductors
and Photon-Based BioNanotechnology, Interdisciplinary Institute for
Technological Innovation (3IT), CNRS IRL-3463, Department of Electrical
and Computer Engineering, Université
de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, Québec J1K 0A5, Canada
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10
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Acharya A, Surbaugh K, Thurman M, Wickramaratne C, Myers P, Mittal R, Pandey K, Klug E, Stein SJ, Ravnholdt AR, Herrera VL, Rivera DN, Williams P, Santarpia JL, Kaushik A, Dhau JS, Byrareddy SN. Efficient trapping and destruction of SARS-CoV-2 using PECO-assisted Molekule air purifiers in the laboratory and real-world settings. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115487. [PMID: 37729804 DOI: 10.1016/j.ecoenv.2023.115487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 09/04/2023] [Accepted: 09/13/2023] [Indexed: 09/22/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is transmitted human-to-human via aerosols and air-borne droplets. Therefore, capturing and destroying viruses from indoor premises are essential to reduce the probability of human exposure and virus transmission. While the heating, ventilation, and air conditioning (HVAC) systems help in reducing the indoor viral load, a targeted approach is required to effectively remove SARS-CoV-2 from indoor air to address human exposure concerns. The present study demonstrates efficient trapping and destruction of SARS-CoV-2 via nano-enabled filter technology using the UV-A-stimulated photoelectrochemical oxidation (PECO) process. Aerosols containing SARS-CoV-2 were generated by nebulization inside an air-controlled test chamber where an air purifier (Air Mini+) was placed. The study demonstrated the efficient removal of SARS-CoV-2 (99.98 %) from the test chamber in less than two minutes and PECO-assisted destruction (over 99%) on the filtration media in 1 h. Furthermore, in a real-world scenario, the Molekule Air-Pro air purifier removed SARS-CoV-2 (a negative RT-qPCR result post-running the filter device) from the circulating air in a COVID-19 testing facility. Overall, the ability of two FDA-approved class II medical devices, Molekule Air-Mini+ and Air-Pro air purifiers, to remove and destroy SARS-CoV-2 in indoor settings was successfully demonstrated. The study indicates that as the "tripledemic" of COVID-19, influenza, and respiratory syncytial virus (RSV) overwhelm the healthcare facilities in the USA, the use of a portable air filtration device will help contain the spread of the viruses in close door facilities, such as in schools and daycare facilities.
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Affiliation(s)
- Arpan Acharya
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68131, USA
| | - Kerri Surbaugh
- Research and Development, Molekule, Inc., 3802 Spectrum Blvd, Tampa, FL 33612, USA
| | - Michellie Thurman
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68131, USA
| | | | - Philip Myers
- Research and Development, Molekule, Inc., 3802 Spectrum Blvd, Tampa, FL 33612, USA
| | - Rajat Mittal
- Clean Energy Research Center, University of South Florida, Tampa, FL 33612, USA
| | - Kabita Pandey
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68131, USA
| | - Elizabeth Klug
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68131, USA
| | - Sarah J Stein
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Ashley R Ravnholdt
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Vicki L Herrera
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Danielle N Rivera
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Paul Williams
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Joshua L Santarpia
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Ajeet Kaushik
- Department of Environmental Engineering, Florida Polytechnic University, 4700 Research Way, Lakeland, FL 33805, USA; Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE 68131, USA
| | - Jaspreet S Dhau
- Research and Development, Molekule, Inc., 3802 Spectrum Blvd, Tampa, FL 33612, USA.
| | - Siddappa N Byrareddy
- Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68131, USA; Department of Environmental Engineering, Florida Polytechnic University, 4700 Research Way, Lakeland, FL 33805, USA; Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE 68131, USA; Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68131, USA.
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11
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Zeid AM, Mostafa IM, Lou B, Xu G. Advances in miniaturized nanosensing platforms for analysis of pathogenic bacteria and viruses. LAB ON A CHIP 2023; 23:4160-4172. [PMID: 37668185 DOI: 10.1039/d3lc00674c] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Pathogenic bacteria and viruses are the main causes of infectious diseases all over the world. Early diagnosis of such infectious diseases is a critical step in management of their spread and treatment of the infection in its early stages. Therefore, the innovation of smart sensing platforms for point-of-care diagnosis of life-threatening infectious diseases such as COVID-19 is a prerequisite to isolate the patients and provide them with suitable treatment strategies. The developed diagnostic sensors should be highly sensitive, specific, ultrafast, portable, cheap, label-free, and selective. In recent years, different nanosensors have been developed for the detection of bacterial and viral pathogens. We focus here on label-free miniaturized nanosensing platforms that were efficiently applied for pathogenic detection in biological matrices. Such devices include nanopore sensors and nanostructure-integrated lab-on-a-chip sensors that are characterized by portability, simplicity, cost-effectiveness, and ultrafast analysis because they avoid the time-consuming sample preparation steps. Furthermore, nanopore-based sensors could afford single-molecule counting of viruses in biological specimens, yielding high-sensitivity and high-accuracy detection. Moreover, non-invasive nanosensors that are capable of detecting volatile organic compounds emitted from the diseased organ to the skin, urine, or exhaled breath were also reviewed. The merits and applications of all these nanosensors for analysis of pathogenic bacteria and viruses in biological matrices will be discussed in detail, emphasizing the importance of artificial intelligence in advancing specific nanosensors.
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Affiliation(s)
- Abdallah M Zeid
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | - Islam M Mostafa
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Baohua Lou
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
| | - Guobao Xu
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
- University of Science and Technology of China, Hefei, Anhui 230026, China
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12
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Faqihi AA, Keegan N, Šiller L, Hedley J. Effect of Ambient Environment on Laser Reduction of Graphene Oxide for Applications in Electrochemical Sensing. SENSORS (BASEL, SWITZERLAND) 2023; 23:8002. [PMID: 37766056 PMCID: PMC10536370 DOI: 10.3390/s23188002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/13/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023]
Abstract
Electrochemical sensors play an important role in a variety of applications. With the potential for enhanced performance, much of the focus has been on developing nanomaterials, in particular graphene, for such sensors. Recent work has looked towards laser scribing technology for the reduction of graphene oxide as an easy and cost-effective option for sensor fabrication. This work looks to develop this approach by assessing the quality of sensors produced with the effect of different ambient atmospheres during the laser scribing process. The graphene oxide was reduced using a laser writing system in a range of atmospheres and sensors characterised with Raman spectroscopy, XPS and cyclic voltammetry. Although providing a slightly higher defect density, sensors fabricated under argon and nitrogen atmospheres exhibited the highest average electron transfer rates of approximately 2 × 10-3 cms-1. Issues of sensor reproducibility using this approach are discussed.
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Affiliation(s)
- Abdullah A. Faqihi
- School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (A.A.F.); (L.Š.)
- Department of Industrial Engineering, College of Engineering, Jazan University, Jazan 45142, Saudi Arabia
| | - Neil Keegan
- Translational and Clinical Research Institute, Newcastle upon Tyne NE1 7RU, UK;
| | - Lidija Šiller
- School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (A.A.F.); (L.Š.)
| | - John Hedley
- School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (A.A.F.); (L.Š.)
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13
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Yadav SK, Verma D, Yadav U, Kalkal A, Priyadarshini N, Kumar A, Mahato K. Point-of-Care Devices for Viral Detection: COVID-19 Pandemic and Beyond. MICROMACHINES 2023; 14:1744. [PMID: 37763907 PMCID: PMC10535693 DOI: 10.3390/mi14091744] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/29/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023]
Abstract
The pandemic of COVID-19 and its widespread transmission have made us realize the importance of early, quick diagnostic tests for facilitating effective cure and management. The primary obstacles encountered were accurately distinguishing COVID-19 from other illnesses including the flu, common cold, etc. While the polymerase chain reaction technique is a robust technique for the determination of SARS-CoV-2 in patients of COVID-19, there arises a high demand for affordable, quick, user-friendly, and precise point-of-care (POC) diagnostic in therapeutic settings. The necessity for available tests with rapid outcomes spurred the advancement of POC tests that are characterized by speed, automation, and high precision and accuracy. Paper-based POC devices have gained increasing interest in recent years because of rapid, low-cost detection without requiring external instruments. At present, microfluidic paper-based analysis devices have garnered public attention and accelerated the development of such POCT for efficient multistep assays. In the current review, our focus will be on the fabrication of detection modules for SARS-CoV-2. Here, we have included a discussion on various strategies for the detection of viral moieties. The compilation of these strategies would offer comprehensive insight into the detection of the causative agent preparedness for future pandemics. We also provide a descriptive outline for paper-based diagnostic platforms, involving the determination mechanisms, as well as a commercial kit for COVID-19 as well as their outlook.
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Affiliation(s)
- Sumit K. Yadav
- Department of Biotechnology, Vinoba Bhave University, Hazaribagh 825301, Jharkhand, India
| | - Damini Verma
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
| | - Ujala Yadav
- Department of Life Sciences, Central University of Jharkhand, Ranchi 835205, Jharkhand, India
| | - Ashish Kalkal
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
| | - Nivedita Priyadarshini
- Department of Zoology, DAV PG College Siwan, Jai Prakash University, Chhapra 841226, Bihar, India
| | - Ashutosh Kumar
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46637, USA
| | - Kuldeep Mahato
- Department of Nanoengineering, University of California San Diego, 9500 Gilman Dr, La Jolla, San Diego, CA 92093, USA
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14
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Rafique Q, Rehman A, Afghan MS, Ahmad HM, Zafar I, Fayyaz K, Ain Q, Rayan RA, Al-Aidarous KM, Rashid S, Mushtaq G, Sharma R. Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations. Comput Biol Med 2023; 163:107191. [PMID: 37354819 PMCID: PMC10281043 DOI: 10.1016/j.compbiomed.2023.107191] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/28/2023] [Accepted: 06/19/2023] [Indexed: 06/26/2023]
Abstract
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19 detection. In this study, we explore the realistic development of DL-driven COVID-19 detection methods and focus on the fully automatic framework using available resources, which can effectively investigate various coronavirus variants through modalities. We conducted an exploration and comparison of several diagnostic techniques that are widely used and globally validated for the detection of COVID-19. Furthermore, we explore review-based studies that provide detailed information on synergistic medicine combinations for the treatment of COVID-19. We recommend DL methods that effectively reduce time, cost, and complexity, providing valuable guidance for utilizing available synergistic combinations in clinical and research settings. This study also highlights the implication of innovative diagnostic technical and instrumental strategies, exploring public datasets, and investigating synergistic medicines using optimised DL rules. By summarizing these findings, we aim to assist future researchers in their endeavours by providing a comprehensive overview of the implication of DL techniques in COVID-19 detection and treatment. Integrating DL methods with various diagnostic approaches holds great promise in improving the accuracy and efficiency of COVID-19 diagnostics, thus contributing to effective control and management of the ongoing pandemic.
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Affiliation(s)
- Qandeel Rafique
- Department of Internal Medicine, Sahiwal Medical College, Sahiwal, 57040, Pakistan.
| | - Ali Rehman
- Department of General Medicine Govt. Eye and General Hospital Lahore, 54000, Pakistan.
| | - Muhammad Sher Afghan
- Department of Internal Medicine District Headquarter Hospital Faislaabad, 62300, Pakistan.
| | - Hafiz Muhamad Ahmad
- Department of Internal Medicine District Headquarter Hospital Bahawalnagar, 62300, Pakistan.
| | - Imran Zafar
- Department of Bioinformatics and Computational Biology, Virtual University Pakistan, 44000, Pakistan.
| | - Kompal Fayyaz
- Department of National Centre for Bioinformatics, Quaid-I-Azam University Islamabad, 45320, Pakistan.
| | - Quratul Ain
- Department of Chemistry, Government College Women University Faisalabad, 03822, Pakistan.
| | - Rehab A Rayan
- Department of Epidemiology, High Institute of Public Health, Alexandria University, 21526, Egypt.
| | - Khadija Mohammed Al-Aidarous
- Department of Computer Science, College of Science and Arts in Sharurah, Najran University, 51730, Saudi Arabia.
| | - Summya Rashid
- Department of Pharmacology & Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj, 11942, Saudi Arabia.
| | - Gohar Mushtaq
- Center for Scientific Research, Faculty of Medicine, Idlib University, Idlib, Syria.
| | - Rohit Sharma
- Department of Rasashastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
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15
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Anchidin-Norocel L, Savage WK, Gheorghita R, Amariei S. Biopolymers Used for Receptor Immobilization for Nickel-Detection Biosensors in Food. MICROMACHINES 2023; 14:1529. [PMID: 37630065 PMCID: PMC10456834 DOI: 10.3390/mi14081529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/20/2023] [Accepted: 07/28/2023] [Indexed: 08/27/2023]
Abstract
Food is humans' main source of nickel intake, which is responsible for the prevalence of allergic contact dermatitis and other pathological afflictions. While robust, the classical methods for nickel detection-atomic absorption spectrometry and inductively coupled plasma mass spectrometry-are expensive and laborious; in contrast, modern methods that utilize sensors-of which most are electrochemical-have rapid run times, are cost-effective, and are easily assembled. Here, we describe the use of four biopolymers (alginate, agar, chitosan, and carrageenan) for receptor immobilization on biosensors to detect nickel ions and use an optimization approach with three biopolymer concentrations to assay analytical performance profiles. We measured the total performance of screen-printed carbon electrodes immobilized with the biopolymer-sensor combinations using cyclic voltammetry (CV). Voltammetric behavior favored the carrageenan biosensor, based on performance characteristics measured using CV, with sensitivities of 2.68 (for 1% biopolymer concentration) and 2.08 (for 0.5% biopolymer concentration). Our results indicated that among the four biopolymer combinations, carrageenan with urease affixed to screen-printed electrodes was effective at coupling for nickel detection.
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Affiliation(s)
- Liliana Anchidin-Norocel
- Faculty of Medicine and Biological Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania;
| | - Wesley K. Savage
- Faculty of Medicine and Biological Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania;
- Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
| | - Roxana Gheorghita
- Faculty of Medicine and Biological Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania;
| | - Sonia Amariei
- Faculty of Food Engineering, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
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16
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Georgas A, Georgas K, Hristoforou E. Advancements in SARS-CoV-2 Testing: Enhancing Accessibility through Machine Learning-Enhanced Biosensors. MICROMACHINES 2023; 14:1518. [PMID: 37630054 PMCID: PMC10456522 DOI: 10.3390/mi14081518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/27/2023]
Abstract
The COVID-19 pandemic highlighted the importance of widespread testing for SARS-CoV-2, leading to the development of various new testing methods. However, traditional invasive sampling methods can be uncomfortable and even painful, creating barriers to testing accessibility. In this article, we explore how machine learning-enhanced biosensors can enable non-invasive sampling for SARS-CoV-2 testing, revolutionizing the way we detect and monitor the virus. By detecting and measuring specific biomarkers in body fluids or other samples, these biosensors can provide accurate and accessible testing options that do not require invasive procedures. We provide examples of how these biosensors can be used for non-invasive SARS-CoV-2 testing, such as saliva-based testing. We also discuss the potential impact of non-invasive testing on accessibility and accuracy of testing. Finally, we discuss potential limitations or biases associated with the machine learning algorithms used to improve the biosensors and explore future directions in the field of machine learning-enhanced biosensors for SARS-CoV-2 testing, considering their potential impact on global healthcare and disease control.
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Affiliation(s)
- Antonios Georgas
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece; (K.G.); (E.H.)
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17
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Parihar A, Malviya S, Khan R, Kaushik A, Mostafavi E. COVID-19 associated thyroid dysfunction and other comorbidities and its management using phytochemical-based therapeutics: a natural way. Biosci Rep 2023; 43:BSR20230293. [PMID: 37212057 PMCID: PMC10372472 DOI: 10.1042/bsr20230293] [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: 02/14/2023] [Revised: 05/16/2023] [Accepted: 05/19/2023] [Indexed: 05/23/2023] Open
Abstract
The present severe acute respiratory syndrome-2 (SARS-CoV-2) mediated Coronavirus pandemic (COVID-19) and post-COVID-19 complications affect human life drastically. Patients who have been cured of COVID-19 infection are now experiencing post-COVID-19 associated comorbidities, which have increased mortality rates. The SARS-CoV-2 infection distresses the lungs, kidneys, gastrointestinal tract, and various endocrine glands, including the thyroid. The emergence of variants which includes Omicron (B.1.1.529) and its lineages threaten the world severely. Among different therapeutic approaches, phytochemical-based therapeutics are not only cost-effective but also have lesser side effects. Recently a plethora of studies have shown the therapeutic efficacy of various phytochemicals for the treatment of COVID-19. Besides this, various phytochemicals have been found efficacious in treating several inflammatory diseases, including thyroid-related anomalies. The method of the phytochemical formulation is quick and facile and the raw materials for such herbal preparations are approved worldwide for human use against certain disease conditions. Owing to the advantages of phytochemicals, this review primarily discusses the COVID-19-related thyroid dysfunction and the role of key phytochemicals to deal with thyroid anomaly and post-COVID-19 complications. Further, this review shed light on the mechanism via which COVID-19 and its related complication affect organ function of the body, along with the mechanistic insight into the way by which phytochemicals could help to cure post-COVID-19 complications in thyroid patients. Considering the advantages offered by phytochemicals as a safer and cost-effective medication they can be potentially used to combat COVID-19-associated comorbidities.
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Affiliation(s)
- Arpana Parihar
- Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, MP, India
| | - Shivani Malviya
- Department of Biochemistry and Genetics, Barkatullah University, Habib Ganj, Bhopal, Madhya Pradesh 462026, India
| | - Raju Khan
- Industrial Waste Utilization, Nano and Biomaterials, CSIR-Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, MP, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, U.S.A
- School of Engineering, University of Petroleum and Energy Studies, Dehradun 248007, India
| | - Ebrahim Mostafavi
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, U.S.A
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, U.S.A
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18
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John P, Vasa NJ, Zam A. Optical Biosensors for the Diagnosis of COVID-19 and Other Viruses-A Review. Diagnostics (Basel) 2023; 13:2418. [PMID: 37510162 PMCID: PMC10378272 DOI: 10.3390/diagnostics13142418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/12/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
The sudden outbreak of the COVID-19 pandemic led to a huge concern globally because of the astounding increase in mortality rates worldwide. The medical imaging computed tomography technique, whole-genome sequencing, and electron microscopy are the methods generally used for the screening and identification of the SARS-CoV-2 virus. The main aim of this review is to emphasize the capabilities of various optical techniques to facilitate not only the timely and effective diagnosis of the virus but also to apply its potential toward therapy in the field of virology. This review paper categorizes the potential optical biosensors into the three main categories, spectroscopic-, nanomaterial-, and interferometry-based approaches, used for detecting various types of viruses, including SARS-CoV-2. Various classifications of spectroscopic techniques such as Raman spectroscopy, near-infrared spectroscopy, and fluorescence spectroscopy are discussed in the first part. The second aspect highlights advances related to nanomaterial-based optical biosensors, while the third part describes various optical interferometric biosensors used for the detection of viruses. The tremendous progress made by lab-on-a-chip technology in conjunction with smartphones for improving the point-of-care and portability features of the optical biosensors is also discussed. Finally, the review discusses the emergence of artificial intelligence and its applications in the field of bio-photonics and medical imaging for the diagnosis of COVID-19. The review concludes by providing insights into the future perspectives of optical techniques in the effective diagnosis of viruses.
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Affiliation(s)
- Pauline John
- Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi 129188, United Arab Emirates
| | - Nilesh J Vasa
- Department of Engineering Design, Indian Institute of Technology Madras, Chennai 600036, India
| | - Azhar Zam
- Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi 129188, United Arab Emirates
- Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA
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19
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Alam MM, Alam MM, Mirza H, Sultana N, Sultana N, Pasha AA, Khan AI, Zafar A, Ahmad MT. A Novel COVID-19 Diagnostic System Using Biosensor Incorporated Artificial Intelligence Technique. Diagnostics (Basel) 2023; 13:diagnostics13111886. [PMID: 37296738 DOI: 10.3390/diagnostics13111886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 04/29/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023] Open
Abstract
COVID-19, continually developing and raising increasingly significant issues, has impacted human health and caused countless deaths. It is an infectious disease with a high incidence and mortality rate. The spread of the disease is also a significant threat to human health, especially in the developing world. This study suggests a method called shuffle shepherd optimization-based generalized deep convolutional fuzzy network (SSO-GDCFN) to diagnose the COVID-19 disease state, types, and recovered categories. The results show that the accuracy of the proposed method is as high as 99.99%; similarly, precision is 99.98%; sensitivity/recall is 100%; specificity is 95%; kappa is 0.965%; AUC is 0.88%; and MSE is less than 0.07% as well as 25 s. Moreover, the performance of the suggested method has been confirmed by comparison of the simulation results from the proposed approach with those from several traditional techniques. The experimental findings demonstrate strong performance and high accuracy for categorizing COVID-19 stages with minimal reclassifications over the conventional methods.
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Affiliation(s)
- Md Mottahir Alam
- Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz, Jeddah 21589, Saudi Arabia
| | - Md Moddassir Alam
- Department of Health Information Management and Technology, College of Applied Medical Sciences, University of Hafr Al-Batin, Hafr Al-Batin 39524, Saudi Arabia
| | - Hidayath Mirza
- Department of Electrical Engineering, College of Engineering, Jazan University, P.O. Box 706, Jazan 45142, Saudi Arabia
| | - Nishat Sultana
- Department of Business Administration, Applied College, Jazan University, P.O. Box 706, Jazan 45142, Saudi Arabia
| | - Nazia Sultana
- Government Medical College Siddipet, Ensanpalli, Siddipet District, Telangana 502114, India
| | - Amjad Ali Pasha
- Aerospace Engineering Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Asif Irshad Khan
- Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Aasim Zafar
- Department of Computer Science, Aligarh Muslim University, Aligarh 202002, India
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20
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Yin ZZ, Liu Z, Zhou M, Yang X, Zheng G, Zhang H, Kong Y. A surface molecularly imprinted electrochemical biosensor for the detection of SARS-CoV-2 spike protein by using Cu 7S 4-Au as built-in probe. Bioelectrochemistry 2023; 152:108462. [PMID: 37182264 PMCID: PMC10170874 DOI: 10.1016/j.bioelechem.2023.108462] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/04/2023] [Accepted: 05/07/2023] [Indexed: 05/16/2023]
Abstract
Sensitive detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) spike protein (S protein) is of significant clinical importance in the diagnosis of COVID-19 pandemic. In this work, a surface molecularly imprinted (SMI) electrochemical biosensor is fabricated for the detection of SARS-CoV-2 S protein. Cu7S4-Au is used as the built-in probe and modified on the surface of a screen-printed carbon electrode (SPCE). 4-Mercaptophenylboric acid (4-MPBA) is anchored to the surface of the Cu7S4-Au through Au-SH bonds, which can be used for the immobilization of the SARS-CoV-2 S protein template through boronate ester bonds. After that, 3-aminophenylboronic acid (3-APBA) is electropolymerized on the electrode surface and used as the molecularly imprinted polymers (MIPs). The SMI electrochemical biosensor is obtained after the elution of the SARS-CoV-2 S protein template with an acidic solution by the dissociation of the boronate ester bonds, which can be utilized for sensitive detection of the SARS-CoV-2 S protein. The developed SMI electrochemical biosensor displays high specificity, reproducibility and stability, which might be a potential and promising candidate for the clinical diagnosis of COVID-19.
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Affiliation(s)
- Zheng-Zhi Yin
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China.
| | - Zixuan Liu
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Min Zhou
- Department of Clinical Laboratory, Changzhou No.3 People's Hospital, Changzhou 213001, China
| | - Xu Yang
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Guojun Zheng
- Department of Clinical Laboratory, Changzhou No.3 People's Hospital, Changzhou 213001, China
| | - Hongyu Zhang
- Department of Clinical Laboratory, Changzhou No.3 People's Hospital, Changzhou 213001, China
| | - Yong Kong
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China.
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21
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Karuppaiah G, Vashist A, Nair M, Veerapandian M, Manickam P. Emerging trends in point-of-care biosensing strategies for molecular architectures and antibodies of SARS-CoV-2. BIOSENSORS & BIOELECTRONICS: X 2023; 13:100324. [PMID: 36844889 PMCID: PMC9941073 DOI: 10.1016/j.biosx.2023.100324] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/01/2023] [Accepted: 02/18/2023] [Indexed: 02/23/2023]
Abstract
COVID-19, a highly contagious viral infection caused by the occurrence of severe acute respiratory syndrome coronavirus (SARS-CoV-2), has turned out to be a viral pandemic then ravaged many countries worldwide. In the recent years, point-of-care (POC) biosensors combined with state-of-the-art bioreceptors, and transducing systems enabled the development of novel diagnostic tools for rapid and reliable detection of biomarkers associated with SARS-CoV-2. The present review thoroughly summarises and discusses various biosensing strategies developed for probing SARS-CoV-2 molecular architectures (viral genome, S Protein, M protein, E protein, N protein and non-structural proteins) and antibodies as a potential diagnostic tool for COVID-19. This review discusses the various structural components of SARS-CoV-2, their binding regions and the bioreceptors used for recognizing the structural components. The various types of clinical specimens investigated for rapid and POC detection of SARS-CoV-2 is also highlighted. The importance of nanotechnology and artificial intelligence (AI) approaches in improving the biosensor performance for real-time and reagent-free monitoring the biomarkers of SARS-CoV-2 is also summarized. This review also encompasses existing practical challenges and prospects for developing new POC biosensors for clinical monitoring of COVID-19.
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Affiliation(s)
- Gopi Karuppaiah
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India
| | - Arti Vashist
- Center for Personalized Nanomedicine, Institute of NeuroImmune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, USA
| | - Madhavan Nair
- Center for Personalized Nanomedicine, Institute of NeuroImmune Pharmacology, Department of Immunology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, USA
| | - Murugan Veerapandian
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India
- Academy of Scientific and Innovative Research, Ghaziabad, 201 002, Uttar Pradesh, India
| | - Pandiaraj Manickam
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India
- Academy of Scientific and Innovative Research, Ghaziabad, 201 002, Uttar Pradesh, India
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22
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Karbasi Z, Gohari SH, Sabahi A. Bibliometric analysis of the use of artificial intelligence in COVID-19 based on scientific studies. Health Sci Rep 2023; 6:e1244. [PMID: 37152228 PMCID: PMC10158785 DOI: 10.1002/hsr2.1244] [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: 12/02/2022] [Revised: 04/11/2023] [Accepted: 04/16/2023] [Indexed: 05/09/2023] Open
Abstract
Background and Aims One such strategy is citation analysis used by researchers for research planning an article referred to by another article receives a "citation." By using bibliometric analysis, the development of research areas and authors' influence can be investigated. The current study aimed to identify and analyze the characteristics of 100 highly cited articles on the use of artificial intelligence concerning COVID-19. Methods On July 27, 2022, this database was searched using the keywords "artificial intelligence" and "COVID-19" in the topic. After extensive searching, all retrieved articles were sorted by the number of citations, and 100 highly cited articles were included based on the number of citations. The following data were extracted: year of publication, type of study, name of journal, country, number of citations, language, and keywords. Results The average number of citations for 100 highly cited articles was 138.54. The top three cited articles with 745, 596, and 549 citations. The top 100 articles were all in English and were published in 2020 and 2021. China was the most prolific country with 19 articles, followed by the United States with 15 articles and India with 10 articles. Conclusion The current bibliometric analysis demonstrated the significant growth of the use of artificial intelligence for COVID-19. Using these results, research priorities are more clearly defined, and researchers can focus on hot topics.
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Affiliation(s)
- Zahra Karbasi
- Medical Informatics Research Center, Institute for Futures Studies in HealthKerman University of Medical SciencesKermanIran
- Department of Health Information Sciences, Faculty of Management and Medical Information SciencesKerman University of Medical SciencesKermanIran
| | - Sadrieh H. Gohari
- Medical Informatics Research Center, Institute for Futures Studies in HealthKerman University of Medical SciencesKermanIran
| | - Azam Sabahi
- Department of Health Information Technology, Ferdows School of Health and Allied Medical SciencesBirjand University of Medical SciencesBirjandIran
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23
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GhaderiShekhiAbadi P, Irani M, Noorisepehr M, Maleki A. Magnetic biosensors for identification of SARS-CoV-2, Influenza, HIV, and Ebola viruses: a review. NANOTECHNOLOGY 2023; 34:272001. [PMID: 36996779 DOI: 10.1088/1361-6528/acc8da] [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: 08/17/2022] [Accepted: 03/29/2023] [Indexed: 06/19/2023]
Abstract
Infectious diseases such as novel coronavirus (SARS-CoV-2), Influenza, HIV, Ebola, etc kill many people around the world every year (SARS-CoV-2 in 2019, Ebola in 2013, HIV in 1980, Influenza in 1918). For example, SARS-CoV-2 has plagued higher than 317 000 000 people around the world from December 2019 to January 13, 2022. Some infectious diseases do not yet have not a proper vaccine, drug, therapeutic, and/or detection method, which makes rapid identification and definitive treatments the main challenges. Different device techniques have been used to detect infectious diseases. However, in recent years, magnetic materials have emerged as active sensors/biosensors for detecting viral, bacterial, and plasmids agents. In this review, the recent applications of magnetic materials in biosensors for infectious viruses detection have been discussed. Also, this work addresses the future trends and perspectives of magnetic biosensors.
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Affiliation(s)
| | - Mohammad Irani
- Department of Pharmaceutics, Faculty of Pharmacy, Alborz University of Medical Sciences, Karaj, Iran
| | - Mohammad Noorisepehr
- Environmental Health Engineering Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Ali Maleki
- Catalysts and Organic Synthesis Research Laboratory, Department of Chemistry, Iran University of Science and Technology, Tehran 16846-13114, Iran
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24
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Bhattacharjee B, Ikbal AMA, Farooqui A, Sahu RK, Ruhi S, Syed A, Miatmoko A, Khan D, Khan J. Superior possibilities and upcoming horizons for nanoscience in COVID-19: noteworthy approach for effective diagnostics and management of SARS-CoV-2 outbreak. CHEMICKE ZVESTI 2023; 77:1-24. [PMID: 37362791 PMCID: PMC10072050 DOI: 10.1007/s11696-023-02795-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 03/18/2023] [Indexed: 04/07/2023]
Abstract
The outbreak of COVID-19 has caused great havoc and affected many parts of the world. It has imposed a great challenge to the medical and health fraternity with its ability to continue mutating and increasing the transmission rate. Some challenges include the availability of current knowledge of active drugs against the virus, mode of delivery of the medicaments, its diagnosis, which are relatively limited and do not suffice for further prognosis. One recently developed drug delivery system called nanoparticles is currently being utilized in combating COVID-19. This article highlights the existing methods for diagnosis of COVID-19 such as computed tomography scan, reverse transcription-polymerase chain reaction, nucleic acid sequencing, immunoassay, point-of-care test, detection from breath, nanotechnology-based bio-sensors, viral antigen detection, microfluidic device, magnetic nanosensor, magnetic resonance platform and internet-of-things biosensors. The latest detection strategy based on nanotechnology, biosensor, is said to produce satisfactory results in recognizing SARS-CoV-2 virus. It also highlights the successes in the research and development of COVID-19 treatments and vaccines that are already in use. In addition, there are a number of nanovaccines and nanomedicines currently in clinical trials that have the potential to target COVID-19.
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Affiliation(s)
- Bedanta Bhattacharjee
- Girijananda Chowdhury Institute of Pharmaceutical Science, Tezpur, Assam 784501 India
| | - Abu Md Ashif Ikbal
- Department of Pharmaceutical Sciences, Assam University (A Central University), Silchar, 788011 India
| | - Atika Farooqui
- The Deccan College of Medical Sciences, Kanchan Bagh, Hyderabad, Telangana 500058 India
| | - Ram Kumar Sahu
- Department of Pharmaceutical Sciences, Hemvati Nandan Bahuguna Garhwal University (A Central University), Chauras Campus, Tehri Garhwal, Uttarakhand 249161 India
| | - Sakina Ruhi
- Department of Biochemistry, IMS, Management and Science University, University Drive, Off Persiaran Olahraga, 40100 Shah Alam, Selangor Malaysia
| | - Ayesha Syed
- International Medical School, Management and Science University, University Drive, Off Persiaran Olahraga, 40100 Shah Alam, Selangor Malaysia
| | - Andang Miatmoko
- Department of Pharmaceutical Sciences, Faculty of Pharmacy, Universitas Airlangga, Surabaya, East Java 60115 Indonesia
| | - Danish Khan
- Panineeya Institute of Dental Science and Research Centre, Kalonji Narayana Rao University of Health Sciences, Warangal, Telangana 506007 India
| | - Jiyauddin Khan
- School of Pharmacy, Management and Science University, 40100 Shah Alam, Selangor Malaysia
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25
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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
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
- grid.411982.70000 0001 0705 4288Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Department of Nanobiomedical Science, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288BK21 NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Mechanobiology Dental Medicine Research Center, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288UCL Eastman-Korea Dental Medicine Innovation Centre, Dankook University, Cheonan, 31116 South Korea
- grid.440424.20000 0004 0595 4604Department of Metallurgical and Materials Engineering, Faculty of Engineering, Atilim University, 06836 Ankara, Turkey
| | - Abinaya Jaisankar
- grid.412813.d0000 0001 0687 4946Centre for Biomaterials, Cellular and Molecular Theranostics, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014 India
| | - Lijia Cheng
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Sasirekha Krishnan
- grid.412813.d0000 0001 0687 4946Centre for Biomaterials, Cellular and Molecular Theranostics, School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014 India
| | - Liang Lan
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Anwarul Hassan
- grid.412603.20000 0004 0634 1084Department of Mechanical and Industrial Engineering, Biomedical Research Center, Qatar University, 2713, Doha, Qatar
| | - Hilal Turkoglu Sasmazel
- grid.440424.20000 0004 0595 4604Department of Metallurgical and Materials Engineering, Faculty of Engineering, Atilim University, 06836 Ankara, Turkey
| | - Hirokazu Kaji
- grid.265073.50000 0001 1014 9130Department of Biomechanics, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo, 101-0062 Japan
| | - Hans-Peter Deigner
- grid.21051.370000 0001 0601 6589Institute of Precision Medicine, Medical and Life Sciences Faculty, Furtwangen University, 78054 Villingen-Schwenningen, Germany
| | - Jose Luis Pedraz
- grid.11480.3c0000000121671098NanoBioCel 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
- grid.411982.70000 0001 0705 4288Institute of Tissue Regeneration Engineering, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Department of Nanobiomedical Science, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288BK21 NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288Mechanobiology Dental Medicine Research Center, Dankook University, Cheonan, 31116 Republic of Korea
- grid.411982.70000 0001 0705 4288UCL Eastman-Korea Dental Medicine Innovation Centre, Dankook University, Cheonan, 31116 South Korea
| | - Zheng Shi
- grid.411292.d0000 0004 1798 8975School of Basic Medical Sciences, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106 China
| | - Giovanna Marrazza
- grid.8404.80000 0004 1757 2304Department of Chemistry “Ugo Schiff”, University of Florence, 50019 Sesto Fiorentino, Florence, Italy
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26
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Cetinkaya A, Kaya SI, Ozkan SA. A Comprehensive Overview of Sensors Applications for the Diagnosis of SARS-CoV-2 and of Drugs Used in its Treatment. Crit Rev Anal Chem 2023:1-21. [PMID: 36877165 DOI: 10.1080/10408347.2023.2186693] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
During the COVID-19 process, determination-based analytical chemistry studies have had a major place at every stage. Many analytical techniques have been used in both diagnostic studies and drug analysis. Among these, electrochemical sensors are frequently preferred due to their high sensitivity, selectivity, short analysis time, reliability, ease of sample preparation, and low use of organic solvents. For the determination of drugs used in the SARS-CoV-2, such as favipiravir, molnupiravir, ribavirin, etc., electrochemical (nano)sensors are widely used in both pharmaceutical and biological samples. Diagnosis is the most critical step in the management of the disease, and electrochemical sensor tools are widely preferred for this purpose. Diagnostic electrochemical sensor tools can be biosensor-, nano biosensor-, or MIP-based sensors and utilize a wide variety of analytes such as viral proteins, viral RNA, antibodies, etc. This review overviews the sensor applications in SARS-CoV-2 in terms of diagnosis and determination of drugs by evaluating the most recent studies in the literature. In this way, it is aimed to compile the developments so far by shedding light on the most recent studies and giving ideas to researchers for future studies.
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Affiliation(s)
- Ahmet Cetinkaya
- Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Türkiye
- Graduate School of Health Sciences, Ankara University, Ankara, Türkiye
| | - S Irem Kaya
- Gulhane Faculty of Pharmacy, Department of Analytical Chemistry, University of Health Sciences, Ankara, Türkiye
| | - Sibel A Ozkan
- Faculty of Pharmacy, Department of Analytical Chemistry, Ankara University, Ankara, Türkiye
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27
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Jang YO, Kim NH, Roh Y, Koo B, Lee HJ, Kim JY, Kim SH, Shin Y. Self-directed molecular diagnostics (SdMDx) system for COVID-19 via one-pot processing. SENSORS AND ACTUATORS. B, CHEMICAL 2023; 378:133193. [PMID: 36570722 PMCID: PMC9759472 DOI: 10.1016/j.snb.2022.133193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/03/2022] [Accepted: 12/15/2022] [Indexed: 06/17/2023]
Abstract
Rapid, sensitive, and specific detection of the severe acute respiratory syndrome coronavirus (SARS-CoV)- 2 during early infection is pivotal in controlling the spread and pathological progression of Coronavirus Disease 2019 (COVID-19). Thus, highly accurate, affordable, and scalable point-of-care (POC) diagnostic technologies are necessary. Herein, we developed a rapid and efficient self-directed molecular diagnostic (SdMDx) system for SARS-CoV-2. This system combines the sample preparation step, including virus enrichment and extraction processes, which involve dimethyl suberimidate dihydrochloride and diatomaceous earth functionalized with 3-aminopropyl(diethoxy)methylsilane, and the detection step using loop-mediated isothermal amplification-lateral flow assay (LAMP-LFA). Using the SdMDx system, SARS-CoV-2 could be detected within 47 min by hand without the need for any larger instruments. The SdMDx system enabled detection as low as 0.05 PFU in the culture fluid of SARS-CoV-2-infected VeroE6 cells. We validated the accuracy of the SdMDx system on 38 clinical nasopharyngeal specimens. The clinical utility of the SdMDx system for targeting the S gene of SARS-CoV-2 showed 94.4% sensitivity and 100% specificity. This system is more sensitive than antigen and antibody assays, and it minimizes the use of complicated processes and reduces contamination risks. Accordingly, we demonstrated that the SdMDx system enables a rapid, accurate, simple, efficient, and inexpensive detection of SARS-CoV-2 at home, in emergency facilities, and in low-resource sites as a pre-screening platform and POC testing through self-operation and self-diagnosis.
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Affiliation(s)
- Yoon Ok Jang
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
| | - Nam Hun Kim
- INFUSIONTECH, 38 Heungan-daero, 427 beon-gil, Dongan-gu, Anyang-si 14059, Republic of Korea
| | - Yeonjeong Roh
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
| | - Bonhan Koo
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
| | - Hyo Joo Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
| | - Ji Yeun Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Songpa-gu, Seoul 05505, Republic of Korea
| | - Sung-Han Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Songpa-gu, Seoul 05505, Republic of Korea
| | - Yong Shin
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
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28
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Dey A, Prakash J, Das R, Shelar S, Saini A, Cherian S, Patel SC, Hassan PA, Khandekar A, Dasgupta K, Misra HS, Uppal S. Development of a rapid and ultra-sensitive RNA:DNA hybrid immunocapture based biosensor for visual detection of SARS-CoV-2 RNA. PNAS NEXUS 2023; 2:pgad031. [PMID: 36909823 PMCID: PMC9998032 DOI: 10.1093/pnasnexus/pgad031] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/23/2022] [Accepted: 01/24/2023] [Indexed: 02/04/2023]
Abstract
The Development of reliable and field-compatible detection methods is essential to monitoring and controlling the spread of any global pandemic. We herein report a novel anti-RNA:DNA hybrid (anti-RDH) antibody-based biosensor for visual, colorimetric lateral flow assay, using gold nanoparticles, coupled with transcription-mediated-isothermal-RNA-amplification (TMIRA) for specific and sensitive detection of viral RNA. We have demonstrated its utility for SARS-CoV-2 RNA detection. This technique, which we have named RDH-LFA (anti-RNA:DNA hybrid antibody-based lateral flow assay), exploits anti-RDH antibody for immunocapture of viral RNA hybridized with specific DNA probes in lateral flow assay. This method uses biotinylated-oligonucleotides (DNAB) specific to SARS-CoV-2 RNA (vRNA) to generate a vRNA-DNAB hybrid. The biotin-tagged vRNA-DNAB hybrid molecules bind to streptavidin conjugated with gold nanoparticles. This hybrid complex is trapped by the anti-RDH antibody immobilized on the nitrocellulose membrane resulting in pink color signal leading to visual naked-eye detection in 1 minute. Combining RDH-LFA with isothermal RNA amplification (TMIRA) significantly improves the sensitivity (LOD:10 copies/µl) with a total turnaround time of an hour. More importantly, RDH-LFA coupled with the TMIRA method showed 96.6% sensitivity and 100% specificity for clinical samples when compared to a commercial gold standard reverse-transcription quantitative polymerase-chain-reaction assay. Thus, the present study reports a rapid, sensitive, specific, and simple method for visual detection of viral RNA, which can be used at the point-of-care without requiring sophisticated instrumentation.
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Affiliation(s)
- Anusree Dey
- Molecular Biology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Jyoti Prakash
- Materials Group, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Rituparna Das
- Molecular Biology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Sandeep Shelar
- Chemistry Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
| | - Ajay Saini
- Molecular Biology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Susan Cherian
- Medical Division, Bhabha Atomic Research Centre, Anushakti Nagar, Mumbai, 400094, India
| | - Sofia C Patel
- Medical Division, Bhabha Atomic Research Centre, Anushakti Nagar, Mumbai, 400094, India
| | - Puthusserickal A Hassan
- Chemistry Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Ashwini Khandekar
- Medical Division, Bhabha Atomic Research Centre, Anushakti Nagar, Mumbai, 400094, India
| | - Kinshuk Dasgupta
- Materials Group, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Hari Sharan Misra
- Molecular Biology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
| | - Sheetal Uppal
- Molecular Biology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, 400085, India
- Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India
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29
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Ganbold E, Kim ES, Li Y, Yin F, Sharma PK, Jeon JB, Oh JM, Lee DN, Kim NY. Highly Sensitive Interdigitated Capacitive Humidity Sensors Based on Sponge-Like Nanoporous PVDF/LiCl Composite for Real-Time Monitoring. ACS APPLIED MATERIALS & INTERFACES 2023; 15:4559-4568. [PMID: 36633438 DOI: 10.1021/acsami.2c20499] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In this study, a sponge-like poly(vinylidene fluoride) (PVDF)/lithium chloride (LiCl) nanocomposite-entrenched interdigitated capacitive (IDC) sensor was developed for real-time humidity-sensing applications. Here, we demonstrated a sponge-like nanoporous structure ranging from 200 nm to 2 μm size holes, the PVDF/LiCl structure fabricated on an interdigitated capacitor (IDC) electrode functioning as a high-performance sensor because of the presence of ionized LiCl. The nanoporous PVDF/LiCl composite-based humidity sensor exhibited a high sensitivity of 12.6 nF/% relative humidity (RH), a linearity of 0.990, and a low hysteresis of 2.6% in the range of 25-95% RH. The composite film exhibited a response time of 17.7 s, a recovery time of 21 s, and an intensified increase of 8.02 nF/s (a decrease of 6.7 nF/s). The sensor designed demonstrates ultra-high sensing characteristics with 10 times higher sensitivity, i.e., 12.678.96 pF/%RH as compared to other polymer-based composite humidity sensors. Owing to the sensing performance and portability, the proposed nanoporous PVDF/LiCl composite-based IDC sensor is expected to be a promising platform for a wide range of humidity-sensing applications, including real-time breath monitoring and non-contact sensing.
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Affiliation(s)
- Enkhzaya Ganbold
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- Department of Electronics Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
| | - Eun Seong Kim
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
| | - Yang Li
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- School of Information Science and Engineering, University of Jinan, Jinan250022, China
| | - Feifei Yin
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
| | - Parshant Kumar Sharma
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- Department of Electronics Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
| | - Jwa-Bin Jeon
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- Department of Electronic Materials Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01890, South Korea
| | - Jong-Min Oh
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- Department of Electronic Materials Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01890, South Korea
| | - Do Nam Lee
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- NDAC Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- Ingenium College of Liberal Arts (Chemistry), Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
| | - Nam Young Kim
- RFIC Bio Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- Department of Electronics Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
- NDAC Centre, Kwangwoon University, 20 Kwangwoon-ro, Nowon-Gu, Seoul01897, South Korea
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Chaudhary V, Khanna V, Ahmed Awan HT, Singh K, Khalid M, Mishra YK, Bhansali S, Li CZ, Kaushik A. Towards hospital-on-chip supported by 2D MXenes-based 5 th generation intelligent biosensors. Biosens Bioelectron 2023; 220:114847. [PMID: 36335709 PMCID: PMC9605918 DOI: 10.1016/j.bios.2022.114847] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/19/2022] [Accepted: 10/20/2022] [Indexed: 12/12/2022]
Abstract
Existing public health emergencies due to fatal/infectious diseases such as coronavirus disease (COVID-19) and monkeypox have raised the paradigm of 5th generation portable intelligent and multifunctional biosensors embedded on a single chip. The state-of-the-art 5th generation biosensors are concerned with integrating advanced functional materials with controllable physicochemical attributes and optimal machine processability. In this direction, 2D metal carbides and nitrides (MXenes), owing to their enhanced effective surface area, tunable physicochemical properties, and rich surface functionalities, have shown promising performances in biosensing flatlands. Moreover, their hybridization with diversified nanomaterials caters to their associated challenges for the commercialization of stability due to restacking and oxidation. MXenes and its hybrid biosensors have demonstrated intelligent and lab-on-chip prospects for determining diverse biomarkers/pathogens related to fatal and infectious diseases. Recently, on-site detection has been clubbed with solution-on-chip MXenes by interfacing biosensors with modern-age technologies, including 5G communication, internet-of-medical-things (IoMT), artificial intelligence (AI), and data clouding to progress toward hospital-on-chip (HOC) modules. This review comprehensively summarizes the state-of-the-art MXene fabrication, advancements in physicochemical properties to architect biosensors, and the progress of MXene-based lab-on-chip biosensors toward HOC solutions. Besides, it discusses sustainable aspects, practical challenges and alternative solutions associated with these modules to develop personalized and remote healthcare solutions for every individual in the world.
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Affiliation(s)
- Vishal Chaudhary
- Research Cell & Department of Physics, Bhagini Nivedita College, University of Delhi, Delhi, 110043, India; SUMAN Laboratory (SUstainable Materials & Advanced Nanotechnology Lab), New Delhi 110072, India.
| | - Virat Khanna
- Department of Mechanical Engineering, MAIT, Maharaja Agrasen University, HP, 174103, India
| | - Hafiz Taimoor Ahmed Awan
- Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No. 5, Jalan University, Bandar Sunway, 47500, Petaling Jaya, Selangor, Malaysia
| | - Kamaljit Singh
- Department of Mechanical Engineering, MAIT, Maharaja Agrasen University, HP, 174103, India
| | - Mohammad Khalid
- Graphene & Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No. 5, Jalan University, Bandar Sunway, 47500, Petaling Jaya, Selangor, Malaysia; Sunway Materials Smart Science & Engineering (SMS2E) Research Cluster, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500, Petaling Jaya, Selangor, Malaysia
| | - Yogendra Kumar Mishra
- Mads Clausen Institute, NanoSYD, University of Southern Denmark, Alison 2, Sønderborg, 6400, Denmark
| | - Shekhar Bhansali
- Department of Electrical and Computing Engineering, Florida International University, Miami, FL, 33174, USA
| | - Chen-Zhong Li
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA, 70112, USA; Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA, 70112, USA.
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL, 33805, USA; School of Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India.
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31
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Promja S, Puenpa J, Achakulvisut T, Poovorawan Y, Lee SY, Athamanolap P, Lertanantawong B. Machine Learning-Assisted Real-Time Polymerase Chain Reaction and High-Resolution Melt Analysis for SARS-CoV-2 Variant Identification. Anal Chem 2023; 95:2102-2109. [PMID: 36633573 PMCID: PMC9843624 DOI: 10.1021/acs.analchem.2c05112] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 12/29/2022] [Indexed: 01/13/2023]
Abstract
Since the declaration of COVID-19 as a pandemic in early 2020, multiple variants of the severe acute respiratory syndrome-related coronavirus (SARS-CoV-2) have been detected. The emergence of multiple variants has raised concerns due to their impact on public health. Therefore, it is crucial to distinguish between different viral variants. Here, we developed a machine learning web-based application for SARS-CoV-2 variant identification via duplex real-time polymerase chain reaction (PCR) coupled with high-resolution melt (qPCR-HRM) analysis. As a proof-of-concept, we investigated the platform's ability to identify the Alpha, Delta, and wild-type strains using two sets of primers. The duplex qPCR-HRM could identify the two variants reliably in as low as 100 copies/μL. Finally, the platform was validated with 167 nasopharyngeal swab samples, which gave a sensitivity of 95.2%. This work demonstrates the potential for use as automated, cost-effective, and large-scale viral variant surveillance.
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Affiliation(s)
- Sutossarat Promja
- Department
of Biomedical Engineering, Faculty of Engineering, Mahidol University, Salaya 73170, Nakhon Pathom, Thailand
| | - Jiratchaya Puenpa
- Center
of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Titipat Achakulvisut
- Department
of Biomedical Engineering, Faculty of Engineering, Mahidol University, Salaya 73170, Nakhon Pathom, Thailand
| | - Yong Poovorawan
- Center
of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Su Yin Lee
- Faculty
of Applied Sciences, AIMST University, Bedong, Kedah 08100, Malaysia
| | - Pornpat Athamanolap
- Department
of Biomedical Engineering, Faculty of Engineering, Mahidol University, Salaya 73170, Nakhon Pathom, Thailand
- Integrative
Computational BioScience (ICBS) Center, Mahidol University, Salaya 73170, Nakhon Pathom, Thailand
| | - Benchaporn Lertanantawong
- Department
of Biomedical Engineering, Faculty of Engineering, Mahidol University, Salaya 73170, Nakhon Pathom, Thailand
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Patel SK, Surve J, Parmar J, Ahmed K, Bui FM, Al-Zahrani FA. Recent Advances in Biosensors for Detection of COVID-19 and Other Viruses. IEEE Rev Biomed Eng 2023; 16:22-37. [PMID: 36197867 PMCID: PMC10009816 DOI: 10.1109/rbme.2022.3212038] [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: 03/21/2022] [Revised: 06/28/2022] [Accepted: 09/23/2022] [Indexed: 11/06/2022]
Abstract
This century has introduced very deadly, dangerous, and infectious diseases to humankind such as the influenza virus, Ebola virus, Zika virus, and the most infectious SARS-CoV-2 commonly known as COVID-19 and have caused epidemics and pandemics across the globe. For some of these diseases, proper medications, and vaccinations are missing and the early detection of these viruses will be critical to saving the patients. And even the vaccines are available for COVID-19, the new variants of COVID-19 such as Delta, and Omicron are spreading at large. The available virus detection techniques take a long time, are costly, and complex and some of them generates false negative or false positive that might cost patients their lives. The biosensor technique is one of the best qualified to address this difficult challenge. In this systematic review, we have summarized recent advancements in biosensor-based detection of these pandemic viruses including COVID-19. Biosensors are emerging as efficient and economical analytical diagnostic instruments for early-stage illness detection. They are highly suitable for applications related to healthcare, wearable electronics, safety, environment, military, and agriculture. We strongly believe that these insights will aid in the study and development of a new generation of adaptable virus biosensors for fellow researchers.
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Affiliation(s)
- Shobhit K. Patel
- Department of Computer EngineeringMarwadi UniversityRajkot360003India
| | - Jaymit Surve
- Department of Electrical EngineeringMarwadi UniversityRajkot360003India
| | - Juveriya Parmar
- Department of Mechanical and Materials EngineeringUniversity of Nebraska - LincolnNebraska68588USA
- Department of Electronics and Communication EngineeringMarwadi UniversityRajkot360003India
| | - Kawsar Ahmed
- Department of Electrical and Computer EngineeringUniversity of SaskatchewanSaskatoonSKS79 5A9Canada
- Group of Bio-PhotomatiX, Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh
| | - Francis M. Bui
- Department of Electrical and Computer EngineeringUniversity of SaskatchewanSaskatoonSKS79 5A9Canada
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Parihar A, Yadav S, Sadique MA, Ranjan P, Kumar N, Singhal A, Khare V, Khan R, Natarajan S, Srivastava AK. Internet‐of‐medical‐things integrated point‐of‐care biosensing devices for infectious diseases: Toward better preparedness for futuristic pandemics. Bioeng Transl Med 2023; 8:e10481. [DOI: 10.1002/btm2.10481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/15/2022] [Accepted: 12/19/2022] [Indexed: 01/04/2023] Open
Affiliation(s)
- Arpana Parihar
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
| | - Shalu Yadav
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
| | - Mohd Abubakar Sadique
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
| | - Pushpesh Ranjan
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
| | - Neeraj Kumar
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
| | - Ayushi Singhal
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
| | - Vedika Khare
- School of Nanotechnology, UTD, RGPV Campus Bhopal Madhya Pradesh India
| | - Raju Khan
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
| | - Sathish Natarajan
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
| | - Avanish K. Srivastava
- Industrial Waste Utilization, Nano and Biomaterials, CSIR‐Advanced Materials and Processes Research Institute (AMPRI) Bhopal Madhya Pradesh India
- Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India
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Cancer bioimaging using dual mode luminescence of graphene/FA-ZnO nanocomposite based on novel green technique. Sci Rep 2023; 13:27. [PMID: 36593329 PMCID: PMC9807650 DOI: 10.1038/s41598-022-27111-z] [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: 07/10/2022] [Accepted: 12/26/2022] [Indexed: 01/04/2023] Open
Abstract
Graphene based nanomaterials are explored in the field of cancer bioimaging and biomedical science and engineering. The luminescent nanostructures with a low toxicity and high photostability can be used as probes in bioimaging applications. This work is aimed to prepare graphene/folic acid-zinc oxide (GN/FA-ZnO) nanocomposite with dual-mode emissions (down-conversion and up-conversion) to be used in cancer bioimaging. The dual mode emissions offer long luminescence lifetime, multicolor emissions detected by the naked eyes after excitation and narrow band absorption and emission spectra. ZnO nanospheres and nanorods structures were prepared using co-precipitation technique and were conjugated with FA to separate the bulk graphite layers electrostatically into GN. The optical, morphological, surface charge and structural properties of the prepared nanostructures were investigated and discussed using different characterization techniques such as UV-visible spectroscopy, photoluminescence (PL) spectroscopy, scanning electron microscope (SEM), high resolution transmission electron microscope (HRTEM), Zeta potential, Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), X-ray powder diffraction (XRD), and Fourier transform infrared (FTIR). GN/FA-ZnO nanocomposites were injected into Swiss albino mice implanted with Ehrlich Tumor and the bioimaging was investigated using photon imager and digital camera. The results showed clear fluorescence and confirmed that the green design of GN/FA-ZnO nanocomposite with targeting behavior was capable of selective bioimaging of the tumor. This study presented a novel dual mode emission nanocomposite for tumor targeting and is a promising strategy for the fabrication of a new design of spectral encoding.
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Kujawska M, Mostafavi E, Kaushik A. SARS-CoV-2 getting into the brain; neurological phenotype of COVID-19, and management by nano-biotechnology. Neural Regen Res 2023; 18:519-520. [DOI: 10.4103/1673-5374.346486] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
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36
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Li D, Sun C, Mei X, Yang L. Achieving broad availability of SARS-CoV-2 detections via smartphone-based analysis. Trends Analyt Chem 2023; 158:116878. [PMID: 36506266 PMCID: PMC9728015 DOI: 10.1016/j.trac.2022.116878] [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: 08/15/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
With the development of COVID-19, widely available tests are in great demand. Naked-eye SARS-CoV-2 test kits have recently been developed as home tests, but their sensitivity and accuracy are sometimes limited. Smartphones can convert various signals into digital information, potentially improving the sensitivity and accuracy of these home tests. Herein, we summarize smartphone-based detections for SARS-CoV-2. Optical detections of non-nucleic acids using various sensors and portable imaging systems, as well as nucleic acid analyses based on LAMP, CRISP, CATCH, and biosensors are discussed. Furthermore, different electrochemical detections were compared. We show results obtained using relatively complex equipment, complicated programming procedures, or custom smartphone apps, and describe methods for obtaining information with only simple setups and free software on smartphones. Then, the combined costs of typical smartphone-based detections are evaluated. Finally, the prospect of improving smartphone-based strategies to achieve broad availability of SARS-CoV-2 detection is proposed.
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Affiliation(s)
- Dan Li
- Jinzhou Medical University, Jinzhou, China
| | - Cai Sun
- AECC Shenyang Liming Aero-Engine Co, Ltd., Shenyang, China
| | - Xifan Mei
- Jinzhou Medical University, Jinzhou, China,Corresponding author
| | - Liqun Yang
- NHC Key Laboratory of Reproductive Health and Medical Genetics (China Medical University), Liaoning Research Institute of Family Planning (The Affiliated Reproductive Hospital of China Medical University), Shenyang, China,Corresponding author
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37
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Khondakar KR, Kaushik A. Role of Wearable Sensing Technology to Manage Long COVID. BIOSENSORS 2022; 13:62. [PMID: 36671900 PMCID: PMC9855989 DOI: 10.3390/bios13010062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/19/2022] [Accepted: 12/26/2022] [Indexed: 06/17/2023]
Abstract
Long COVID consequences have changed the perception towards disease management, and it is moving towards personal healthcare monitoring. In this regard, wearable devices have revolutionized the personal healthcare sector to track and monitor physiological parameters of the human body continuously. This would be largely beneficial for early detection (asymptomatic and pre-symptomatic cases of COVID-19), live patient conditions, and long COVID monitoring (COVID recovered patients and healthy individuals) for better COVID-19 management. There are multitude of wearable devices that can observe various human body parameters for remotely monitoring patients and self-monitoring mode for individuals. Smart watches, smart tattoos, rings, smart facemasks, nano-patches, etc., have emerged as the monitoring devices for key physiological parameters, such as body temperature, respiration rate, heart rate, oxygen level, etc. This review includes long COVID challenges for frequent monitoring of biometrics and its possible solution with wearable device technologies for diagnosis and post-therapy of diseases.
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Affiliation(s)
- Kamil Reza Khondakar
- School of Health Sciences and Technology, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805-8531, USA
- Department of Chemical Engineering, University of Johannesburg, Johannesburg 2094, South Africa
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38
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Li Y, Qiao J, Han X, Zhao Z, Kou J, Zhang W, Man S, Ma L. Needs, Challenges and Countermeasures of SARS-CoV-2 Surveillance in Cold-Chain Foods and Packaging to Prevent Possible COVID-19 Resurgence: A Perspective from Advanced Detections. Viruses 2022; 15:120. [PMID: 36680157 PMCID: PMC9864631 DOI: 10.3390/v15010120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/22/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
The pandemic caused by SARS-CoV-2 has a huge impact on the global economy. SARS-CoV-2 could possibly and potentially be transmitted to humans through cold-chain foods and packaging (namely good-to-human), although it mainly depends on a human-to-human route. It is imperative to develop countermeasures to cope with the spread of viruses and fulfil effective surveillance of cold-chain foods and packaging. This review outlined SARS-CoV-2-related cold-chain food incidents and current methods for detecting SARS-CoV-2. Then the needs, challenges and practicable countermeasures for SARS-CoV-2 detection, specifically for cold-chain foods and packaging, were underlined. In fact, currently established detection methods for SARS-CoV-2 are mostly used for humans; thus, these may not be ideally applied to cold-chain foods directly. Therefore, it creates a need to develop novel methods and low-cost, automatic, mini-sized devices specifically for cold-chain foods and packaging. The review intended to draw people's attention to the possible spread of SARS-CoV-2 with cold-chain foods and proposed perspectives for futuristic cold-chain foods monitoring during the pandemic.
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Affiliation(s)
- Yaru Li
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Jiali Qiao
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Xiao Han
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Zhiying Zhao
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Jun Kou
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Wenlu Zhang
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Shuli Man
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
| | - Long Ma
- State Key Laboratory of Food Nutrition and Safety, Tianjin 300457, China
- Key Laboratory of Industrial Microbiology, Ministry of Education, Tianjin 300457, China
- Tianjin Key Laboratory of Industry Microbiology, National and Local United Engineering Lab of Metabolic Control Fermentation Technology, Tianjin 300457, China
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, Tianjin 300457, China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin 300457, China
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Lin YH, Tsai CN, Chen PF, Lin YT, Darvishi S, Girault HH, Lin TY, Liao MY, Lin TE. AI-Assisted Fusion of Scanning Electrochemical Microscopy Images Using Novel Soft Probe. ACS MEASUREMENT SCIENCE AU 2022; 2:576-583. [PMID: 36785775 PMCID: PMC9885998 DOI: 10.1021/acsmeasuresciau.2c00032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 06/18/2023]
Abstract
Scanning electrochemical microscopy (SECM) is one of the scanning probe techniques that has attracted considerable attention because of its ability to interrogate surface morphology or electrochemical reactivity. However, the quality of SECM images generally depends on the sizes of the electrodes and many uncontrollable factors. Furthermore, manipulating fragile glass ultramicroelectrodes and blurred images sometimes frustrate researchers. To overcome the challenges of modern SECM, we developed novel soft gold probes and then established the AI-assisted methodology for image fusion. A novel gold microelectrode probe with high softness was developed to scan fragile samples. The distribution of EGFR (protein biomarker) in oral cancer was investigated. Then, we fused the optical microscopic and SECM images to enhance the image quality using Matlab software. However, thousands of fused images were generated by changing the parameters for image fusion, which is annoying for researchers. Thus, a deep learning model was built to select the best-fused images according to the contrast and clarity of the fused images. Therefore, the quality of the SECM images was improved using a novel soft probe and combining the image fusion technique. In the future, a new scanning probe with AI-assisted fused SECM image processing may be interpreted more preciously and contribute to the early detection of cancers.
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Affiliation(s)
- Yi-Hong Lin
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Chih-Ning Tsai
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Po-Feng Chen
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Yen-Tzu Lin
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
| | - Sorour Darvishi
- Department
of Chemistry and Chemical Engineering, École
Polytechnique Fédérale de Lausanne (EPFL), Valais Wallis, CH-1950 Sion, Switzerland
| | - Hubert H. Girault
- Department
of Chemistry and Chemical Engineering, École
Polytechnique Fédérale de Lausanne (EPFL), Valais Wallis, CH-1950 Sion, Switzerland
| | - Tung-Yi Lin
- Institute
of Traditional Medicine, National Yang Ming
Chiao Tung University, Taipei 11221, Taiwan
- Biomedical
Industry Ph.D. Program, National Yang Ming
Chiao Tung University, Taipei 11221, Taiwan
| | - Mei-Yi Liao
- Department
of Applied Chemistry, National Pingtung
University, Pingtung 90003, Taiwan
| | - Tzu-En Lin
- Institute
of Biomedical Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
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Sheraz M, Mir KA, Anus A, Le VCT, Kim S, Nguyen VQ, Lee WR. SARS-CoV-2 airborne transmission: a review of risk factors and possible preventative measures using air purifiers. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2022; 24:2191-2216. [PMID: 36278886 DOI: 10.1039/d2em00333c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting worldwide death toll have prompted worries regarding its transmission mechanisms. Direct, indirect, and droplet modes are the basic mechanisms of transmission. SARS-CoV-2 spreads by respiratory droplets (size range >10 μm size ranges), aerosols (5 μm), airborne, and particulate matter. The rapid transmission of SARS-CoV-2 is due to the involvement of tiny indoor air particulate matter (PM2.5), which functions as a vector. SARS-CoV-2 is more contagious in the indoor environment where particulate matter floats for a longer period and greater distances. Extended residence time in the environment raises the risk of SARS-CoV-2 entering the lower respiratory tract, which may cause serious infection and possibly death. To decrease viral transmission in the indoor environment, it is essential to catch and kill the SARS-CoV-2 virus and maintain virus-free air, which will significantly reduce viral exposure concerns. Therefore, effective air filters with anti-viral, anti-bacterial, and anti-air-pollutant characteristics are gaining popularity recently. It is essential to develop cost-effective materials based on nanoparticles and metal-organic frameworks in order to lower the risk of airborne transmission in developing countries. A diverse range of materials play an important role in the manufacturing of effective air filters. We have summarized in this review article the basic concepts of the transmission routes of SARS-CoV-2 virus and precautionary measures using air purifiers with efficient materials-based air filters for the indoor environment. The performance of air-filter materials, challenges and alternative approaches, and future perspectives are also presented. We believe that air purifiers fabricated with highly efficient materials can control various air pollutants and prevent upcoming pandemics.
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Affiliation(s)
- Mahshab Sheraz
- Research Centre for Climate Change and Energy, Department of Environmental Sciences and Biotechnology, Hallym University, Chuncheon-si, 24252, Republic of Korea
- Nano-Innotek Corporation, 123, Digital-ro 26 Gil, Guro-gu, Seoul, South Korea
| | - Kaleem Anwar Mir
- Research Centre for Climate Change and Energy, Department of Environmental Sciences and Biotechnology, Hallym University, Chuncheon-si, 24252, Republic of Korea
- Global Change Impact Studies Centre, Ministry of Climate Change, Government of Pakistan, Islamabad, 44000, Pakistan
| | - Ali Anus
- Research Centre for Climate Change and Energy, Department of Environmental Sciences and Biotechnology, Hallym University, Chuncheon-si, 24252, Republic of Korea
- Nano-Innotek Corporation, 123, Digital-ro 26 Gil, Guro-gu, Seoul, South Korea
| | - Van Cam Thi Le
- Research Centre for Climate Change and Energy, Department of Environmental Sciences and Biotechnology, Hallym University, Chuncheon-si, 24252, Republic of Korea
- Nano-Innotek Corporation, 123, Digital-ro 26 Gil, Guro-gu, Seoul, South Korea
- School of Chemical, Biological, and Materials Engineering, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Seungdo Kim
- Research Centre for Climate Change and Energy, Department of Environmental Sciences and Biotechnology, Hallym University, Chuncheon-si, 24252, Republic of Korea
- Nano-Innotek Corporation, 123, Digital-ro 26 Gil, Guro-gu, Seoul, South Korea
- Environment Strategy Development Institute, Hallym University, Chuncheon-si 24252, South Korea
| | - Van Quyet Nguyen
- Nano-Innotek Corporation, 123, Digital-ro 26 Gil, Guro-gu, Seoul, South Korea
| | - Woo Ram Lee
- Department of Chemistry, School of Future Convergence, Hallym University, Engineering Building# 1348, 1 Hallymdaehak-gil, Chuncheon-si 24252, Gangwon-do, South Korea.
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Ali A, Zhang GF, Hu C, Yuan B, Jahan S, Kitsios GD, Morris A, Gao SJ, Panat R. Ultrarapid and ultrasensitive detection of SARS-CoV-2 antibodies in COVID-19 patients via a 3D-printed nanomaterial-based biosensing platform. J Med Virol 2022; 94:5808-5826. [PMID: 35981973 PMCID: PMC9538259 DOI: 10.1002/jmv.28075] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/07/2022] [Accepted: 08/17/2022] [Indexed: 01/06/2023]
Abstract
Rapid detection of antibodies during infection and after vaccination is critical for the control of infectious outbreaks, understanding immune response, and evaluating vaccine efficacy. In this manuscript, we evaluate a simple ultrarapid test for SARS-CoV-2 antibodies in COVID-19 patients, which gives quantitative results (i.e., antibody concentration) in 10-12 s using a previously reported nanomaterial-based three-dimensional (3D)-printed biosensing platform. This platform consists of a micropillar array electrode fabricated via 3D printing of aerosolized gold nanoparticles and coated with nanoflakes of graphene and specific SARS-CoV-2 antigens, including spike S1, S1 receptor-binding domain (RBD) and nucleocapsid (N). The sensor works on the principle of electrochemical transduction, where the change of sensor impedance is realized by the interactions between the viral proteins attached to the sensor electrode surface and the antibodies. The three sensors were used to test samples from 17 COVID-19 patients and 3 patients without COVID-19. Unlike other serological tests, the 3D sensors quantitatively detected antibodies at a concentration as low as picomole within 10-12 s in human plasma samples. We found that the studied COVID-19 patients had higher concentrations of antibodies to spike proteins (RBD and S1) than to the N protein. These results demonstrate the enormous potential of the rapid antibody test platform for understanding patients' immunity, disease epidemiology and vaccine efficacy, and facilitating the control and prevention of infectious epidemics.
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Affiliation(s)
- Azahar Ali
- Department of Mechanical Engineering, Carnegie Mellon
University, Pittsburgh, PA, 15213 USA
- Current address: Department of Animal and Poultry Sciences,
Virginia Tech, Blacksburg, VA, 24061 USA
| | - George Fei Zhang
- Cancer Virology Program, UPMC Hillman Cancer Center and
Department of Microbiology and Molecular Genetics, University of Pittsburgh School
of Medicine, Pittsburgh, PA, 15213 USA
| | - Chunshan Hu
- Department of Mechanical Engineering, Carnegie Mellon
University, Pittsburgh, PA, 15213 USA
| | - Bin Yuan
- Department of Mechanical Engineering, Carnegie Mellon
University, Pittsburgh, PA, 15213 USA
| | - Sanjida Jahan
- Department of Mechanical Engineering, Carnegie Mellon
University, Pittsburgh, PA, 15213 USA
| | - Georgios D. Kitsios
- Division of Pulmonary, Allergy and Critical Care Medicine,
Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA,
15213 USA
| | - Alison Morris
- Division of Pulmonary, Allergy and Critical Care Medicine,
Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA,
15213 USA
| | - Shou-Jiang Gao
- Cancer Virology Program, UPMC Hillman Cancer Center and
Department of Microbiology and Molecular Genetics, University of Pittsburgh School
of Medicine, Pittsburgh, PA, 15213 USA
| | - Rahul Panat
- Department of Mechanical Engineering, Carnegie Mellon
University, Pittsburgh, PA, 15213 USA
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Byakodi M, Shrikrishna NS, Sharma R, Bhansali S, Mishra Y, Kaushik A, Gandhi S. Emerging 0D, 1D, 2D, and 3D nanostructures for efficient point-of-care biosensing. BIOSENSORS & BIOELECTRONICS: X 2022; 12:100284. [PMID: 36448023 PMCID: PMC9691282 DOI: 10.1016/j.biosx.2022.100284] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 04/12/2023]
Abstract
The recent COVID-19 infection outbreak has raised the demand for rapid, highly sensitive POC biosensing technology for intelligent health and wellness. In this direction, efforts are being made to explore high-performance nano-systems for developing novel sensing technologies capable of functioning at point-of-care (POC) applications for quick diagnosis, data acquisition, and disease management. A combination of nanostructures [i.e., 0D (nanoparticles & quantum dots), 1D (nanorods, nanofibers, nanopillars, & nanowires), 2D (nanosheets, nanoplates, nanopores) & 3D nanomaterials (nanocomposites and complex hierarchical structures)], biosensing prototype, and micro-electronics makes biosensing suitable for early diagnosis, detection & prevention of life-threatening diseases. However, a knowledge gap associated with the potential of 0D, 1D, 2D, and 3D nanostructures for the design and development of efficient POC sensing is yet to be explored carefully and critically. With this focus, this review highlights the latest engineered 0D, 1D, 2D, and 3D nanomaterials for developing next-generation miniaturized, portable POC biosensors development to achieve high sensitivity with potential integration with the internet of medical things (IoMT, for miniaturization and data collection, security, and sharing), artificial intelligence (AI, for desired analytics), etc. for better diagnosis and disease management at the personalized level.
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Affiliation(s)
- Manisha Byakodi
- DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India
| | - Narlawar Sagar Shrikrishna
- DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India
- DBT-Regional Centre for Biotechnology (RCB), Faridabad, 121001, Haryana (NCR Delhi), India
| | - Riya Sharma
- DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India
| | - Shekhar Bhansali
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, 33174, USA
| | - Yogendra Mishra
- Mads Clausen Institute, NanoSYD, University of Southern Denmark, Alsion 2, 6400, Sønderborg, Denmark
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL, USA
| | - Sonu Gandhi
- DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India
- DBT-Regional Centre for Biotechnology (RCB), Faridabad, 121001, Haryana (NCR Delhi), India
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Banitaba SN, Ebadi SV, Salimi P, Bagheri A, Gupta A, Arifeen WU, Chaudhary V, Mishra YK, Kaushik A, Mostafavi E. Biopolymer-based electrospun fibers in electrochemical devices: versatile platform for energy, environment, and health monitoring. MATERIALS HORIZONS 2022; 9:2914-2948. [PMID: 36226580 DOI: 10.1039/d2mh00879c] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Electrochemical power tools are regarded as essential keys in a world that is becoming increasingly reliant on fossil fuels in order to meet the challenges of rapidly depleting fossil fuel supplies. Additionally, due to the industrialization of societies and the growth of diseases, the need for sensitive, reliable, inexpensive, and portable sensors and biosensors for noninvasive monitoring of human health and environmental pollution is felt more than ever before. In recent decades, electrospun fibers have emerged as promising candidates for the fabrication of highly efficient electrochemical devices, such as actuators, batteries, fuel cells, supercapacitors, and biosensors. Meanwhile, the use of synthetic polymers in the fabrication of versatile electrochemical devices has raised environmental concerns, leading to an increase in the quest for natural polymers. Natural polymers are primarily derived from microorganisms and plants. Despite the challenges of processing bio-based electrospun fibers, employing natural nanofibers in the fabrication of electrochemical devices has garnered tremendous attention in recent years. Here, various natural polymers and the strategies employed to fabricate various electrospun biopolymers are briefly covered. The recent advances and research strategies used to apply the bio-based electrospun membranes in different electrochemical devices are carefully summarized, along with the scopes in various advanced technologies. A comprehensive and critical discussion about the use of biopolymer-based electrospun fibers as the potential alternative to non-renewable ones in future technologies is briefly highlighted. This review will serve as a field opening platform for using different biopolymer-based electrospun fibers to advance the electrochemical device-based renewable and sustainable technologies, which will be of high interest to a large community. Accordingly, future studies should focus on feasible and cost-effective extraction of biopolymers from natural resources as well as fabrication of high-performance nanofibrous biopolymer-based components applicable in various electrochemical devices.
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Affiliation(s)
- Seyedeh Nooshin Banitaba
- Department of Textile Engineering, Amirkabir University of Technology, Tehran 159163-4311, Iran.
| | - Seyed Vahid Ebadi
- Department of Textile Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran
| | - Pejman Salimi
- Istituto Italiano di Tecnologia, via Morego 30, Genova 16163, Italy
- Department of Chemistry and Industrial Chemistry, University of Genova, via Dodecaneso 31, I-16146 Genova, Italy
| | - Ahmad Bagheri
- Istituto Italiano di Tecnologia, via Morego 30, Genova 16163, Italy
- Faculty of Chemistry and Food Chemistry and Center for Advancing Electronics Dresden (cfaed), Technische Universitate Dresden, Dresden 01062, Germany
| | - Ashish Gupta
- Department of Physics, National Institute of Technology, Kurukshetra, Haryana, India
| | - Waqas Ul Arifeen
- School of Mechanical Engineering, Yeungnam University, 280 Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do, 38541, South Korea
| | - Vishal Chaudhary
- Research Cell & Department of Physics, Bhagini Nivedita College, University of Delhi, Delhi 110043, India
| | - Yogendra Kumar Mishra
- Mads Clausen Institute, NanoSYD, Smart Materials, University of Southern Denmark, Alsion 2, 6400, Sønderborg, Denmark
| | - Ajeet Kaushik
- NanoBioTech Laboratory, Health Systems Engineering, Department of Natural Sciences, Florida Polytechnic University, Lakeland, Florida, USA
- School of Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India
| | - Ebrahim Mostafavi
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
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Strong anti-viral nano biocide based on Ag/ZnO modified by amodiaquine as an antibacterial and antiviral composite. Sci Rep 2022; 12:19934. [PMID: 36402913 PMCID: PMC9675852 DOI: 10.1038/s41598-022-24540-8] [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: 06/18/2022] [Accepted: 11/16/2022] [Indexed: 11/21/2022] Open
Abstract
In this paper, we synthesized Ag/ZnO composite colloidal nanoparticles and the surface of nanoparticles was improved by amodiaquine ligand. The synthesized nanoparticles were characterized using the XRD diffraction pattern, FT-IR Spectroscopy, TEM image, and UV-Vis spectroscopy. The antibacterial, antifungal, and antiviral effects of the synthesized colloid were examined on E.coli, Staphylococcus aureus, Pseudomonas aeruginosa, and Enterococcus hirae bacteria, and Candida Albicans and form spore aspergillus fungi, also influenza, herpes simplex, and covid 19 viruses. The results indicate more than 7 log removal of the bacteria, fungi, and viruses by synthesized colloid with a concentration of 15 μg/L (Ag)/50 µg/ml (ZnO). This removal for covid 19 virus is from 3.2 × 108 numbers to 21 viruses within 30 s. Also, irritation and toxicity tests of the synthesized colloid show harmless effects on human cells and tissues. These colloidal nanoparticles were used as mouthwash solution and their clinical tests were done on 500 people infected by the coronavirus. The results indicate that by washing their mouth and nose three times on day all patients got healthy at different times depending on the depth of the disease. Almost all people with no signs of infection and using this solution as a mouthwash didn't infect by the virus during the study.
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Application of Nanotechnology in COVID-19 Infection: Findings and Limitations. JOURNAL OF NANOTHERANOSTICS 2022. [DOI: 10.3390/jnt3040014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
There is an urgent need to address the global mortality of the COVID-19 pandemic, as it reached 6.3 million as of July 2022. As such, the experts recommended the mass diagnosis of SARS-CoV-2 infection at an early stage using nanotechnology-based sensitive diagnostic approaches. The development of nanobiosensors for Point-of-Care (POC) sampling of COVID-19 could ensure mass detection without the need for sophisticated laboratories or expert personnel. The use of Artificial Intelligence (AI) techniques for POC detection was also proposed. In addition, the utilization of various antiviral nanomaterials such as Silver Nanoparticles (AgNPs) for the development of masks for personal protection mitigates viral transmission. Nowadays, nano-assisted vaccines have been approved for emergency use, but their safety and effectiveness in the mutant strain of the SARS-CoV-2 virus remain challenging. Methodology: Updated literature was sourced from various research indexing databases such as PubMed, SCOPUS, Science Direct, Research Gate and Google Scholars. Result: We presented the concept of novel nanotechnology researched discovery, including nano-devices, electrochemical biosensing, nano-assisted vaccine, and nanomedicines, for use in recent times, which could be a formidable step for future management of COVID-19.
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Bhattacharjee R, Dubey AK, Ganguly A, Bhattacharya B, Mishra YK, Mostafavi E, Kaushik A. State-of-art high-performance Nano-systems for mutated coronavirus infection management: From Lab to Clinic. OPENNANO 2022. [PMCID: PMC9463543 DOI: 10.1016/j.onano.2022.100078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants made emerging novel coronavirus diseases (COVID-19) pandemic/endemic/or both more severe and difficult to manage due to increased worry about the efficacy and efficiency of present preventative, therapeutic, and sensing measures. To deal with these unexpected circumstances, the development of novel nano-systems with tuneable optical, electrical, magnetic, and morphological properties can lead to novel research needed for (1) COVID-19 infection (anti-microbial systems against SARS-CoV-2), (2) early detection of mutated SARS-CoV-2, and (3) targeted delivery of therapeutics using nano-systems, i.e., nanomedicine. However, there is a knowledge gap in understanding all these nano-biotechnology potentials for managing mutated SARS-CoV-2 on a single platform. To bring up the aspects of nanotechnology to tackle SARS-CoV-2 variants related COVID-19 pandemic, this article emphasizes improvements in the high-performance of nano-systems to combat SARS-CoV-2 strains/variants with a goal of managing COVID-19 infection via trapping, eradication, detection/sensing, and treatment of virus. The potential of state-of-the-art nano-assisted approaches has been demonstrated as an efficient drug delivery systems, viral disinfectants, vaccine productive cargos, anti-viral activity, and biosensors suitable for point-of-care (POC) diagnostics. Furthermore, the process linked with the efficacy of nanosystems to neutralize and eliminate SARS-CoV-2 is extensively highligthed in this report. The challenges and opportunities associated with managing COVID-19 using nanotechnology as part of regulations are also well-covered. The outcomes of this review will help researchers to design, investigate, and develop an appropriate nano system to manage COVID-19 infection, with a focus on the detection and eradication of SARS-CoV-2 and its variants. This article is unique in that it discusses every aspect of high-performance nanotechnology for ideal COVID pandemic management.
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Wasfi A, Awwad F, Qamhieh N, Al Murshidi B, Palakkott AR, Gelovani JG. Real-time COVID-19 detection via graphite oxide-based field-effect transistor biosensors decorated with Pt/Pd nanoparticles. Sci Rep 2022; 12:18155. [PMID: 36307495 PMCID: PMC9614753 DOI: 10.1038/s41598-022-22249-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/12/2022] [Indexed: 12/31/2022] Open
Abstract
Coronavirus 2019 (COVID-19) spreads an extremely infectious disease where there is no specific treatment. COVID-19 virus had a rapid and unexpected spread rate which resulted in critical difficulties for public health and unprecedented daily life disruption. Thus, accurate, rapid, and early diagnosis of COVID-19 virus is critical to maintain public health safety. A graphite oxide-based field-effect transistor (GO-FET) was fabricated and functionalized with COVID-19 antibody for the purpose of real-time detection of COVID-19 spike protein antigen. Thermal evaporation process was used to deposit the gold electrodes on the surface of the sensor substrate. Graphite oxide channel was placed between the gold electrodes. Bimetallic nanoparticles of platinum and palladium were generated via an ultra-high vacuum (UHV) compatible system by sputtering and inert-gas condensation technique. The biosensor graphite oxide channel was immobilized with specific antibodies against the COVID-19 spike protein to achieve selectivity and specificity. This technique uses the attractive semiconductor characteristics of the graphite oxide-based materials resulting in highly specific and sensitive detection of COVID-19 spike protein. The GO-FET biosensor was decorated with bimetallic nanoparticles of platinum and palladium to investigate the improvement in the sensor sensitivity. The in-house developed biosensor limit of detection (LOD) is 1 fg/mL of COVID-19 spike antigen in phosphate-buffered saline (PBS). Moreover, magnetic labelled SARS-CoV-2 spike antibody were studied to investigate any enhancement in the sensor performance. The results indicate the successful fabrication of a promising field effect transistor biosensor for COVID-19 diagnosis.
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Affiliation(s)
- Asma Wasfi
- Department of Electrical and Communication Engineering, College of Engineering, United Arab Emirates University, P. O. Box 15551, Al Ain, United Arab Emirates
- Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Falah Awwad
- Department of Electrical and Communication Engineering, College of Engineering, United Arab Emirates University, P. O. Box 15551, Al Ain, United Arab Emirates.
- Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
| | - Naser Qamhieh
- Department of Physics, College of Science, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
- Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Badria Al Murshidi
- Department of Biology, College of Science, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
- Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Abdul Rasheed Palakkott
- Department of Biology, College of Science, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates
- Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Juri George Gelovani
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
- Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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Singh A, Singh P, Kumar R, Kaushik A. Exploring nanoselenium to tackle mutated SARS-CoV-2 for efficient COVID-19 management. FRONTIERS IN NANOTECHNOLOGY 2022. [DOI: 10.3389/fnano.2022.1004729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Despite ongoing public health measures and increasing vaccination rates, deaths and disease severity caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its new emergent variants continue to threaten the health of people around the world. Therefore, there is an urgent need to develop novel strategies for research, diagnosis, treatment, and government policies to combat the variant strains of SARS-CoV-2. Since the state-of-the-art COVID-19 pandemic, the role of selenium in dealing with COVID-19 disease has been widely discussed due to its importance as an essential micronutrient. This review aims at providing all antiviral activities of nanoselenium (Nano-Se) ever explored using different methods in the literature. We systematically summarize the studied antiviral activities of Nano-Se required to project it as an efficient antiviral system as a function of shape, size, and synthesis method. The outcomes of this article not only introduce Nano-Se to the scientific community but also motivate scholars to adopt Nano-Se to tackle any serious virus such as mutated SARS-CoV-2 to achieve an effective antiviral activity in a desired manner.
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Shahdeo D, Roberts A, Archana GJ, Shrikrishna NS, Mahari S, Nagamani K, Gandhi S. Label free detection of SARS CoV-2 Receptor Binding Domain (RBD) protein by fabrication of gold nanorods deposited on electrochemical immunosensor (GDEI). Biosens Bioelectron 2022; 212:114406. [PMID: 35635976 PMCID: PMC9121652 DOI: 10.1016/j.bios.2022.114406] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 05/17/2022] [Indexed: 12/18/2022]
Abstract
Coronavirus Disease 2019 (COVID-19) pandemic has shown the need for early diagnosis to manage infectious disease outbreaks. Here, we report a label free electrochemical Fluorine-Doped Tin Oxide (FTO) Immunosensor coupled with gold nanorods (GNRs) as an electron carrier for ultrasensitive detection of the Receptor Binding Domain (RBD) of SARS CoV-2 Spike protein. The RBD gene was cloned, and expressed in-house with confirmed molecular weight of ∼31 kDa via Sodium Dodecyl Sulphate-Polyacrylamide Gel Electrophoresis (SDS-PAGE) and Matrix-Assisted Laser Desorption/Ionization-Time of Flight (MALDI-TOF). RBD antibodies (Ab) were generated to be used as a bioreceptor for sensor fabrication, and characterized using SDS-PAGE, Western Blot, and Enzyme-Linked Immunosorbent Assay (ELISA). GNRs were fabricated on the electrode surface, followed by immobilization of RBD Ab. The conjugation steps were confirmed by UV-Vis Spectroscopy, Dynamic Light Scattering (DLS), Atomic Force Microscopy (AFM), Transmission Electron Microscopy (TEM), Cyclic Voltammetry (CV), and Differential Pulse Voltammetry (DPV). The fabricated electrode was further optimized for maximum efficiency and output. The detection limit of the developed electrode was determined as 0.73 fM for RBD antigen (Ag). Furthermore, the patient nasopharyngeal samples were collected in Viral Transport Media (VTM), and tested on the sensor surface that resulted in detection of SARS CoV-2 within 30 s, which was further validated via Reverse Transcription-Polymerase Chain Reaction (RT-PCR). Moreover, the immunosensor showed good repeatability, storage stability, and minimal cross reactivity against Middle East Respiratory Syndrome (MERS) spike protein. Along with ease of fabrication, the electrodes show future miniaturization potential for extensive and rapid screening of populations for COVID-19.
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Affiliation(s)
- Deepshikha Shahdeo
- DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India
| | - Akanksha Roberts
- DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India
| | - G J Archana
- Department of Microbiology, Gandhi Medical College, Gandhi Hospital, Hyderabad, 500025, Telangana, India
| | | | - Subhasis Mahari
- DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India
| | - K Nagamani
- Department of Microbiology, Gandhi Medical College, Gandhi Hospital, Hyderabad, 500025, Telangana, India
| | - Sonu Gandhi
- DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, 500032, Telangana, India.
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Roberts A, Prakashan D, Dhanze H, Gandham RK, Gandhi S, Sharma GT. Immuno-chromatic probe based lateral flow assay for point-of-care detection of Japanese encephalitis virus NS1 protein biomarker in clinical samples using a smartphone-based approach. NANOSCALE ADVANCES 2022; 4:3966-3977. [PMID: 36133331 PMCID: PMC9470087 DOI: 10.1039/d2na00463a] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/08/2022] [Indexed: 05/08/2023]
Abstract
Lateral flow assays (LFAs) are one of the most economical, point-of-care (PoC) diagnostic assays that exploit the colorimetric properties of gold nanoparticles (AuNPs). Up to the best of our knowledge, no rapid antigen-based LFA exists for Japanese Encephalitis Virus (JEV) detection. Herein, we have reported a novel portable sandwich-type LFA for on-site detection of the non-structural 1 (NS1) secretory protein of JEV. In-house JEV NS1 antibodies (Abs) were generated and labelled with AuNPs as immunoprobes. A glass fibre membrane conjugate pad was soaked with AuNPs-Ab solution, while the JEV NS1 Ab and anti-rabbit IgG 2° Ab were coated as the test and control lines, respectively, on a nitrocellulose (NC) membrane. Different layers of the LFA were fabricated and various parameters were standardised for optimum colour intensity development. JEV negative serum samples spiked with JEV NS1 Ags (linear range - 1 pg ml-1 to 1 μg ml-1) were applied onto the sample pad and the intensity of the red colour developed on the test line increased with increasing concentration of Ag. The visual limit of detection (LOD) determined from the LFA was 10 pg ml-1, which corresponded to the LOD determined by the graphical data obtained from ImageJ software and the Colorimeter smartphone application. Furthermore, the colorimetric based immunosensor showed minimal non-specific detection of other closely related flaviviral NS1 Ags in the spiked serum, provided a rapid result within 10 min, showed storage stability up to a month at 4 °C, successfully detected the JEV NS1 protein in clinically infected pig serum samples, and hence, may be developed into a PoC screening diagnostic kit for JEV.
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Affiliation(s)
- Akanksha Roberts
- DBT-National Institute of Animal Biotechnology (NIAB) Hyderabad-500032 Telangana India +91-040-23120127
- DBT-Regional Centre for Biotechnology (RCB) Faridabad-121001 Haryana India
| | - Drishya Prakashan
- DBT-National Institute of Animal Biotechnology (NIAB) Hyderabad-500032 Telangana India +91-040-23120127
- DBT-Regional Centre for Biotechnology (RCB) Faridabad-121001 Haryana India
| | - Himani Dhanze
- ICAR-Indian Veterinary Research Institute (IVRI) Bareilly-243122 Uttar Pradesh India
| | - Ravi Kumar Gandham
- ICAR-Indian Veterinary Research Institute (IVRI) Bareilly-243122 Uttar Pradesh India
| | - Sonu Gandhi
- DBT-National Institute of Animal Biotechnology (NIAB) Hyderabad-500032 Telangana India +91-040-23120127
- DBT-Regional Centre for Biotechnology (RCB) Faridabad-121001 Haryana India
| | - G Taru Sharma
- DBT-National Institute of Animal Biotechnology (NIAB) Hyderabad-500032 Telangana India +91-040-23120127
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