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Shahbazi E, Moradi A, Mollasalehi H, Mohebbi SR. Unravelling the diagnostic methodologies for SARS-CoV-2; the Indispensable need for developing point-of-care testing. Talanta 2024; 275:126139. [PMID: 38696900 DOI: 10.1016/j.talanta.2024.126139] [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: 01/10/2024] [Revised: 04/13/2024] [Accepted: 04/20/2024] [Indexed: 05/04/2024]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-caused COVID-19 pandemic that continues to be a global menace and since its emergence in the late 2019, SARS-CoV-2 has been vigorously spreading throughout the globe putting the whole world into a multidimensional calamity. The suitable diagnosis strategies are on the front line of the battle against preventing the spread of infections. Since the clinical manifestation of COVID-19 is shared between various diseases, detection of the unique impacts of the pathogen on the host along with the diagnosis of the virus itself should be addressed. Employing the most suitable approaches to specifically, sensitively and effectively recognize the infected cases may be a real game changer in controlling the outbreak and the crisis management. In that matter, point-of-care assays (POC) appears to be the potential option, due to sensitivity, specificity, affordable, and availability. Here we brief the most recent findings about the virus, its variants, and the conventional methods that have been used for its detection, along with the POC strategies that have been applied to the virus diagnosis and the developing technologies which can accelerate the diagnosis procedure yet maintain its efficiency.
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Affiliation(s)
- Erfan Shahbazi
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Asma Moradi
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Hamidreza Mollasalehi
- Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
| | - Seyed Reza Mohebbi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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2
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Cerdeira Ferreira LM, Lima D, Marcolino-Junior LH, Bergamini MF, Kuss S, Campanhã Vicentini F. Cutting-edge biorecognition strategies to boost the detection performance of COVID-19 electrochemical biosensors: A review. Bioelectrochemistry 2024; 157:108632. [PMID: 38181592 DOI: 10.1016/j.bioelechem.2023.108632] [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: 08/17/2023] [Revised: 12/16/2023] [Accepted: 12/19/2023] [Indexed: 01/07/2024]
Abstract
Electrochemical biosensors are known for their high sensitivity, selectivity, and low cost. Recently, they have gained significant attention and became particularly important as promising tools for the detection of COVID-19 biomarkers, since they offer a rapid and accurate means of diagnosis. Biorecognition strategies are a crucial component of electrochemical biosensors and determine their specificity and sensitivity based on the interaction of biological molecules, such as antibodies, enzymes, and DNA, with target analytes (e.g., viral particles, proteins and genetic material) to create a measurable signal. Different biorecognition strategies have been developed to enhance the performance of electrochemical biosensors, including direct, competitive, and sandwich binding, alongside nucleic acid hybridization mechanisms and gene editing systems. In this review article, we present the different strategies used in electrochemical biosensors to target SARS-CoV-2 and other COVID-19 biomarkers, as well as explore the advantages and disadvantages of each strategy and highlight recent progress in this field. Additionally, we discuss the challenges associated with developing electrochemical biosensors for clinical COVID-19 diagnosis and their widespread commercialization.
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Affiliation(s)
- Luís Marcos Cerdeira Ferreira
- Center of Nature Sciences, Federal University of São Carlos, Rod. Lauri Simões de Barros km 12, 18290-000, Buri, SP, Brazil; Laboratory of Electrochemical Sensors (LabSensE) Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Dhésmon Lima
- Laboratory for Bioanalytics and Electrochemical Sensing (LBES), Department of Chemistry, University of Manitoba, 144 Dysart Road, Winnipeg, MB, R3T 2N2, Canada.
| | - Luiz Humberto Marcolino-Junior
- Laboratory of Electrochemical Sensors (LabSensE) Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Marcio Fernando Bergamini
- Laboratory of Electrochemical Sensors (LabSensE) Department of Chemistry, Federal University of Paraná, 81.531-980, Curitiba, PR, Brazil
| | - Sabine Kuss
- Laboratory for Bioanalytics and Electrochemical Sensing (LBES), Department of Chemistry, University of Manitoba, 144 Dysart Road, Winnipeg, MB, R3T 2N2, Canada
| | - Fernando Campanhã Vicentini
- Center of Nature Sciences, Federal University of São Carlos, Rod. Lauri Simões de Barros km 12, 18290-000, Buri, SP, Brazil.
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3
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Calorenni P, Leonardi AA, Sciuto EL, Rizzo MG, Faro MJL, Fazio B, Irrera A, Conoci S. PCR-Free Innovative Strategies for SARS-CoV-2 Detection. Adv Healthc Mater 2023; 12:e2300512. [PMID: 37435997 DOI: 10.1002/adhm.202300512] [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: 02/16/2023] [Revised: 04/24/2023] [Accepted: 05/09/2023] [Indexed: 07/13/2023]
Abstract
The pandemic outbreak caused by SARS-CoV-2 coronavirus brought a crucial issue in public health causing up to now more than 600 million infected people and 6.5 million deaths. Conventional diagnostic methods are based on quantitative reverse transcription polymerase chain reaction (RT-qPCR assay) and immuno-detection (ELISA assay). However, despite these techniques have the advantages of being standardized and consolidated, they keep some main limitations in terms of accuracy (immunoassays), time/cost consumption of analysis, the need for qualified personnel, and lab constrain (molecular assays). There is crucial the need to develop new diagnostic approaches for accurate, fast and portable viral detection and quantification. Among these, PCR-free biosensors represent the most appealing solution since they can allow molecular detection without the complexity of the PCR. This will enable the possibility to be integrated in portable and low-cost systems for massive and decentralized screening of SARS-CoV-2 in a point-of-care (PoC) format, pointing to achieve a performant identification and control of infection. In this review, the most recent approaches for the SARS-CoV-2 PCR-free detection are reported, describing both the instrumental and methodological features, and highlighting their suitability for a PoC application.
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Affiliation(s)
- Paolo Calorenni
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy
| | - Antonio A Leonardi
- Department of Physics and Astronomy, University of Catania, Via Santa Sofia 64, Catania, 95123, Italy
| | - Emanuele L Sciuto
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy
| | - Maria G Rizzo
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy
| | - Maria J Lo Faro
- Department of Physics and Astronomy, University of Catania, Via Santa Sofia 64, Catania, 95123, Italy
| | - Barbara Fazio
- URT Lab Sens Beyond Nano, CNR-DSFTM, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy
| | - Alessia Irrera
- URT Lab Sens Beyond Nano, CNR-DSFTM, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy
| | - Sabrina Conoci
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy
- URT Lab Sens Beyond Nano, CNR-DSFTM, Viale F. Stagno D'Alcontres 37, Messina, 98158, Italy
- Department of Chemistry ''Giacomo Ciamician'', University of Bologna, Via Selmi 2, Bologna, 40126, Italy
- CNR-IMM, Institute for Microelectronics and Microsystems, Ottava Strada n.5, Catania, I-95121, Italy
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4
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Chu SW, Wang FS. Fuzzy optimization for identifying antiviral targets for treating SARS-CoV-2 infection in the heart. BMC Bioinformatics 2023; 24:364. [PMID: 37759157 PMCID: PMC10537911 DOI: 10.1186/s12859-023-05487-7] [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: 06/24/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
In this paper, a fuzzy hierarchical optimization framework is proposed for identifying potential antiviral targets for treating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the heart. The proposed framework comprises four objectives for evaluating the elimination of viral biomass growth and the minimization of side effects during treatment. In the application of the framework, Dulbecco's modified eagle medium (DMEM) and Ham's medium were used as uptake nutrients on an antiviral target discovery platform. The prediction results from the framework reveal that most of the antiviral enzymes in the aforementioned media are involved in fatty acid metabolism and amino acid metabolism. However, six enzymes involved in cholesterol biosynthesis in Ham's medium and three enzymes involved in glycolysis in DMEM are unable to eliminate the growth of the SARS-CoV-2 biomass. Three enzymes involved in glycolysis, namely BPGM, GAPDH, and ENO1, in DMEM combine with the supplemental uptake of L-cysteine to increase the cell viability grade and metabolic deviation grade. Moreover, six enzymes involved in cholesterol biosynthesis reduce and fail to reduce viral biomass growth in a culture medium if a cholesterol uptake reaction does not occur and occurs in this medium, respectively.
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Affiliation(s)
- Sz-Wei Chu
- Department of Chemical Engineering, National Chung Cheng University, Chiayi, 621301, Taiwan
| | - Feng-Sheng Wang
- Department of Chemical Engineering, National Chung Cheng University, Chiayi, 621301, Taiwan.
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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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6
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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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7
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Shi K, Yi Z, Han Y, Chen J, Hu Y, Cheng Y, Liu S, Wang W, Song J. PAM-free cascaded strand displacement coupled with CRISPR-Cas12a for amplified electrochemical detection of SARS-CoV-2 RNA. Anal Biochem 2023; 664:115046. [PMID: 36641031 PMCID: PMC9833854 DOI: 10.1016/j.ab.2023.115046] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 01/05/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023]
Abstract
The early diagnosis of coronavirus disease 2019 (COVID-19) is dependent on the specific and sensitive detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA. Herein, we develop a highly sensitive and specific electrochemical biosensor for SARS-CoV-2 target RNA detection based on the integration of protospacer adjacent motif (PAM)-free cascaded toehold-mediated strand displacement reaction (TSDR) and CRISPR-Cas12a (PfTSDR-CRISPR). In this study, each target is transformed into multiple DNA substrates with bubble structure in the seed region by the cascaded TSDR, which can directly hybridize with guide RNA (gRNA) without PAM requirement and then activate CRISPR-Cas12a's trans-cleavage activity. Subsequently, the hairpin DNA modified with methylene blue (MB-HP) is cleaved by activated CRISPR-Cas12a. Therefore, as MB leaves the electrode surface, a decreased current signal is obtained. With the involvement of PAM-free cascaded TSDRs and CRISPR-Cas12a amplification strategy, the PfTSDR-CRISPR-based electrochemical biosensor achieves the detection of target RNA as low as 40 aM. The biosensor has high sequence specificity, reliability and robustness. Thanks to the PAM-free cascaded TSDR, the biosensor can achieve universal detection of different target RNA without redesigning gRNA sequence of CRISPR-Cas12a. In addition, this biosensor successfully detects SARS-CoV-2 target RNA in complex samples, which highlights its potential for diagnosing COVID-19.
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Affiliation(s)
- Kai Shi
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China.
| | - Zhigang Yi
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China
| | - Yaoxia Han
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China
| | - Jiaxuan Chen
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China
| | - Yu Hu
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China
| | - Ying Cheng
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China
| | - Sujun Liu
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China
| | - Wei Wang
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China
| | - Jiuhua Song
- College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Leshan West Silicon Materials Photovoltaic and New Energy Industry Technology Research Institute, Leshan, Sichuan, 614000, PR China.
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8
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Deng Y, Zhou T, Peng Y, Wang M, Xiang L, Zhang Y, Li J, Yang J, Li G. Dual-Gene-Controlled Rolling Circle Amplification Strategy for SARS-CoV-2 Analysis. Anal Chem 2023; 95:3358-3362. [PMID: 36723441 PMCID: PMC9897047 DOI: 10.1021/acs.analchem.2c04572] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/24/2023] [Indexed: 02/02/2023]
Abstract
The development of sensitive, accurate, and conveniently operated methods for the simultaneous assay of two nucleic acids is promising while still challenging. In this work, by using two genes (the N gene and RdRp gene) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as examples, we have designed an ingenious dual-gene-controlled rolling circle amplification (RCA) strategy to propose an accurate and sensitive electrochemical method. Specifically, the coexistence of the two target genes can trigger the RCA reaction to generate a number of repeated G-quadruplex (G4)-forming sequences. These sequences then switch into G4/hemin complexes with redox activity after the incubation of hemin, which can catalyze the TMB/H2O2 substrates to produce significantly enhanced current responses. Experimental results reveal that the proposed method exhibits satisfying feasibility and analytical performance, enabling the sensitive detection of SARS-CoV-2 in the range of 0.1-5000 pM, with the detection limit of 57 fM. Meanwhile, because only the simultaneous existence of the two target genes can effectively trigger the downstream amplification reaction, this method can effectively avoid false-positives and ensure specificity as well as accuracy. Furthermore, our method can distinguish the COVID-19 samples from healthy people, and the outcomes show a satisfying agreement with the results of RT-PCR, manifesting that our label-free dual-gene-controlled RCA strategy exhibits great possibility in clinical application.
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Affiliation(s)
- Ying Deng
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Tianci Zhou
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Ying Peng
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Minghui Wang
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Liangliang Xiang
- The Second Hospital of Nanjing, Nanjing
University of Chinese Medicine, Nanjing210003, P. R.
China
| | - Yuanyuan Zhang
- Department of Obstetrics and Gynecology,
The First Affiliated Hospital of Nanjing Medical University,
Nanjing210029, P. R. China
| | - Jinlong Li
- The Second Hospital of Nanjing, Nanjing
University of Chinese Medicine, Nanjing210003, P. R.
China
| | - Jie Yang
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
| | - Genxi Li
- State Key Laboratory of Analytical Chemistry for Life
Science, School of Life Sciences, Nanjing University,
Nanjing210023, P. R. China
- Center for Molecular Recognition and Biosensing,
School of Life Sciences, Shanghai University, Shanghai200444,
P. R. China
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9
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Moreira G, Casso-Hartmann L, Datta SPA, Dean D, McLamore E, Vanegas D. Development of a Biosensor Based on Angiotensin-Converting Enzyme II for Severe Acute Respiratory Syndrome Coronavirus 2 Detection in Human Saliva. FRONTIERS IN SENSORS 2022; 3:917380. [PMID: 35992634 PMCID: PMC9386735 DOI: 10.3389/fsens.2022.917380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the novel coronavirus responsible for COVID-19. Infection in humans requires angiotensin-converting enzyme II (hACE2) as the point of entry for SARS-CoV-2. PCR testing is generally definitive but expensive, although it is highly sensitive and accurate. Biosensor-based monitoring could be a low-cost, accurate, and non-invasive approach to improve testing capacity. We develop a capacitive hACE2 biosensor for intact SARS-CoV-2 detection in saliva. Laser-induced graphene (LIG) electrodes were modified with platinum nanoparticles. The quality control of LIG electrodes was performed using cyclic voltammetry. Truncated hACE2 was used as a biorecognition element and attached to the electrode surface by streptavidin-biotin coupling. Biolayer interferometry was used for qualitative interaction screening of hACE2 with UV-attenuated virions. Electrochemical impedance spectroscopy (EIS) was used for signal transduction. Truncated hACE2 binds wild-type SARS-CoV-2 and its variants with greater avidity than human coronavirus (common cold virus). The limit of detection (LoD) is estimated to be 2,960 copies/ml. The detection process usually takes less than 30 min. The strength of these features makes the hACE2 biosensor a potentially low-cost approach for screening SARS-CoV-2 in non-clinical settings with high demand for rapid testing (for example, schools and airports).
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Affiliation(s)
- Geisianny Moreira
- Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, United States
- Global Alliance for Rapid Diagnostics, Michigan State University, Cambridge, MI, United States
| | - Lisseth Casso-Hartmann
- Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, United States
| | - Shoumen Palit Austin Datta
- Medical Device (MDPnP) Interoperability and Cybersecurity Labs, Biomedical Engineering Program, Department of Anesthesiology, Massachusetts General Hospital, Harvard Medical School, Cambridge, MA, United States
- MIT Auto-ID Labs, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Delphine Dean
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, SC, United States
- Department of Bioengineering, Clemson University, Clemson, SC, United States
| | - Eric McLamore
- Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, United States
- Global Alliance for Rapid Diagnostics, Michigan State University, Cambridge, MI, United States
- Department of Agricultural Sciences, Clemson University, Clemson, SC, United States
| | - Diana Vanegas
- Department of Environmental Engineering and Earth Sciences, Clemson University, Clemson, SC, United States
- Global Alliance for Rapid Diagnostics, Michigan State University, Cambridge, MI, United States
- Correspondence: Diana Vanegas,
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10
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Colagrossi L, Mattana G, Piccioni L, Cento V, Perno CF. Viral Respiratory Infections: New Tools for a Rapid Diagnosis. Semin Respir Crit Care Med 2021; 42:747-758. [PMID: 34918318 DOI: 10.1055/s-0041-1739306] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Respiratory tract infection is one of the most common diseases in human worldwide. Many viruses are implicated in these infections, including emerging viruses, such as the novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Identification of the causative viral pathogens of respiratory tract infections is important to select a correct management of patients, choose an appropriate treatment, and avoid unnecessary antibiotics use. Different diagnostic approaches present variable performance in terms of accuracy, sensitivity, specificity, and time-to-result, that have to be acknowledged to be able to choose the right diagnostic test at the right time, in the right patient. This review describes currently available rapid diagnostic strategies and syndromic approaches for the detection of viruses commonly responsible for respiratory diseases.
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Affiliation(s)
- Luna Colagrossi
- Department of Laboratories, Bambino Gesù Children's Hospital, Rome, Italy
| | - Giordana Mattana
- Department of Laboratories, Bambino Gesù Children's Hospital, Rome, Italy
| | - Livia Piccioni
- Department of Laboratories, Bambino Gesù Children's Hospital, Rome, Italy
| | - Valeria Cento
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
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11
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Mandal M, Dutta N, Dutta G. Aptamer-based biosensors and their implications in COVID-19 diagnosis. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:5400-5417. [PMID: 34751684 DOI: 10.1039/d1ay01519b] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a novel infectious member of the coronavirus family, has caused millions of cases of infection and deaths all over the world, and been declared a pandemic by the World Health Organization. Conventional laboratory-based diagnostic testing has faced extreme difficulties in meeting the overwhelming demand for testing worldwide, and this has brought about a pressing need for cost-effective rapid diagnosis. There has been a surge in the number of prototypes of diagnostic kits developed, although many of these have been found to be lacking in terms of their accuracy and sensitivity. One type of chip-based diagnostic platform is the aptamer-based biosensor. Aptamers are artificially synthesized oligonucleotides that are capable of specifically binding to a target antigen. As of now, some aptamers have been reported for SARS-CoV-2. Although many ultrasensitive aptasensors have been developed for viruses, few have been successfully adapted for SARS-CoV-2 detection. Our review discusses the recent developments in the domain of SARS-CoV-2 specific aptamer isolation, the design of electrochemical and optical aptasensors, and the implications of aptasensor-based COVID-19 diagnosis.
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Affiliation(s)
- Mukti Mandal
- School of Medical Science and Technology (SMST), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.
| | - Nirmita Dutta
- School of Medical Science and Technology (SMST), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.
| | - Gorachand Dutta
- School of Medical Science and Technology (SMST), Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India.
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