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Yin W, Li L, Yang Y, Yang Y, Liang R, Ma L, Dai J, Mao G, Ma Y. Ultra-Sensitive Detection of the SARS-CoV-2 Nucleocapsid Protein via a Clustered Regularly Interspaced Short Palindromic Repeat/Cas12a-Mediated Immunoassay. ACS Sens 2024; 9:3150-3157. [PMID: 38717584 DOI: 10.1021/acssensors.4c00432] [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] [Indexed: 06/29/2024]
Abstract
Tracking trace protein analytes in precision diagnostics is an ongoing challenge. Here, we developed an ultrasensitive detection method for the detection of SARS-CoV-2 nucleocapsid (N) protein by combining enzyme-linked immunosorbent assay (ELISA) with the clustered regularly interspaced short palindromic repeat/CRISPR-associated protein (CRISPR/Cas) system. First, the SARS-CoV-2 N protein bound by the capture antibody adsorbed on the well plate was sequentially coupled with the primary antibody, biotinylated secondary antibody, and streptavidin (SA), followed by biotin primer binding to SA. Subsequently, rolling circle amplification was initiated to generate ssDNA strands, which were targeted by CRISPR/Cas12a to cleave the FAM-ssDNA-BHQ1 probe in trans to generate fluorescence signals. We observed a linear relationship between fluorescence intensity and the logarithm of N protein concentration ranging from 3 fg/mL to 3 × 107 fg/mL. The limit of detection (LOD) was 1 fg/mL, with approximately nine molecules in 1 μL of the sample. This detection sensitivity was 4 orders magnitude higher than that of commercially available ELISA kits (LOD: 5.7 × 104 fg/mL). This method was highly specific and sensitive and could accurately detect SARS-CoV-2 pseudovirus and clinical samples, providing a new approach for ultrasensitive immunoassay of protein biomarkers.
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Affiliation(s)
- Wen Yin
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Leyao Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China
| | - Yuxin Yang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Ruijing Liang
- Guangdong Key Laboratory of Nanomedicine, CAS-HK Joint Lab of Biomaterials, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Lixin Ma
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Junbiao Dai
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Guobin Mao
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yingxin Ma
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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2
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Tasić N, Konjević I, Lobato A, Metarapi D, Finšgar M, Oliveira FM, Sofer Z, Gusmão R, Zhang X, Hočevar SB. Study of V 2CT x-MXene Based Immunosensor for Sensitive Label-Free Impedimetric Detection of SARS-CoV-2 Spike Protein. ACS APPLIED MATERIALS & INTERFACES 2024; 16:30196-30208. [PMID: 38814245 PMCID: PMC11181268 DOI: 10.1021/acsami.4c04567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 05/31/2024]
Abstract
Rapid and reliable immunosensing is undoubtedly one of the priorities in the efficient management and combat against a pandemic, as society has experienced with the SARS-CoV-2 outbreak; simple and cost-effective sensing strategies are at the forefront of these efforts. In this regard, 2D-layered MXenes hold great potential for electrochemical biosensing due to their attractive physicochemical properties. Herein, we present a V2CTx MXene-based sensing layer as an integral part of a label-free immunosensor for sensitive and selective detection of the SARS-CoV-2 spike protein. The sensor was fabricated on a supporting screen-printed carbon electrode using Nafion as an immobilizing agent for MXene and glutaraldehyde, the latter enabling effective binding of protein A for further site-oriented immobilization of anti-SARS-CoV-2 antibodies. A thorough structural analysis of the sensor architecture was carried out, and several key parameters affecting the fabrication and analytical performance of the immunosensor were investigated and optimized. The immunosensor showed excellent electroanalytical performance in combination with an impedimetric approach and exhibited a low detection limit of only 45 fM SARS-CoV-2 spike protein. Its practical applicability was successfully demonstrated by measuring the spike protein in a spiked artificial nasopharyngeal fluid sample.
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Affiliation(s)
- Nikola Tasić
- Department
of Analytical Chemistry, National Institute
of Chemistry, Hajdrihova ulica 19, 1000 Ljubljana, Slovenia
| | - Ivan Konjević
- Department
of Analytical Chemistry, National Institute
of Chemistry, Hajdrihova ulica 19, 1000 Ljubljana, Slovenia
- Faculty
of Chemistry and Chemical Technology, University
of Ljubljana, Večna
pot 113, 1000 Ljubljana, Slovenia
| | - Alnilan Lobato
- Department
of Analytical Chemistry, National Institute
of Chemistry, Hajdrihova ulica 19, 1000 Ljubljana, Slovenia
- International
Postgraduate School Jožef Štefan, Jamova 39, 1000 Ljubljana, Slovenia
| | - Dino Metarapi
- Department
of Analytical Chemistry, National Institute
of Chemistry, Hajdrihova ulica 19, 1000 Ljubljana, Slovenia
| | - Matjaž Finšgar
- Faculty
of Chemistry and Chemical Engineering, University
of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia
| | - Filipa M. Oliveira
- Department
of Inorganic Chemistry, University of Chemistry
and Technology Prague, Technická 5, 166 28 Praha 6-Dejvice, Czech Republic
| | - Zděnek Sofer
- Department
of Inorganic Chemistry, University of Chemistry
and Technology Prague, Technická 5, 166 28 Praha 6-Dejvice, Czech Republic
| | - Rui Gusmão
- Department
of Inorganic Chemistry, University of Chemistry
and Technology Prague, Technická 5, 166 28 Praha 6-Dejvice, Czech Republic
| | - Xueji Zhang
- School
of
Biomedical Engineering, Shenzhen University
Health Science Center, 3688 Nanhai Road, Nanshan District, Shenzhen 518054, Guangdong P.R. China
| | - Samo B. Hočevar
- Department
of Analytical Chemistry, National Institute
of Chemistry, Hajdrihova ulica 19, 1000 Ljubljana, Slovenia
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3
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Zhang Y, Kong X, Guo HY, Wang J, Yin ZZ. A mesothelin microsensor based on an embedded thionine electronic medium within an imprinted polymer on an acupuncture needle electrode. Analyst 2024; 149:3309-3316. [PMID: 38699925 DOI: 10.1039/d4an00490f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
An electrochemical microsensor for mesothelin (MSLN) based on an acupuncture needle (AN) was constructed in this work. To prepare the microsensor, MSLN was self-assembled on 4-mercaptophenylboronic acid (4-MPBA) by an interaction force between the external cis-diol and phenylboronic acid. This was followed by the gradual electropolymerization of thionine (TH) and eriochrome black T (EBT) around the anchored protein. The thickness of the surface imprinted layers influenced the sensing performance and needed to be smaller than the height of the anchored protein. The polymerized EBT was not electrically active, but the polymerized TH provided a significant electrochemical signal. Therefore, electron transfer smoothly proceeded through the eluted nanocavities. The imprinted nanocavities were highly selective toward MSLN, and the rebinding of insulating proteins reduced the electrochemical signal of the embedded pTH. The functionalized interface was characterized by SEM and electrochemical methods, and the preparation conditions were studied. After optimization, the sensor showed a linear response in the range of 0.1 to 1000 ng mL-1 with a detection limit of 10 pg mL-1, indicating good performance compared with other reported methods. This microsensor also showed high sensitivity and stability, which can be attributed to the fine complementation of the imprinted organic nanocavities. The sensitivity of this sensor was related to the nanocavities used for electron transport around the AuNPs. In the future, microsensors that can directly provide electrochemical signals are expected to play important roles especially on AN matrices.
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Affiliation(s)
- Yi Zhang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China.
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001. China
| | - Xue Kong
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China.
| | - Hai-Yang Guo
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China.
| | - Jing Wang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
| | - Zheng-Zhi Yin
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China.
- Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001. China
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4
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Gevaerd A, Carneiro EA, Gogola JL, Nicollete DRP, Santiago EB, Riedi HP, Timm A, Predebon JV, Hartmann LF, Ribeiro VHA, Rochitti C, Marques GL, Loesch MMON, de Almeida BMM, Rogal-Junior S, Figueredo MVM. Utilizing COVID-19 as a Model for Diagnostics Using an Electrochemical Sensor. SENSORS (BASEL, SWITZERLAND) 2024; 24:3772. [PMID: 38931556 PMCID: PMC11207896 DOI: 10.3390/s24123772] [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: 05/06/2024] [Revised: 05/28/2024] [Accepted: 06/01/2024] [Indexed: 06/28/2024]
Abstract
This paper reports a rapid and sensitive sensor for the detection and quantification of the COVID-19 N-protein (N-PROT) via an electrochemical mechanism. Single-frequency electrochemical impedance spectroscopy was used as a transduction method for real-time measurement of the N-PROT in an immunosensor system based on gold-conjugate-modified carbon screen-printed electrodes (Cov-Ag-SPE). The system presents high selectivity attained through an optimal stimulation signal composed of a 0.0 V DC potential and 10 mV RMS-1 AC signal at 100 Hz over 300 s. The Cov-Ag-SPE showed a log response toward N-PROT detection at concentrations from 1.0 ng mL-1 to 10.0 μg mL-1, with a 0.977 correlation coefficient for the phase (θ) variation. An ML-based approach could be created using some aspects observed from the positive and negative samples; hence, it was possible to classify 252 samples, reaching 83.0, 96.2 and 91.3% sensitivity, specificity, and accuracy, respectively, with confidence intervals (CI) ranging from 73.0 to 100.0%. Because impedance spectroscopy measurements can be performed with low-cost portable instruments, the immunosensor proposed here can be applied in point-of-care diagnostics for mass testing, even in places with limited resources, as an alternative to the common diagnostics methods.
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Affiliation(s)
- Ava Gevaerd
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Emmanuelle A. Carneiro
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Jeferson L. Gogola
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Diego R. P. Nicollete
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Erika B. Santiago
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Halanna P. Riedi
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Adriano Timm
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - João V. Predebon
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Luis F. Hartmann
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Victor H. A. Ribeiro
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Carlos Rochitti
- School of Medicine—Campus PUCPR, Rua Imaculada Conceição, 1155, Prado Velho, Curitiba, Parana 80215-901, Brazil
| | - Gustavo L. Marques
- School of Medicine—Campus PUCPR, Rua Imaculada Conceição, 1155, Prado Velho, Curitiba, Parana 80215-901, Brazil
| | - Maira M. O. N. Loesch
- School of Medicine—Campus PUCPR, Rua Imaculada Conceição, 1155, Prado Velho, Curitiba, Parana 80215-901, Brazil
| | - Bernardo M. M. de Almeida
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Sérgio Rogal-Junior
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
| | - Marcus V. M. Figueredo
- Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil (M.V.M.F.)
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5
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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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6
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Khan S, Rathod P, Gupta VK, Khedekar PB, Chikhale RV. Evolution and Impact of Nucleic Acid Amplification Test (NAAT) for Diagnosis of Coronavirus Disease. Anal Chem 2024; 96:8124-8146. [PMID: 38687959 PMCID: PMC11112543 DOI: 10.1021/acs.analchem.3c05225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 05/02/2024]
Affiliation(s)
- Sumbul
Fatma Khan
- Department
of Pharmaceutical Sciences, Rashtrasant
Tukadoji Maharaj Nagpur University, Nagpur 440033, MS India
| | - Priyanka Rathod
- Department
of Pharmaceutical Sciences, Rashtrasant
Tukadoji Maharaj Nagpur University, Nagpur 440033, MS India
| | - Vivek K. Gupta
- Department
of Biochemistry, National JALMA Institute
for Leprosy & Other Mycobacterial Diseases (ICMR), Agra -282004, India
| | - Pramod B. Khedekar
- Department
of Pharmaceutical Sciences, Rashtrasant
Tukadoji Maharaj Nagpur University, Nagpur 440033, MS India
| | - Rupesh V. Chikhale
- UCL
School of Pharmacy, Department of Pharmaceutical and Biological Chemistry, University College London, London WC1N 1AX, United Kingdom
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7
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Hosnedlova B, Werle J, Cepova J, Narayanan VHB, Vyslouzilova L, Fernandez C, Parikesit AA, Kepinska M, Klapkova E, Kotaska K, Stepankova O, Bjorklund G, Prusa R, Kizek R. Electrochemical Sensors and Biosensors for Identification of Viruses: A Critical Review. Crit Rev Anal Chem 2024:1-30. [PMID: 38753964 DOI: 10.1080/10408347.2024.2343853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
Due to their life cycle, viruses can disrupt the metabolism of their hosts, causing diseases. If we want to disrupt their life cycle, it is necessary to identify their presence. For this purpose, it is possible to use several molecular-biological and bioanalytical methods. The reference selection was performed based on electronic databases (2020-2023). This review focused on electrochemical methods with high sensitivity and selectivity (53% voltammetry/amperometry, 33% impedance, and 12% other methods) which showed their great potential for detecting various viruses. Moreover, the aforementioned electrochemical methods have considerable potential to be applicable for care-point use as they are portable due to their miniaturizability and fast speed analysis (minutes to hours), and are relatively easy to interpret. A total of 2011 articles were found, of which 86 original papers were subsequently evaluated (the majority of which are focused on human pathogens, whereas articles dealing with plant pathogens are in the minority). Thirty-two species of viruses were included in the evaluation. It was found that most of the examined research studies (77%) used nanotechnological modifications. Other ones performed immunological (52%) or genetic analyses (43%) for virus detection. 5% of the reports used peptides to increase the method's sensitivity. When evaluable, 65% of the research studies had LOD values in the order of ng or nM. The vast majority (79%) of the studies represent proof of concept and possibilities with low application potential and a high need of further research experimental work.
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Affiliation(s)
- Bozena Hosnedlova
- BIOCEV, First Faculty of Medicine, Charles University, Vestec, Czech Republic
| | - Julia Werle
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Jana Cepova
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Vedha Hari B Narayanan
- Pharmaceutical Technology Lab, School of Chemical & Biotechnology, SASTRA Deemed University, Thanjavur, India
| | - Lenka Vyslouzilova
- Czech Institute of Informatics, Robotics and Cybernetics, Department of Biomedical Engineering & Assistive Technologies, Czech Technical University in Prague, Prague, Czech Republic
| | - Carlos Fernandez
- School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, United Kingdom
| | - Arli Aditya Parikesit
- Department of Bioinformatics, School of Life Sciences, Indonesia International Institute for Life Sciences, Jakarta, Timur, Indonesia
| | - Marta Kepinska
- Department of Pharmaceutical Biochemistry, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw, Poland
| | - Eva Klapkova
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Karel Kotaska
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Olga Stepankova
- Czech Institute of Informatics, Robotics and Cybernetics, Department of Biomedical Engineering & Assistive Technologies, Czech Technical University in Prague, Prague, Czech Republic
| | - Geir Bjorklund
- Council for Nutritional and Environmental Medicine (CONEM), Mo i Rana, Norway
| | - Richard Prusa
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Rene Kizek
- Department of Medical Chemistry and Clinical Biochemistry, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
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8
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Tian Y, Dong L. On-The-Spot Sampling and Detection of Viral Particles on Solid Surfaces Using a Sponge Virus Sensor Incorporated with Finger-Press Fluid Release. ACS Sens 2024; 9:1978-1991. [PMID: 38564767 DOI: 10.1021/acssensors.3c02766] [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] [Indexed: 04/04/2024]
Abstract
This paper presents a sponge-based electrochemical sensor for rapid, on-site collection and analysis of infectious viruses on solid surfaces. The device utilizes a conducting porous sponge modified with graphene, graphene oxide, and specific antibodies. The sponge serves as a hydrophilic porous electrode capable of liquid collection and electrochemical measurements. The device operation involves spraying an aqueous solution on a target surface, swiping the misted surface using the sponge, discharging an electrolyte solution with a simple finger press, and performing in situ incubation and electrochemical measurements. By leveraging the water-absorbing ability of the biofunctionalized conducting sponge, the sensor can effectively collect and quantify virus particles from the surface. The portability of the device is enhanced by introducing a push-release feature that dispenses the liquid electrolyte from a miniature reservoir onto the sensor surface. This reservoir has sharp edges to rupture a liquid sealing film with a finger press. The ability of the device to sample and quantify viral particles is demonstrated by using influenza A virus as the model. The sensor provided a calculated limit of detection of 0.4 TCID50/mL for H1N1 virus, along with a practical concentration range from 1-106 TCID50/mL. Additionally, it achieves a 15% collection efficiency from single-run swiping on a tabletop surface. This versatile device allows for convenient on-site virus detection within minutes, eliminating the need for sample pretreatment and simplifying the entire sample collecting and measuring process. This device presents significant potential for rapid virus detection on solid surfaces.
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Affiliation(s)
- Yang Tian
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States
| | - Liang Dong
- Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, United States
- Microelectronics Research Center, Iowa State University, Ames, Iowa 50011, United States
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9
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Lei Y, Xu D. Rapid Nucleic Acid Diagnostic Technology for Pandemic Diseases. Molecules 2024; 29:1527. [PMID: 38611806 PMCID: PMC11013254 DOI: 10.3390/molecules29071527] [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: 02/21/2024] [Revised: 03/17/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024] Open
Abstract
The recent global pandemic of coronavirus disease 2019 (COVID-19) has enormously promoted the development of diagnostic technology. To control the spread of pandemic diseases and achieve rapid screening of the population, ensuring that patients receive timely treatment, rapid diagnosis has become the top priority in the development of clinical technology. This review article aims to summarize the current rapid nucleic acid diagnostic technologies applied to pandemic disease diagnosis, from rapid extraction and rapid amplification to rapid detection. We also discuss future prospects in the development of rapid nucleic acid diagnostic technologies.
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Affiliation(s)
- Yu Lei
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology (NCNST), Chinese Academy of Sciences (CAS), Beijing 100190, China;
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Dawei Xu
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology (NCNST), Chinese Academy of Sciences (CAS), Beijing 100190, China;
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10
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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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11
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Gutiérrez-Gálvez L, García-Fernández D, Barrio MD, Luna M, Torres Í, Zamora F, Navío C, Milán-Rois P, Castellanos M, Abreu M, Cantón R, Galán JC, Somoza Á, Miranda R, García-Mendiola T, Lorenzo E. Free PCR virus detection via few-layer bismuthene and tetrahedral DNA nanostructured assemblies. Talanta 2024; 269:125405. [PMID: 37984235 DOI: 10.1016/j.talanta.2023.125405] [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: 09/07/2023] [Revised: 11/07/2023] [Accepted: 11/11/2023] [Indexed: 11/22/2023]
Abstract
In this work we describe a highly sensitive method based on a biocatalyzed electrochemiluminescence approach. The system combines, for the first time, the use of few-layer bismuthene (FLB) as a platform for the oriented immobilization of tetrahedral DNA nanostructures (TDNs) specifically designed and synthetized to detect a specific SARS-CoV-2 gene sequence. In one of its vertices, these TDNs contain a DNA capture probe of the open reading frame 1 ab (ORF1ab) of the virus, available for the biorecognition of the target DNA/RNA. At the other three vertices, there are thiol groups that enable the stable anchoring/binding to the FLB surface. This novel geometry/approach enables not only the binding of the TDNs to surfaces, but also the orientation of the capture probe in a direction normal to the bismuthine surface so that it is readily accessible for binding/recognition of the specific SARS-CoV-2 sequence. The analytical signal is based on the anodic electrochemiluminescence (ECL) intensity of luminol which, in turn, arises as a result of the reaction with H2O2, generated by the enzymatic reaction of glucose oxidation, catalyzed by the biocatalytic label avidin-glucose oxidase conjugate (Av-GOx), which acts as co-reactant in the electrochemiluminescent reaction. The method exhibits a limit of detection (LOD) of 4.31 aM and a wide linear range from 14.4 aM to 1.00 μM, and its applicability was confirmed by detecting SARS-CoV-2 in nasopharyngeal samples from COVID-19 patients without the need of any amplification process.
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Affiliation(s)
- Laura Gutiérrez-Gálvez
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
| | - Daniel García-Fernández
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
| | - Melisa Del Barrio
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
| | - Mónica Luna
- Instituto de Micro y Nanotecnología IMN-CNM, CSIC (CEI UAM+CSIC), 28760, Tres Cantos, Madrid, Spain
| | - Íñigo Torres
- Departamento de Química Inorgánica and Condensed Matter Physics Center (IFIMAC), Universidad Autónoma de Madrid, 28049, Madrid, Spain; Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, 28049, Madrid, Spain
| | - Félix Zamora
- Departamento de Química Inorgánica and Condensed Matter Physics Center (IFIMAC), Universidad Autónoma de Madrid, 28049, Madrid, Spain; Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, 28049, Madrid, Spain
| | - Cristina Navío
- IMDEA-Nanociencia, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain
| | - Paula Milán-Rois
- IMDEA-Nanociencia, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain
| | | | - Melanie Abreu
- Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034, Madrid, Spain
| | - Rafael Cantón
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Carlos Galán
- Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034, Madrid, Spain; Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Álvaro Somoza
- IMDEA-Nanociencia, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain
| | - Rodolfo Miranda
- IMDEA-Nanociencia, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain
| | - Tania García-Mendiola
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain; Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, 28049, Madrid, Spain.
| | - Encarnación Lorenzo
- Departamento de Química Analítica y Análisis Instrumental, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain; Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, 28049, Madrid, Spain; IMDEA-Nanociencia, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain
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12
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Ma S, Ren Q, Jiang L, Liu Z, Zhu Y, Zhu J, Zhang Y, Zhang M. A triple-aptamer tetrahedral DNA nanostructures based carbon-nanotube-array transistor biosensor for rapid virus detection. Talanta 2024; 266:124973. [PMID: 37506519 DOI: 10.1016/j.talanta.2023.124973] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023]
Abstract
Outbreaks of infectious viruses cause enormous challenges to global public health. Recently, the coronavirus disease 2019 (COVID-19) induced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has severely threatened human health and resulted in the global pandemic. A strategy to detect SARS-CoV-2 with both fast sensing speed and high accuracy is urgently required. Here, rapid detection of SARS-CoV-2 antigen using carbon-nanotube-array-based thin-film transistor (CNT-array-based TFT) biosensors merged with tetrahedral DNA nanostructures (TDNs) and triple aptamers is demonstrated for the first time. Compared with CNT-network-based TFT biosensors and metal-electrode-based CNT-TFT biosensors, the response of CNT-array-based TFT biosensors can be enhanced up to 102% for SARS-CoV-2 receptor-binding domain (RBD) detection, which is supported by its sensing mechanism. By combining TDNs with triple aptamers, the biosensor has realized the wildtype SARS-CoV-2 RBD detection in a broad detection range spanning eight orders of magnitude with a low limit of detection (LOD) of 10 aM (6 copies/μL) owing to the improved protein capture efficiency. Moreover, the triple-aptamer biosensor platform has achieved the detection of SARS-CoV-2 Omicron RBD in a low LOD of 6 aM (3.6 copies/μL). Additionally, the CNT-array-based TFT biosensors have exhibited excellent specificity, enabling identification among SARS-CoV-2 antigen, SARS-CoV antigen and MERS-CoV antigen. The platform of CNT-array-based TFT biosensors combined with TDNs and triple aptamers provides a high-performance and rapid approach for SARS-CoV-2 detection, and its versatility by altering specific aptamers enables the possibility for rapid virus detection.
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Affiliation(s)
- Shenhui Ma
- Key Laboratory of Wide Band-Gap Semiconductor Materials and Devices, School of Microelectronics, Xidian University, Xi'an, 710071, China; School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Qinqi Ren
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Leying Jiang
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Zhihong Liu
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Yang Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Jiahao Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Yaping Zhang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
| | - Min Zhang
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China.
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13
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Sulfianti A, Sopandi VT, Isnaeni I, Suryanggono J, Pambudi S, el Muttaqien S, Ningsih FN, Widayanti T, Mardliyati E, Annisa A. Antibody-labelled gold nanoparticles synthesized by laser ablation to detect SARS-CoV-2 antigen spike. ADMET AND DMPK 2023; 12:193-208. [PMID: 38560711 PMCID: PMC10974819 DOI: 10.5599/admet.2079] [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: 09/10/2023] [Revised: 11/29/2023] [Indexed: 04/04/2024] Open
Abstract
Background and purpose Rapid detection test via lateral flow immunoassay (LFIA) is employed as an alternate method to detect Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. Gold nanoparticles (AuNPs), a vital component of LFIA, can be synthesized by laser ablation technique. This intense laser radiation may result in monodisperse gold nanoclusters, which are impurity-free and demonstrate innovative biocompatible surface chemistry. In this current research, laser-ablated AuNPs are produced and coupled with an anti-spike SARS-CoV-2 monoclonal antibody (mAb) generated in our prior study. Experimental approach The AuNPs from 30,000 shots of laser ablation exhibited a robust red color with a maximum absorbance peak at 520 nm. The performance of AuNPs-mAb conjugates as a signal reporter was then evaluated in half-stick LFIA. Key results The size distribution of AuNPs shows a relatively monodisperse and unimodal distribution with average particle diameters of 44.77 nm and a surface potential of -38.5 mV. The purified anti-spike mAb SARS-CoV-2 yielded two protein bands, representing the mAb heavy chain at 55 kDa and its light chain at 25 kDa. The immobilization of anti-spike mAb onto the surface of AuNPs revealed that 25 g/ml of mAb at phosphate buffer pH 9 was required to stabilize the AuNPs. The functional test of this conjugate was performed using dipstick LFIA, and the result shows that the AuNPs-mAb conjugates could successfully detect commercial spike antigen of SARS-CoV-2 at 10 ng level. Conclusion In this study, laser-ablated AuNPs were functionalized with anti-spike mAb SARS-CoV-2 and successfully used as a signal reporter in half-stick LFIA for detecting antigen spike SARS-CoV-2.
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Affiliation(s)
- Asri Sulfianti
- Research Center for Vaccine and Drugs, National Research and Innovation Agency Republic of Indonesia (BRIN), LAPTIAB Building no 611-612, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15310, Indonesia
| | - Vidhia Tiara Sopandi
- Department of Biology, Faculty of Mathematics and Natural Sciences, Padjajaran University, Jalan Raya Bandung, Jatinangor, Sumedang, West Java 45361, Indonesia
| | - Isnaeni Isnaeni
- Research Center for Photonics, National Research and Innovation Agency Republic of Indonesia (BRIN), Physic Building no 15 442, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15314, Indonesia
| | - Jodi Suryanggono
- Research Center for Vaccine and Drugs, National Research and Innovation Agency Republic of Indonesia (BRIN), LAPTIAB Building no 611-612, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15310, Indonesia
| | - Sabar Pambudi
- Research Center for Vaccine and Drugs, National Research and Innovation Agency Republic of Indonesia (BRIN), LAPTIAB Building no 611-612, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15310, Indonesia
| | - Sjaikhurrizal el Muttaqien
- Research Center for Vaccine and Drugs, National Research and Innovation Agency Republic of Indonesia (BRIN), LAPTIAB Building no 611-612, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15310, Indonesia
| | - Febby Nurdiya Ningsih
- Research Center for Vaccine and Drugs, National Research and Innovation Agency Republic of Indonesia (BRIN), LAPTIAB Building no 611-612, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15310, Indonesia
| | - Tika Widayanti
- Research Center for Vaccine and Drugs, National Research and Innovation Agency Republic of Indonesia (BRIN), LAPTIAB Building no 611-612, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15310, Indonesia
| | - Etik Mardliyati
- Research Center for Vaccine and Drugs, National Research and Innovation Agency Republic of Indonesia (BRIN), LAPTIAB Building no 611-612, KST BJ Habibie, Serpong, Tangerang Selatan, Banten 15310, Indonesia
| | - Annisa Annisa
- Department of Biology, Faculty of Mathematics and Natural Sciences, Padjajaran University, Jalan Raya Bandung, Jatinangor, Sumedang, West Java 45361, Indonesia
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14
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Ren Q, Jiang L, Ma S, Li T, Zhu Y, Qiu R, Xing Y, Yin F, Li Z, Ye X, Zhang Y, Zhang M. Multi-Body Biomarker Entrapment System: An All-Encompassing Tool for Ultrasensitive Disease Diagnosis and Epidemic Screening. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2304119. [PMID: 37486783 DOI: 10.1002/adma.202304119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/18/2023] [Indexed: 07/26/2023]
Abstract
Ultrasensitive identification of biomarkers in biofluids is essential for the precise diagnosis of diseases. For the gold standard approaches, polymerase chain reaction and enzyme-linked immunosorbent assay, cumbersome operational steps hinder their point-of-care applications. Here, a bionic biomarker entrapment system (BioES) is implemented, which employs a multi-body Y-shaped tetrahedral DNA probe immobilized on carbon nanotube transistors. Clinical identification of endometriosis is successfully realized by detecting an estrogen receptor, ERβ, from the lesion tissue of endometriosis patients and establishing a standard diagnosis procedure. The multi-body Y-shaped BioES achieves a theoretical limit of detection (LoD) of 6.74 aM and a limit of quantification of 141 aM in a complex protein milieu. Furthermore, the BioES is optimized into a multi-site recognition module for enhanced binding efficiency, realizing the first identification of monkeypox virus antigen A35R and unamplified detection of circulating tumor DNA of breast cancer in serum. The rigid and compact probe framework with synergy effect enables the BioES to target A35R and DNA with a LoD down to 991 and 0.21 aM, respectively. Owing to its versatility for proteins and nucleic acids as well as ease of manipulation and ultra-sensitivity, the BioES can be leveraged as an all-encompassing tool for population-wide screening of epidemics and clinical disease diagnosis.
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Affiliation(s)
- Qinqi Ren
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Leying Jiang
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Shenhui Ma
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Tong Li
- Department of Gynecology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China
| | - Yang Zhu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Rui Qiu
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
| | - Yun Xing
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
| | - Feng Yin
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Zigang Li
- State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University, Shenzhen, 518055, China
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xiyang Ye
- Department of Gynecology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China
| | - Yaping Zhang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Min Zhang
- School of Electronic and Computer Engineering, Peking University, Shenzhen, 518055, China
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15
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Chu C, Jiang M, Hui Y, Huang Y, Kong W, Zhu W, Wei J, Wu L, Huang C, Yu XF, Zhao Z, Zhou W, Geng S, Ji L. Colorimetric immunosensing using liposome encapsulated MnO 2 nanozymes for SARS-CoV-2 antigen detection. Biosens Bioelectron 2023; 239:115623. [PMID: 37643492 DOI: 10.1016/j.bios.2023.115623] [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: 06/20/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 08/31/2023]
Abstract
Development of specific signal reporters with signal amplification effect are highly needed for sensitive and accurate detection of pathogen. Herein, we design a colorimetric immunosensing nanosystem based on liposome encapsulated quantum dots-sized MnO2 nanozyme (MnO2QDs@Lip) as a signal reporter for ultrasensitive and fast detection of SARS-CoV-2 antigen. The pathogenic antigens captured and separated by antibody-conjugated magnetic beads (MBs) are further connected with antibody-modified MnO2QDs@Lip to form a sandwich-like immunocomplex structure. After triggered release, MnO2 QDs efficiently catalyze colorless 3,3',5,5'-tetramethylbenzidine (TMB) to blue oxidized TMB, which can be qualitatively observed by naked eyes and quantitatively analyzed by UV-Vis spectra or smartphone platforms. By taking advantages of immuno-magnetic separation, excellent peroxidase-like catalytic activity of MnO2 QDs, and high encapsulation efficiency of MnO2QDs@Lip, ultrasensitive detection of SARS-CoV-2 antigen ranging from 0.1 pg/mL to 100 ng/mL is achieved within 20 min. The limit of detection (LOD) is calculated to be 65 fg/mL in PBS buffer. Furthermore, real clinical samples of SARS-CoV-2 antigens can be effectively identified by this immunosensing nanosystem with excellent accuracy. This proposed detection nanosystem provides a strategy for simple, rapid and ultrasensitive detection of pathogens and may shed light on the development of new POCT detection platforms for early diagnosis of pathogens and surveillance in public health.
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Affiliation(s)
- Chenchen Chu
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, 518055, China; Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China; Department of Medical Laboratory, Weifang Medical University, Weifang 261053, China
| | - Mingyang Jiang
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yun Hui
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yueying Huang
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, 518055, China
| | - Weijun Kong
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Wenting Zhu
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jitao Wei
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Lie Wu
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Chi Huang
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xue-Feng Yu
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Zhen Zhao
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Wenhua Zhou
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Shengyong Geng
- Shenzhen Key Laboratory of Micro/Nano Biosensing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Ling Ji
- Department of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, 518055, China.
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16
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Yin W, Hu J, Chen F, Zhu L, Ma Y, Wang N, Wei H, Yang H, Chou SH, He J. Combining hybrid nanoflowers with hybridization chain reaction for highly sensitive detection of SARS-CoV-2 nucleocapsid protein. Anal Chim Acta 2023; 1279:341838. [PMID: 37827653 DOI: 10.1016/j.aca.2023.341838] [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: 08/25/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND COVID-19 (coronavirus disease 2019) pandemic has had enormous social and economic impacts so far. The nucleocapsid protein (N protein) is highly conserved and is a key antigenic marker for the diagnosis of early SARS-CoV-2 infection. RESULTS In this study, the N protein was first captured by an aptamer (Aptamer 58) coupled to magnetic beads (MBs), which in turn were bound to another DNA sequence containing the aptamer (Aptamer 48-Initiator). After adding 5'-biotinylated hairpin DNA Amplifier 1 and Amplifier 2 with cohesive ends for complementary hybridization, the Initiator in the Aptamer 48-Initiator began to trigger the hybridization chain reaction (HCR), generating multiple biotin-labeled DNA concatamers. When incubated with synthetic streptavidin-invertase-Ca3(PO4)2 hybrid nanoflower (SICa), DNA concatamers could specifically bind to SICa through biotin-streptavidin interaction with high affinity. After adding sucrose, invertase in SICa hydrolyzed sucrose to glucose, whose concentration could be directly read with a portable glucometer, and its concentration was positively correlated with the amount of captured N protein. The method is highly sensitive with a detection limit as low as 1 pg/mL. SIGNIFICANCE We believe this study provided a practical solution for the early detection of SARS-CoV-2 infection, and offered a new method for detecting other viruses through different target proteins.
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Affiliation(s)
- Wen Yin
- National Key Laboratory of Agricultural Microbiology & Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China; State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Ji Hu
- National Key Laboratory of Agricultural Microbiology & Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Fang Chen
- National Key Laboratory of Agricultural Microbiology & Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Li Zhu
- National Key Laboratory of Agricultural Microbiology & Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yingxin Ma
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Nuo Wang
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Hongping Wei
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Hubei Jiangxia Laboratory, Wuhan, 430000, China
| | - Hang Yang
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Biosafety Mega-Science, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Hubei Jiangxia Laboratory, Wuhan, 430000, China
| | - Shan-Ho Chou
- National Key Laboratory of Agricultural Microbiology & Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jin He
- National Key Laboratory of Agricultural Microbiology & Hubei Hongshan Laboratory, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
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17
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Rivas-Macho A, Eletxigerra U, Diez-Ahedo R, Barros Á, Merino S, Goñi-de-Cerio F, Olabarria G. Development of an Electrochemical Sensor for SARS-CoV-2 Detection Based on Loop-Mediated Isothermal Amplification. BIOSENSORS 2023; 13:924. [PMID: 37887117 PMCID: PMC10605850 DOI: 10.3390/bios13100924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023]
Abstract
The pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused more than 6 million deaths all over the world, demonstrating the need for a simple, fast and cost-effective point-of-care (POC) test for the detection of the virus. In this work, we developed an electrochemical sensor for SARS-CoV-2 virus detection on clinical samples based on loop-mediated isothermal amplification (LAMP). With the development of this novel sensor, the time of each measurement is significantly reduced by avoiding the DNA extraction step and replacing it with inactivation of the sample by heating it at 95 °C for 10 min. To make the reaction compatible with the sample pre-treatment, an RNase inhibitor was added directly to the premix. The LAMP product was measured in a novel, easy-to-use manufactured sensor containing a custom-made screen-printed carbon electrode. Electrochemical detection was performed with a portable potentiostat, and methylene blue was used as the redox-transducing molecule. The developed sensor achieved a limit of detection of 62 viral copies and was 100% specific for the detection of the SARS-CoV-2 virus. The performance of the electrochemical sensor was validated with nasopharyngeal samples, obtaining a sensibility and specificity of 100% compared to the gold standard RT-PCR method.
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Affiliation(s)
- Ane Rivas-Macho
- Gaiker, GAIKER Technology Centre, Basque Research and Technology Alliance, 48170 Zamudio, Spain
- Molecular Biology and Biomedicine PhD Program, University of the Basque Country UPV/EHU, 48940 Leioa, Spain
| | - Unai Eletxigerra
- Surface Chemistry and Nanotechnologies Unit, Tekniker, 20600 Eibar, Spain
| | - Ruth Diez-Ahedo
- Surface Chemistry and Nanotechnologies Unit, Tekniker, 20600 Eibar, Spain
| | - Ángela Barros
- Surface Chemistry and Nanotechnologies Unit, Tekniker, 20600 Eibar, Spain
| | - Santos Merino
- Surface Chemistry and Nanotechnologies Unit, Tekniker, 20600 Eibar, Spain
- Electricity and Electronics Department, University of the Basque Country UPV/EHU, 48940 Leioa, Spain
| | - Felipe Goñi-de-Cerio
- Gaiker, GAIKER Technology Centre, Basque Research and Technology Alliance, 48170 Zamudio, Spain
| | - Garbiñe Olabarria
- Gaiker, GAIKER Technology Centre, Basque Research and Technology Alliance, 48170 Zamudio, Spain
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He X, Wang S, Ma C, Xu GR, Ma J, Xie H, Zhu W, Liu H, Wang L, Wang Y. Utilizing Electrochemical Biosensors as an Innovative Platform for the Rapid and On-Site Detection of Animal Viruses. Animals (Basel) 2023; 13:3141. [PMID: 37835747 PMCID: PMC10571726 DOI: 10.3390/ani13193141] [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: 08/11/2023] [Revised: 09/19/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023] Open
Abstract
Animal viruses are a significant threat to animal health and are easily spread across the globe with the rise of globalization. The limitations in diagnosing and treating animal virus infections have made the transmission of diseases and animal deaths unpredictable. Therefore, early diagnosis of animal virus infections is crucial to prevent the spread of diseases and reduce economic losses. To address the need for rapid diagnosis, electrochemical sensors have emerged as promising tools. Electrochemical methods present numerous benefits, including heightened sensitivity and selectivity, affordability, ease of use, portability, and rapid analysis, making them suitable for real-time virus detection. This paper focuses on the construction of electrochemical biosensors, as well as promising biosensor models, and expounds its advantages in virus detection, which is a promising research direction.
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Affiliation(s)
- Xun He
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
| | - Shan Wang
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
| | - Caoyuan Ma
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
| | - Guang-Ri Xu
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
| | - Jinyou Ma
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
| | - Hongbing Xie
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
| | - Wei Zhu
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
| | - Hongyang Liu
- Shuangliao Animal Disease Control Center, Siping 136400, China;
| | - Lei Wang
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
- Ministry of Education Key Laboratory for Animal Pathogens and Biosafety, Zhengzhou 450046, China
| | - Yimin Wang
- Henan Institute of Science and Technology, Xinxiang 453003, China; (X.H.); (S.W.); (C.M.); (G.-R.X.); (J.M.); (H.X.); (W.Z.)
- Ministry of Education Key Laboratory for Animal Pathogens and Biosafety, Zhengzhou 450046, China
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19
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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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20
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Su Y, Bian S, Pan D, Xu Y, Rong G, Zhang H, Sawan M. Heterogeneous-Nucleation Biosensor for Long-Term Collection and Mask-Based Self-Detection of SARS-CoV-2. BIOSENSORS 2023; 13:858. [PMID: 37754092 PMCID: PMC10526364 DOI: 10.3390/bios13090858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 08/22/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023]
Abstract
The effective control of infectious diseases, including Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, depends on the availability of rapid and accurate monitoring techniques. However, conventional SARS-CoV-2 detection technologies do not support continuous self-detection and may lead to cross-infection when utilized in medical institutions. In this study, we introduce a prototype of a mask biosensor designed for the long-term collection and self-detection of SARS-CoV-2. The biosensor utilizes the average resonance Rayleigh scattering intensity of Au nanocluster-aptamers. The inter-mask surface serves as a medium for the long-term collection and concentration enhancement of SARS-CoV-2, while the heterogeneous-nucleation nanoclusters (NCs) contribute to the exceptional stability of Au NCs for up to 48 h, facilitated by the adhesion of Ti NCs. Additionally, the biosensors based on Au NC-aptamers exhibited high sensitivity for up to 1 h. Moreover, through the implementation of a support vector machine classifier, a significant number of point signals can be collected and differentiated, leading to improved biosensor accuracy. These biosensors offer a complementary wearable device-based method for diagnosing SARS-CoV-2, with a limit of detection of 103 copies. Given their flexibility, the proposed biosensors possess tremendous potential for the continuous collection and sensitive self-detection of SARS-CoV-2 variants and other infectious pathogens.
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Affiliation(s)
- Yi Su
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China; (Y.S.); (D.P.)
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Sumin Bian
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Dingyi Pan
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310013, China; (Y.S.); (D.P.)
| | - Yankun Xu
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Guoguang Rong
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Hongyong Zhang
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
| | - Mohamad Sawan
- CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou 310030, China; (S.B.); (Y.X.); (G.R.); (H.Z.)
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21
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Moreira G, Qian H, Datta SPA, Bliznyuk N, Carpenter J, Dean D, McLamore E, Vanegas D. A capacitive laser-induced graphene based aptasensor for SARS-CoV-2 detection in human saliva. PLoS One 2023; 18:e0290256. [PMID: 37590297 PMCID: PMC10434860 DOI: 10.1371/journal.pone.0290256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/03/2023] [Indexed: 08/19/2023] Open
Abstract
SARS-CoV-2 virus induced CoVID-19 pandemic has accelerated the development of diagnostic tools. Devices integrated with electrochemical biosensors may be an interesting alternative to respond to the high demand for testing, particularly in contexts where access to standard detection technologies is lacking. Aptamers as recognition elements are useful due to their stability, specificity, and sensitivity to binding target molecules. We have developed a non-invasive electrochemical aptamer-based biosensor targeting SARS-CoV-2 in human saliva. The aptamer is expected to detect the Spike protein of SARS-CoV-2 wildtype and its variants. Laser-induced graphene (LIG) electrodes coated with platinum nanoparticles were biofunctionalized with a biotin-tagged aptamer. Electrochemical Impedance Spectroscopy (EIS) for BA.1 sensing was conducted in sodium chloride/sodium bicarbonate solution supplemented with pooled saliva. To estimate sensing performance, the aptasensor was tested with contrived samples of UV-attenuated virions from 10 to 10,000 copies/ml. Selectivity was assessed by exposing the aptasensor to non-targeted viruses (hCoV-OC43, Influenza A, and RSV-A). EIS data outputs were further used to select a suitable response variable and cutoff frequency. Capacitance increases in response to the gradual loading of the attenuated BA.1. The aptasensor was sensitive and specific for BA.1 at a lower viral load (10-100 copies/ml) and was capable of discriminating between negative and positive contrived samples (with strain specificity against other viruses: OC43, Influenza A, and RSV-A). The aptasensor detected SARS-CoV-2 with an estimated LOD of 1790 copies/ml in contrived samples. In human clinical samples, the aptasensor presents an accuracy of 72%, with 75% of positive percent of agreement and 67% of negative percent of agreement. Our results show that the aptasensor is a promising candidate to detect SARS-CoV-2 during early stages of infection when virion concentrations are low, which may be useful for preventing the asymptomatic spread of CoVID-19.
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Affiliation(s)
- Geisianny Moreira
- Environmental Engineering and Earth Sciences, Clemson University, Clemson, South Carolina, United States of America
- Department of Agricultural Sciences, Clemson University, Clemson, South Carolina, United States of America
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lancing, Michigan, United States of America
| | - Hanyu Qian
- Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, United States of America
| | - Shoumen Palit Austin Datta
- Department of Mechanical Engineering, MIT Auto-ID Labs, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Anesthesiology, Medical Device (MDPnP) Interoperability and Cybersecurity Labs, Biomedical Engineering Program, Massachusetts General Hospital, Harvard Medical School, Cambridge, Massachusetts, United States of America
| | - Nikolay Bliznyuk
- Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, United States of America
| | - Jeremiah Carpenter
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, South Carolina, United States of America
- Department of Bioengineering, Clemson University, Clemson, South Carolina, United States of America
| | - Delphine Dean
- Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, Clemson, South Carolina, United States of America
- Department of Bioengineering, Clemson University, Clemson, South Carolina, United States of America
| | - Eric McLamore
- Environmental Engineering and Earth Sciences, Clemson University, Clemson, South Carolina, United States of America
- Department of Agricultural Sciences, Clemson University, Clemson, South Carolina, United States of America
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lancing, Michigan, United States of America
| | - Diana Vanegas
- Environmental Engineering and Earth Sciences, Clemson University, Clemson, South Carolina, United States of America
- Global Alliance for Rapid Diagnostics, Michigan State University, East Lancing, Michigan, United States of America
- Interdisciplinary Group for Biotechnology Innovation and Ecosocial Change -BioNovo, Universidad del Valle, Cali, Colombia
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22
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Song J, Zhang L, Zeng L, Xu X. Visualized Lateral Flow Assay for Dual Viral RNA Fragment Detection. Anal Chem 2023. [PMID: 37463852 DOI: 10.1021/acs.analchem.3c02019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
In this technical note, we report an easy-to-produce, reverse-transcription-free, and protein-enzyme-free lateral flow assay for detection of viral RNA fragments by taking SARS-CoV-2 ORF1ab and N as target models. Catalytic hairpin assembly is utilized for dual RNA fragment orthogonal reaction to generate copious amounts of opened hairpin duplexes, which bridge DNA-modified gold nanoparticles and capture strands on the strip to induce coloration. The dual RNA fragments are simultaneously visualized during one time of sample flow, and single-base-mismatched nontarget sequences can be differentiated. The test strip can be flexibly adapted to detect evolutional SARS-CoV-2 variants such as Delta and Omicron. It also shows potential in visually detecting long-sequence virus simulants and achieves a sensitivity comparable to that of RT-qPCR by incorporation with upstream sample amplification. The lateral flow assay should offer a convenient and reliable technique for viral nucleic acid detection.
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Affiliation(s)
- Juanjuan Song
- School of Chemistry and Chemical Engineering, Shandong University, Jinan 250100, China
| | - Liangwen Zhang
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Luhao Zeng
- School of Chemistry and Chemical Engineering, Shandong University, Jinan 250100, China
| | - Xiaowen Xu
- School of Chemistry and Chemical Engineering, Shandong University, Jinan 250100, China
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23
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Falk M, Psotta C, Cirovic S, Ohlsson L, Shleev S. Electronic Tongue for Direct Assessment of SARS-CoV-2-Free and Infected Human Saliva-A Feasibility Study. BIOSENSORS 2023; 13:717. [PMID: 37504115 PMCID: PMC10377364 DOI: 10.3390/bios13070717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/21/2023] [Accepted: 07/04/2023] [Indexed: 07/29/2023]
Abstract
An electronic tongue is a powerful analytical instrument based on an array of non-selective chemical sensors with a partial specificity for data gathering and advanced pattern recognition methods for data analysis. Connecting electronic tongues with electrochemical techniques for data collection has led to various applications, mostly within sensing for food quality and environmental monitoring, but also in biomedical research for the analyses of different bioanalytes in human physiological fluids. In this paper, an electronic tongue consisting of six electrodes (viz., gold, platinum, palladium, titanium, iridium, and glassy carbon) was designed and tested in authentic (undiluted, unpretreated) human saliva samples from eight volunteers, collected before and during the COVID-19 pandemic. Investigations of 11 samples using differential pulse voltammetry and a principal component analysis allowed us to distinguish between SARS-CoV-2-free and infected authentic human saliva. This work, as a proof-of-principle demonstration, provides a new perspective for the use of electronic tongues in the field of enzyme-free electrochemical biosensing, highlighting their potential for future applications in non-invasive biomedical analyses.
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Affiliation(s)
- Magnus Falk
- Biomedical Science, Faculty of Health and Society, and Biofilms Research Center, Malmö University, 205 06 Malmö, Sweden
| | - Carolin Psotta
- Biomedical Science, Faculty of Health and Society, and Biofilms Research Center, Malmö University, 205 06 Malmö, Sweden
| | - Stefan Cirovic
- Biomedical Science, Faculty of Health and Society, and Biofilms Research Center, Malmö University, 205 06 Malmö, Sweden
| | - Lars Ohlsson
- Biomedical Science, Faculty of Health and Society, and Biofilms Research Center, Malmö University, 205 06 Malmö, Sweden
| | - Sergey Shleev
- Biomedical Science, Faculty of Health and Society, and Biofilms Research Center, Malmö University, 205 06 Malmö, Sweden
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24
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Bai L, Shi Y, Zhang X, Cao X, Jia J, Shi H, Lu W. A polyaniline functionalized NiFeP nanosheet array-based electrochemical immunosensor using Au/Cu 2O nanocubes as a signal amplifier for the detection of SARS-CoV-2 nucleocapsid protein. Analyst 2023. [PMID: 37365912 DOI: 10.1039/d3an00616f] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged as a novel pathogen in 2019. The virus is responsible for a severe acute respiratory syndrome outbreak, affecting the respiratory system of infected individuals. COVID-19 is a super amplifier of basic diseases, and the disease with basic diseases is often more serious. Controlling the spread of the COVID-19 pandemic relies heavily on the timely and accurate detection of the virus. To resolve the problem, a polyaniline functionalized NiFeP nanosheet array-based electrochemical immunosensor using Au/Cu2O nanocubes as a signal amplifier is fabricated for the detection of SARS-CoV-2 nucleocapsid protein (SARS-CoV-2 NP). Polyaniline (PANI) functionalized NiFeP nanosheet arrays are synthesized as an ideal sensing platform for the first time. PANI is coated on the surface of NiFeP by electropolymerization to enhance biocompatibility, beneficial for the efficient loading of the capture antibody (Ab1). Significantly, Au/Cu2O nanocubes possess excellent peroxidase-like activity and exhibit outstanding catalytic activity for the reduction of H2O2. Therefore, Au/Cu2O nanocubes combine with a labeled antibody (Ab2) through the Au-N bond to form labeled probes, which can effectively amplify current signals. Under optimal conditions, the immunosensor for the detection of SARS-CoV-2 NP shows a wide linear range of 10 fg mL-1-20 ng mL-1 and a low detection limit of 1.12 fg mL-1 (S/N = 3). It also exhibits desirable selectivity, repeatability, and stability. Meanwhile, the excellent analytical performance in human serum samples confirms the practicality of the PANI functionalized NiFeP nanosheet array-based immunosensor. The electrochemical immunosensor based on the Au/Cu2O nanocubes as a signal amplifier demonstrates great potential for application in the personalized point-of-care (POC) clinical diagnosis.
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Affiliation(s)
- Liwei Bai
- Key Laboratory of Magnetic Molecules and Magnetic Information Materials (Ministry of Education), School of Chemistry and Material Science, Shanxi Normal University, Taiyuan 030031, China.
| | - Yufen Shi
- Key Laboratory of Magnetic Molecules and Magnetic Information Materials (Ministry of Education), School of Chemistry and Material Science, Shanxi Normal University, Taiyuan 030031, China.
| | - Xue Zhang
- Key Laboratory of Magnetic Molecules and Magnetic Information Materials (Ministry of Education), School of Chemistry and Material Science, Shanxi Normal University, Taiyuan 030031, China.
| | - Xiaowei Cao
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, China
| | - Jianhua Jia
- College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China
| | - Huanhuan Shi
- Institut für Quanten Materialien und Technologien, Karlsruher Institut für Technologie, Hermann-v.-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
| | - Wenbo Lu
- Key Laboratory of Magnetic Molecules and Magnetic Information Materials (Ministry of Education), School of Chemistry and Material Science, Shanxi Normal University, Taiyuan 030031, China.
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25
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Zhuo C, Song Z, Cui J, Gong Y, Tang Q, Zhang K, Song X, Liao X. Electrochemical biosensor strategy combining DNA entropy-driven technology to activate CRISPR-Cas13a activity and triple-stranded nucleic acids to detect SARS-CoV-2 RdRp gene. Mikrochim Acta 2023; 190:272. [PMID: 37351704 DOI: 10.1007/s00604-023-05848-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/24/2023] [Indexed: 06/24/2023]
Abstract
By merging DNA entropy-driven technology with triple-stranded nucleic acids in an electrochemical biosensor to detect the SARS-CoV-2 RdRp gene, we tackled the challenges of false negatives and the high cost of SARS-CoV-2 detection. The approach generates a CRISPR-Cas 13a-activated RNA activator, which then stimulates CRISPR-Cas 13a activity using an entropy-driven mechanism. The activated CRISPR-Cas 13a can cleave Hoogsteen DNA due to the insertion of two uracil (-U-U-) in Hoogsteen DNA. The DNA tetrahedra changed on the electrode surface and can therefore not construct a three-stranded structure after cleaving Hoogsteen DNA. Significantly, this DNA tetrahedron/Hoogsteen DNA-based biosensor can regenerate at pH = 10.0, which keeps Hoogsteen DNA away from the electrode surface, allowing the biosensor to function at pH = 7.0. We could use this technique to detect the SARS-CoV-2 RdRp gene with a detection limit of 89.86 aM. Furthermore, the detection method is very stable and repeatable. This technique offers the prospect of detecting SARS-CoV-2 at a reasonable cost. This work has potential applications in the dynamic assessment of the diagnostic and therapeutic efficacy of SARS-CoV-2 infection and in the screening of environmental samples.
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Affiliation(s)
- Chenyi Zhuo
- The Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi, Baise, 533000, China
| | - Zichun Song
- West Guangxi Key Laboratory for Prevention and Treatment of High-Incidence Diseases, Youjiang Medical University for Nationalities, Guangxi, Baise, 533000, China
| | - Jiuying Cui
- West Guangxi Key Laboratory for Prevention and Treatment of High-Incidence Diseases, Youjiang Medical University for Nationalities, Guangxi, Baise, 533000, China
| | - Yuanxun Gong
- The Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi, Baise, 533000, China
| | - Qianli Tang
- The Affiliated Hospital of Youjiang Medical University for Nationalities, Guangxi, Baise, 533000, China
| | - Kai Zhang
- School of Chemistry and Materials Science, Nanjing University of Information Science and Technology, 210044, Nanjing, People's Republic of China.
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu, 214063, China.
| | - Xinlei Song
- Maternity & Child Care Center of Dezhou, Dezhou, 25300, China
| | - Xianjiu Liao
- West Guangxi Key Laboratory for Prevention and Treatment of High-Incidence Diseases, Youjiang Medical University for Nationalities, Guangxi, Baise, 533000, China.
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26
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Ciannella S, González-Fernández C, Gomez-Pastora J. Recent progress on wastewater-based epidemiology for COVID-19 surveillance: A systematic review of analytical procedures and epidemiological modeling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:162953. [PMID: 36948304 PMCID: PMC10028212 DOI: 10.1016/j.scitotenv.2023.162953] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/13/2023] [Accepted: 03/15/2023] [Indexed: 05/13/2023]
Abstract
On March 11, 2020, the World Health Organization declared the coronavirus disease 2019 (COVID-19), whose causative agent is the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), a pandemic. This virus is predominantly transmitted via respiratory droplets and shed via sputum, saliva, urine, and stool. Wastewater-based epidemiology (WBE) has been able to monitor the circulation of viral pathogens in the population. This tool demands both in-lab and computational work to be meaningful for, among other purposes, the prediction of outbreaks. In this context, we present a systematic review that organizes and discusses laboratory procedures for SARS-CoV-2 RNA quantification from a wastewater matrix, along with modeling techniques applied to the development of WBE for COVID-19 surveillance. The goal of this review is to present the current panorama of WBE operational aspects as well as to identify current challenges related to it. Our review was conducted in a reproducible manner by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews. We identified a lack of standardization in wastewater analytical procedures. Regardless, the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) approach was the most reported technique employed to detect and quantify viral RNA in wastewater samples. As a more convenient sample matrix, we suggest the solid portion of wastewater to be considered in future investigations due to its higher viral load compared to the liquid fraction. Regarding the epidemiological modeling, the data-driven approach was consistently used for the prediction of variables associated with outbreaks. Future efforts should also be directed toward the development of rapid, more economical, portable, and accurate detection devices.
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Affiliation(s)
- Stefano Ciannella
- Department of Chemical Engineering, Texas Tech University, Lubbock 79409, TX, USA.
| | - Cristina González-Fernández
- Department of Chemical Engineering, Texas Tech University, Lubbock 79409, TX, USA; Departamento de Ingenierías Química y Biomolecular, Universidad de Cantabria, Avda. Los Castros, s/n, 39005 Santander, Spain.
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27
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Guliy OI, Evstigneeva SS, Khanadeev VA, Dykman LA. Antibody Phage Display Technology for Sensor-Based Virus Detection: Current Status and Future Prospects. BIOSENSORS 2023; 13:640. [PMID: 37367005 DOI: 10.3390/bios13060640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/31/2023] [Accepted: 06/08/2023] [Indexed: 06/28/2023]
Abstract
Viruses are widespread in the environment, and many of them are major pathogens of serious plant, animal, and human diseases. The risk of pathogenicity, together with the capacity for constant mutation, emphasizes the need for measures to rapidly detect viruses. The need for highly sensitive bioanalytical methods to diagnose and monitor socially significant viral diseases has increased in the past few years. This is due, on the one hand, to the increased incidence of viral diseases in general (including the unprecedented spread of a new coronavirus infection, SARS-CoV-2), and, on the other hand, to the need to overcome the limitations of modern biomedical diagnostic methods. Phage display technology antibodies as nano-bio-engineered macromolecules can be used for sensor-based virus detection. This review analyzes the commonly used virus detection methods and approaches and shows the prospects for the use of antibodies prepared by phage display technology as sensing elements for sensor-based virus detection.
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Affiliation(s)
- Olga I Guliy
- Institute of Biochemistry and Physiology of Plants and Microorganisms, Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences (IBPPM RAS), 13 Prospect Entuziastov, Saratov 410049, Russia
| | - Stella S Evstigneeva
- Institute of Biochemistry and Physiology of Plants and Microorganisms, Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences (IBPPM RAS), 13 Prospect Entuziastov, Saratov 410049, Russia
| | - Vitaly A Khanadeev
- Institute of Biochemistry and Physiology of Plants and Microorganisms, Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences (IBPPM RAS), 13 Prospect Entuziastov, Saratov 410049, Russia
| | - Lev A Dykman
- Institute of Biochemistry and Physiology of Plants and Microorganisms, Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences (IBPPM RAS), 13 Prospect Entuziastov, Saratov 410049, Russia
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Malla P, Liu CH, Wu WC, Kabinsing P, Sreearunothai P. Synthesis and characterization of Au-decorated graphene oxide nanocomposite for magneto-electrochemical detection of SARS-CoV-2 nucleocapsid gene. Talanta 2023; 262:124701. [PMID: 37235956 DOI: 10.1016/j.talanta.2023.124701] [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] [Received: 01/30/2023] [Revised: 05/17/2023] [Accepted: 05/22/2023] [Indexed: 05/28/2023]
Abstract
Fast and effective diagnosis is the first step in monitoring the current coronavirus 2 (CoV-2) pandemic. Herein, we establish a simple and sensitive electrochemical assay using magnetic nanocomposite and DNA sandwich probes to rapidly quantify the CoV-2 nucleocapsid (N) gene down to the 0.37 fM level. This assay uses a pair of specific DNA probes. The capture probe is covalently conjugated to Au-decorated magnetic reduced graphene oxide (AMrGO) nanocomposite for efficiently capturing target RNA. In contrast, the detection probe is linked to peroxidase for signal amplification. The probes target the COV-2 gene, allowing for specific magnetic separation, enzymatic signal amplification, and subsequent generation of voltammetric current with a total assay time of 45 min. The developed biosensor has high selectivity and can discriminate non-specific gene sequences. Synthetic COV-2 N-gene can be detected efficiently in serum and saliva, while 1-bp mismatch gene yielded a low response. The performance of the genosensor was good in an extensive linear range of 5 aM-50 pM. For synthetic N-gene, we achieved the detection limit of 0.37, 0.33, and 0.19 fM in human saliva, urine, and serum. This simple, selective, and sensitive genosensor could have various genetics-based biosensing and diagnostic applications.
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Affiliation(s)
- Pravanjan Malla
- Department of Chemical and Materials Engineering, Chang Gung University, 259, Wen-Hwa First Road, Tao-Yuan, Taiwan
| | - Chi-Hsien Liu
- Department of Chemical and Materials Engineering, Chang Gung University, 259, Wen-Hwa First Road, Tao-Yuan, Taiwan; Research Center for Chinese Herbal Medicine and Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, 261, Wen-Hwa First Road, Taoyuan, Taiwan; Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou, 5, Fu-Hsing Street, Taoyuan, Taiwan.
| | - Wei-Chi Wu
- Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou, 5, Fu-Hsing Street, Taoyuan, Taiwan; College of Medicine, Chang Gung University, 259, Wen-Hwa First Road, Taoyuan, Taiwan
| | - Pinpinut Kabinsing
- Department of Chemical and Materials Engineering, Chang Gung University, 259, Wen-Hwa First Road, Tao-Yuan, Taiwan
| | - Paiboon Sreearunothai
- Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand.
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Ivanoska-Dacikj A, Oguz-Gouillart Y, Hossain G, Kaplan M, Sivri Ç, Ros-Lis JV, Mikucioniene D, Munir MU, Kizildag N, Unal S, Safarik I, Akgül E, Yıldırım N, Bedeloğlu AÇ, Ünsal ÖF, Herwig G, Rossi RM, Wick P, Clement P, Sarac AS. Advanced and Smart Textiles during and after the COVID-19 Pandemic: Issues, Challenges, and Innovations. Healthcare (Basel) 2023; 11:healthcare11081115. [PMID: 37107948 PMCID: PMC10137734 DOI: 10.3390/healthcare11081115] [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: 02/08/2023] [Revised: 03/28/2023] [Accepted: 04/02/2023] [Indexed: 04/29/2023] Open
Abstract
The COVID-19 pandemic has hugely affected the textile and apparel industry. Besides the negative impact due to supply chain disruptions, drop in demand, liquidity problems, and overstocking, this pandemic was found to be a window of opportunity since it accelerated the ongoing digitalization trends and the use of functional materials in the textile industry. This review paper covers the development of smart and advanced textiles that emerged as a response to the outbreak of SARS-CoV-2. We extensively cover the advancements in developing smart textiles that enable monitoring and sensing through electrospun nanofibers and nanogenerators. Additionally, we focus on improving medical textiles mainly through enhanced antiviral capabilities, which play a crucial role in pandemic prevention, protection, and control. We summarize the challenges that arise from personal protective equipment (PPE) disposal and finally give an overview of new smart textile-based products that emerged in the markets related to the control and spread reduction of SARS-CoV-2.
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Affiliation(s)
- Aleksandra Ivanoska-Dacikj
- Research Centre for Environment and Materials, Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia
| | - Yesim Oguz-Gouillart
- Department of Building and Urban Environment, Innovative Textile Material, JUNIA, 59000 Lille, France
| | - Gaffar Hossain
- V-Trion GmbH Textile Research, Millennium Park 15, 6890 Lustenau, Austria
| | - Müslüm Kaplan
- Department of Textile Engineering, Faculty of Engineering, Architecture and Design, Bartin University, Bartin 74110, Turkey
| | - Çağlar Sivri
- Management Engineering Department, Faculty of Engineering and Natural Sciences, Bahcesehir University, İstanbul 34349, Turkey
| | - José Vicente Ros-Lis
- Centro de Reconocimiento Molecular y Desarrollo Tecnologico (IDM), Unidad Mixta Universitat Politecnica de Valencia, Universitat de Valencia, Departamento de Química Inorgánica, Universitat de València, Doctor Moliner 56, 46100 Valencia, Spain
| | - Daiva Mikucioniene
- Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu Str. 56, 50404 Kaunas, Lithuania
| | - Muhammad Usman Munir
- Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu Str. 56, 50404 Kaunas, Lithuania
| | - Nuray Kizildag
- Institute of Nanotechnology, Gebze Technical University, Gebze, Kocaeli 41400, Turkey
- Integrated Manufacturing Technologies Research and Application Center, Sabanci University, Pendik, Istanbul 34906, Turkey
| | - Serkan Unal
- Integrated Manufacturing Technologies Research and Application Center, Sabanci University, Pendik, Istanbul 34906, Turkey
- Faculty of Engineering and Natural Sciences, Material Science and Nanoengineering, Sabanci University, Tuzla, Istanbul 34956, Turkey
| | - Ivo Safarik
- Department of Nanobiotechnology, Biology Centre, ISBB, CAS, Na Sadkach 7, 370 05 Ceske Budejovice, Czech Republic
- Regional Centre of Advanced Technologies and Materials, Czech Advanced Technology and Research Institute, Palacky University, Slechtitelu 27, 783 71 Olomouc, Czech Republic
| | - Esra Akgül
- Department of Industrial Design Engineering, Faculty of Engineering, Erciyes University, Kayseri 38039, Turkey
| | - Nida Yıldırım
- Trabzon Vocational School, Karadeniz Technical University, Trabzon 61080, Turkey
| | - Ayşe Çelik Bedeloğlu
- Department of Polymer Materials Engineering, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa 16310, Turkey
| | - Ömer Faruk Ünsal
- Department of Polymer Materials Engineering, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa 16310, Turkey
| | - Gordon Herwig
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, 9014 St. Gallen, Switzerland
| | - René M Rossi
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, 9014 St. Gallen, Switzerland
| | - Peter Wick
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Particle-Biology Interactions, 9014 St. Gallen, Switzerland
| | - Pietro Clement
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Particle-Biology Interactions, 9014 St. Gallen, Switzerland
| | - A Sezai Sarac
- Department of Chemistry, Polymer Science and Technology, Faculty of Sciences and Letters, Istanbul Technical University, Istanbul 34469, Turkey
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30
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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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31
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Bošković F, Zhu J, Tivony R, Ohmann A, Chen K, Alawami MF, Đorđević M, Ermann N, Pereira-Dias J, Fairhead M, Howarth M, Baker S, Keyser UF. Simultaneous identification of viruses and viral variants with programmable DNA nanobait. NATURE NANOTECHNOLOGY 2023; 18:290-298. [PMID: 36646828 PMCID: PMC10020084 DOI: 10.1038/s41565-022-01287-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 11/07/2022] [Indexed: 05/31/2023]
Abstract
Respiratory infections are the major cause of death from infectious disease worldwide. Multiplexed diagnostic approaches are essential as many respiratory viruses have indistinguishable symptoms. We created self-assembled DNA nanobait that can simultaneously identify multiple short RNA targets. The nanobait approach relies on specific target selection via toehold-mediated strand displacement and rapid readout via nanopore sensing. Here we show that this platform can concurrently identify several common respiratory viruses, detecting a panel of short targets of viral nucleic acids from multiple viruses. Our nanobait can be easily reprogrammed to discriminate viral variants with single-nucleotide resolution, as we demonstrated for several key SARS-CoV-2 variants. Last, we show that the nanobait discriminates between samples extracted from oropharyngeal swabs from negative- and positive-SARS-CoV-2 patients without preamplification. Our system allows for the multiplexed identification of native RNA molecules, providing a new scalable approach for the diagnostics of multiple respiratory viruses in a single assay.
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Affiliation(s)
- Filip Bošković
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Jinbo Zhu
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Ran Tivony
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | | | - Kaikai Chen
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | | | - Milan Đorđević
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Niklas Ermann
- Cavendish Laboratory, University of Cambridge, Cambridge, UK
| | - Joana Pereira-Dias
- University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Hills Road, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Hills Road, Cambridge, UK
| | | | - Mark Howarth
- Department of Biochemistry, University of Oxford, Oxford, UK
| | - Stephen Baker
- University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Hills Road, Cambridge, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Hills Road, Cambridge, UK
| | - Ulrich F Keyser
- Cavendish Laboratory, University of Cambridge, Cambridge, UK.
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32
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Electroanalytical application of Ag@POM@rGO nanocomposite and ionic liquid modified carbon paste electrode for the quantification of ciprofloxacin antibiotic. J Electroanal Chem (Lausanne) 2023. [DOI: 10.1016/j.jelechem.2023.117321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
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33
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Ang PC, Perumal V, Ibrahim MNM, Adnan R, Mohd Azman DK, Gopinath SCB, Raja PB. Electrochemical biosensor detection on respiratory and flaviviruses. Appl Microbiol Biotechnol 2023; 107:1503-1513. [PMID: 36719432 PMCID: PMC9887245 DOI: 10.1007/s00253-023-12400-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/14/2023] [Accepted: 01/18/2023] [Indexed: 02/01/2023]
Abstract
Viruses have spread throughout the world and cause acute illness or death among millions of people. There is a growing concern about methods to control and combat early-stage viral infections to prevent the significant public health problem. However, conventional detection methods like polymerase chain reaction (PCR) requires sample purification and are time-consuming for further clinical diagnosis. Hence, establishing a portable device for rapid detection with enhanced sensitivity and selectivity for the specific virus to prevent further spread becomes an urgent need. Many research groups are focusing on the potential of the electrochemical sensor to become a key for developing point-of-care (POC) technologies for clinical analysis because it can solve most of the limitations of conventional diagnostic methods. Herein, this review discusses the current development of electrochemical sensors for the detection of respiratory virus infections and flaviviruses over the past 10 years. Trends in future perspectives in rapid clinical detection sensors on viruses are also discussed. KEY POINTS: • Respiratory related viruses and Flavivirus are being concerned for past decades. • Important to differentiate the cross-reactivity between the virus in same family. • Electrochemical biosensor as a suitable device to detect viruses with high performance.
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Affiliation(s)
- Phaik Ching Ang
- School of Chemical Sciences, Universiti Sains Malaysia, 11800, Gelugor, Penang, Malaysia
| | - Veeradasan Perumal
- Centre of Innovative Nanostructures and Nanodevices (COINN), Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia
- Mechanical Engineering Department, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia
| | | | - Rohana Adnan
- School of Chemical Sciences, Universiti Sains Malaysia, 11800, Gelugor, Penang, Malaysia
| | - Daruliza Kernain Mohd Azman
- Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Penang, Gelugor, Malaysia
| | - Subash C B Gopinath
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), 01000, Kangar, Perlis, Malaysia
- Faculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600, Arau, Perlis, Malaysia
- Micro System Technology, Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP), Pauh Campus, 02600, Arau, Perlis, Malaysia
| | - Pandian Bothi Raja
- School of Chemical Sciences, Universiti Sains Malaysia, 11800, Gelugor, Penang, Malaysia.
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34
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Moyseowicz A, Minta D, Gryglewicz G. Conductive Polymer/Graphene‐based Composites for Next Generation Energy Storage and Sensing Applications. ChemElectroChem 2023. [DOI: 10.1002/celc.202201145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Affiliation(s)
- Adam Moyseowicz
- Department of Process Engineering and Technology of Polymer and Carbon Materials Wrocław University of Science and Technology Wybrzeże Stanisława Wyspiańskiego 27 50-370 Wrocław Poland
| | - Daria Minta
- Department of Process Engineering and Technology of Polymer and Carbon Materials Wrocław University of Science and Technology Wybrzeże Stanisława Wyspiańskiego 27 50-370 Wrocław Poland
| | - Grażyna Gryglewicz
- Department of Process Engineering and Technology of Polymer and Carbon Materials Wrocław University of Science and Technology Wybrzeże Stanisława Wyspiańskiego 27 50-370 Wrocław Poland
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35
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DNA-functionalized covalent organic framework capsules for analysis of exosomes. Talanta 2023. [DOI: 10.1016/j.talanta.2022.124043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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36
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Dong T, Matos Pires NM, Yang Z, Jiang Z. Advances in Electrochemical Biosensors Based on Nanomaterials for Protein Biomarker Detection in Saliva. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2205429. [PMID: 36585368 PMCID: PMC9951322 DOI: 10.1002/advs.202205429] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/20/2022] [Indexed: 06/02/2023]
Abstract
The focus on precise medicine enhances the need for timely diagnosis and frequent monitoring of chronic diseases. Moreover, the recent pandemic of severe acute respiratory syndrome coronavirus 2 poses a great demand for rapid detection and surveillance of viral infections. The detection of protein biomarkers and antigens in the saliva allows rapid identification of diseases or disease changes in scenarios where and when the test response at the point of care is mandated. While traditional methods of protein testing fail to provide the desired fast results, electrochemical biosensors based on nanomaterials hold perfect characteristics for the detection of biomarkers in point-of-care settings. The recent advances in electrochemical sensors for salivary protein detection are critically reviewed in this work, with emphasis on the role of nanomaterials to boost the biosensor analytical performance and increase the reliability of the test in human saliva samples. Furthermore, this work identifies the critical factors for further modernization of the nanomaterial-based electrochemical sensors, envisaging the development and implementation of next-generation sample-in-answer-out systems.
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Affiliation(s)
- Tao Dong
- Department of Microsystems‐ IMSFaculty of TechnologyNatural Sciences and Maritime SciencesUniversity of South‐Eastern Norway‐USNP.O. Box 235Kongsberg3603Norway
| | - Nuno Miguel Matos Pires
- Chongqing Key Laboratory of Micro‐Nano Systems and Intelligent TransductionCollaborative Innovation Center on Micro‐Nano Transduction and Intelligent Eco‐Internet of ThingsChongqing Key Laboratory of Colleges and Universities on Micro‐Nano Systems Technology and Smart TransducingNational Research Base of Intelligent Manufacturing ServiceChongqing Technology and Business UniversityNan'an DistrictChongqing400067China
| | - Zhaochu Yang
- Chongqing Key Laboratory of Micro‐Nano Systems and Intelligent TransductionCollaborative Innovation Center on Micro‐Nano Transduction and Intelligent Eco‐Internet of ThingsChongqing Key Laboratory of Colleges and Universities on Micro‐Nano Systems Technology and Smart TransducingNational Research Base of Intelligent Manufacturing ServiceChongqing Technology and Business UniversityNan'an DistrictChongqing400067China
| | - Zhuangde Jiang
- Chongqing Key Laboratory of Micro‐Nano Systems and Intelligent TransductionCollaborative Innovation Center on Micro‐Nano Transduction and Intelligent Eco‐Internet of ThingsChongqing Key Laboratory of Colleges and Universities on Micro‐Nano Systems Technology and Smart TransducingNational Research Base of Intelligent Manufacturing ServiceChongqing Technology and Business UniversityNan'an DistrictChongqing400067China
- State Key Laboratory for Manufacturing Systems EngineeringInternational Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologyXi'an Jiaotong UniversityXi'an710049China
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37
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Pei F, Feng S, Hu W, Liu B, Mu X, Hao Q, Cao Y, Lei W, Tong Z. Sandwich mode lateral flow assay for point-of-care detecting SARS-CoV-2. Talanta 2023; 253. [PMCID: PMC9612878 DOI: 10.1016/j.talanta.2022.124051] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The global corona virus disease 2019 (COVID-19) has been announced a pandemic outbreak, and has threatened human life and health seriously. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as its causative pathogen, is widely detected in the screening of COVID-19 patients, infected people and contaminated substances. Lateral flow assay (LFA) is a popular point-of-care detection method, possesses advantages of quick response, simple operation mode, portable device, and low cost. Based on the above advantages, LFA has been widely developed for detecting SARS-CoV-2. In this review, we summarized the articles about the sandwich mode LFA detecting SARS-CoV-2, classified according to the target detection objects indicating genes, nucleocapsid protein, spike protein, and specific antibodies of SARS-CoV-2. In each part, LFA is further classified and summarized according to different signal detection types. Additionally, the properties of the targets were introduced to clarify their detection significance. The review is expected to provide a helpful guide for LFA sensitization and marker selection of SARS-CoV-2.
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Affiliation(s)
- Fubin Pei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Shasha Feng
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Wei Hu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Qingli Hao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Yang Cao
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China
| | - Wu Lei
- School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu, China,Corresponding author
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China,Corresponding author
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Ong V, Soleimani A, Amirghasemi F, Khazaee Nejad S, Abdelmonem M, Razaviyayn M, Hosseinzadeh P, Comai L, Mousavi MPS. Impedimetric Sensing: An Emerging Tool for Combating the COVID-19 Pandemic. BIOSENSORS 2023; 13:bios13020204. [PMID: 36831970 PMCID: PMC9953732 DOI: 10.3390/bios13020204] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 06/12/2023]
Abstract
The COVID-19 pandemic revealed a pressing need for the development of sensitive and low-cost point-of-care sensors for disease diagnosis. The current standard of care for COVID-19 is quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). This method is sensitive, but takes time, effort, and requires specialized equipment and reagents to be performed correctly. This make it unsuitable for widespread, rapid testing and causes poor individual and policy decision-making. Rapid antigen tests (RATs) are a widely used alternative that provide results quickly but have low sensitivity and are prone to false negatives, particularly in cases with lower viral burden. Electrochemical sensors have shown much promise in filling this technology gap, and impedance spectroscopy specifically has exciting potential in rapid screening of COVID-19. Due to the data-rich nature of impedance measurements performed at different frequencies, this method lends itself to machine-leaning (ML) algorithms for further data processing. This review summarizes the current state of impedance spectroscopy-based point-of-care sensors for the detection of the SARS-CoV-2 virus. This article also suggests future directions to address the technology's current limitations to move forward in this current pandemic and prepare for future outbreaks.
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Affiliation(s)
- Victor Ong
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Ali Soleimani
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Farbod Amirghasemi
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Sina Khazaee Nejad
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Mona Abdelmonem
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Meisam Razaviyayn
- Daniel J. Epstein Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Parisa Hosseinzadeh
- Knight Campus Center Department of Bioengineering, University of Oregon, Eugene, OR 97403, USA
| | - Lucio Comai
- Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Maral P. S. Mousavi
- Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
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Yang X, Yin ZZ, Zheng G, Zhou M, Zhang H, Li J, Cai W, Kong Y. Molecularly imprinted miniature electrochemical biosensor for SARS-CoV-2 spike protein based on Au nanoparticles and reduced graphene oxide modified acupuncture needle. Bioelectrochemistry 2023; 151:108375. [PMID: 36716516 PMCID: PMC9883973 DOI: 10.1016/j.bioelechem.2023.108375] [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: 12/13/2022] [Revised: 01/10/2023] [Accepted: 01/20/2023] [Indexed: 01/28/2023]
Abstract
Accurate detection of SARS-CoV-2 spike (SARS-CoV-2-S) protein is of clinical significance for early diagnosis and timely treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Herein, a surface molecularly imprinted miniature biosensor was fabricated. Au nanoparticles (AuNPs), reduced graphene oxide (rGO), poly(methylene blue)/poly(ionic liquids) and poly(ionic liquids) were successively electrodeposited onto the pinpoint of an acupuncture needle (AN). The molecularly imprinted miniature biosensor was obtained after the template of SARS-CoV-2-S protein was removed, which could be used for sensitive detection of SARS-CoV-2-S protein. The linear range and limit of detection (LOD) were 0.1 ∼ 1000 ng mL-1 and 38 pg mL-1, respectively, which were superior to other molecularly imprinted biosensors previously reported. The developed miniature biosensor also exhibited high specificity and stability. The reliability of the biosensor was evaluated by the detection of SARS-CoV-2-S protein in clinical serum samples.
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Affiliation(s)
- Xu Yang
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Zheng-Zhi Yin
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, China.
| | - Guojun Zheng
- Department of Clinical Laboratory, Changzhou No.3 People's Hospital, Changzhou 213001, China
| | - Min Zhou
- 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
| | - Junyao Li
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China
| | - Wenrong Cai
- Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology, School of Petrochemical Engineering, Changzhou University, Changzhou 213164, China; Shandong Key Laboratory of Biochemical Analysis, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, 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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40
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Tamiya E, Osaki S, Tsuchihashi T, Ushijima H, Tsukinoki K. Point-of-Care Diagnostic Biosensors to Monitor Anti-SARS-CoV-2 Neutralizing IgG/sIgA Antibodies and Antioxidant Activity in Saliva. BIOSENSORS 2023; 13:167. [PMID: 36831933 PMCID: PMC9953869 DOI: 10.3390/bios13020167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 01/15/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Monitoring biomarkers is a great way to assess daily physical condition, and using saliva instead of blood samples is more advantageous as the process is simple and allows individuals to test themselves. In the present study, we analyzed the titers of neutralizing antibodies, IgG and secretory IgA (sIgA), in response to the SARS-CoV-2 vaccine, in saliva. A total of 19 saliva and serum samples were collected over a 10-month period 3 weeks after the first vaccine, 8 months after the second vaccine, and 1 month after the third vaccine. The ranges of antibody concentrations post-vaccination were: serum IgG: 81-15,000 U/mL, salivary IgG: 3.4-330 U/mL, and salivary IgA: 58-870 ng/mL. A sharp increase in salivary IgG levels was observed after the second vaccination. sIgA levels also showed an increasing trend. A correlation with trends in serum IgG levels was observed, indicating the possibility of using saliva to routinely assess vaccine efficacy. The electrochemical immunosensor assay developed in this study based on the gold-linked electrochemical immunoassay, and the antioxidant activity measurement based on luminol electrochemiluminescence (ECL), can be performed using portable devices, which would prove useful for individual-based diagnosis using saliva samples.
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Affiliation(s)
- Eiichi Tamiya
- Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, Photonics Center, Osaka University, 2-1 Yamadaoka, Suita 565-0871, Osaka, Japan
- SANKEN, Osaka University, 8-1 Mihogaoka, Ibaraki 567-0047, Osaka, Japan
| | - Shuto Osaki
- Advanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, Photonics Center, Osaka University, 2-1 Yamadaoka, Suita 565-0871, Osaka, Japan
| | | | - Hiromi Ushijima
- BioDevice Technology Ltd., 2-3 Asahidai, Nomi 923-1211, Ishikawa, Japan
| | - Keiichi Tsukinoki
- Department of Environmental Pathology, Kanagawa Dental University, 82 Inaoka-cho, Yokosuka 238-0003, Kanagawa, Japan
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41
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Park G, Park H, Park SC, Jang M, Yoon J, Ahn JH, Lee T. Recent Developments in DNA-Nanotechnology-Powered Biosensors for Zika/Dengue Virus Molecular Diagnostics. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:361. [PMID: 36678114 PMCID: PMC9864780 DOI: 10.3390/nano13020361] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 06/17/2023]
Abstract
Zika virus (ZIKV) and dengue virus (DENV) are highly contagious and lethal mosquito-borne viruses. Global warming is steadily increasing the probability of ZIKV and DENV infection, and accurate diagnosis is required to control viral infections worldwide. Recently, research on biosensors for the accurate diagnosis of ZIKV and DENV has been actively conducted. Moreover, biosensor research using DNA nanotechnology is also increasing, and has many advantages compared to the existing diagnostic methods, such as polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA). As a bioreceptor, DNA can easily introduce a functional group at the 5' or 3' end, and can also be used as a folded structure, such as a DNA aptamer and DNAzyme. Instead of using ZIKV and DENV antibodies, a bioreceptor that specifically binds to viral proteins or nucleic acids has been fabricated and introduced using DNA nanotechnology. Technologies for detecting ZIKV and DENV can be broadly divided into electrochemical, electrical, and optical. In this review, advances in DNA-nanotechnology-based ZIKV and DENV detection biosensors are discussed.
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Affiliation(s)
- Goeun Park
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Hanbin Park
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Sang-Chan Park
- Department of Electronics Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
| | - Moonbong Jang
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Jinho Yoon
- Department of Biomedical-Chemical Engineering, The Catholic University of Korea, 43 Jibong-ro, Wonmi-gu, Bucheon-si 14662, Gyeonggi-do, Republic of Korea
| | - Jae-Hyuk Ahn
- Department of Electronics Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
| | - Taek Lee
- Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- TL Bioindustry, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Republic of Korea
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42
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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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Thakur D, Fatima T, Sharma P, Hasan MR, Malhotra N, Khanuja M, Shukla SK, Narang J. High-performance biosensing systems for diagnostics of Sexually transmitted disease – A strategic review. Process Biochem 2023. [DOI: 10.1016/j.procbio.2023.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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44
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Zhu Z, Liang A, Haotian R, Tang S, Liu M, Xie B, Luo A. Application of Biosensors in the Detection of SARS-CoV-2. ACTA CHIMICA SINICA 2023. [DOI: 10.6023/a22120483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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45
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Ake S, Kamila S, Wang G. Quantification of MicroRNAs or Viral RNAs with Microelectrode Sensors Enabled by Electrochemical Signal Amplification. Methods Mol Biol 2023; 2630:117-133. [PMID: 36689180 DOI: 10.1007/978-1-0716-2982-6_9] [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] [Indexed: 01/24/2023]
Abstract
Quantification of circulating microRNAs (miRNAs) or viral RNAs is of great significance because of their broad relevance to human health. Currently, quantitative reverse transcription polymerase chain reaction (qRT-PCR), as well as microarray and gene sequencing, are considered mainstream techniques for miRNA identification and quantitation and the gold standard for SARS-CoV2 detection in the COVID-19 pandemic. However, these laboratory techniques are challenged by the low levels and wide dynamic range (from aM to nM) of miRNAs in a physiological sample, as well as the difficulty in the implementation in point-of-care settings. Here, we describe a one-step label-free electrochemical sensing technique by assembling self-folded multi-stem DNA-redox probe structure on gold microelectrodes and introducing a reductant, tris(2-carboxyethyl) phosphine hydrochloride (TCEP), in the detection buffer solution to achieve ultrasensitive detection with a detection limit of 0.1 fM that can be further improved if needed.
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Affiliation(s)
- Sarah Ake
- Department of Chemistry, Georgia State University, Atlanta, GA, USA
| | - Swagatika Kamila
- Department of Chemistry, Georgia State University, Atlanta, GA, USA
| | - Gangli Wang
- Department of Chemistry, Georgia State University, Atlanta, GA, USA.
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46
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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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47
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Gričar E, Radić J, Genorio B, Kolar M. Highly Sensitive and Selective Graphene Nanoribbon Based Enzymatic Glucose Screen-Printed Electrochemical Sensor. SENSORS (BASEL, SWITZERLAND) 2022; 22:9590. [PMID: 36559958 PMCID: PMC9786066 DOI: 10.3390/s22249590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 11/29/2022] [Accepted: 12/04/2022] [Indexed: 06/17/2023]
Abstract
A simple, sensitive, cost effective, and reliable enzymatic glucose biosensor was developed and tested. Nitrogen-doped heat-treated graphene oxide nanoribbons (N-htGONR) were used for modification of commercially available screen-printed carbon electrodes (SPCEs), together with MnO2 and glucose oxidase. The resulting sensors were optimized and used to detect glucose in a wide linear range (0.05-5.0 mM) by a simple amperometric method, where the limit of detection was determined to be 0.008 mM. (lifetime), and reproducibility studies were also carried out and yielded favorable results. The sensor was then tested against potential interfering species present in food and beverage samples before its application to real matrix. Spiked beer samples were analyzed (with glucose recovery between 93.5 and 103.5%) to demonstrate the suitability of the developed sensor towards real food and beverage sample applications.
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Affiliation(s)
- Ema Gričar
- Department of Chemistry and Biochemistry, Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, 1000 Ljubljana, Slovenia
| | - Josip Radić
- Department of Environmental Chemistry, Faculty of Chemistry and Technology, R. Boškovića 35, 21000 Split, Croatia
| | - Boštjan Genorio
- Department of Chemical Engineering and Technical Safety, Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, 1000 Ljubljana, Slovenia
| | - Mitja Kolar
- Department of Chemistry and Biochemistry, Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, 1000 Ljubljana, Slovenia
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48
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Adeel M, Asif K, Alshabouna F, Canzonieri V, Rahman MM, Ansari SA, Güder F, Rizzolio F, Daniele S. Label-free electrochemical aptasensor for the detection of SARS-CoV-2 spike protein based on carbon cloth sputtered gold nanoparticles. BIOSENSORS & BIOELECTRONICS: X 2022; 12:100256. [PMID: 36187906 PMCID: PMC9508700 DOI: 10.1016/j.biosx.2022.100256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/05/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
The proliferation and transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or the (COVID-19) disease, has become a threat to worldwide biosecurity. Therefore, early diagnosis of COVID-19 is crucial to combat the ongoing infection spread. In this study we propose a flexible aptamer-based electrochemical sensor for the rapid, label-free detection of SARS-CoV-2 spike protein (SP). A platform made of a porous and flexible carbon cloth, coated with gold nanoparticles, to increase the conductivity and electrochemical performance of the material, was assembled with a thiol functionalized DNA aptamer via S-Au bonds, for the selective recognition of the SARS-CoV-2 SP. The various steps for the sensor preparation were followed by using scanning electron microscopy, cyclic voltammetry and differential pulse voltammetry (DPV). The proposed platform displayed good mechanical stability, revealing negligible changes on voltammetric responses to bending at various angles. Quantification of SARS-CoV-2 SP was performed by DPV and chronopotentiometry (CP), exploiting the changes of the electrical signals due the [Fe(CN)6]3-/4- redox probe, when SARS-CoV-2 SP binds to the aptamer immobilized on the electrode surface. Current density, in DPV, and square root of the transition time, in CP, varied linearly with the log[ SARS-CoV-2 SP], providing lower limits of detection (LOD) of 0.11 ng/mL and 37.8 ng/mL, respectively. The sensor displayed good selectivity, repeatability, and was tested in diluted human saliva, spiked with different SARS-CoV-2 SP concentrations, providing LODs of 0.167 ng/mL and 46.2 ng/mL for DPV and CP, respectively.
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Affiliation(s)
- Muhammad Adeel
- Department of Molecular Sciences and Nanosystems, Ca'Foscari University of Venice, 30123, Venezia, Italy
- Pathology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, Italy
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Kanwal Asif
- Department of Molecular Sciences and Nanosystems, Ca'Foscari University of Venice, 30123, Venezia, Italy
- Pathology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, Italy
| | - Fahad Alshabouna
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
- Center of Excellence for Advanced Materials and Manufacturing, King Abdulaziz City for Science and Technology, 11442, Riyadh, Saudi Arabia
| | - Vincenzo Canzonieri
- Pathology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, Italy
- Department of Medical, Surgical and Health Sciences, University of Trieste, 34127, Trieste, Italy
| | - Md Mahbubur Rahman
- Department of Applied Chemistry, Konkuk University, Chungju, 27478, South Korea
| | - Sajid Ali Ansari
- Department of Physics, College of Science, King Faisal University, P. O. Box 400, Hofuf, Al-Ahsa, 31982, Saudi Arabia
| | - Firat Güder
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Flavio Rizzolio
- Department of Molecular Sciences and Nanosystems, Ca'Foscari University of Venice, 30123, Venezia, Italy
- Pathology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081, Aviano, Italy
| | - Salvatore Daniele
- Department of Molecular Sciences and Nanosystems, Ca'Foscari University of Venice, 30123, Venezia, Italy
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49
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Preethi M, Roy L, Lahkar S, Borse V. Outlook of various diagnostics and nanodiagnostic techniques for COVID-19. BIOSENSORS & BIOELECTRONICS: X 2022; 12:100276. [PMID: 36345412 PMCID: PMC9632232 DOI: 10.1016/j.biosx.2022.100276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/15/2022] [Accepted: 10/26/2022] [Indexed: 05/06/2023]
Abstract
The sudden outbreak of the coronavirus disease 2019 (COVID-19) pandemic has brought to the fore the existing threat of disease-causing pathogens that affect public health all over the world. It has left the best healthcare systems struggling to contain the spread of disease and its consequences. Under challenging circumstances, several innovative technologies have emerged that facilitated quicker diagnosis and treatment. Nanodiagnostic devices are biosensing platforms developed using nanomaterials such as nanoparticles, nanotubes, nanowires, etc. These devices have the edge over conventional techniques such as reverse transcription-polymerase chain reaction (RT-PCR) because of their ease of use, quicker analysis, possible miniaturization, and scope for use in point-of-care (POC) treatment. This review discusses the techniques currently used for COVID-19 diagnosis, emphasizing nanotechnology-based diagnostic devices. The commercialized nanodiagnostic devices in various research and development stages are also reviewed. The advantages of nanodiagnostic devices over other techniques are discussed, along with their limitations. Additionally, the important implications of the utility of nanodiagnostic devices in COVID-19, their prospects for future development for use in clinical and POC settings, and personalized healthcare are also discussed.
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Affiliation(s)
- Mosam Preethi
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
| | - Lavanika Roy
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
| | - Sukanya Lahkar
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
| | - Vivek Borse
- NanoBioSens Lab, Department of Medical Devices, National Institute of Pharmaceutical Education & Research (NIPER) Hyderabad, Hyderabad, 500037, Telangana, India
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50
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Cardoso AR, Alves JF, Frasco MF, Piloto AM, Serrano V, Mateus D, Sebastião AI, Matos AM, Carmo A, Cruz T, Fortunato E, Sales MGF. An ultra-sensitive electrochemical biosensor using the Spike protein for capturing antibodies against SARS-CoV-2 in point-of-care. Mater Today Bio 2022; 16:100354. [PMID: 35847374 PMCID: PMC9270181 DOI: 10.1016/j.mtbio.2022.100354] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/02/2022] [Accepted: 07/05/2022] [Indexed: 11/30/2022] Open
Abstract
This work presents an innovative ultra-sensitive biosensor having the Spike protein on carbon-based screen-printed electrodes (SPEs), for monitoring in point-of-care antibodies against SARS-CoV-2, a very important tool for epidemiological monitoring of COVID-19 infection and establishing vaccination schemes. In an innovative and simple approach, a highly conductive support is combined with the direct adsorption of Spike protein to enable an extensive antibody capture. The high conductivity was ensured by using carboxylated carbon nanotubes on the carbon electrode, by means of a simple and quick approach, which also increased the surface area. These were then modified with EDC/NHS chemistry to produce an amine layer and undergo Spike protein adsorption, to generate a stable layer capable of capturing the antibodies against SARS-CoV-2 in serum with great sensitivity. Electrochemical impedance spectroscopy was used to evaluate the analytical performance of this biosensor in serum. It displayed a linear response between 1.0 pg/mL and 10 ng/mL, with a detection limit of ∼0.7 pg/mL. The analysis of human positive sera containing antibody in a wide range of concentrations yielded accurate data, correlating well with the reference method. It also offered the unique ability of discriminating antibody concentrations in sera below 2.3 μg/mL, the lowest value detected by the commercial method. In addition, a proof-of-concept study was performed by labelling anti-IgG antibodies with quantum dots to explore a new electrochemical readout based on the signal generated upon binding to the anti-S protein antibodies recognised on the surface of the biosensor. Overall, the alternative serologic assay presented is a promising tool for assessing protective immunity to SARS-CoV-2 and a potential guide for revaccination. An ultra-sensitive biosensor for detection of low levels of antibodies against SARS-CoV-2. Highly conductive substrate with adsorbed protein S and point-of-care capability. Application to human sera samples and good correlation with commercial method. Electrochemical impedance readings with an iron-based redox probe. Alternative electrochemical impedance readings with anti-IgG labelled with quantum dots.
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Affiliation(s)
- Ana R Cardoso
- BioMark@UC/CEB - LABBELS, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal.,BioMark@ISEP/ CEB - LABBELS, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal.,CENIMAT
- i3N, Department of Materials Science, School of Science and Technology, NOVA University of Lisbon and CEMOP/UNINOVA, Campus de Caparica, 2829-516, Caparica, Portugal
| | - João Frederico Alves
- BioMark@UC/CEB - LABBELS, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal
| | - Manuela F Frasco
- BioMark@UC/CEB - LABBELS, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal
| | - Ana Margarida Piloto
- BioMark@ISEP/ CEB - LABBELS, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal
| | - Verónica Serrano
- BioMark@UC/CEB - LABBELS, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal
| | - Daniela Mateus
- BioMark@UC/CEB - LABBELS, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
| | - Ana Isabel Sebastião
- Center for Neuroscience and Cell Biology, Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
| | - Ana Miguel Matos
- Chemical Engineering Processes and Forest Products Research Center, Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
| | - Anália Carmo
- Clinical Pathology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Teresa Cruz
- Center for Neuroscience and Cell Biology, Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
| | - Elvira Fortunato
- CENIMAT
- i3N, Department of Materials Science, School of Science and Technology, NOVA University of Lisbon and CEMOP/UNINOVA, Campus de Caparica, 2829-516, Caparica, Portugal
| | - M Goreti F Sales
- BioMark@UC/CEB - LABBELS, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal.,BioMark@ISEP/ CEB - LABBELS, School of Engineering, Polytechnic Institute of Porto, Porto, Portugal
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