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Sadique MA, Yadav S, Khan R, Srivastava AK. Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19. Chem Soc Rev 2024; 53:3774-3828. [PMID: 38433614 DOI: 10.1039/d3cs00719g] [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: 03/05/2024]
Abstract
More than four years have passed since an inimitable coronavirus disease (COVID-19) pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute respiratory syndrome (SARS-CoV-2) infection. The occurrence of this highly contagious respiratory infectious disease led to chaos and mortality all over the world. The peak paradigm shift of the researchers was inclined towards the accurate and rapid detection of diseases. Since 2019, there has been a boost in the diagnostics of COVID-19 via numerous conventional diagnostic tools like RT-PCR, ELISA, etc., and advanced biosensing kits like LFIA, etc. For the same reason, the use of nanotechnology and two-dimensional nanomaterials (2DNMs) has aided in the fabrication of efficient diagnostic tools to combat COVID-19. This article discusses the engineering techniques utilized for fabricating chemically active E2DNMs that are exceptionally thin and irregular. The techniques encompass the introduction of heteroatoms, intercalation of ions, and the design of strain and defects. E2DNMs possess unique characteristics, including a substantial surface area and controllable electrical, optical, and bioactive properties. These characteristics enable the development of sophisticated diagnostic platforms for real-time biosensors with exceptional sensitivity in detecting SARS-CoV-2. Integrating the Internet of Medical Things (IoMT) with these E2DNMs-based advanced diagnostics has led to the development of portable, real-time, scalable, more accurate, and cost-effective SARS-CoV-2 diagnostic platforms. These diagnostic platforms have the potential to revolutionize SARS-CoV-2 diagnosis by making it faster, easier, and more accessible to people worldwide, thus making them ideal for resource-limited settings. These advanced IoMT diagnostic platforms may help with combating SARS-CoV-2 as well as tracking and predicting the spread of future pandemics, ultimately saving lives and mitigating their impact on global health systems.
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Affiliation(s)
- Mohd Abubakar Sadique
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Shalu Yadav
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Raju Khan
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Avanish K Srivastava
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal 462026, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
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Park SY, Trinh KTL, Song YJ, Lee NY. Pipette-free field-deployable molecular diagnostic kit for bimodal visual detection of infectious RNA viruses. Biotechnol J 2024; 19:e2300521. [PMID: 38403439 DOI: 10.1002/biot.202300521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/22/2023] [Accepted: 01/08/2024] [Indexed: 02/27/2024]
Abstract
Here, we developed a field-deployable molecular diagnostic kit for the detection of RNA viruses that operates in a pipette-free manner. The kit is composed of acrylic sticks, PCR tubes, and palm-sized three-dimensional(3D)-printed heaters operated by batteries. The kit performs RNA extraction, reverse transcriptase loop-mediated isothermal amplification (RT-LAMP), and visual detection in one kit. An acrylic stick was engraved with one shallow and one deep cylindrical chamber at each end for the insertion of an FTA card and ethidium homodimer-1 (EthD-1), respectively, to perform RNA extraction/purification and bimodal visual detection of the target amplicons. First, an intercalation of EthD-1 into the target DNA initially produces fluorescence upon UV illumination. Next, the addition of a strong oxidant, in this case sodium (meta) periodate (NaIO4 ), produces intense aggregates in the presence of EthD-1-intercalated DNA, realized by electrostatic interaction. In the absence of the target amplicon, no fluorescence or aggregates are observed. Using this kit, two major infectious viruses-severe fever with thrombocytopenia syndrome virus (SFTSV) and severe acute respiratory syndrome coronavirus (SARS-CoV-2)-were successfully detected in 1 h, and the limits of detection (LOD) were approximately 1 virus μL-1 for SFTSV and 103 copies μL-1 for SARS-CoV-2 RNA. The introduced kit is portable, end-user-friendly, and can be operated in a pipette-free manner, paving the way for simple and convenient virus detection in resource-limited settings.
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Affiliation(s)
- So Yeon Park
- Department of BioNano Technology, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Kieu The Loan Trinh
- BioNano Applications Research Center, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Yoon-Jae Song
- Department of Life Science, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Nae Yoon Lee
- Department of BioNano Technology, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea
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Banada PP, Green R, Streck D, Kurvathi R, Reiss R, Banik S, Daivaa N, Montalvan I, Jones R, Marras SAE, Chakravorty S, Alland D. An expanded RT-PCR melting temperature coding assay to rapidly identify all known SARS-CoV-2 variants and sub-variants of concern. Sci Rep 2023; 13:21927. [PMID: 38081834 PMCID: PMC10713575 DOI: 10.1038/s41598-023-48647-8] [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: 03/08/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
The continued emergence of vaccine-resistant SARS-CoV-2 variants of concern (VOC) requires specific identification of each VOC as it arises. Here, we report an expanded version of our previously described sloppy molecular beacon (SMB) melting temperature (Tm) signature-based assay for VOCs, now modified to include detection of Delta (B.1.617.2) and Omicron (B.1.1.529) sub-variants. The SMB-VOC assay targets the signature codons 501, 484 and 452 in the SARS-CoV-2 spike protein which we show can specifically detect and differentiate all known VOCs including the Omicron subvariants (BA.1, BA.2, BA.2.12.1, BA.4/BA.5). The limit of detection (LOD) of the assay was 20, 22 and 36 genomic equivalents (GE) per reaction with the Delta, Omicron BA.1 and BA.2 respectively. Clinical validation of the 3-codon assay in the LC480 instrument showed the assay detected 94% (81/86) of the specimens as WT or VOCs and 6% (5/86) of the tests producing indeterminate results compared to sequencing. Sanger sequencing also failed for four samples. None of the specimens were incorrectly identified as WT or as a different VOC by our assay. Thus, excluding specimens with indeterminant results, the assay was 100% sensitive and 100% specific compared to Sanger sequencing for variant identification. This new assay concept can be easily expanded to add newer variants and can serve as a robust diagnostic tool for selecting appropriate monoclonal antibody therapy and rapid VOC surveillance.
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Affiliation(s)
- Padmapriya P Banada
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
| | - Raquel Green
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | - Deanna Streck
- Institute of Genomic Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Rohini Kurvathi
- Institute of Genomic Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Robert Reiss
- Division of Infectious Diseases, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Sukalyani Banik
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | - Naranjargal Daivaa
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | | | | | - Salvatore A E Marras
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | - Soumitesh Chakravorty
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
- Cepheid, Sunnyvale, CA, USA
| | - David Alland
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
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Ho KL, Ding J, Fan JS, Tsui WNT, Bai J, Fan SK. Digital Microfluidic Multiplex RT-qPCR for SARS-CoV-2 Detection and Variants Discrimination. MICROMACHINES 2023; 14:1627. [PMID: 37630161 PMCID: PMC10456927 DOI: 10.3390/mi14081627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/05/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023]
Abstract
Continuous mutations have occurred in the genome of the SARS-CoV-2 virus since the onset of the COVID-19 pandemic. The increased transmissibility of the mutated viruses has not only imposed medical burdens but also prolonged the duration of the pandemic. A point-of-care (POC) platform that provides multitarget detection will help to track and reduce disease transmissions. Here we detected and discriminated three genotypes of SARS-CoV-2, including the wildtype and two variants of concern (VOCs), the Delta variant and Omicron variant, through reverse transcription quantitative polymerase chain reaction (RT-qPCR) on a digital microfluidics (DMF)-based cartridge. Upon evaluating with the RNA samples of Omicron variant, the DMF RT-qPCR presented a sensitivity of 10 copies/μL and an amplification efficiency of 96.1%, capable for clinical diagnosis. When spiking with SARS-CoV-2 RNA (wildtype, Delta variant, or Omicron variant) and 18S rDNA, the clinical analog samples demonstrated accurate detection and discrimination of different SARS-CoV-2 strains in 49 min.
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Affiliation(s)
- Kuan-Lun Ho
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
| | - Jing Ding
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
| | - Jia-Shao Fan
- Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA;
| | - Wai Ning Tiffany Tsui
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS 66506, USA; (W.N.T.T.); (J.B.)
| | - Jianfa Bai
- Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS 66506, USA; (W.N.T.T.); (J.B.)
- Department of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, KS 66506, USA
| | - Shih-Kang Fan
- Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USA; (K.-L.H.); (J.D.)
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