ArticleBiosensors & bioelectronics2021
A rapid diagnosis of SARS-CoV-2 using DNA hydrogel formation on microfluidic pores.
Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed, 68 citations in OpenAlex.
- Smart Nucleic Acid Hydrogel-Based Biosensors: From Molecular Recognition and Responsive Mechanisms to Applications.Biosensors · 2025Review
- Review
- Diagnostic performance of respirators for collection and detection of SARS-CoV-2.Scientific reports · 2023Article
- Recent Advances in Molecular and Immunological Diagnostic Platform for Virus Detection: A Review.Biosensors · 2023Review
- Microfluidic-based technologies for diagnosis, prevention, and treatment of COVID-19: recent advances and future directions.Biomedical microdevices · 2023Review
- Review
- Microfluidics for COVID-19: From Current Work to Future Perspective.Biosensors · 2023Review
- Design and application of stimuli-responsive DNA hydrogels: A review.Materials today. Bio · 2022Review
- Outlook of various diagnostics and nanodiagnostic techniques for COVID-19.Biosensors & bioelectronics: X · 2022Article
- Hydrogel-Based Biosensors.Gels (Basel, Switzerland) · 2022Review
- Platinum nanoparticles (PtNPs)-based CRISPR/Cas12a platform for detection of nucleic acid and protein in clinical samples.Analytica chimica acta · 2022Article
- Review
- Emerging Bioanalytical Devices and Platforms for Rapid Detection of Pathogens in Environmental Samples.Micromachines · 2022Review
- Advancements in Testing Strategies for COVID-19.Biosensors · 2022Review
- Microfluidics Technology in SARS-CoV-2 Diagnosis and Beyond: A Systematic Review.Life (Basel, Switzerland) · 2022Review
- Conventional and Microfluidic Methods for the Detection of Nucleic Acid of SARS-CoV-2.Micromachines · 2022Review
- Microfluidics-based strategies for molecular diagnostics of infectious diseases.Military Medical Research · 2022Review
- Microfluidics-Based Biosensing Platforms: Emerging Frontiers in Point-of-Care Testing SARS-CoV-2 and Seroprevalence.Biosensors · 2022Review
- Recent Advances in Polymer Additive Engineering for Diagnostic and Therapeutic Hydrogels.International journal of molecular sciences · 2022Review
- A review on corona virus disease 2019 (COVID-19): current progress, clinical features and bioanalytical diagnostic methods.Mikrochimica acta · 2022Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has been a major public health challenge in 2020. Early diagnosis of COVID-19 is the most effective method to control disease spread and prevent further mortality. As such, a high-precision and rapid yet economic assay method is urgently required. Herein, we propose an innovative method to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using isothermal amplification of nucleic acids on a mesh containing multiple microfluidic pores. Hybridization of pathogen DNA and immobilized probes forms a DNA hydrogel by rolling circle amplification and, consequently, blocks the pores to prevent fluid movement, as observed. Following optimization of several factors, including pore size, mesh location, and precision microfluidics, the limit of detection (LOD) for SARS-CoV-2 was determined to be 0.7 aM at 15-min incubation. These results indicate rapid, easy, and effective detection with a moderate-sized LOD of the target pathogen by remote point-of-care testing and without the requirement of any sophisticated device.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.