Advanced Detection of SARS-CoV-2 and Omicron Variants via MXene-Graphene Hybrid Biosensors Utilizing Nucleic Acid Probes
Low-cost biosensors that can rapidly and widely detect viruses are critical for faster diagnosis and treatment decision-making, especially for infections. The commonly used field-effect transistor is sensitive to the biomarker’s detection but struggles with precise detection, particularly of nontargets such as ions and proteins. To overcome this limitation, we developed a field-effect transistor biosensor design based on MXene-graphene materials to increase the accuracy and sensitivity of virus detection. Based on the hybridization process between two complementary DNA strands, single-stranded nucleic acids were immobilized on the sensing surface via 3-aminopropyltriethoxysilane and glutaraldehyde to capture the nucleic acids of the target virus. The addition of the MXene layer provides a reduced system capacitance and tuned bandgap compared to that of stand-alone graphene. This tuning can significantly enhance the sensitivity of the developed platform. The SARS-CoV-2 and its Omicron variant were used to validate the developed biosensor. The results showed high accuracy with detection limits as low as 1 × 10–21 and 1 × 10–22 mol/L (60.2 and 6.02 copies/L equivalently), for SARS-CoV-2 and its Omicron variant, respectively. Twenty-four clinical tests were also conducted using the developed ssDNA-MXene-graphene biosensors with patients’ nasopharyngeal swab samples. The biosensor’s results closely matched those of the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) detection but with a significantly shorter detection time, demonstrating the sensors’ real-time, in situ, practical application. This result also demonstrates the promising future of MXene-based biosensors for virus detection using nucleic acid probes.
Authors
- Chenglin Wu (ORCID: https://orcid.org/0000-0001-7733-1084)
- Adrianus C. M. Boon (ORCID: https://orcid.org/0000-0002-4700-8224)
- Yue‐Wern Huang (ORCID: https://orcid.org/0000-0003-1957-6459)
- Risheng Wang (ORCID: https://orcid.org/0000-0001-6539-1565)
- Hsin-Yin Chuang
- Congjie Wei
- Logan Pearce (ORCID: https://orcid.org/0000-0003-3904-7378)
- Zhekun Peng (ORCID: https://orcid.org/0000-0002-0722-8097)
- Jiaoli Li (ORCID: https://orcid.org/0000-0002-0153-9695)
- Yanxiao Li (ORCID: https://orcid.org/0000-0002-0600-8711)
- Yuwei Zhang (ORCID: https://orcid.org/0000-0001-8927-3184)
- DongHyun Kim (ORCID: https://orcid.org/0000-0003-2738-9549)
Institutions
- Missouri University of Science and Technology (US)
- Washington University in St. Louis (US)
- Mitchell Institute (US)
- National Energy Technology Laboratory (US)
- University of Zadar (HR)
- Texas A&M University (US)
Publication Details
- Journal
- ACS Applied Nano Materials
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1021/acsanm.4c05198
- Citations
- 8
- Primary Topic
- MXene and MAX Phase Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- Division of Chemical, Bioengineering, Environmental, and Transport Systems
- Division of Civil, Mechanical and Manufacturing Innovation