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A colorimetric sandwich-type bioassay for SARS-CoV-2 using a hACE2-based affinity peptide pair
1State Key Joint Laboratory of ESPC, Research Centre of Environmental and Health Sensing Technology, School of Environment, Tsinghua University, Beijing 100084, China.
Journal of Hazardous Materials
|December 15, 2021
Summary
Researchers developed a rapid, sensitive colorimetric bioassay using human ACE2-based peptides to detect SARS-CoV-2 spike protein. This method offers a novel approach for environmental virus detection.
Area of Science:
- Biochemistry
- Nanotechnology
- Virology
Background:
- Angiotensin-converting enzyme 2 (ACE2) is crucial for SARS-CoV-2 entry by binding the viral spike protein receptor-binding domain (S_RBD).
- Developing rapid and sensitive detection methods for SARS-CoV-2 is essential for environmental monitoring and public health.
Purpose of the Study:
- To engineer novel human ACE2-based peptides that specifically bind the SARS-CoV-2 S_RBD.
- To develop a sensitive and rapid colorimetric bioassay for detecting SARS-CoV-2 S_RBD in environmental samples.
Main Methods:
- In silico simulations were used to design 12-mer and 15-mer peptide pairs targeting the S_RBD.
- Bio-layer interferometry validated peptide-S_RBD interactions with nanomolar affinity.
- A colorimetric sandwich bioassay was created using peptide-modified gold nanoparticles for S_RBD detection.
Main Results:
- The designed peptides demonstrated specific binding to the SARS-CoV-2 S_RBD at nanomolar affinity.
- The colorimetric bioassay detected S_RBD protein with high sensitivity (0.01 nM) in under 30 minutes.
- Linear detection of virus copies (105–107 copies/mL) was achieved in spiked environmental water samples.
Conclusions:
- The developed peptide-based colorimetric bioassay provides a fast, simple, and sensitive method for SARS-CoV-2 detection.
- This technology can supplement existing nucleic acid detection methods for environmental surveillance and wastewater treatment.
Keywords:
Affinity peptide pairColorimetric biosensingEnvironmental samplesMolecular dynamics simulationSARS-CoV-2
