Journal
ACS NANO
Volume 15, Issue 8, Pages 13742-13758Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.1c05226
Keywords
hyperspectral imaging; SARS-CoV-2; antisense oligonucleotides; hafnium; dark-field microscopy
Categories
Funding
- National Institute of Biomedical Imaging and Bioengineering (NIBIB) [R03EB028026]
- University of Maryland Baltimore
- University of Maryland Baltimore County
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A ultrasensitive hyperspectral sensor called HyperSENSE based on hafnium nanoparticles has been developed for specific detection of SARS-CoV-2, showing high sensitivity and specificity. The sensor can rapidly detect presymptomatic and asymptomatic COVID-19 cases, and potentially be applied to emerging infectious pathogens.
Efficient monitoring of SARS-CoV-2 outbreak requires the use of a sensitive and rapid diagnostic test. Although SARS-CoV-2 RNA can be detected by RT-qPCR, the molecular- level quantification of the viral load is still challenging, time-consuming, and labor-intensive. Here, we report an ultrasensitive hyperspectral sensor (HyperSENSE) based on hafnium nanoparticles (HfNPs) for specific detection of COVID-19 causative virus, SARS-CoV-2. Density functional theoretical calculations reveal that HfNPs exhibit higher changes in their absorption wavelength and light scattering when bound to their target SARS-CoV-2 RNA sequence relative to the gold nanoparticles. The assay has a turnaround time of a few seconds and has a limit of detection in the yoctomolar range, which is 1 000 000-fold times higher than the currently available COVID-19 tests. We demonstrated in similar to 100 COVID-19 clinical samples that the assay is highly sensitive and has a specificity of 100%. We also show that HyperSENSE can rapidly detect other viruses such as influenza A H1N1. The outstanding sensitivity indicates the potential of the current biosensor in detecting the prevailing presymptomatic and asymptomatic COVID-19 cases. Thus, integrating hyperspectral imaging with nanomaterials establishes a diagnostic platform for ultrasensitive detection of COVID-19 that can potentially be applied to any emerging infectious pathogen.
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