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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...

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Author Spotlight: High-Quality Quantum Dot Nanobeads for Sensitive Fluorescent Lateral Flow Immunoassays

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SARS-CoV-2 Quantum Sensor Based on Nitrogen-Vacancy Centers in Diamond.

Changhao Li¹, Rouhollah Soleyman², Mohammad Kohandel²

¹Research Laboratory of Electronics and Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.

|December 16, 2021

Summary

A novel quantum sensor using nitrogen-vacancy centers detects SARS-CoV-2 RNA with high sensitivity and a low false negative rate. This rapid diagnostic tool offers a promising advancement for COVID-19 pandemic management.

Keywords:

COVID19 pandemic Nanodiamond Nitrogen-vacancy center Virus diagnosis

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Area of Science:

Quantum Sensing
Nanotechnology
Molecular Diagnostics

Background:

The COVID-19 pandemic necessitates highly sensitive and rapid diagnostic tools for SARS-CoV-2.
Quantum sensors offer superior sensitivity and rapid advancements for biosensing applications.

Purpose of the Study:

To propose and evaluate a novel molecular transducer for nitrogen-vacancy (NV) centers in nanodiamonds.
To translate the presence of SARS-CoV-2 RNA into a detectable magnetic noise signal.

Main Methods:

Development of a hybrid quantum sensor utilizing NV centers in nanodiamonds.
Optical readout of magnetic noise signals generated by the molecular transducer.
Performance evaluation including sensitivity and false negative rate.

Main Results:

The proposed sensor demonstrates high sensitivity, detecting down to a few hundred RNA copies.
Achieved a false negative rate of less than 1%.
The method is rapid and offers a promising alternative to current diagnostic techniques.

Conclusions:

The developed quantum sensor provides a sensitive and rapid method for SARS-CoV-2 detection.
The technology is adaptable for other RNA viruses and can be integrated with CRISPR.
This advancement holds potential for improved pandemic response and diagnostics.