Single-spin electron paramagnetic resonance spectrum with kilohertz spectral resolution

Single-spin electron paramagnetic resonance spectrum with kilohertz spectral resolution
The comparison of the paramagnetic resonance spectrum between the traditional method (top) and the new method (bottom) of noise-insensitive. It clearly shows that the spectral resolution has been significantly improved, and more precise coupling information has been observed. Credit: DU Jiangfeng et al.

A high-resolution paramagnetic resonance detection method based on the diamond nitrogen-vacancy (NV) color center quantum sensor was proposed and experimentally implemented in a study led by academician DU Jiangfeng from CAS Key Laboratory of Microscale Magnetic Resonance of University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS).

The researchers obtained the single-spin paramagnetic resonance spectrum with kilohertz (kHz) spectral resolution. The study was published in Science Advances.

A major development trend of electron paramagnetic resonance spectroscopy is to get as as possible from as few samples as possible, which requires enhancing both and spectral resolution. In recent decades, the spatial resolution has been improved considerably, and the detection of single-spin paramagnetic resonance even reached to the nanoscale due to the emergence of new detection technology. However, the spectral resolution remains in the megahertz (MHz) scale because of uncontrollable external noise. Therefore, a new method has to be found in order to break through the current limitation of spectral resolution caused by noise.

One more direct and effective way is to make the measured spin naturally insensitive to external noise. A certain kind of spin states can resist the disturbance of external magnetic field noise, and the spectral lines generated by electron when transiting between these spin states will be narrowed. It has been reported that this phenomenon also exists for a kind of paramagnetic material under zero magnetic field in previous research. However, the detection sensitivity of traditional paramagnetic resonance technology is related to the magnitude of , and the detection efficiency in zero field is extremely low, which limits the practical application.

Therefore, the researchers used NV color center quantum sensor in diamond to detect paramagnetic resonance. Previous work has proved that the NV color center still has single-spin level detection sensitivity even at zero field.

In order to observe the narrowing of the and realize high-resolution spectroscopy detection, it is also necessary to eliminate the broadening of the spectral line caused by the NV sensor itself. Inspired by the correlation detection in nuclear magnetic resonance (NMR), DU's team designed a paramagnetic resonance correlation sequence suitable for zero field, which greatly suppressed the intrinsic broadening of NV .

Using this new method, they successfully detected the narrowing transition of the electron spin of a single nitrogen atom in diamond in their experiment. Compared with the traditional method, the spectral has been improved considerably by 27 times, reaching 8.6 kHz.

This experimental results showed that the paramagnetic technology based on NV quantum sensor can achieve both high spatial and high . At the same time, this method is not limited by harsh environmental conditions (such as vacuum or low temperature), which is very competitive in biological applications. More detailed information of structural, dynamic changes and local environmental characteristics of a single molecule can be analyzed.

More information: Fei Kong et al, Kilohertz electron paramagnetic resonance spectroscopy of single nitrogen centers at zero magnetic field, Science Advances (2020). DOI: 10.1126/sciadv.aaz8244

Journal information: Science Advances

Provided by University of Science and Technology of China

Citation: Single-spin electron paramagnetic resonance spectrum with kilohertz spectral resolution (2020, June 19) retrieved 24 July 2024 from
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