scholarly journals Nuclear Magnetic Resonance of Nano-scale Quantum Materials Detected by Nitrogen Vacancy Ensembles in Diamond.

2020 ◽  
Author(s):  
Jacob Henshaw
2020 ◽  
Author(s):  
Jacob Henshaw ◽  
Pauli Kehayias ◽  
Maziar Saleh Ziabari ◽  
Tzu-Ming Lu ◽  
Sergei Ivanov ◽  
...  

2020 ◽  
Author(s):  
Jacob Henshaw ◽  
Pauli Kehayias ◽  
Maziar Saleh Ziabari ◽  
Tzu-Ming Lu ◽  
Sergei Ivanov ◽  
...  

2018 ◽  
Vol 37 (1) ◽  
pp. 412-428
Author(s):  
Feng Zhu ◽  
Wenxuan Hu ◽  
Jian Cao ◽  
Biao Liu ◽  
Yifeng Liu ◽  
...  

Nuclear magnetic resonance cryoporometry is a newly developed technique that can characterize the pore size distribution of nano-scale porous materials. To date, this technique has scarcely been used for the testing of unconventional oil and gas reservoirs; thus, their micro- and nano-scale pore structures must still be investigated. The selection of the probe material for this technique has a key impact on the quality of the measurement results during the testing of geological samples. In this paper, we present details on the nuclear magnetic resonance cryoporometric procedure. Several types of probe materials were compared during the nuclear testing of standard nano-scale porous materials and unconventional reservoir geological samples from Sichuan Basin, Southwest China. Gas sorption experiments were also carried out on the same samples simultaneously. The KGT values of the probe materials octamethylcyclotetrasiloxane and calcium chloride hexahydrate were calibrated using standard nano-scale porous materials to reveal respective values of 149.3 Knm and 184 Knm. Water did not successfully wet the pore surfaces of the standard controlled pore glass samples; moreover, water damaged the pore structures of the geological samples, which was confirmed during two freeze-melting tests. The complex phase transition during the melting of cyclohexane introduced a nuclear magnetic resonance signal in addition to that from liquid in the pores, which led to an imprecise characterization of the pore size distribution. Octamethylcyclotetrasiloxane and calcium chloride hexahydrate have been rarely employed as nuclear magnetic resonance cryoporometric probe materials for the testing of an unconventional reservoir. Both of these materials were able to characterize pore sizes up to 1 μm, and they were more applicable than either water or cyclohexane.


2021 ◽  
Author(s):  
Kristina Liu ◽  
Alex Henning ◽  
Markus W. Heindl ◽  
Robin Allert ◽  
Johannes D. Bartl ◽  
...  

Characterization of the molecular properties of surfaces under ambient or chemically reactive conditions isa fundamental scientific challenge. Moreover, many traditional analytical techniques used for probing surfaces often lack dynamic or molecular selectivity, which limits their applicability for mechanistic and kinetic studies under realistic chemical conditions. Nuclear magnetic resonance spectroscopy (NMR) is a widely used technique and would be ideal for probing interfaces due to the molecular information it provides noninvasively. However, it lacks the sensitivity to probe the small number of spins at surfaces. Here, we use nitrogen vacancy (NV) centers in diamond as quantum sensors to optically detect nuclear magnetic resonance signals fromchemically modified aluminum oxide surfaces, prepared with atomic layer deposition (ALD). With the surfaceNV-NMR technique, we are able to monitor in real-time the formation kinetics of a self assembled monolayer (SAM) based on phosphonate anchoring chemistry to the surface. This demonstrates the capability of quan-tum sensors as a new surface-sensitive tool with sub-monolayer sensitivity for in-situ NMR analysis with theadditional advantage of a strongly reduced technical complexity.


Science ◽  
2013 ◽  
Vol 339 (6119) ◽  
pp. 561-563 ◽  
Author(s):  
T. Staudacher ◽  
F. Shi ◽  
S. Pezzagna ◽  
J. Meijer ◽  
J. Du ◽  
...  

Application of nuclear magnetic resonance (NMR) spectroscopy to nanoscale samples has remained an elusive goal, achieved only with great experimental effort at subkelvin temperatures. We demonstrated detection of NMR signals from a (5-nanometer)3 voxel of various fluid and solid organic samples under ambient conditions. We used an atomic-size magnetic field sensor, a single nitrogen-vacancy defect center, embedded ~7 nanometers under the surface of a bulk diamond to record NMR spectra of various samples placed on the diamond surface. Its detection volume consisted of only 104 nuclear spins with a net magnetization of only 102 statistically polarized spins.


Science ◽  
2017 ◽  
Vol 357 (6346) ◽  
pp. 67-71 ◽  
Author(s):  
Nabeel Aslam ◽  
Matthias Pfender ◽  
Philipp Neumann ◽  
Rolf Reuter ◽  
Andrea Zappe ◽  
...  

Nuclear magnetic resonance (NMR) spectroscopy is a key analytical technique in chemistry, biology, and medicine. However, conventional NMR spectroscopy requires an at least nanoliter-sized sample volume to achieve sufficient signal. We combined the use of a quantum memory and high magnetic fields with a dedicated quantum sensor based on nitrogen vacancy centers in diamond to achieve chemical shift resolution in 1H and 19F NMR spectroscopy of 20-zeptoliter sample volumes. We demonstrate the application of NMR pulse sequences to achieve homonuclear decoupling and spin diffusion measurements. The best measured NMR linewidth of a liquid sample was ~1 part per million, mainly limited by molecular diffusion. To mitigate the influence of diffusion, we performed high-resolution solid-state NMR by applying homonuclear decoupling and achieved a 20-fold narrowing of the NMR linewidth.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Xi Kong ◽  
Leixin Zhou ◽  
Zhijie Li ◽  
Zhiping Yang ◽  
Bensheng Qiu ◽  
...  

Abstract Two-dimensional nuclear magnetic resonance (NMR) is indispensable to molecule structure determination. Nitrogen-vacancy center in diamond has been proposed and developed as an outstanding quantum sensor to realize NMR in nanoscale or even single molecule. However, like conventional multi-dimensional NMR, a more efficient data accumulation and processing method is necessary to realize applicable two-dimensional (2D) nanoscale NMR with a high spatial resolution nitrogen-vacancy sensor. Deep learning is an artificial algorithm, which mimics the network of neurons of human brain, has been demonstrated superb capability in pattern identifying and noise canceling. Here we report a method, combining deep learning and sparse matrix completion, to speed up 2D nanoscale NMR spectroscopy. The signal-to-noise ratio is enhanced by 5.7 ± 1.3 dB in 10% sampling coverage by an artificial intelligence protocol on 2D nanoscale NMR of a single nuclear spin cluster. The artificial intelligence algorithm enhanced 2D nanoscale NMR protocol intrinsically suppresses the observation noise and thus improves sensitivity.


2021 ◽  
Author(s):  
Kristina Liu ◽  
Alex Henning ◽  
Markus W. Heindl ◽  
Robin Allert ◽  
Johannes D. Bartl ◽  
...  

Characterization of the molecular properties of surfaces under ambient or chemically reactive conditions isa fundamental scientific challenge. Moreover, many traditional analytical techniques used for probing surfaces often lack dynamic or molecular selectivity, which limits their applicability for mechanistic and kinetic studies under realistic chemical conditions. Nuclear magnetic resonance spectroscopy (NMR) is a widely used technique and would be ideal for probing interfaces due to the molecular information it provides noninvasively. However, it lacks the sensitivity to probe the small number of spins at surfaces. Here, we use nitrogen vacancy (NV) centers in diamond as quantum sensors to optically detect nuclear magnetic resonance signals fromchemically modified aluminum oxide surfaces, prepared with atomic layer deposition (ALD). With the surfaceNV-NMR technique, we are able to monitor in real-time the formation kinetics of a self assembled monolayer (SAM) based on phosphonate anchoring chemistry to the surface. This demonstrates the capability of quan-tum sensors as a new surface-sensitive tool with sub-monolayer sensitivity for in-situ NMR analysis with theadditional advantage of a strongly reduced technical complexity.


2019 ◽  
Vol 5 (7) ◽  
pp. eaaw7895 ◽  
Author(s):  
Janis Smits ◽  
Joshua T. Damron ◽  
Pauli Kehayias ◽  
Andrew F. McDowell ◽  
Nazanin Mosavian ◽  
...  

Quantum sensors based on nitrogen-vacancy centers in diamond have emerged as a promising detection modality for nuclear magnetic resonance (NMR) spectroscopy owing to their micrometer-scale detection volume and noninductive-based detection. A remaining challenge is to realize sufficiently high spectral resolution and concentration sensitivity for multidimensional NMR analysis of picoliter sample volumes. Here, we address this challenge by spatially separating the polarization and detection phases of the experiment in a microfluidic platform. We realize a spectral resolution of 0.65 ± 0.05 Hz, an order-of-magnitude improvement over previous diamond NMR studies. We use the platform to perform two-dimensional correlation spectroscopy of liquid analytes within an effective ∼40-picoliter detection volume. The use of diamond quantum sensors as in-line microfluidic NMR detectors is a major step toward applications in mass-limited chemical analysis and single-cell biology.


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