Method for in-solution, high-throughput T1 relaxometry using fluorescent
nanodiamonds
- URL: http://arxiv.org/abs/2211.14959v1
- Date: Sun, 27 Nov 2022 22:52:14 GMT
- Title: Method for in-solution, high-throughput T1 relaxometry using fluorescent
nanodiamonds
- Authors: Erin. S. Grant, Mina Barzegar Amiri Olia, Ella. P. Walsh, Liam T.
Hall, Gawain McColl, David A. Simpson
- Abstract summary: We have developed a measurement platform that can report the T1 spin relaxation time from a large ensemble of FNDs in solution.
Our approach is simple to set up, robust and can be used for rapid material characterisation or a variety of in-situ quantum sensing applications.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Fluorescent nanodiamonds (FNDs) have been exploited as sensitive quantum
probes for nanoscale chemical and biological sensing applications, with the
majority of demonstrations to date relying on the detection of single FNDs.
This places significant limits on the measurement time, throughput and
statistical significance of a measured result as there is usually marked
inhomogeneity within FND samples. Here we have developed a measurement platform
that can report the T1 spin relaxation time from a large ensemble of FNDs in
solution. We first describe a refined sensing protocol for this modality and
then use it to identify the optimal FND size for the detection of paramagnetic
targets. Our approach is simple to set up, robust and can be used for rapid
material characterisation or a variety of in-situ quantum sensing applications.
Related papers
- Optically-Sampled Superconducting-Nanostrip Photon-Number Resolving Detector for Non-Classical Quantum State Generation [0.0]
Photon number-resolving detectors (PNRDs) are the ultimate optical sensors.
Superconducting-nanostrip photon detectors (SNSPDs) have been found to have photon number resolving capability without multiplexing.
arXiv Detail & Related papers (2024-05-11T04:15:20Z) - Optically-Trapped Nanodiamond-Relaxometry Detection of Nanomolar
Paramagnetic Spins in Aqueous Environments [2.246214491914363]
Nitrogen-Vacancy center in fluorescent nanodiamonds (FNDs) has emerged as a good candidate to sense temperature, pH, and paramagnetic species at the nanoscale.
We show that optically-trapped FNDs enable highly reproducible nanomolar sensitivity to the paramagnetic ion.
arXiv Detail & Related papers (2024-01-30T19:00:56Z) - Design and simulation of a transmon qubit chip for Axion detection [103.69390312201169]
Device based on superconducting qubits has been successfully applied in detecting few-GHz single photons via Quantum Non-Demolition measurement (QND)
In this study, we present Qub-IT's status towards the realization of its first superconducting qubit device.
arXiv Detail & Related papers (2023-10-08T17:11:42Z) - Optimal Sensing Protocol for Statistically Polarized Nano-NMR with NV
Centers [4.866254682673853]
We show that phase sensitive protocols are superior in most experimental scenarios.
We present the most accurate statistically polarized nano-NMR Qdyne detection experiments to date.
arXiv Detail & Related papers (2023-05-24T08:32:28Z) - All-Optical Nuclear Quantum Sensing using Nitrogen-Vacancy Centers in
Diamond [52.77024349608834]
Microwave or radio-frequency driving poses a significant limitation for miniaturization, energy-efficiency and non-invasiveness of quantum sensors.
We overcome this limitation by demonstrating a purely optical approach to coherent quantum sensing.
Our results pave the way for highly compact quantum sensors to be employed for magnetometry or gyroscopy applications.
arXiv Detail & Related papers (2022-12-14T08:34:11Z) - Optimising data processing for nanodiamond based relaxometry [0.0]
The nitrogen-vacancy center in diamond is a powerful and versatile quantum sensor for diverse quantities.
In this article, we use T1 relaxation curves acquired at different concentrations of gadolinium ions to calibrate and optimize the entire data processing flow.
arXiv Detail & Related papers (2022-11-14T10:58:07Z) - Toward deep-learning-assisted spectrally-resolved imaging of magnetic
noise [52.77024349608834]
We implement a deep neural network to efficiently reconstruct the spectral density of the underlying fluctuating magnetic field.
These results create opportunities for the application of machine-learning methods to color-center-based nanoscale sensing and imaging.
arXiv Detail & Related papers (2022-08-01T19:18:26Z) - Simultaneous boundary shape estimation and velocity field de-noising in
Magnetic Resonance Velocimetry using Physics-informed Neural Networks [70.7321040534471]
Magnetic resonance velocimetry (MRV) is a non-invasive technique widely used in medicine and engineering to measure the velocity field of a fluid.
Previous studies have required the shape of the boundary (for example, a blood vessel) to be known a priori.
We present a physics-informed neural network that instead uses the noisy MRV data alone to infer the most likely boundary shape and de-noised velocity field.
arXiv Detail & Related papers (2021-07-16T12:56:09Z) - Improving the Precision of Optical Metrology by Detecting Fewer Photons [22.469758054077396]
In optical metrological protocols to measure physical quantities, it is always beneficial to increase photon number to improve measurement precision.
We show that a modified weak measurement protocol, namely, biased weak measurement significantly improves the precision of optical metrology in the presence of saturation effect.
arXiv Detail & Related papers (2021-03-23T08:14:45Z) - Real-time estimation of the optically detected magnetic resonance shift
in diamond quantum thermometry [47.50219326456544]
We investigate the real-time estimation protocols for the frequency shift of optically detected magnetic resonance (ODMR) of nitrogen-vacancy centers in nanodiamonds (NDs)
Efficiently integrating multipoint ODMR measurements and ND particle tracking into fluorescence microscopy has recently demonstrated stable monitoring of the temperature inside living animals.
arXiv Detail & Related papers (2020-06-12T01:44:35Z) - Quantum metamaterial for nondestructive microwave photon counting [52.77024349608834]
We introduce a single-photon detector design operating in the microwave domain based on a weakly nonlinear metamaterial.
We show that the single-photon detection fidelity increases with the length of the metamaterial to approach one at experimentally realistic lengths.
In stark contrast to conventional photon detectors operating in the optical domain, the photon is not destroyed by the detection and the photon wavepacket is minimally disturbed.
arXiv Detail & Related papers (2020-05-13T18:00:03Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.