研究目的
To demonstrate an integrated and miniaturised magnetic field sensor based on nitrogen-vacancy centres in diamond for industrial sensing applications.
研究成果
The compact integrated magnetometer achieves a sensitivity of ≈31 nT/√Hz with a photon shot-noise limit of ≈3 nT/√Hz. It is suitable for portable applications due to its small size and low power consumption. Future improvements could involve increasing optical and microwave power, using laser-based systems for better performance, and reducing heating effects.
研究不足
The sensor's sensitivity is limited by the sampling card noise for integration times >1 μs, and heating from the LED affects performance. Optical and microwave power levels were not optimized, and higher powers could improve contrast and sensitivity. The device requires external microwave generation and control.
1:Experimental Design and Method Selection:
The sensor was designed with a multilayer assembly including a LED for optical excitation, a diamond sample with NV- centres, a microwave transmission circuit, optical components for fluorescence collection, and a photodetector. ODMR measurements were used to detect magnetic resonance.
2:Sample Selection and Data Sources:
A (111) diamond plate of
3:8x8x5 mm3 with [NV-] ~ 4 ppm and [P1] ~ 0 ppm after electron irradiation and annealing was used. List of Experimental Equipment and Materials:
LED (Cree C527EZ500), photodiode (Hamamatsu S1226-5BQ), GRIN lens (GRINTECH GT-LFRL-180-025-50-NC), microwave source (Anritsu MG3692A), ADC (National Instruments NI PXI-5122), DBR filters, PCBs, 3D-printed spacers, PDMS.
4:Experimental Procedures and Operational Workflow:
The device was assembled with components stacked from bottom to top. ODMR spectra were recorded by varying MW frequency and integrating photodetector signal for 70 ms per frequency, with reference measurements without MW.
5:Data Analysis Methods:
Data were analyzed using Lorentzian fits for linewidth and contrast, Allan deviation for noise analysis, and equations for sensitivity calculations.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容