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Optimization of Wide-Field ODMR Measurements Using Fluorescent Nanodiamonds to Improve Temperature Determination Accuracy

MetadataDetails
Publication Date2020-11-18
JournalNanomaterials
AuthorsTamami Yanagi, Kiichi Kaminaga, Wataru Kada, Osamu Hanaizumi, Ryuji Igarashi
InstitutionsJapan Science and Technology Agency, Gunma University
Citations9
AnalysisFull AI Review Included

This research focuses on optimizing Optically Detected Magnetic Resonance (ODMR) measurements using fluorescent nanodiamonds (FNDs) to achieve highly accurate, wide-field temperature mapping in microenvironments.

  • Core Achievement: Demonstrated a method for highly accurate wide-field temperature imaging over a 210 x 210 ”m area, suitable for monitoring multicellular systems.
  • Optimization Strategy: A Monte Carlo simulation was performed to identify the optimal microwave frequency sweep range for fitting the ODMR spectrum with two Lorentzian functions.
  • Key Finding (Sweep Range): The optimal sweep range was determined to be 2860-2880 MHz, which is narrower than typical ranges (e.g., 2850-2890 MHz).
  • Performance Improvement: This optimized sweep range improved the temperature determination accuracy by a factor of approximately 1.5x.
  • Achieved Accuracy: Temperature determination accuracy reached 1 K/Hz1/2 or higher in the wide-field setup.
  • Biological Relevance: The method enables monitoring of tissue homeostasis, differentiation in multicellular systems, and organelle-level mesoscopic temperatures (e.g., mitochondria).
ParameterValueUnitContext
Optimal ODMR Sweep Range2860-2880MHzDetermined via Monte Carlo simulation for highest accuracy
Accuracy Improvement Factor~1.5FactorImprovement over the 2850-2890 MHz sweep range
Achieved Temperature Accuracy1K/Hz1/2Highest accuracy obtained in wide-field imaging
Wide-Field Imaging Area210 x 210”mArea measured simultaneously
NV Center Axial Anisotropy (D)2869.34 ± 1.31MHzMean value derived from 200 bright spots
NV Center Rhombic Anisotropy (E)4.21 ± 0.31MHzMean value derived from 200 bright spots
Temperature Dependence of D77kHz/KProportional constant due to thermal expansion
Excitation Wavelength532nmGreen laser source
Excitation Power Density~1kW/cm2Used for fluorescence imaging
Microwave Output Power< 700mWApplied via 1.5-turn copper coil
FND Particle Size Range50-100nmParticle size distribution of fluorescent nanodiamonds
NV Centers per Particle (Average)40CentersConcentration in the FNDs used
Temperature Stability (Ambient)± 0.1KChange restricted during 2 min measurements

The methodology involved the preparation of fluorescent nanodiamonds (FNDs), Monte Carlo simulation for optimization, and wide-field ODMR measurement validation.

  • Starting Material: Nanodiamond powder (Micron + MDA 0-0.10 ”m).
  • NV Center Creation:
    • Electron irradiation (2 MeV, 1.0 x 1018 e-/cm2).
    • Thermal annealing at 800 °C for 2 h under vacuum.
  • Surface Treatment:
    • Oxidation at 550 °C for 2 h to remove surface graphite.
    • Acid treatment using H2SO4:HNO3 (9:1 v/v) at 70 °C for 3 days to obtain negatively charged NV centers.
  • Cleaning: Treated with 0.1 M NaOH (90 °C, 2 h) and 0.1 M HCl (90 °C, 2 h), followed by three Milli-Q washes.
  • Excitation: 532 nm green laser (1000 mW) focused to ~1 kW/cm2 power density.
  • Detection: Fluorescence collected using a 20x dry objective (NA 0.75) and detected by an electron-multiplying CCD (EMCCD) camera.
  • Microwave Application: Microwaves generated by a signal generator (N5172B), amplified, and applied via a 1.5-turn copper coil (1 mm diameter).
  • Temperature Control: Ambient temperature around the setup was controlled and stabilized (± 0.1 K fluctuation over 2 min) to avoid periodic fluctuations from feedback regulation.
  • Model Parameters: ODMR frequency spectra were obtained from 200 FND bright spots to establish mean values for the model curve parameters (D, E, a1, a2, and Îł).
  • Monte Carlo Simulation: Simulated 50 points of digital sweep data, adding Gaussian noise (0-20% of signal strength), and performed curve fitting using two Lorentzian functions to determine the optimal sweep range.
  • Optimal Range Application: ODMR spectra were acquired using a 100-point digital sweep (2 s total time) to compare the performance of the optimized 2860-2880 MHz range against the broader 2850-2890 MHz range.
  • Accuracy Evaluation: Temperature determination stability was calculated from the standard deviation of the determined D values (Dobs) over 100 consecutive measurements (1 s sweep time).

This optimized wide-field thermometry technique is critical for advancing quantitative measurements in biological and materials science fields requiring high spatial and temporal resolution.

  • Cell Biology and Medicine:
    • Intracellular Thermometry: Quantitative measurement of mesoscale temperature distributions within cells and organelles (e.g., mitochondria).
    • Tissue Homeostasis Monitoring: Wide-field monitoring of temperature dynamics in multicellular systems and tissues, relevant to understanding canceration and aging.
    • Differentiation Studies: High-throughput image cytometry for monitoring the differentiation of large numbers of stem cells based on intracellular temperature changes.
  • Quantum Sensing and Metrology:
    • Nanometer-Scale Sensors: Development of robust, highly accurate nanoprobes for temperature sensing in complex chemical and physical microenvironments.
  • Drug Discovery and Screening:
    • High-throughput screening of drug candidates by monitoring their effect on cellular thermogenesis and metabolic activity.
View Original Abstract

Fluorescent nanodiamonds containing nitrogen-vacancy centers have attracted attention as nanoprobes for temperature measurements in microenvironments, potentially enabling the measurement of intracellular temperature distributions and temporal changes. However, to date, the time resolution and accuracy of the temperature determinations using fluorescent nanodiamonds have been insufficient for wide-field fluorescence imaging. Here, we describe a method for highly accurate wide-field temperature imaging using fluorescent nanodiamonds for optically detected magnetic resonance (ODMR) measurements. We performed a Monte Carlo simulation to determine the optimal frequency sweep range for ODMR temperature determination. We then applied this sweep range to fluorescent nanodiamonds. As a result, the temperature determination accuracies were improved by a factor ~1.5. Our result paves the way for the contribution of quantum sensors to cell biology for understanding, for example, differentiation in multicellular systems.

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