Lipid peroxidation in diamond supported bilayers

The nitrogen‐vacancy (NV) center in diamond is a powerful and versatile quantum sensor for diverse quantities. In particular, relaxometry (or T1), can be used to detect magnetic noise at the nanoscale. For experiments with single NV centers the analysis of the data is well established. However, due to relatively low brightness and reproducibility it is beneficial for biological experiments to use ensembles. While increasing the number of NV centers in a nanodiamond leads to more signal, a standardized method to extract information from relaxometry experiments is still missing. This article uses T1 relaxation curves acquired at different concentrations of gadolinium ions to calibrate and optimize the entire data processing flow, from the acquired raw data to the extracted T1. In particular, a bootstrap is used to derive a signal to noise ratio (SNR) that can be quantitatively compared from one method to another. At first, T1 curves are extracted from photoluminescence pulses. This work compares integrating their signal through an optimized window as performed conventionally, to fitting a known function on it. Fitting the decaying T1 curves leads to the relevant T1 value. This work compares here the three most commonly used fit models that are, single, bi, and stretched exponential. This work finally investigates the effect of the bootstrap itself on the precision of the result as well as the use of a rolling window to increase time resolution.

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Optimizing Data Processing for Nanodiamond Based Relaxometry

Vedelaar

Hamoh

Martínez

et al. 2023

Adv Quantum Tech

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Diamond Surfaces with Lateral Gradients for Systematic Optimization of Surface Chemistry for Relaxometry – a Low-Pressure Plasma-Based Approach

Tian,

Ortiz Moreno,

Chipaux

et al. 2024

Langmuir

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Diamond is increasingly popular because of its unique material properties. Diamond defects called nitrogen vacancy (NV) centers allow for measurements with unprecedented sensitivity. However, to achieve ideal sensing performance, NV centers need to be within nanometers from the surface and are thus strongly dependent on the local surface chemistry. Several attempts have been made to compare diamond surfaces. However, due to the high price of diamond crystals with shallow NV centers, a limited number of chemical modifications have been studied. Here, we developed a systematic method to investigate the continuity of different local environments with varying densities and natures of surface groups in a single experiment on a single diamond plate. To achieve this goal, we used diamonds with a shallow ensemble of NV centers and introduced a chemical gradient across the surface. More specifically, we used air and hydrogen plasma. The gradients were formed by a low-pressure plasma treatment after masking with a rightangled triangular prism shield. As a result, the surface contained gradually more oxygen/ hydrogen toward the open end of the shield. We then performed wide-field relaxometry to determine the effect of surface chemistry on the sensing performance. As expected, relaxation times and thus sensing performance indeed vary along the gradient.

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Lipid peroxidation in diamond supported bilayers

Abstract: Lipid peroxidation is a process that occurs in cells when they are exposed to oxidative stress. During the process reactive oxygen species attack lipids within the lipid bilayers of cells....

Cited by 2 publications

References 32 publications

Optimizing Data Processing for Nanodiamond Based Relaxometry

Optimizing Data Processing for Nanodiamond Based Relaxometry

Diamond Surfaces with Lateral Gradients for Systematic Optimization of Surface Chemistry for Relaxometry – a Low-Pressure Plasma-Based Approach

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