journal article·2025-02-28

Optically Detected Magnetic Resonance of Fluorescent Nanodiamonds Separated in Microdroplets: Implications for Sensing Electromagnetic Fields, Temperatures, and Chemical Potential

Ming’ao Xie, Jintao Zhang, Xiaojuan Feng, Li Xing

ACS Applied Nano Materials· Volume 8· Issue 8
Publisher page

Abstract

Fluorescence nanodiamonds (FNDs) containing negatively charged nitrogen vacancy (NV – ) centers promise sensors for electromagnetic fields, temperatures, and chemical potential in sub-micro- and nanoscales. Nevertheless, handling separative FND particles for such an objective is quite challenging. We report in this paper an approach to separate FNDs into trapped microdroplets for optically detected magnetic resonance (ODMR). We form microscale aqueous droplets on a droplet-based microfluidic chip for separating and trapping FNDs. We estimate the average encapsulated FND population through the proportion of FND-containing droplets in the total generated droplets. These droplets are separately trapped in 80 × 80 μm 2 trap cells. We developed a home-built detection system for exciting fluorescence and detecting ODMR for FND particles entrapped in an individual droplet. To the best of our knowledge, this work is the first for the ODMR detection of FNDs trapped in separative microdroplets. In this initiative study, we obtain ODMR spectra of the contrast of 0.07 to 0.15%. The zero-field splitting (ZFS) of the electron spin triplet of the nano NV ensemble is extracted from the ODMR spectra with the standard deviations among 0.2–0.5 MHz. The technique we develop here presents a potential platform separating FNDs in microdroplets for single-particle analysis, delivery, and traceable measurements of electromagnetic fields, temperatures, and chemical potentials.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Diamond and Carbon-based Materials Research · Carbon Nanotubes in Composites · Analytical chemistry methods development

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Precision Instrument

Tsinghua University

National Institute of Metrology

Funding

Fundamental Research Program of the National Institute of Metrology

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