Abstract
Electron–nuclear double resonance (ENDOR) is a powerful tool for determining the spatial and electronic structure of paramagnetic systems. It often suffers from a limited signal-to-noise ratio (SNR), particularly for small hyperfine couplings, which correspond to long-range electron–nuclear distances. We implement a Hadamard frequency multiplexing strategy to enhance the sensitivity in frequency-domain ENDOR spectroscopy. This method makes use of simultaneous or sequential excitation of multiple nuclear frequencies within a single pulse sequence, with spectral reconstruction via a Hadamard transform. Using fluorine ENDOR of fluorinated small molecules and spin-labeled proteins, we demonstrate up to 2-fold improvement in SNR. Approaches that mitigate the limitations of radiofrequency power and relaxation effects are presented, making this strategy useful for both organic radicals and paramagnetic metal complexes. Beyond ENDOR, Hadamard encoded acquisition also improves electron double resonance detected NMR sensitivity, suggesting broad applicability across EPR methods that rely on frequency sweeps.
| Original language | English |
|---|---|
| Pages (from-to) | 12610-12618 |
| Number of pages | 9 |
| Journal | Journal of Physical Chemistry Letters |
| Volume | 16 |
| Issue number | 49 |
| Early online date | 1 Dec 2025 |
| DOIs | |
| Publication status | Published - 11 Dec 2025 |
Funding
This work was funded by the National Science Foundation USA-Israel Science Foundation program through BSF 2021617 (to DG) and NSF-MCB 2116534 (to AMG), NSF grant CHE 1708773 (to AMG), as well as the National Natural Science Foundation of China 21871210 to (to YPL) and made possible, in part, by support from the Helen and Martin Kimmel Institute for Magnetic Resonance Research, the Clore Institute for High-Field Magnetic Resonance Imaging and Spectroscopy, and due to the historic generosity of the Harold Perlman Family (DG). The authors are indebted to Prof. Lucio Frydman for drawing our attention to the possibility of Hadamard-encoded acquisition in EPR and inspiring discussions thereof.
All Science Journal Classification (ASJC) codes
- General Materials Science
- Physical and Theoretical Chemistry
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