Chinese Journal of Magnetic Resonance >
Resolving Crowded NMR Spectra Based on Longitudinal Multi-spin Order and Hadamard Encoding
Received date: 2025-08-15
Online published: 2025-10-11
One-dimensional proton nuclear magnetic resonance (NMR) spectroscopy is a high-resolution, non-invasive technique widely used for structure elucidation and composition analysis. However, when applied to complex systems, its effectiveness is often hampered by overlapping peaks from similar chemical shifts and J-coupling, along with concentration variations obscuring weak signals from low-abundance compounds. To enhance the detection sensitivity for weak signals in crowded spectral regions, this work proposes Hadamard-DQF-LMO, integrating longitudinal multi-spin orders (LMOs), Hadamard encoding, and double quantum filtering (DQF). The approach utilizes DQF to selectively detect LMO signals while suppressing strong interference. The incorporation of polychromatic transition pulses and Hadamard-encoded 180° pulses enables parallel acquisition of multiple frequencies, which significantly improves both sensitivity and detection efficiency. Experiments on orange juice and mixed amino acid samples demonstrate peak separation with enhanced selectivity and signal-to-noise ratio (SNR), offering a novel and effective strategy for the NMR analysis of complex systems.
LI Xueting , LIANG Wei , ZHANG Xintong , CUI Mengqi , LIN Yulan . Resolving Crowded NMR Spectra Based on Longitudinal Multi-spin Order and Hadamard Encoding[J]. Chinese Journal of Magnetic Resonance, 2026 , 43(2) : 125 -135 . DOI: 10.11938/cjmr20253179
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