Chinese Journal of Magnetic Resonance ›› 2026, Vol. 43 ›› Issue (2): 125-135.doi: 10.11938/cjmr20253179cstr: 32225.14.cjmr20253179

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Resolving Crowded NMR Spectra Based on Longitudinal Multi-spin Order and Hadamard Encoding

LI Xueting, LIANG Wei, ZHANG Xintong, CUI Mengqi, LIN Yulan*()   

  1. Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China
  • Received:2025-08-15 Published:2026-06-05 Online:2025-10-11
  • Contact: LIN Yulan E-mail:yulan.lin@xmu.edu.cn

Abstract:

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.

Key words: MRS, Hadamard encoding, longitudinal multi-spin orders, double quantum coherence

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