4542
Diffusion-Ordered NMR Spectroscopy Reconstruction Based on Low-rank and Sparse Inverse Laplace Transform
Enping Lin1, Yu Yang1, Yuqing Huang1, and Zhong Chen1
1Department of Electronic Science, Xiamen University, Xiamen, China
We point out that desired DOSY data should have joint properties of low-rank and sparsity, based on which the optimization model is proposed to attain high-resolution DOSY reconstruction.
Figure 1 The data proccessing flow diagram of DOSY
Figure 2. Reconstructed spectrum for experimental data QGC consisting of quinine (100MmM/L), geraniol (100mMMm/L), camphene (200 mMMm/L) dissolved in deuterated methanol (a) mono-exponential fitting, (b) SILT, and (c) our method named LRSpILT. Areas marked by red rectangular are with overlapping peaks. Artefacts in (b) and (c) are marked with black arrow. Highlighted areas are projected onto the diffusion coefficient dimension, and shown in Figure 4. The center diffusion coefficient values of components are marked with dashed lines.