Volume 8 Issue 5
Oct.  2023
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Article Navigation >  Green Energy&Environment  > 2023  >  8(5): 1409-1416
Qi Zhao, Christian Marcus Pedersen, Jiamin Wang, Rui Liu, Yuanli Zhang, Xiuyin Yan, Zhenzhou Zhang, Xianglin Hou, Yingxiong Wang. NMR diffusion analysis of catalytic conversion mixtures from lignocellulose biomass using PSYCHE-iDOSY. Green Energy&Environment, 2023, 8(5): 1409-1416. doi: 10.1016/j.gee.2022.02.003
Citation: Qi Zhao, Christian Marcus Pedersen, Jiamin Wang, Rui Liu, Yuanli Zhang, Xiuyin Yan, Zhenzhou Zhang, Xianglin Hou, Yingxiong Wang. NMR diffusion analysis of catalytic conversion mixtures from lignocellulose biomass using PSYCHE-iDOSY. Green Energy&Environment, 2023, 8(5): 1409-1416. doi: 10.1016/j.gee.2022.02.003
shu

NMR diffusion analysis of catalytic conversion mixtures from lignocellulose biomass using PSYCHE-iDOSY

doi: 10.1016/j.gee.2022.02.003

  • a. Shanxi Engineering Research Center of Biorefinery, Institute of Coal Chemistry, Chinese Academy of Sciences, 27 South Taoyuan Road, Taiyuan, 030001, China;

  • b. Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China;

  • c. Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100, Copenhagen, Denmark;

  • d. School of Chemical Engineering, Zhengzhou University Zhengzhou, 450001, China;

  • e. Shanxi Inspection and Testing Center, 106 Changzhi Road, Taiyuan, 030012, China

Funds:

The authors thank for National Natural Science Foundation of China (22075308) for financial support.

  • Received date 09 November 2021, Accepted date 07 February 2022, RevRecd date 25 January 2022, Publish date 14 February 2022,
    Abstract
  • The component analysis and structure characterization of complex mixtures of biomass conversion remain a challenging work. Hence, developing effective and easy to use techniques is necessary. Diffusion-ordered NMR spectroscopy (DOSY) is a non-selective and non-invasive method capable of achieving pseudo-separation and structure assignments of individual compounds from biomass mixtures by providing diffusion coefficients (D) of the components. However, the conventional 1H DOSY NMR is limited by crowded resonances when analyzing complex mixtures containing similar chemical structure resulting in similar coefficient. Herein we describe the application of an advanced diffusion NMR method, Pure Shift Yielded by CHirp Excitation DOSY (PSYCHE-iDOSY), which can record high-resolution signal diffusion spectra efficiently separating compounds in model and genuine mixture samples from cellulose, hemicellulose and lignin. Complicated sets of isomers (d-glucose/d-fructose/d-mannose and 1,2-/1,5-pentadiol), homologous compounds (ethylene glycol and 1,2-propylene glycol), model compounds of lignin, and a genuine reaction system (furfuryl alcohol hydrogenolysis with ring opening) were successfully separated in the diffusion dimension. The results show that the ultrahigh-resolution DOSY technique is capable of detecting and pseudo-separating the mixture components of C5/C6 sugar conversion products and its derivative hydrogenation/hydrogenolysis from lignocellulose biomass.

     

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