Qi Zhao , Christian Marcus Pedersen , Jiamin Wang , Rui Liu , Yuanli Zhang , Xiuyin Yan , Zhenzhou Zhang , Xianglin Hou , Yingxiong Wang
{"title":"NMR diffusion analysis of catalytic conversion mixtures from lignocellulose biomass using PSYCHE-iDOSY","authors":"Qi Zhao , Christian Marcus Pedersen , Jiamin Wang , Rui Liu , Yuanli Zhang , Xiuyin Yan , Zhenzhou Zhang , Xianglin Hou , Yingxiong Wang","doi":"10.1016/j.gee.2022.02.003","DOIUrl":null,"url":null,"abstract":"<div><p>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 (<em>D</em>) of the components. However, the conventional <sup>1</sup>H 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 (<span>d</span>-glucose/<span>d</span>-fructose/<span>d</span>-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 C<sub>5</sub>/C<sub>6</sub> sugar conversion products and its derivative hydrogenation/hydrogenolysis from lignocellulose biomass.</p></div>","PeriodicalId":12744,"journal":{"name":"Green Energy & Environment","volume":"8 5","pages":"Pages 1409-1416"},"PeriodicalIF":10.7000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Energy & Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S246802572200019X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 2
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.
期刊介绍:
Green Energy & Environment (GEE) is an internationally recognized journal that undergoes a rigorous peer-review process. It focuses on interdisciplinary research related to green energy and the environment, covering a wide range of topics including biofuel and bioenergy, energy storage and networks, catalysis for sustainable processes, and materials for energy and the environment. GEE has a broad scope and encourages the submission of original and innovative research in both fundamental and engineering fields. Additionally, GEE serves as a platform for discussions, summaries, reviews, and previews of the impact of green energy on the eco-environment.