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

IF 10.7 1区 工程技术 Q1 CHEMISTRY, PHYSICAL
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 ,&nbsp;Christian Marcus Pedersen ,&nbsp;Jiamin Wang ,&nbsp;Rui Liu ,&nbsp;Yuanli Zhang ,&nbsp;Xiuyin Yan ,&nbsp;Zhenzhou Zhang ,&nbsp;Xianglin Hou ,&nbsp;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.

Abstract Image

利用PSYCHE iDOSY对木质纤维素生物质催化转化混合物的NMR扩散分析
生物质转化复杂混合物的组分分析和结构表征仍然是一项具有挑战性的工作。因此,开发有效且易于使用的技术是必要的。扩散有序核磁共振波谱(DOSY)是一种非选择性和非侵入性的方法,能够通过提供组分的扩散系数(D)来实现生物质混合物中单个化合物的伪分离和结构分配。然而,当分析含有相似化学结构的复杂混合物时,传统的1H-DOSY NMR受到拥挤共振的限制,从而导致相似的系数。在此,我们描述了一种先进的扩散NMR方法——CHirp激发DOSY产生的纯位移(PSYCHE iDOSY)的应用,该方法可以记录高分辨率的信号扩散光谱,有效地将模型和真实混合物样品中的化合物与纤维素、半纤维素和木质素分离。在扩散维度上成功分离了复杂的异构体(d-葡萄糖/d-果糖/d-甘露糖和1,2-/1,5-戊二醇)、同源化合物(乙二醇和1,2-丙二醇)、木质素的模型化合物和真正的反应体系(开环糠醇氢解)。结果表明,超高分辨率DOSY技术能够检测和伪分离木质纤维素生物质中C5/C6糖转化产物及其衍生物加氢/氢解的混合组分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Green Energy & Environment
Green Energy & Environment Energy-Renewable Energy, Sustainability and the Environment
CiteScore
16.80
自引率
3.80%
发文量
332
审稿时长
12 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信