Highly Efficient Analysis on Biomass Carbohydrate Mixtures by DREAMTIME NMR Spectroscopy

Proton (<sup>1</sup>H) NMR spectroscopy presents a powerful tool for biomass mixture studies by revealing the involved chemical compounds with identified ingredients and molecular structures. However, conventional <sup>1</sup>H NMR generally suffers from spectral congestion when measuring biomass mixtures, particularly biomass carbohydrate samples, that contain various physically and chemically similar compounds. In this study, a targeted detection NMR approach, DREAMTIME, is exploited for studying biomass carbohydrate mixtures by spectroscopically targeting the desired compounds in separate 1D NMR spectra. From three model mixtures, namely, the C<sub>6</sub> sugar isomerization mixture, C<sub>5</sub> sugar catalytic hydrogenation mixture, and d-glucose and d-xylose fermentation mixture, to a real reaction mixture of sucrose hydrolysis, DREAMTIME achieves satisfactory performance in compound identification and mixture analysis even when mixture signals are crowded and overlapped in conventional <sup>1</sup>H NMR. Additionally, DREAMTIME is performed in a rapid 1D acquisition manner, making it available for highly efficient analysis on various biomass reactions. Our results suggest that DREAMTIME provides an effective method for wide applications to complex biomass mixture analysis with explicit compound identification, targeted component monitoring, and conversion reaction detection.

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Publication Details

Journal
Analytical Chemistry
Published
2024-12-27
DOI
https://doi.org/10.1021/acs.analchem.4c05668
Citations
2
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.37

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article

Highly Efficient Analysis on Biomass Carbohydrate Mixtures by DREAMTIME NMR Spectroscopy

Yuqing Huang, Xiaozhen Feng, Chengda Huang, Yinping Cui et al.
2 citations
Analytical Chemistry
Thermochemical Biomass Conversion Processes
0.37
article

Highly Efficient Analysis on Biomass Carbohydrate Mixtures by DREAMTIME NMR Spectroscopy

Yuqing Huang, Xiaozhen Feng, Chengda Huang, Yinping Cui, Zhengsheng Zhan, Haolin Zhan, Zhong Chen, Yunsong Zeng, Xiaohong Cui, Shuo‐Hui Cao, Qingjie Yang
article en
2 citations

Abstract

Proton (<sup>1</sup>H) NMR spectroscopy presents a powerful tool for biomass mixture studies by revealing the involved chemical compounds with identified ingredients and molecular structures. However, conventional <sup>1</sup>H NMR generally suffers from spectral congestion when measuring biomass mixtures, particularly biomass carbohydrate samples, that contain various physically and chemically similar compounds. In this study, a targeted detection NMR approach, DREAMTIME, is exploited for studying biomass carbohydrate mixtures by spectroscopically targeting the desired compounds in separate 1D NMR spectra. From three model mixtures, namely, the C<sub>6</sub> sugar isomerization mixture, C<sub>5</sub> sugar catalytic hydrogenation mixture, and d-glucose and d-xylose fermentation mixture, to a real reaction mixture of sucrose hydrolysis, DREAMTIME achieves satisfactory performance in compound identification and mixture analysis even when mixture signals are crowded and overlapped in conventional <sup>1</sup>H NMR. Additionally, DREAMTIME is performed in a rapid 1D acquisition manner, making it available for highly efficient analysis on various biomass reactions. Our results suggest that DREAMTIME provides an effective method for wide applications to complex biomass mixture analysis with explicit compound identification, targeted component monitoring, and conversion reaction detection.

Analytical ChemistryVol. 97(1)
Fujian Medical University (CN), Jimei University (CN), Hefei University of Technology (CN), Xiamen University (CN), Shanghai Optical Instrument Research Institute (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 41%
Thermochemical Biomass Conversion Processes
0.37
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