Highly Efficient\nAnalysis on Biomass Carbohydrate\nMixtures by DREAMTIME NMR Spectroscopy

Proton (<sup>1</sup>H) NMR spectroscopy presents a powerful\ntool\nfor biomass mixture studies by revealing the involved chemical compounds\nwith identified ingredients and molecular structures. However, conventional <sup>1</sup>H NMR generally suffers from spectral congestion when measuring\nbiomass mixtures, particularly biomass carbohydrate samples, that\ncontain various physically and chemically similar compounds. In this\nstudy, a targeted detection NMR approach, DREAMTIME, is exploited\nfor studying biomass carbohydrate mixtures by spectroscopically targeting\nthe desired compounds in separate 1D NMR spectra. From three model\nmixtures, namely, the C<sub>6</sub> sugar isomerization mixture, C<sub>5</sub> sugar catalytic hydrogenation mixture, and d-glucose\nand d-xylose fermentation mixture, to a real reaction mixture\nof sucrose hydrolysis, DREAMTIME achieves satisfactory performance\nin compound identification and mixture analysis even when mixture\nsignals are crowded and overlapped in conventional <sup>1</sup>H NMR.\nAdditionally, DREAMTIME is performed in a rapid 1D acquisition manner,\nmaking it available for highly efficient analysis on various biomass\nreactions. Our results suggest that DREAMTIME provides an effective\nmethod for wide applications to complex biomass mixture analysis with\nexplicit compound identification, targeted component monitoring, and\nconversion reaction detection.

Publication Details

Journal
Figshare
Published
2024-12-27
DOI
https://doi.org/10.1021/acs.analchem.4c05668.s001
Primary Topic
Biofuel production and bioconversion
Type
article
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article

Highly Efficient\nAnalysis on Biomass Carbohydrate\nMixtures by DREAMTIME NMR Spectroscopy

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Biofuel production and bioconversion
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Highly Efficient\nAnalysis on Biomass Carbohydrate\nMixtures by DREAMTIME NMR Spectroscopy

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Abstract

Proton (<sup>1</sup>H) NMR spectroscopy presents a powerful\ntool\nfor biomass mixture studies by revealing the involved chemical compounds\nwith identified ingredients and molecular structures. However, conventional <sup>1</sup>H NMR generally suffers from spectral congestion when measuring\nbiomass mixtures, particularly biomass carbohydrate samples, that\ncontain various physically and chemically similar compounds. In this\nstudy, a targeted detection NMR approach, DREAMTIME, is exploited\nfor studying biomass carbohydrate mixtures by spectroscopically targeting\nthe desired compounds in separate 1D NMR spectra. From three model\nmixtures, namely, the C<sub>6</sub> sugar isomerization mixture, C<sub>5</sub> sugar catalytic hydrogenation mixture, and d-glucose\nand d-xylose fermentation mixture, to a real reaction mixture\nof sucrose hydrolysis, DREAMTIME achieves satisfactory performance\nin compound identification and mixture analysis even when mixture\nsignals are crowded and overlapped in conventional <sup>1</sup>H NMR.\nAdditionally, DREAMTIME is performed in a rapid 1D acquisition manner,\nmaking it available for highly efficient analysis on various biomass\nreactions. Our results suggest that DREAMTIME provides an effective\nmethod for wide applications to complex biomass mixture analysis with\nexplicit compound identification, targeted component monitoring, and\nconversion reaction detection.

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Biofuel production and bioconversion
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Highly Efficient\nAnalysis on Biomass Carbohydrate\nMixtures by DREAMTIME NMR Spectroscopy · Figshare (2024) | TGRS Research Map | TGRS