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Quantitative Low-Field 19 F Nuclear Magnetic Resonance Analysis of Carbonyl Groups in Pyrolysis Oils.
Tang, Bridget; Chong, Katie; Ragauskas, Arthur J; Evans, Robert.
Afiliação
  • Tang B; Aston Institute of Materials Research, Aston University, Aston Triangle, Birmingham, B4 7ET, UK.
  • Chong K; Energy and Bioproducts Research Institute, Aston University, Aston Triangle, Birmingham, B4 7ET, UK.
  • Ragauskas AJ; Department of Chemical and Biomolecular Engineering, The University of Tennessee, Knoxville, Tennessee, 37996, United States.
  • Evans R; Joint Institute for Biological Sciences, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, 37771, United States.
ChemSusChem ; 16(17): e202300625, 2023 Sep 08.
Article em En | MEDLINE | ID: mdl-37318880
Pyrolysis bio-oils, one of the products of lignocellulosic biomass pyrolysis, have the potential to be widely used as fuels. The chemical composition of bio-oils is very complicated as they contain hundreds, if not thousands, of different, mostly oxygen-containing, compounds with a wide distribution of physical properties, chemical structures, and concentrations. Detailed knowledge of bio-oil composition is crucial for optimizing both the pyrolysis processes and for any subsequent upgrading into a more viable fuel resource. Here we report the successful use of low-field, or benchtop, nuclear magnetic resonance (NMR) spectrometers in the analysis of pyrolysis oils. Pyrolysis oils from four different feedstocks were derivatized and analyzed using 19 F NMR techniques. The NMR results compare favorably with titrations for total carbonyl content. In addition, the benchtop NMR spectrometer proves able to reveal key spectral features, thus allowing the quantification of different carbonyl groups, such as aldehydes, ketones and quinones. Benchtop NMR spectrometers are typically compact, cheaper than their superconducting counterparts and do not require cryogens. Their use will make NMR analysis of pyrolysis oils easier and more accessible to a wide range of different potential users.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article