↓ Skip to main content

Beechwood carbohydrates for enzymatic synthesis of sustainable glycolipids

Overview of attention for article published in Bioresources and Bioprocessing, June 2017
Altmetric Badge

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
59 Mendeley
Title
Beechwood carbohydrates for enzymatic synthesis of sustainable glycolipids
Published in
Bioresources and Bioprocessing, June 2017
DOI 10.1186/s40643-017-0155-7
Pubmed ID
Authors

Sascha Siebenhaller, Tatjana Hajek, Claudia Muhle-Goll, Miriam Himmelsbach, Burkhard Luy, Frank Kirschhöfer, Gerald Brenner-Weiß, Thomas Hahn, Susanne Zibek, Christoph Syldatk

Abstract

Moving away from crude oil to renewable resources for the production of a wide range of compounds is a challenge for future generations. To overcome this, the use of lignocellulose as substrate can contribute to drastically reduce the consumption of crude oil. In this study, sugars from lignocellulose were used as a starting material for the enzymatic synthesis of surface-active sugar esters. The substrates were obtained by an acid-catalyzed, beechwood pretreatment process, which resulted in a fiber fraction that is subsequently hydrolyzed to obtain the monosaccharides. After purification and drying, this glucose- and xylose-rich fraction was used to create a deep eutectic solvent, which acts both as solvent and substrate for the lipase-catalyzed reaction at the same time. Finally, the successful synthesis of glycolipids from a sustainable resource was confirmed by ESI-Q-ToF mass spectrometry and multidimensional NMR experiments. Moreover, conversion yields of 4.8% were determined by LC-MS/MS.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Master 7 12%
Student > Bachelor 6 10%
Student > Ph. D. Student 6 10%
Other 4 7%
Other 6 10%
Unknown 22 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 14%
Chemical Engineering 6 10%
Chemistry 6 10%
Agricultural and Biological Sciences 5 8%
Engineering 3 5%
Other 6 10%
Unknown 25 42%