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2 results on '"Laura Sparlinek"'

1. Bio-based materials: general discussion

Author

Magdalena Titirici, Mark Mascal, Laura Sparlinek, Bruce E. Dale, Anna Zhenova, Joseph S. M. Samec, Anne Horan, George W. Huber, Keith W. Waldron, Long Zhou, Carlos I. Cabrera-Rodríguez, Fang Zhang, Duncan J. Macquarrie, Gadi Rothenberg, Terence Cooper, Thomas J. Farmer, Harry Bitter, Andrzej Stankiewicz, Dimitris S. Argyropoulos, Xiaoming Huang, Jakob Albert, James H. Clark, Changwei Hu, Eero Kontturi, Simo Sarkanen, Vitaliy L. Budarin, Xindong Mu, Servann Herou, Andrew J. Hunt, Deepak Pant, Christian V. Stevens, Florence J. V. Gschwend, Avtar S. Matharu, Karen Wilson, David J. C. Constable, and Amalio Garrido

Subjects
Materials science, Bambusa, Bio based, Biocompatible Materials, 02 engineering and technology, Biochemical engineering, Physical and Theoretical Chemistry, 010402 general chemistry, 021001 nanoscience & nanotechnology, 0210 nano-technology, ta215, 01 natural sciences, 0104 chemical sciences
Published
2017
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2. Statistical optimisation of enzymatic detoxification with laccase from Trametes versicolor for spent sulphite liquors using a novel in-situ NMR method

Author

Birgit Kamm, Laura Sparlinek, and Viktoria Leitner

Subjects
0106 biological sciences, In situ, Paper, Magnetic Resonance Spectroscopy, Industrial Waste, Bioengineering, 010501 environmental sciences, 01 natural sciences, Applied Microbiology and Biotechnology, 010608 biotechnology, Detoxification, Sulfites, Dry matter, Response surface methodology, 0105 earth and related environmental sciences, Trametes versicolor, Laccase, chemistry.chemical_classification, Trametes, Chromatography, Models, Statistical, biology, Chemistry, Temperature, General Medicine, Hydrogen-Ion Concentration, biology.organism_classification, Enzyme, Degradation (geology), Biotechnology
Abstract

Within this study the mediated detoxification of spent sulphite liquor via laccase from Trametes versicolor was analysed and optimised using an in-situ NMR-spectroscopy method. The enzymatic degradation kinetic was optimised using the degradation rate of aromatic compounds as indirect parameter. Via response surface methodology the impact of the temperature, the pH and the enzyme concentration was analysed and the conditions were optimised focusing on optimal detoxification. The results of the statistical calculation revealed a valid statistical model for the optimal impact on the aromatic degradation with a temperature of 31 °C, a pH of 6 and a laccase concentrations of 179 U g−1 dry matter of spent sulphite liquor. By using these conditions 88.73% of aromatic compounds could be degraded.

Published
2018

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