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Enzyme adsorption-induced activity changes: a quantitative study on TiO2 model agglomerates

Overview of attention for article published in Journal of Nanobiotechnology, July 2017
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Title
Enzyme adsorption-induced activity changes: a quantitative study on TiO2 model agglomerates
Published in
Journal of Nanobiotechnology, July 2017
DOI 10.1186/s12951-017-0283-4
Pubmed ID
Authors

Augusto Márquez, Krisztina Kocsis, Gregor Zickler, Gilles R. Bourret, Andrea Feinle, Nicola Hüsing, Martin Himly, Albert Duschl, Thomas Berger, Oliver Diwald

Abstract

Activity retention upon enzyme adsorption on inorganic nanostructures depends on different system parameters such as structure and composition of the support, composition of the medium as well as enzyme loading. Qualitative and quantitative characterization work, which aims at an elucidation of the microscopic details governing enzymatic activity, requires well-defined model systems. Vapor phase-grown and thermally processed anatase TiO2 nanoparticle powders were transformed into aqueous particle dispersions and characterized by dynamic light scattering and laser Doppler electrophoresis. Addition of β-galactosidase (β-gal) to these dispersions leads to complete enzyme adsorption and the generation of β-gal/TiO2 heteroaggregates. For low enzyme loadings (~4% of the theoretical monolayer coverage) we observed a dramatic activity loss in enzymatic activity by a factor of 60-100 in comparison to that of the free enzyme in solution. Parallel ATR-IR-spectroscopic characterization of β-gal/TiO2 heteroaggregates reveals an adsorption-induced decrease of the β-sheet content and the formation of random structures leading to the deterioration of the active site. The study underlines that robust qualitative and quantitative statements about enzyme adsorption and activity retention require the use of model systems such as anatase TiO2 nanoparticle agglomerates featuring well-defined structural and compositional properties.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 4 21%
Student > Bachelor 4 21%
Student > Doctoral Student 1 5%
Unknown 6 32%
Readers by discipline Count As %
Chemistry 3 16%
Biochemistry, Genetics and Molecular Biology 2 11%
Agricultural and Biological Sciences 2 11%
Business, Management and Accounting 1 5%
Economics, Econometrics and Finance 1 5%
Other 3 16%
Unknown 7 37%