The ERC-COG project OXIDISE combined classical microbiological, biochemical and genetic methods to produce recombinant enzymes, to perform fluorescence-tagging, to prepare cellulose, lignin and natural samples and to grow fungi on wood samples to generate specifically defined test cases which were investigated with three high-resolution techniques: scanning electron microscopy (SECM), surface plasmon resonance (SPR) and fluorescence microscopy. The main results were (i) the measurement of authentic conversion rates of fungal lignocellulose degrading oxidoreductases when bound to their polymeric substrates, (ii) the elucidation of their distribution on plant cell walls and catalytic interaction, and (iii) insights into the mechanisms of electron transfer, regeneration of redox species and substrate cascading between the major fungal oxidoreductases.
Extracellular lignocellulosic enzymes from two model organisms, the white-rot Phanerochaete chrysosporium and the brown-rot Fomitopsis pinicola, were produced by fermentation in the expression hosts Trichoderma reesei, Pichia pastoris or Escherichia coli. After fermentation and purification the oxidoreductases cellobiose dehydrogenase, laccase, lytic polysaccharide monooxygenase, glyoxal oxidase and pyranose 2-oxidase as well as hydrolases GH45 and GH12 were fluorescence-tagged. Meanwhile, detection methods to asses enzymatic activity and the concentration of various enzyme substrates and products were developed. Four different ultramicroelectrode biosensors for the detection of enzymatic lignocellulolytic reaction products in plant cells were developed: (i) for the detection of the oxidase reaction product hydrogen peroxide, (ii) oxalic acid, (iii) the β-glucosidase reaction product glucose, and (iv) the cellobiohydrolase reaction product and cellobiose dehydrogenase reaction substrate cellobiose.
The results have been disseminated in 23 scientific articles, as well as in numerous conference contributions such as posters and oral presentations. The developed, biosensor-based scanning electrochemical microscope method will be exploited to study biocatalytic reactions on polymeric and/or solid substrates in basic research projects, but also in industrial development projects.