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Production of manganese peroxidase and laccase in a solid-state bioreactor and modeling of enzyme production kinetics

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Abstract

Lignin-modifying enzymes have various promising applications such as biobleaching, biopulping, the functionalization of lignocellulosic materials, the modification of wood fibers, the remediation of contaminated soil and effluents, as well as improvement of the enzymatic hydrolysis of lignocellulosic substrates. In this study, the production of laccase and manganese peroxidase (MnP) in solid-state cultivation was examined. Oat husks were used as an inexpensive substrate for the white-rot fungus Cerrena unicolor PM170798 (FBCC 387). The addition of a fines fraction (consisting of oat flour and finely ground husks) enhanced MnP production fivefold and laccase production almost threefold. The enzyme production was studied first on a 100 g scale, and the cultivation experiments were then repeated at a larger laboratory-scale (4 kg) in a solid-state bioreactor. High enzyme activity levels were obtained (MnP: 340 nkat g−1 DM, laccase: 470 nkat g−1 DM). In addition, the correlation between the CO2 evolution rate and enzyme production was mathematically modeled from the bioreactor experimental data. The model parameters could be used to predict enzyme production.

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Abbreviations

CO2 :

Output CO2 concentration (%)

CO2,max :

Maximal CO2 concentration (%)

k d :

Death rate (day−1)

\( k_{{{\text{d,CO}}_{2} }} \) :

Decrease rate of CO2 evolution (day−1)

k P :

Product decay rate (day−1)

\( m_{{{\text{CO}}_{2} }} \) :

CO2 associated maintenance coefficient (day−1)

m P :

Product associated maintenance coefficient (day−1)

P :

Product concentration (g L−1)

\( r_{{{\text{CO}}_{2} ,{ \hbox{max} }}} \) :

CO2 evolution rate constant (day−1)

SSEd :

The sum of squared error in death phase

SSEg :

The sum of squared error in growth phase

t :

Time (day)

X :

Concentration of active biomass (g L−1)

X max :

Maximal biomass concentration (g L−1)

\( Y_{{{\text{CO}}_{2} /X}} \) :

Biomass-associated CO2 yield coefficient (g g−1)

Y i,est :

Simulated variable value

Y i,meas :

Measured variable value

Y P/X :

Biomass-associated product yield coefficient (g g−1)

γ :

Empirical parameter during growth phase

γ d :

Empirical parameter during death phase

µ :

Growth rate (day−1)

µ max :

Maximal growth rate (day−1)

τ :

Product synthesis delay (day)

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Acknowledgments

We thank Veera Virtanen, Seppo Jääskeläinen, Kalle Salonen, and Andreas Nyqvist for their assistance in reactor design, building, instrumentation, and creation of the user interface. We also thank Aila Mettälä for screening C. unicolor strains on oat husks for our work. Liisa Viikari is acknowledged for the critical comments concerning the manuscript. This study was funded by the Finnish Funding Agency for Technology and Innovation (TEKES) and the Finnish Graduate School on Applied Bioscience: Bioengineering, Food and Nutrition, Environment (ABS).

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Authors and Affiliations

  1. Department of Biotechnology and Chemical Technology, School of Chemical Technology, Aalto University, PO Box 16100, 00076, Espoo, Finland

    Ulla Moilanen, Erika Winquist, Tuomas Mattila & Tero Eerikäinen

  2. Department of Food and Environmental Sciences, University of Helsinki, PO Box 56, 00014, Helsinki, Finland

    Ulla Moilanen & Annele Hatakka

  3. Research Department, Finnish Environment Institute, PO Box 140, 00251, Helsinki, Finland

    Tuomas Mattila

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  1. Ulla Moilanen
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Correspondence to Ulla Moilanen.

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Moilanen, U., Winquist, E., Mattila, T. et al. Production of manganese peroxidase and laccase in a solid-state bioreactor and modeling of enzyme production kinetics. Bioprocess Biosyst Eng 38, 57–68 (2015). https://doi.org/10.1007/s00449-014-1243-0

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