Optimal recovery process conditions for manganese-peroxidase obtained by solid-state fermentation of eucalyptus residue using Lentinula edodes
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
18/10/2012
18/10/2012
2011
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Resumo |
Enzyme production is a growing field in biotechnology and increasing attention has been devoted to the solid-state fermentation (SSF) of lignocellulosic biomass for production of industrially relevant lignocellulose deconstruction enzymes, especially manganese-peroxidase (MnP), which plays a crucial role in lignin degradation. However, there is a scarcity of studies regarding extraction of the secreted metabolities that are commonly bound to the fermented solids, preventing their accurate detection and limiting recovery efficiency. In the present work, we assessed the effectiveness of extraction process variables (pH, stirring rate, temperature, and extraction time) on recovery efficiency of manganese-peroxidase (MnP) obtained by SSF of eucalyptus residues using Lentinula edodes using statistical design of experiments. The results from this study indicated that of the variables studied, pH was the most significant (p < 0.05%) parameter affecting MnP recovery yield, while temperature, extraction time, and stirring rate presented no statistically significant effects in the studied range. The optimum pH for extraction of MnP was at 4.0-5.0, which yielded 1500-1700 IU kg (1) of enzyme activity at extraction time 4-5 h, under static condition at room temperature. (C) 2011 Elsevier Ltd. All rights reserved. Fundacdo de Amparo a Pesquisa do Estado de sao Paulo - FAPESP[04/12080-0] Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - CAPES |
Identificador |
BIOMASS & BIOENERGY, v.35, n.9, p.4040-4044, 2011 0961-9534 http://producao.usp.br/handle/BDPI/17552 10.1016/j.biombioe.2011.06.042 |
Idioma(s) |
eng |
Publicador |
PERGAMON-ELSEVIER SCIENCE LTD |
Relação |
Biomass & Bioenergy |
Direitos |
restrictedAccess Copyright PERGAMON-ELSEVIER SCIENCE LTD |
Palavras-Chave | #Lentinula edodes #Lignocellulosic residues #Manganese-peroxidase #Statistical design of experiments #Optimization #MUSHROOM #LACCASE #ENZYMES #GROWTH #WOOD #Agricultural Engineering #Biotechnology & Applied Microbiology #Energy & Fuels |
Tipo |
article original article publishedVersion |