Modeling Grifola frondosa fungal growth during solid-state fermentation
Grifola frondosa (maitake) is an edible and medicinal mushroom. Considering its increasing popularity, there are limited references for its cultivation. Previous studies demonstrated that carpophore formation is correlated directly with mycelial biomass. The development of a mathematical model for i...
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2011
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16180240_v11_n3_p316_MontoyaBarreto http://hdl.handle.net/20.500.12110/paper_16180240_v11_n3_p316_MontoyaBarreto |
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paper:paper_16180240_v11_n3_p316_MontoyaBarreto2023-06-08T16:25:32Z Modeling Grifola frondosa fungal growth during solid-state fermentation Levin, Laura Noemi Grifola frondosa Mathematical modeling NAGA SSF Adjustment parameter Corn bran Different substrates Experimental data Fungal biomass Fungal growth Grifola frondosa Logistic models Mathematical modeling Medicinal mushroom Mycelial biomass N-acetyl-D-glucosamine NAGA Oak sawdust Reducing sugars Solid-state fermentation SSF Two stage model Ecology Fermentation Fungi Substrates Sugars Mathematical models n acetylglucosamine biotechnology deciduous tree fermentation fruiting growth modeling maize mushroom numerical model phytomass substrate article biotechnological production corn edible mushroom experimental model fungal biomass fungus growth grifola frondosa mathematical model nonhuman sawdust solid state fermentation sugar intake synthesis Basidiomycota Grifola frondosa Zea mays Grifola frondosa (maitake) is an edible and medicinal mushroom. Considering its increasing popularity, there are limited references for its cultivation. Previous studies demonstrated that carpophore formation is correlated directly with mycelial biomass. The development of a mathematical model for its growth under solid-state fermentation (SSF) may help to predict the potential of different substrates for maitake production. G. frondosa growth and basidiome development was studied, using oak sawdust and corn bran as substrates. The fungal biomass content was determined by measuring N-acetyl-D-glucosamine (NAGA). It increased steadily for the first 80 days, to a maximum in coincidence with the first fruiting (60.5μg NAGA/mg dry sample). Two mathematical models were selected to evaluate G. frondosa development, measuring reducing sugars consumption and NAGA synthesis, as an indirect assessment of fungal growth. Both models showed a good fit between predicted and experimental data: logistic model (R2=0.8896), two-stage model (R2=0.8878), but the logistic model required a minor number of adjustment parameters. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Fil:Levin, L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16180240_v11_n3_p316_MontoyaBarreto http://hdl.handle.net/20.500.12110/paper_16180240_v11_n3_p316_MontoyaBarreto |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Grifola frondosa Mathematical modeling NAGA SSF Adjustment parameter Corn bran Different substrates Experimental data Fungal biomass Fungal growth Grifola frondosa Logistic models Mathematical modeling Medicinal mushroom Mycelial biomass N-acetyl-D-glucosamine NAGA Oak sawdust Reducing sugars Solid-state fermentation SSF Two stage model Ecology Fermentation Fungi Substrates Sugars Mathematical models n acetylglucosamine biotechnology deciduous tree fermentation fruiting growth modeling maize mushroom numerical model phytomass substrate article biotechnological production corn edible mushroom experimental model fungal biomass fungus growth grifola frondosa mathematical model nonhuman sawdust solid state fermentation sugar intake synthesis Basidiomycota Grifola frondosa Zea mays |
| spellingShingle |
Grifola frondosa Mathematical modeling NAGA SSF Adjustment parameter Corn bran Different substrates Experimental data Fungal biomass Fungal growth Grifola frondosa Logistic models Mathematical modeling Medicinal mushroom Mycelial biomass N-acetyl-D-glucosamine NAGA Oak sawdust Reducing sugars Solid-state fermentation SSF Two stage model Ecology Fermentation Fungi Substrates Sugars Mathematical models n acetylglucosamine biotechnology deciduous tree fermentation fruiting growth modeling maize mushroom numerical model phytomass substrate article biotechnological production corn edible mushroom experimental model fungal biomass fungus growth grifola frondosa mathematical model nonhuman sawdust solid state fermentation sugar intake synthesis Basidiomycota Grifola frondosa Zea mays Levin, Laura Noemi Modeling Grifola frondosa fungal growth during solid-state fermentation |
| topic_facet |
Grifola frondosa Mathematical modeling NAGA SSF Adjustment parameter Corn bran Different substrates Experimental data Fungal biomass Fungal growth Grifola frondosa Logistic models Mathematical modeling Medicinal mushroom Mycelial biomass N-acetyl-D-glucosamine NAGA Oak sawdust Reducing sugars Solid-state fermentation SSF Two stage model Ecology Fermentation Fungi Substrates Sugars Mathematical models n acetylglucosamine biotechnology deciduous tree fermentation fruiting growth modeling maize mushroom numerical model phytomass substrate article biotechnological production corn edible mushroom experimental model fungal biomass fungus growth grifola frondosa mathematical model nonhuman sawdust solid state fermentation sugar intake synthesis Basidiomycota Grifola frondosa Zea mays |
| description |
Grifola frondosa (maitake) is an edible and medicinal mushroom. Considering its increasing popularity, there are limited references for its cultivation. Previous studies demonstrated that carpophore formation is correlated directly with mycelial biomass. The development of a mathematical model for its growth under solid-state fermentation (SSF) may help to predict the potential of different substrates for maitake production. G. frondosa growth and basidiome development was studied, using oak sawdust and corn bran as substrates. The fungal biomass content was determined by measuring N-acetyl-D-glucosamine (NAGA). It increased steadily for the first 80 days, to a maximum in coincidence with the first fruiting (60.5μg NAGA/mg dry sample). Two mathematical models were selected to evaluate G. frondosa development, measuring reducing sugars consumption and NAGA synthesis, as an indirect assessment of fungal growth. Both models showed a good fit between predicted and experimental data: logistic model (R2=0.8896), two-stage model (R2=0.8878), but the logistic model required a minor number of adjustment parameters. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. |
| author |
Levin, Laura Noemi |
| author_facet |
Levin, Laura Noemi |
| author_sort |
Levin, Laura Noemi |
| title |
Modeling Grifola frondosa fungal growth during solid-state fermentation |
| title_short |
Modeling Grifola frondosa fungal growth during solid-state fermentation |
| title_full |
Modeling Grifola frondosa fungal growth during solid-state fermentation |
| title_fullStr |
Modeling Grifola frondosa fungal growth during solid-state fermentation |
| title_full_unstemmed |
Modeling Grifola frondosa fungal growth during solid-state fermentation |
| title_sort |
modeling grifola frondosa fungal growth during solid-state fermentation |
| publishDate |
2011 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16180240_v11_n3_p316_MontoyaBarreto http://hdl.handle.net/20.500.12110/paper_16180240_v11_n3_p316_MontoyaBarreto |
| work_keys_str_mv |
AT levinlauranoemi modelinggrifolafrondosafungalgrowthduringsolidstatefermentation |
| _version_ |
1768544840034811904 |