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International Journal of Medicinal Mushrooms
インパクトファクター: 1.423 5年インパクトファクター: 1.525 SJR: 0.431 SNIP: 0.716 CiteScore™: 2.6

ISSN 印刷: 1521-9437
ISSN オンライン: 1940-4344

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International Journal of Medicinal Mushrooms

DOI: 10.1615/IntJMedMushrooms.v18.i7.20
pages 571-581

Optimization of the Production of Extracellular Polysaccharide from the Shiitake Medicinal Mushroom Lentinus edodes (Agaricomycetes) Using Mutation and a Genetic Algorithm−Coupled Artificial Neural Network (GA-ANN)

Adeyemi Ojutalayo Adeeyo
Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
Agbaje Lateef
Microbiology Unit, Department of Pure and Applied Biology, Ladoke Akintola University of Technology, Ogbomosho, Oyo State, Nigeria
Evariste Bosco Gueguim-Kana
Department of Microbiology, School of of Life Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa

要約

Exopolysaccharide (EPS) production by a strain of Lentinus edodes was studied via the effects of treatments with ultraviolet (UV) irradiation and acridine orange. Furthermore, optimization of EPS production was studied using a genetic algorithm coupled with an artificial neural network in submerged fermentation. Exposure to irradiation and acridine orange resulted in improved EPS production (2.783 and 5.548 g/L, respectively) when compared with the wild strain (1.044 g/L), whereas optimization led to improved productivity (23.21 g/L). The EPS produced by various strains also demonstrated good DPPH scavenging activities of 45.40−88.90%, and also inhibited the growth of Escherichia coli and Klebsiella pneumoniae. This study shows that multistep optimization schemes involving physical-chemical mutation and media optimization can be an attractive strategy for improving the yield of bioactives from medicinal mushrooms. To the best of our knowledge, this report presents the first reference of a multistep approach to optimizing EPS production in L. edodes.


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