Artificial intelligence approach for high level production of amylase using Rhizopus microsporus var. oligosporus and different agro-industrial wastes

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• 作者：Eutimio Gustavo Ferná ; ndez Nú ; ñ ; ez ; Augusto Cesar Barchi ; Shuri Ito ; Bruna Escaramboni ; Rondinelli Donizetti Herculano ; Cassia Roberta Malacrida Mayer and Pedro de Oliva Neto
• 刊名：Journal of Chemical Technology and Biotechnology
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：92
• 期：3
• 页码：684-692
• 全文大小：585K
• ISSN：1097-4660

文摘

Culture medium is a key element to be defined when biotechnologies are chosen for agro-industrial wastes reutilization. This work aimed at definition of culture medium composition using four agro-industrial wastes (wheat bran, type II wheat flour, soybean meal and sugarcane bagasse) in solid-state fermentation (SSF) of Rhizopus oligosporus, for high-level production of amylases through approaches based on artificial intelligence (AI) or response surface methodologies (RSM). First, substrates were individually assessed. Then, I-optimal mixture experimental designs were performed to determine the influence of two sets of ternary agro-industrial waste mixtures on amylase and specific amylase activities.