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A PCR-based method to quantify fungal growth during pretreatment of lignocellulosic biomass

机译:一种基于PCR的量化真菌生长在木质纤维素生物质预处理中的方法

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摘要

Filamentous fungi have shown great potential in the pretreatment of lignocellulosic biomass and their use in bio-processes based on Solid State Fermentation (SSF) opens promising perspectives for plant biomass valorization. Obviously, quantification of the fungal biomass throughout the fermentation is a crucial parameter for SSF evaluation and control, both at the laboratory and industrial scale. Here we provide a qPCR-based method as a reliable alternative to conventional methods to estimate mycelial growth during plant biomass treatment. For the three strains analyzed, the lowest detection limit ranged from 58 to 272 mu g mycelium dry weight per gram biomass (dry weight). We show that the qPCR-based method allows fungal growth monitoring during fermentation and provides relevant information for selection of the most appropriate fungal strains in specific SSF/reactor conditions. (C) 2015 Elsevier B.V. All rights reserved.
机译:丝状真菌在木质纤维素生物量预处理中表现出巨大的潜力,并且它们在基于固态发酵(SSF)的生物过程中的用途促进了植物生物质储存的有前途的观点。 显然,整个发酵过程中真菌生物质的定量是SSF评估和控制的关键参数,无论是在实验室和工业规模。 在这里,我们提供基于QPCR的方法作为常规方法的可靠替代方法,以估计植物生物质处理期间的菌丝体生长。 对于分析的三种菌株,最低检测极限范围为每克生物量(干重)的58至272μg菌丝干重。 我们表明,基于QPCR的方法可以在发酵过程中进行真菌生长监测,并提供相关信息,以便在特异性SSF /反应器条件下选择最合适的真菌菌株。 (c)2015 Elsevier B.v.保留所有权利。

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