Department of Chemical Engineering, Materials and Environment, Sapienza University, Roma, Italy.
Department of Anatomical, Histological, Forensic and Locomotor Apparatus Sciences, Sapienza University, Roma, Italy.
Bioresour Technol. 2016 Jul;212:35-41. doi: 10.1016/j.biortech.2016.04.025. Epub 2016 Apr 8.
A statistical mixture design approach was used to investigate the effects of cell wall degrading enzymes on the recovery of lipids from Nannochloropsis sp. A preliminary screening of potentially suitable enzyme preparations, including lysozyme, cellulase and different types of hemicellulases, was carried out. The most effective preparations were then taken as basic components for the formulation of enzyme mixtures. Optimized ternary mixtures consisting of cellulase and two hemicellulases were obtained which allowed the recovery of up to 37.2g of lipids per 100g of dry biomass. SEM and TEM images of the enzymatically treated microalga revealed extensive cell damage, with degradation of the cell wall and release of intracellular material. Overall, the results obtained demonstrate that the mixture design method can be used to prepare cell wall degrading enzyme cocktails that can significantly improve the recovery of lipids or other valuable components from microalgae.
采用统计混合设计方法研究了细胞壁降解酶对从 Nannochloropsis sp.中回收脂质的影响。对包括溶菌酶、纤维素酶和不同类型的半纤维素酶在内的潜在合适酶制剂进行了初步筛选。然后，将最有效的制剂作为酶混合物配方的基本成分。获得了由纤维素酶和两种半纤维素酶组成的最佳三元混合物，可从每 100g 干生物质中回收高达 37.2g 的脂质。酶处理微藻的 SEM 和 TEM 图像显示出广泛的细胞损伤，细胞壁降解和细胞内物质释放。总的来说，研究结果表明，混合设计方法可用于制备细胞壁降解酶混合物，可显著提高微藻中脂质或其他有价值成分的回收率。
