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超声辅助提取微藻中的碳水化合物作为酵母发酵的原料。

Ultrasound assisted extraction of carbohydrates from microalgae as feedstock for yeast fermentation.

机构信息

School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, Singapore.

出版信息

Bioresour Technol. 2013 Jan;128:337-44. doi: 10.1016/j.biortech.2012.10.038. Epub 2012 Oct 22.

DOI:10.1016/j.biortech.2012.10.038
PMID:23196255
Abstract

Recently, carbohydrates biomass from microalgae is considered as a promising and inexpensive feedstock for biofeuls production by microorganism fermentation. The main obstacle of the process is microalgae pretreatment and carbohydrates extraction from algal cell. In this study, comparison of three pretreatment methods was performed and the results showed that ultrasonic assisted extraction (UAE) was very effective. The effects of four parameters (ultrasonic power, extraction time, flow rate and algal cell concentration, respectively) on extraction efficiency were also investigated. Additionally, in order to identify significant factors for glucose yield, combination of these four parameters was examined by using fractional factorial design (FFD) and the regression model was obtained. Meanwhile, the refined model was confirmed as a good fitting model via analysis of variance (ANOVA). After extraction, glucose obtained from microalgae was used as substrate for Rhodosporidium toruloides fermentation and yeast biomass was much higher than that of control culture.

摘要

最近,人们认为微藻中的碳水化合物生物质是通过微生物发酵生产生物燃料的一种很有前途且廉价的原料。该过程的主要障碍是微藻的预处理和藻类细胞中碳水化合物的提取。在本研究中,对三种预处理方法进行了比较,结果表明超声辅助提取(UAE)非常有效。还研究了四个参数(超声功率、提取时间、流速和藻细胞浓度)对提取效率的影响。此外,为了确定葡萄糖产率的显著因素,通过部分因子设计(FFD)考察了这四个参数的组合,得到了回归模型。同时,通过方差分析(ANOVA)验证了该精制模型是一个很好的拟合模型。提取后,从微藻中获得的葡萄糖被用作粘红酵母发酵的底物,酵母生物量比对照培养物高得多。

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