Oliveira Joana, Pardilhó Sara, Dias Joana M, Pires José C M
Laboratory for Process Engineering, Environment, Biotechnology and Energy (LEPABE), Department of Chemical Engineering, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
ALiCE-Associate Laboratory in Chemical Engineering, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
Biology (Basel). 2023 Jun 29;12(7):935. doi: 10.3390/biology12070935.
Microalgae are a promising feedstock for bioethanol production, essentially due to their high growth rates and absence of lignin. Hydrolysis-where the monosaccharides are released for further fermentation-is considered a critical step, and its optimization is advised for each raw material. The present study focuses on the thermal acid hydrolysis (with sulfuric acid) of sp. through a response surface methodology (RSM), studying the effect of acid concentration, hydrolysis time and biomass/acid ratio on both sugar concentration of the hydrolysate and biomass conversion yield. Preliminary studies allowed to establish the range of the variables to be optimized. The obtained models predicted a maximum sugar concentration (18.05 g/L; R = 0.990) after 90 min of hydrolysis, using 15% (/) biomass/acid ratio and sulfuric acid at 3.5% (/), whereas the maximum conversion yield (12.86 g/100 g; R = 0.876) was obtained using 9.3% (/) biomass/acid ratio, maintaining the other parameters. Model outputs indicate that the biomass/acid ratio and time are the most influential parameters on the sugar concentration and yield models, respectively. The study allowed to obtain a predictive model that is very well adjusted to the experimental data to find the best saccharification conditions for the sp. microalgae.
微藻是生物乙醇生产中一种很有前景的原料，主要是因为它们生长速度快且不含木质素。水解（即释放单糖以供进一步发酵）被认为是关键步骤，建议针对每种原料对其进行优化。本研究通过响应面法（RSM）聚焦于 种微藻的热酸水解（使用硫酸），研究酸浓度、水解时间和生物质/酸比对水解产物糖浓度和生物质转化率的影响。初步研究确定了待优化变量的范围。所得模型预测，在水解90分钟后，使用15%（/）的生物质/酸比和3.5%（/）的硫酸，糖浓度最高可达18.05克/升（R = 0.990）；而在保持其他参数不变的情况下，使用9.3%（/）的生物质/酸比可获得最高转化率（12.86克/100克；R = 0.876）。模型输出结果表明，生物质/酸比和时间分别是糖浓度模型和产率模型中最具影响力的参数。该研究得到了一个与实验数据拟合良好的预测模型，以找到 种微藻的最佳糖化条件。
