Kruger Jacob S, Schutter Skylar, Knoshaug Eric P, Panczak Bonnie, Alt Hannah, Sowell Alicia, Van Wychen Stefanie, Fowler Matthew, Hirayama Kyoko, Thakkar Anuj, Kumar Sandeep, Dong Tao
Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States.
BioSciences Center, National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States.
Energy Fuels. 2024 Apr 30;38(10):8804-8816. doi: 10.1021/acs.energyfuels.4c00508. eCollection 2024 May 16.
Conversion of microalgae to renewable fuels and chemical co-products by pretreating and fractionation holds promise as an algal biorefinery concept, but a better understanding of the pretreatment performance as a function of algae strain and composition is necessary to de-risk algae conversion operations. Similarly, there are few examples of algae pretreatment at scales larger than the bench scale. This work aims to de-risk algal biorefinery operations by evaluating the pretreatment performance across nine different microalgae samples and five different pretreatment methods at small (5 mL) scale and further de-risk the operation by scaling pretreatment for one species to the 80 L scale. The pretreatment performance was evaluated by solubilization of feedstock carbon and nitrogen [as total organic carbon (TOC) and total nitrogen (TN)] into the aqueous hydrolysate and extractability of lipids [as fatty acid methyl esters (FAMEs)] from the pretreated solids. A range of responses was noted among the algae samples across pretreatments, with the current dilute Brønsted acid pretreatment using HSO being the most consistent and robust. This pretreatment produced TOC yields to the hydrolysate ranging from 27.7 to 51.1%, TN yields ranging from 12.3 to 76.2%, and FAME yields ranging from 57.9 to 89.9%. In contrast, the other explored pretreatments (other dilute acid pretreatments, dilute alkali pretreatment with NaOH, enzymatic pretreatment, and flash hydrolysis) produced lower or more variable yields across the three metrics. In light of the greater consistency across samples for dilute acid pretreatment, this method was scaled to 80 L to demonstrate scalability with microalgae feedstocks.
通过预处理和分馏将微藻转化为可再生燃料和化学副产品作为一种藻类生物精炼概念具有广阔前景,但要降低藻类转化操作的风险,有必要更好地了解预处理性能与藻类菌株和组成的关系。同样,规模大于实验室规模的藻类预处理实例很少。这项工作旨在通过在小(5毫升)规模下评估九种不同微藻样品和五种不同预处理方法的预处理性能来降低藻类生物精炼操作的风险,并通过将一种藻类的预处理规模扩大到80升来进一步降低操作风险。通过将原料碳和氮[作为总有机碳(TOC)和总氮(TN)]溶解到水解液中以及从预处理后的固体中提取脂质[作为脂肪酸甲酯(FAMEs)]来评估预处理性能。在各种预处理中,藻类样品之间呈现出一系列不同的结果,目前使用HSO的稀布朗斯台德酸预处理是最稳定和可靠的。这种预处理产生的水解液中TOC产率为27.7%至51.1%,TN产率为12.3%至76.2%,FAME产率为57.9%至89.9%。相比之下,其他探索的预处理方法(其他稀酸预处理、用NaOH进行的稀碱预处理、酶预处理和闪速水解)在这三个指标上产生的产率较低或变化更大。鉴于稀酸预处理在样品间具有更高的一致性,该方法被扩大到80升规模以证明其对微藻原料的可扩展性。