使用超临界二氧化碳模拟和优化从南极叶藻中提取脂肪酸的参数

Aris Ivander Jonathan Kim, Romadhon Subkhan, Rakha Putra Prasetya, Y. Muharam
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引用次数: 0

摘要

微藻富含脂肪酸,在生物能源、健康、食品和生物材料等多个领域都有潜在的应用价值。超临界流体萃取(SFE)法通常用于提取微藻。本研究利用一种称为热球扩散的数学模型估算了从拟南芥中提取脂肪酸的解吸速率常数(kd)和二元扩散系数(DAB)等工艺参数。解吸模型用于模拟脂肪酸释放到溶剂(超临界二氧化碳)中的过程。参数估计过程是在温度为 313 和 333 K,压力为 12.5、20 和 30 MPa 的条件下进行的。kd 值随着压力和温度的升高而增加,在不同压力和温度下得到的 DAB 值也不同。
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Simulation and optimization of fatty acid extraction parameters from Nannochloropsis sp. using supercritical carbon dioxide
Microalgae, which are rich in fatty acids, have potential applications in various sectors such as bioenergy, health, food, and biomaterials. The Supercritical Fluid Extraction (SFE) method is commonly used to extract microalgae. This research estimated the process parameters of desorption rate constant (kd) and binary diffusion coefficient (DAB) for SFE fatty acid from Nannochloropsis sp. using a mathematical model called as hot sphere diffusion. Desorption models were used to model the release of fatty acids into the solvent (supercritical carbon dioxide). The parameter estimation process was conducted at temperatures of 313 and 333 K and pressures of 12.5, 20, and 30 MPa. The value of kd increased with increasing pressure and temperature and DAB values were obtained at varying pressures and temperatures.
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来源期刊
Communications in Science and Technology
Communications in Science and Technology Engineering-Engineering (all)
CiteScore
3.20
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊最新文献
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