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Cultivation optimization and modeling for microalgae to produce biodiesel.

机译:微藻生产生物柴油的培养优化和建模。

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摘要

Microalgae has shown to be an ideal choice for biofuel industry. Algae has high oil productivity, a short growth cycle and survives in a wide variety of water sources including high salinity and waste water. For this project, four different species of marine microalgae were screened based on oil content. They were Dunaliella tertiolecta (CCMP364), Nannochloropsis gaditana (CCMP527), Tetraselmis sp (CCMP 908) and Nannochloropsis salina (CCMP1776). Experimental results showed that CCMP 527 and 1776 strains had higher lipid content and better fatty acids profile than the other two.;Further investigations were carried on CCMP 527 in order to maximize biomass productivity and lipid content. Nutrients, salinity, pH, temperature, light intensity and aging of the culture can all affect both lipid content and fatty acid profile and were investigated. Nutrient stress is the easiest way to manipulate lipid composition and increase lipid content. Hence, various carbon and nitrogen sources were investigated to determine the range and amount of substrates that may be feasible for cultivation. For supplying lipid for biodiesel production, the optimum culture conditions for strain Nannochloropsis gaditana are using CO2 enriched air bubbling, f/2-Si medium, pH control, and nitrate as the nitrogen source. Use of other fertilizers is feasible as well, however, the nitrogen source greatly affects lipid productivity, but trace amounts of organics in ground water do not.;A model which predicts cell growth, nitrogen concentration, and lipid yield in batch systems is developed that is applicable for low nitrogen conditions. Plus, a sensitivity analysis of three major parameters was done to validate how variations in these key parameters affect simulation results. The fatty acid profile as a function of time was shown not to vary from mid-exponential to stationary phase. The model describes reactor behavior well, therefore it can be applied to the genus of Nannochloropsis to predict biomass yield and lipid accumulation, and be a useful tool to optimize and compare bioreactor systems for the biofuel industry.;In addition, effects of nitrate and urea under repletion condition on microalgae growth, lipid yield and fatty acids profile for microalgae Nannochloropsis gaditana were investigated. Replacing nitrate by urea didn't show positive influence on lipid content and yield compared to normal medium. The major fatty acids for these two mediums were palmitic acid (C16:0) and palmitioleic acid (C16:1). Nannochloropsis gaditana still shows to be ideal candidate for biodiesel production using urea or nitrate enriched agriculture wastewater.
机译:微藻已被证明是生物燃料行业的理想选择。藻类具有高的石油生产率,较短的生长周期,并且可以在包括高盐度和废水在内的各种水源中生存。对于该项目,根据含油量筛选了四种不同的海洋微藻。他们是杜氏盐藻(CCMP364),纳氏拟南芥(CCMP527),Tetraselmis sp(CCMP 908)和纳氏拟南芥(CCMP1776)。实验结果表明,CCMP 527和1776菌株比其他两个菌株具有更高的脂质含量和更好的脂肪酸谱。为了使生物量生产力和脂质含量最大化,对CCMP 527进行了进一步的研究。营养物,盐度,pH,温度,光照强度和培养物的老化都会影响脂质含量和脂肪酸谱,并进行了研究。营养压力是控制脂质成分和增加脂质含量的最简单方法。因此,对各种碳源和氮源进行了研究,以确定可能可行的底物范围和数量。为了供应用于生物柴油生产的脂质,菌株Nannochloropsis gaditana的最佳培养条件是使用富含CO2的空气鼓泡,f / 2-Si培养基,pH控制和硝酸盐作为氮源。使用其他肥料也是可行的,但是氮源会极大地影响脂质的生产率,而地下水中的微量有机物却不会。;建立了一个预测批处理系统中细胞生长,氮浓度和脂质产量的模型,适用于低氮条件。另外,还对三个主要参数进行了敏感性分析,以验证这些关键参数的变化如何影响模拟结果。脂肪酸随时间变化的曲线显示,从中间指数到固定相没有变化。该模型很好地描述了反应堆的行为,因此可以应用于拟南芥属,以预测生物量的产量和脂质的积累,并为优化和比较生物燃料行业的生物反应器系统提供有用的工具。此外,硝酸盐和尿素的作用在补充条件下对微藻生长的影响下,研究了微藻Nannochloropsis gaditana的脂质产量和脂肪酸谱。与普通培养基相比,用尿素代替硝酸盐对脂质含量和产量没有积极影响。这两种培养基的主要脂肪酸是棕榈酸(C16:0)和棕榈油酸(C16:1)。 Nannochloropsis gaditana仍然显示是使用富含尿素或硝酸盐的农业废水生产生物柴油的理想人选。

著录项

  • 作者

    Ren, Ming.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Alternative Energy.;Engineering Chemical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 131 p.
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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