Microscopic algae have been investigated extensively by researchers for decades for their ability to bioremediate wastewater and flue gas while producing valuable biomass for use as feed, fuel, fertilizer, nutraceutical, and other specialty products. Reports of the exciting commercial potential of this diverse group of organisms started appearing in the literature as early as the 1940’s. However, nearly 80 years later, relatively few successful commercial microalgae installations exist and algae have not yet reached agricultural commodity status. This dissertation examines three major bottlenecks to commercial microalgae production including lack of an efficient and economical cultivation strategy, poor management of volatile waste nutrients, and costly harvesting and post processing strategies. A chapter is devoted to each of these three areas to gain a better understanding of each bottleneck as well as strategies for overcoming them.

The first chapter demonstrates the capability of two strains of Scenedesmus acutus to grow in ultra-high-density (>10 g L-1 dry weight biomass) cultures in flat panel photobioreactors for year-round production in the desert Southwest with record volumetric biomass productivity. The advantages and efficiency of high-density cultivation are discussed. The second chapter focuses on uptake and utilization of the volatile components of wastewater: ammonia and carbon dioxide. Scenedesmus acutus was cultured on wastewater from both municipal and agricultural origin and was shown to perform significantly better on flue gas as compared to commercial grade CO2 and just as well on waste nutrients as the commonly used BG-11 laboratory culture media, all while producing up to 50% lipids of the dry weight biomass suitable for use in biodiesel. The third chapter evaluates the feasibility of using gravity sedimentation for the harvesting of the difficult-to-separate Scenedesmus acutus green algae biomass followed by microfluidization to disrupt the cells. Lipid-extracted biomass was then studied as a fertilizer for plants and shown to have similar performance to a commercially available 4-6-6 fertilizer. Based on the work from these three chapters, a summary of modifications are suggested to help current and future microalgae companies be more competitive in the marketplace with traditional agricultural commodities.

The ability of microalgae to be mass cultivated and harvested for production of pharmaceuticals, nutraceuticals, and biofuels has made microalgae a focal point of scientific investigation. However, negative impacts on production are essentially inevitable due to the open design of many microalgae mass culture systems. This challenge generates a need for the consistent monitoring of microalgae cultures for health and the presence of contaminants, predators, and competitors. The techniques for monitoring microalgae cultures are generally time-intensive, labor-intensive, and expensive. The scope of this work was to evaluate the use of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) as a viable alternative for the characterization of microalgae cultures. The studies presented here evaluated whether MALDI-TOF MS can be used to: 1) differentiate microalgae at the species and strain levels, 2) characterize simple mixtures of microalgae, 3) detect changes in a single microalgae culture over time, and 4) characterize growth phases of microalgae cultures. This research required the development of a MALDI-TOF MS microalgae analysis protocol for organism characterization. The results yielded in this research showed that MALDI-TOF MS was just as accurate, if not more so, than molecular techniques for the identification of microalgae at the species and strain levels during its logarithmic growth phase. Additionally, results suggest that MALDI-TOF MS is sensitive enough to characterize simple mixtures and detect changes in cultures over time. The data presented here suggests the next logical step is the development of protocols for the near-real time health monitoring of microalgae cultures and detection of contaminants using MALDI-TOF MS.

An issue with the utilization of swimming pools is that pumps are operated an excessive number of hours to keep the pool free of debris and algae. Case in point, according to the pool industry, a pump should operate one hour for every ten degrees of ambient temperature. A dynamic model and a control strategy have been developed using Matlab/Simulink that uses environmental conditions together with chemicals that hinder or aid algae growth in order to determine algae population. This model suggests ways to function the pump on shorter time intervals to reduce energy consumption, while simultaneously maintaining algae populations at acceptable levels. Other factors included in the model are pool thermal dynamics and pool pump/filter performance characteristics, since they also have an effect algae growth. This thesis presents the first step for an alternative way of operating a swimming pool by minimizing operating costs while eliminating algae.