Kelly O’Quinn Dr. Adam Melvin Harmful Algal Blooms (HAB)-on-a-chip: Development of a microfluidic platform to study algal chemotaxis CHE 4221, Spring 2014 Project Summary Harmful algal blooms (HABs) are caused by an overabundance of microscopic algae and can have detrimental impacts on the ecosystem, the economy, and most importantly, human health. Accumulated algae begin releasing toxins to kill or ward off predators, but in massive quantities, brevetoxins are produced in much higher concentrations. Sometimes fish are exposed to the toxins in low enough amounts that they survive, but still carry the toxin in their bodies. When fish become poisoned by these algal toxins they have the potential to kill any predator that consumes them, including humans. Aerosolized toxins, when inhaled by humans, lead to respiratory illnesses. HABs mainly affect the coastal ecosystem and the people living there. However, every region of the world has some type of coast, along an ocean or a lake that can be affected by HABs. This overabundance of algae can be attributed to both migration and reproduction of algae, which both play a large role in causing harmful algal blooms. The main forces that induce algal migration are still unknown. Algae migration happens for a variety of reasons. They typically travel upward during the day in response to light for carbon fixation and travel back down toward the ocean floor at night for nutrient consumption. This is called diel vertical migration. However, the algae also migrate at different times and in response to different stimuli. This project aims to study the migration of algae to better understand the patterns and underlying causes of HABs. Very little research on algae migration has been done on this scale to examine interactions between algae and other environmental factors. Some experiments have been done using homogeneous tanks, which lack dynamic control, to test algal migration, but few focusing on the single-cell migration patterns and interactions between algae and nutrients. This allows for precise spatial and temporal control of the system. Additionally, past experiments have failed to provide environments similar to those found in the ocean, e.g. gradients of nutrients and variations in temperature, salinity, and light. By designing a microfluidic device, algal migration will be monitored due to the influence of several environmental conditions. Different types of nitrogen-based nutrients (nitrate, urea, and ammonia) will be added to the algae culture chamber of the device, and the migration of algae in the migratory chamber will be monitored on the single cell level. Other external variables like salinity, light, and temperature, will then be altered to evaluate algal migration. By observing these migration patterns, which factors are most prominent in inducing algae migration can be determined. After determining these factors, we will be able to prevent future HABs from occurring. The first objective of the project is to design and develop the microfluidic device. It will be designed in AutoCAD and fabricated using techniques of soft lithography. The next objective will be to characterize the new device to ensure it develops stable and well controlled gradients. This will be accomplished using fluorescent tracers. The last objective will be to observe and analyze algal migration in response to varied environmental conditions such as changes in temperature, salinity, light, nutrient concentrations, and types of nutrients. Background Harmful algal blooms (HABs) are caused by an overabundance of microscopic algae accumulated at the surface of the water. These blooms occur mainly in coastal ecosystems and can have detrimental impacts on the ecosystem, the economy, and human health.1 Several factors contribute to an overabundance of algae, including algal reproduction and migration. One of species of algae that causes harmful algal blooms is the dinoflagellate Karenia brevis. This species is responsible for the Red Tides in the Gulf of Mexico.2 K. Brevis is very well adapted to its environment and can survive in nutrient-poor coastal areas.3 Until recently, people thought blooms were caused simply by a rapid multiplication of algae. Sometimes, blooms occur too quickly to be attributed solely to the reproduction of algae.4 It is now hypothesized that blooms are caused partly by the migration of algae to the water surface. Algal migration is a combination of many factors. However, there is a lack of understanding of what most prominently induces the algae to migrate and thus contribute to HAB occurrence. When HABs occur, they can cause harmful impacts on the ecosystem, surrounding organisms, and the economy. Accumulated K. Brevis will begin releasing brevetoxins (a neurotoxin), to kill or ward off predators; but when a massive population of the algae congregates, the toxins are released in much higher concentrations, leading to harmful implications. This toxin is responsible for neurotoxic shellfish poisoning (NSP).3 Sometimes, fish are exposed to the toxin in small enough quantities that they survive but still carry the toxin in their bodies. When fish become poisoned by algal toxins, they gain the potential to kill predators that consume them, including humans. Additionally, these toxic fish and fish in the surrounding area cannot be sold, damaging the fishing industry, and thereby the local economy. Furthermore, aerosolized toxins, when inhaled by humans, lead to respiratory Figure 1: Algal migration in response to various external factors: illnesses. HABs have severe temperature, salinity, nutrients, and light. implications on the health of organisms in surrounding coastal areas. Therefore, there is a need to determine how HABs occur and how they can be stopped. Understanding the external forces that drive algae to migrate is a key factor in understanding the underlying cause of harmful algal blooms. K. Brevis are mixotrophic organisms, obtaining energy both from photosynthesis and organic nutrient consumption. Thus, they are both heterotrophic and autotrophic. These algae use their flagella to swim through the water up to a speed of 1 m/hr. They are in constant motion both in response to external factors as seen in Figure 1 and random motion when no stimulus is present. This type of random motion is called a random walk. Chemotaxis is the movement of an organism in response to a chemical stimulant. Algal cells can migrate using their flagella allowing them to swim in any direction. When gradients are present, this directs the movement of the cells rather than swimming randomly as shown in Figure 3. Cells move toward attractants, and away from repellants in chemotaxis. Algae cells make two major migrations daily as shown in Figure 2. This is called diel vertical migration. Algal Figure 2: Diel vertical migration. Algae swim upwards toward the light source during migration upward during the the day (phototaxis), and downward toward the nutrient source at night (chemotaxis). day toward the sun for carbon fixation is called phototaxis. This is similar to chemotaxis but the motion is a response to light rather than to a gradient of nutrients. Migration downward at night toward nutrients on the ocean floor is a chemotactic response to organic nutrients.5 The algae photosynthesize sunlight during the day, and consume nitrogen and phosphorous based nutrients present on the ocean floor at night. Algae migrate in response to many other factors as well, including temperature and salinity gradients.6 In order to study how algae migrate in the ocean, a method to form an environment similar to that found in the ocean is needed. This includes generating gradients of external stimuli like those of nutrients and salinity. To do this, a technology must be developed that allows for the study of algal migration by generating steady gradients. A technology capable of producing and maintaining steady gradients has not yet been successfully designed and used. Therefore, successful gradient generators are the next technology necessary for studying algal chemotaxis. Gradients are important with respect to migration because the ocean is not a uniform system; ocean water contains varying concentrations of nutrients, salinity, temperature, and light. In the past, research on this subject was Figure 3: Cells placed in the center chamber will migrate in response to the attractant or repellent conducted using fed into the device. When no source is placed into the channel, the cells will exhibit a random walk behavior. homogeneous tanks lacking dynamic control to observe algal migration patterns. Homogeneous tanks contain fluids uniformly mixed throughout. However, the ocean is not a homogeneous system; it contains gradients of light, temperature, and salinity, that all flux simultaneously. Therefore, it is best to develop a new technology that will be capable of generating gradients that more accurately replicate gradients found in the ocean. For the study of gradient-driven algal migration, we will design, fabrication, and characterize a microfluidic device. Microfluidic devices are beneficial for this type of research because it uses such a small volume of fluid and allows for the spatial and temporal control of the system. In microfluidics, the flow is laminar; therefore, all of the mixing of liquids occurs by diffusion in the channels. Diffusion occurs when there is a concentration gradient, i.e. nutrients in a highly concentrated area will move to an area of low nutrient concentration. Thus, a gradient of nitrogen-based nutrients is generated and observations of how the algae move in response to the gradient can be made. Microfluidics also allows for the single-cell tracking of the algal cells. Single-cell tracking can be accomplished through the use of time-lapse imaging. This is important for understanding of how the organism moves on an individual cell level. The exact rate the cells migrate can be monitored by observing single cells of algae migrating. How sharp or intense the gradient is can also affect the manner in which the cells move. The algae will move toward an attractant (positive chemotaxis) and away from a repellant (negative chemotaxis) as seen in Figure 3. Several types of microfluidic devices have been proposed for the study of cell chemotaxis; however, these have been unable to generate steady, well-controlled, and consistent gradients. These devices were difficult to make because of their complicated design or inability to create stable gradients for long-term research.9 Microfluidic devices have been successfully used in applications of screening for toxicity in marine microalgae and observing bacterial chemotaxis.7,8 They have also been successfully implemented in the study of Escherichia Coli chemotaxic response to an attractant, α-methyl-DLaspartate. Cheng et al developed a diffusion-based device capable of producing steady gradients to observe the E. Coli migration. 9 Research Objectives Although we know algal migration occurs, the factors and variables that are most prominent in causing algae to migrate and thus cause harmful algal blooms are Figure 4: Three-channel device. Cells will be placed in the center unknown. The goal of this project is to channel, the top channel will be loaded with a source solution (nutrients) and bottom channel containing the buffer solution. determine the way in which algae migrate and which external conditions (nitrogenbased nutrients, salinity, temperature, and light) most strongly impact that migration. Our first objective will be to design, fabricate, and characterize a microfluidic device capable of studying algae migration as shown in Figure 4. This device will create the gradients of nutrients needed to observe migration toward the high concentration of nutrients. We will create a three-channel device with a flow-free center channel. The cells will be placed into this channel. It is important that the center channel is flow-free because flow is a variable that affects the motility of free-swimming algae cells. The flow could cause a temporary variation in the gradients, causing an inconsistency in the measurements.10 It will be certain that the migration occurs by cell chemotaxis rather than forced flow movements. A benefit of using flow-based gradient generators is that the gradient can be developed very quickly. However, it is difficult to separate the flow movement of algae from the gradient directed migration of algae.9 The top channel of our device will contain the source, and the bottom channel, a buffer solution. In the device, the gradient will be generated across the top and the bottom channels and the cells placed in the center flow-free channel will be able to migrate toward or away from the gradient. The nutrients will diffuse through the channels to the buffer channel. The device will be designed in AutoCAD and fabricated using soft lithography. We will then characterize the new device to Figure 5: Previous work showing the tracers as a ensure it develops stable and well controlled gradients. generated gradient in the device. These This will be accomplished using fluorescent tracers. The fluorescent tracers are visible under UV light, tracers will be visible under UV light, so we will be able making them useful for tracking gradient formation. to observe the tracer creating the gradients we are looking for as shown in Figure 5. This figure shows the gradient of the tracer forming in the device. Lastly, we will observe and analyze algal migration in response to different nitrogen-based nutrient gradients. These nutrients will include nitrate, urea, and ammonia. This research will also include the study of other varied environmental conditions including temperature, salinity, and light. By altering the salinity of the buffer solution, we can observe how the algae cells migrate in response to gradients of salinity. These are main gradients that are present in the ocean, and therefore need to be altered in these experiments to understand algae migration patterns in the ocean. Then we will be able to determine the most prominent forces or group of forces that cause harmful algal blooms to occur. After obtaining the knowledge of which factors are most prominent in algae migration, we can be better equipped to handle future harmful algal blooms and target the underlying problem of algae migration. Proposed Work This project aims to study algal migration patterns and movements using a microfluidic device. With this device, single cell movements of algae can be observed in order to precisely determine migration patterns of algae and how they migrate with respect to different types of gradients. This includes different nitrogen-based nutrients (ammonia, urea, nitrate) and variations in intensity and steepness of the gradient. Microfluidic devices were chosen for this study because past techniques for studying algal migration were not effective at generating gradients. Other devices lacked the ability to create steady, well-controlled gradients. They also were complicated in design and lacked the ability to sustain these generated gradients for long-term study.11 This new technology allows for Figure 6: A top view of the microfluidic device. The center channel is precise dynamic control of the system flow-free and will contain the algae cells. The top channel will contain the in order to effectively analyze cell nutrient flow, and the bottom channel will contain the sink, or buffer, migration with respect to gradients of flow. nitrogen-based nutrients like those found in the ocean. The objectives of this project are 1. make the three-channel microfluidic device, 2. characterize the device, 3. implement the device for study of algal migration. Objective 1: The first objective of this project is to design a threechannel microfluidic device in order to study algal migration across gradients. The design of the device will be done using AutoCAD. The channels will be 600μm wide and spaced 200μm apart as shown in Figure 6. The channels will be 10 mm long and 50μm high. The source channel will be the top channel and the sink channel will be the bottom channel. This design in AutoCAD will cover the dimensions and placement in the x-y plane. The migratory channel will be flow-free meaning there will not be flow of cells in that channel. The cells will be placed in the channel and allowed to migrate freely toward or away from the gradient. This is an important design constraint because this will ensure that the device is allowing the cells to migrate chemotactically and not forcing migration from the flow in the center channel.12 Using soft lithography techniques, the zdimension, or height, will be added to the channels. It is important Figure 7: Steps of fabricating for the channels to be relatively low in height to eliminate a the 3 channel device. potential bias of the cells migrating toward the light source. After designing the device, it will be fabricated using soft lithography and polydimethylsiloxane (PDMS) replication techniques as seen in Figure 7. PDMS has the advantage of low cost and simplicity of creating new devices. It is a cheap material and all the devices are made with the same mold with each replication. First, a silica wafer is spin coated with a photoresist (SU-8, MicroChem) layer on top. SU-8 is a polymer that when exposed to UV light, the polymers crosslink, solidifying the material. With the device design placed on top, it will be exposed to UV light then baked. The wafer will then be placed in SU-8 developer in which only the cross-linked polymers remain and the SU-8 left on the wafer will dissolve in solution. PDMS will be poured over the mold then peeled off. The holes will be punched all the way through the PDMS layer for the inlet and outlet flow tubes to be inserted. The holes will be punched using the desired thickness of tubing that will be used to input the flow. This PDMS layer will be adhered to a 3% agarose layer. The diffusion will occur beneath the channels, through the agarose, from the source channel across the Figure 8: A side view of the device. The PDMS layer will be adhered to the agarose cell channel to the sink layer then to the glass slide. The tubing will be inserted into each flow channel inlet channel. The channels will and outlet location. be loaded by inserting tubes into the channel openings and placing a loaded syringe into the tube and injecting the source or buffer into the desired channel. By using a syringe pump, the flow rate in each channel can be controlled. The cells will be injected the same way, but no flow will be introduced into this channel. The orientation of the layers, channels, and tubes can be seen in Figure 8. This process also has the benefit that new designs are easy to make. There is quick turnaround if a new photomask design is needed. By designing a new device, a new photomask can be obtained within a few days, and there will be a new mold to work with. This simplifies the process of altering the design. Objective 2: The second objective is to characterize the device using fluorescent tracers to observe the gradient generation in the device. The red fluorescent dye, rhodamine dextran will be used as a tracer to observe the creation of the gradient across the channels. The tracers absorbs light energy at one wavelength (excitation) and emits is at a longer wavelength (emission), making it visible with fluorescent microscopy. In Figure 9, the red bar indicates a line scan taken in Image J. Image J analyzes images by correlating the intensity of the pixels with the Figure 9: Previous work with a gradient generator concentration of the gradient at each location. This that still had flow bias in the migratory channels. This shows a line scan in ImageJ. In the graph, the characterization technique will be supplemented with increase in intensity of fluorescence can be seen models in COMSOL. With this software, boundary shifting across the channels over time. layers can be established and flow in the channels can be detailed. COMSOL contains a microfluidic module that will be used to model gradient generation in the channels. Objective 3: The third objective is implementing the device in studying algal migration in response to different types of gradients. These include variations on types of nutrients, steepness, and intensity. The first algal species studied will be the unicellular Chlamydomonas reinhardtii. This species will be studied first because it is very easy to work with and there has been extensive study about it. This species has a quick generation time and can survive in a variety of different environments, thriving in both light and dark.13 Both flow channels of the device will be loaded first. The gradient will take about an hour to develop, similar to that of the device used by Cheng et al. After a steady gradient is formed, the algae will be loaded into the center, flow-free channel while minimally disrupting the gradient. By observing the COMSOL models and the tracers’ movement over time, it is possible to track the generation of the gradient over time. Then, the changes in the gradient over time will be tracked by mixing the tracers with the source so the motion of the gradient can be visibly tracked. The source will be the nutrients in the channel, and the cells will migrate toward this developed gradient of nutrients. Different types of nitrogenbased nutrients will be used as the source. The algal movement and gradient generation will be compared every minute for about an hour using fluorescent microscopy with a red filter so the cells are visible. The pigmentation in the cells allows them to be seen with a red filter. The cell migration can be analyzed by assigning signaling vectors to the step the cell takes at each time interval. The average of these vectors can be taken for correlation between different experiments.14 After analyzing C. reinhardtii migration in the device, the process can be repeated with K. Brevis because this is the species of interest. Since C. reinhardtii can survive in such a wide range of conditions, it will likely migrate differently than K. Brevis, which has a smaller range of acceptable survival conditions. Cell density to be loaded will be experimentally determined, but it will likely be around 10,000 cells/mL. This number ensures that the cells are not over crowded in the channel. The average algal velocity is about 278μm/s.15 Depending on the velocity of the specific species in each condition, the length of each experimental run will be determined. An advantage of this device is dynamic control of the system. Dynamic control encompasses spatial and temporal control. This is important to have in the system in order to alter precise parameters in the device to examine the cells migrating in various situations. The type of gradient (variations on intensity and steepness and altering type of nutrient) can be changed during the experiment or the gradient can be removed completely. To stop the source flow and allow the gradient to die down would remove the flow. To change the intensity of the gradient, the starting concentration of the source flow can be altered, and to change the gradient steepness, the flow rate can be altered. These experiments will be repeated at high and low temperatures, high and low light intensities, and high and low salinities. The goal is to determine the most prominent factors of these: salinity, temperature, light, nutrients that cause algal migration in the ocean. This will be important in determining what the forces are that are most likely to induce algal migration. Design of Experiment (DOE) can be implemented to analyze the significance of different environmental factors and constraints of the device. Analysis of Variance (ANOVA) can be used to examine the variance among or between groups of experiments. To characterize migrating cells, chemotactic index and directional persistence will be evaluated. Chemotactic index is the ratio of the movement of each cell in the direction of the gradient to the total distance moved by the cell in a given time frame.16 During this research, several iterations of designs of the device may need to be tested before finding the proper device for studying algal migration. The length of each channel and the distance between each channel may need to be optimized for maximum algal migration observation. Additionally, the technique to adhere the agarose layer to the PDMS layer may need to be altered multiple times to get optimum results. There are several options to adhere the PDMS layer to the agarose layer. This includes building a Plexiglas box that will apply enough pressure to hold the two layers together. Another option involves sucking out the air inside the channels, applying negative pressure which seals the layers together. Alternatively, other materials beside PDMS may be used like a thiol-ene resin that is naturally more hydrophilic than PDMS.17 Another option is treating the PDMS with silanes as an adhesive between the glass slide and the PDMS. Additionally, a few factors must be determined experimentally, including the cell density to load and the best way to add them to the channel without disrupting the gradient much. The time intervals and time to develop the gradient will be experimentally determined and validated with the model in COMSOL. Accomplishing these objectives will provide us with the knowledge of which naturally occurring factors in the ocean are the ones most responsible for causing algae to migrate and thereby cause HABs to form. This provides us with the understanding of what forces will need to be controlled in order to stop HABs from occurring. Broader Impacts The identification of the most prominent forces that cause algal chemotaxis will help in the understanding of how HABs form and what can be done to stop them from occurring. Because this project involves the development of a new technology, this three channel microfluidic device can be used to advance the study in other fields since it can be used for applications of other cell chemotaxis, not just algae. These types of devices have been implemented for use in E. Coli migration observation in response to α-methyl-DL-aspartate.18 They have also been used to study a foodborne pathogen’s migration in response to acetic acid, and shown that acetic acid can be used as a microbial agent by the food industry.19 The scientific community will benefit from the development of a flow free microfluidic device capable of developing steady gradients because it allows for precise dynamic control. All cells migrate differently in different gradients; therefore, this device can be altered to be specific to whatever type of cells is being studied. If this research is successful, the common citizen would benefit from fewer occurrences of HABs, leading to less likelihood of human illnesses caused by algal toxins or consuming toxic shellfish. References Donald M. Anderson, Allan D. Cembella, and Gustaaf M. Hallegraeff, “Progress in Understanding Harmful Algal Blooms: Paradigm Shifts and New Technologies for Research, Monitoring, and Management,” Annu. Rev. Mar. Sci. 2012, 4, 143-176 1 Walsh, J. J. et al. “Red tides in the Gulf of Mexico: Where, when, and why?” J. Geophys. Res., 2006, 111, C11003 2 Karen A. Steidinger, “Historical perspective on Karenia brevis red tide research in the Gulf of Mexico,” Harmful Algae, 8, 2009, 549–561 3 R. N. Bearon, D. Grünbaum, R. A. Cattolico, “Effects of salinity structure on swimming behavior and harmful algal bloom formation in Heterosigma akashiwo, a toxic raphidophyte,” Mar. Ecol. Prog. Ser., 2006, 306, 153-163 4 5 Blake A. Schaeffer, Daniel Kamykowski, Geoff Sinclair, Laurie McKay, Edward J. Milligan, “Diel vertical migration thresholds of Karenia brevis (Dinophyceae),” Harmful Algae, 8, 2009, 692–698 Van Dolah, F.M., et al., The Florida red tide dinoflagellate Karenia brevis: New insights into cellular and molecular processes underlying bloom dynamics. Harmful Algae (2009), doi:10.1016/j.hal.2008.11.004 6 Guoxia Zheng, Yunhua Wang, Zumin Wang, Weiliang Zhong, Hu Wang, Yajie Li, “An integrated microfluidic device in marine microalgae culture for toxicity screening application,” Marine Pollution Bulletin, 2013, 72, 231-243 7 Tanvir Ahmed, Thomas S. Shimizub, Roman Stocker, “Microfluidics for bacterial chemotaxis,” Integr. Biol., 2010, 10, 604-629 8 9 Shing-Yi Cheng, Steven Heilman, Max Wasserman, Shivaun Archer, Michael L. Shuler and Mingming Wu, “A hydrogel-based microfluidic device for the studies of directed cell migration,” Lab Chip, 2007, 7, 763-769 Tanvir Ahmed, Thomas S. Shimizu, and Roman Stocker, “Bacterial Chemotaxis in Linear and Nonlinear Steady Microfluidic Gradients,” Nano Lett. 2010, 10, 3379-3385 10 11 Shing-Yi Cheng, Steven Heilman, Max Wasserman, Shivaun Archer, Michael L. Shuler and Mingming Wu, “A hydrogel-based microfluidic device for the studies of directed cell migration,” Lab Chip, 2007, 7, 763-769 Tanvir Ahmed, Thomas S. Shimizu, and Roman Stocker, “Bacterial Chemotaxis in Linear and Nonlinear Steady Microfluidic Gradients,” Nano Lett. 2010, 10, 3379-3385 12 Merchant SS et al, “The Chlamydomonas genome reveals the evolution of key animal and plant functions,” Science, 2007, 318, 245-50 13 Michael C. Weiger, Shoeb Ahmed, Erik S. Welf, Jason M. Haugh, “Directional Persistence of Cell Migration Coincides with Stability of Asymmetric Intracellular Signaling,” Biophys. J., 2010, 98, 67–75 14 15 Blake A. Schaeffer, Daniel Kamykowski, Geoff Sinclair, Laurie McKay, Edward J. Milligan, “Diel vertical migration thresholds of Karenia brevis (Dinophyceae),” Harmful Algae, 8, 2009, 692–698 Adam T. Melvin, Erik S. Welf, Yana Wang, Darrell J. Irvine, and Jason M. Haugh, “In Chemotaxing Fibroblasts, Both High-Fidelity and Weakly Biased Cell Movements Track the Localization of PI3K Signaling,” Biophys. J., 2011, 100, 1893-1901 16 17 Christopher O. Bounds, Jagannath Upadhyay, Nicholas Totaro, Suman Thakuri, Leah Garber, Michael Vincent, Zhaoyang Huang, Mateusz Hupert, and John A. Pojman, “Fabrication and Characterization of Stable Hydrophilic Microfluidic Devices Prepared via the in Situ TertiaryAmine Catalyzed Michael Addition of Multifunctional Thiols to Multifunctional Acrylates,” ACS Appl. Mater. Interfaces, 2013, 5, 1643−1655 18 Shing-Yi Cheng, Steven Heilman, Max Wasserman, Shivaun Archer, Michael L. Shuler and Mingming Wu, “A hydrogel-based microfluidic device for the studies of directed cell migration,” Lab Chip, 2007, 7, 763-769 19 Evan Wright, Suresh Neethirajan, Keith Warriner, Scott Rettererc and Bernadeta Srijanto, “Single cell swimming dynamics of Listeriamonocytogenes using a nanoporous microfluidic platform,” Lab Chip, 2014, 14, 938-946 Kelly O’Quinn EDUCATION Louisiana State University (LSU), Baton Rouge, LA May 2015 Bachelor of Science in Chemical Engineering Cumulative GPA: 3.51 EXPERIENCE: Undergraduate Lab Assistant, Dr. Michael Benton, LSU January 2014 – present Baton Rouge, LA Perform experiments involving genetic engineering of cyanobacteria for biofuel use Prepare media for yeast, conduct gel electrophoresis, perform polymerase chain reaction (PCR) Research Intern, Gulf of Mexico Research Initiative (GoMRI), LSU Baton Rouge, LA May 2013 – August 2013 Presented research at end of summer symposium at Tulane University, New Orleans Worked side-by-side with chemical engineering graduate students Performed lab work testing a rapid screening process for PHA production in cyanobacteria species Participated in science outreach activities for 1st through 5th graders HONORS Shell Oil Company Technical Scholarship, BASF Academic Excellence Scholarship, Gulf of Mexico Research Initiative Grant, Academic Scholars Resident Award, Chancellor’s Student Aide Job, Pegues Engineering Scholarship, Junior League Scholarship for Seniors, Tuition Opportunity Program for Students (TOPS) ACTIVITIES Wesley Foundation Methodist Campus Ministry, Distinguished Communicator Candidate, Society of Peer Mentors (Treasurer 2014), Engineers Without Borders-LSU, Engineering Council (AIChE representative Fall 2013), Society of Women Engineers, American Institute of Chemical Engineers (Treasurer 2014, car team member), Alpha Lambda Delta Honor Society, Phi Eta Sigma Honor Society Facilities and Equipment Equipment present in the Melvin lab at LSU includes a photoresist spinner, and a UV exposure system. If the spin coater is not working in this lab, the LSU CAMD microfabrication lab has a Headway Research Photoresist Spinner. The Benton lab at LSU includes a Forma Scientific incubator for culturing the algal cells and a bench top VWR VistaVision inverted microscope for observing the fluorescent tracer movement in the device. AutoCAD, necessary for device design, and MATLAB, required for quantifying the migrating algae, are both available for free use on LSU campus computers in Patrick F. Taylor hall. Dr. Nandakumar, in the chemical engineering department at LSU, has a license to COMSOL which is necessary for modeling the gradients in the device.