1. Immunomodulatory Nanovaccines Against Infectious Diseases – Experimental
Mentor: Balaji Narasimhan
We have designed novel biodegradable amphiphilic polyanhydrides that have the ability to enhance the immune response and stabilize protein antigens. These capabilities have important implications for the design of single dose vaccines for diseases ranging from cancer and HIV to anthrax and plague to tetanus and diphtheria. We have fabricated nanoparticles based on sebacic acid (SA), 1,6-bis(p-carboxyphenoxy)hexane (CPH), and 1,8-bis(p-carboxyphenoxy)3,6-dioxaoctane (CPTEG) and demonstrated the stability and immunogenicity of antigens released from these nanoparticles. Our overall goal is to understand the cellular and molecular mechanisms by which these polymeric nano-adjuvants enhance and activate host immune responses. This work will be in collaboration with Professors Wannemuehler and Bellaire from the Veterinary Microbiology and Preventive Medicine department at ISU.
Example REU Project: Two REU students will learn to fabricate antigen-loaded nanoparticles (200-800 nm) using CPH:SA and CPTEG:CPH copolymers. The antigens of interest include ovalbumin, F1-V (plague antigen), influenza hemagglutinins, and rPA (recombinant protective antigen against anthrax). The students will learn to characterize these nanoparticles using electron microscopy and a Zetasizer (for size distribution). One REU student will study how the blank nanoparticles (i.e., no antigen) are uptaken by antigen presenting cells of the immune system using confocal laser scanning microscopy. The second REU student will immunize mice with these antigen-loaded nanoparticles with the appropriate controls. The immune response in these animals will be characterized using both antigen-specific antibody responses and T and/or B cell proliferative responses. Together, all these studies will provide molecular and cellular information about how polymer chemistry enhances and activates host immune responses. This project will expose the students to nanotechnology, materials science, biochemistry, animal studies, and applied immunology.
2. Drug and Gene Delivery – Experimental
Mentor: Surya Mallapragada
The Mallapragada group has designed and synthesized novel smart bioinspired multi-block copolymers that exhibit pH and temperature sensitivity. These polymers are ionic and undergo thermoreversible gelation at body temperatures. Above a critical gelation temperature and polymer concentration, the micelles formed by the multi-block copolymers described above self-assemble to form macroscale thermoreversible physical gels. Since the critical gelation temperatures are close to physiological temperatures, these polymers can be used as injectable delivery devices and have significant advantages over other crosslinked stimuli-sensitive hydrogels that have been investigated. These physical gels eventually dissolve in the body. These polymers are ideal candidates for self-regulating systems for drug delivery. These cationic polymers exhibit complexation with DNA and serve as excellent injectable controlled gene delivery vectors, with selective transfection in fast growing cells such as cancer cells as opposed to normal cells.
Example REU Project: The REU student will investigate transfection of reporter gene in co-cultures of cancer and normal cells using the novel pentablock copolymer. Furthermore, this transgene system is also serum resistant and able to be injectable for sustained release, which makes it promising as an ideal sustained transgene vector. The student will investigate transfection using both dissolved vector as well as high enough concentrations where the vector forms polyplex gels which will dissolve slowly to release polyplexes. Through this experience, the student will learn 1) cell culture and sterile technique 2) transfection techniques 3) working in an interdisciplinary environment integrating engineering and biological approaches.
3. Hyperspectral Imaging of DNA and Protein-Linked Metal Nanoparticles – Experimental
Mentor: Andrew Hillier
The Hillier group focuses on synthesis and characterization of nanoscale materials with an emphasis on novel and highly tunable optical phenomena associated with these systems. Our recent efforts have exploited nanostructures that exhibit surface plasmon resonance for high fidelity sensing. Sensors based on surface plasmon resonance (SPR) have become increasingly popular as a label-free method for measuring the binding of analytes to functionalized surfaces and in the detection of immobilized biomolecules. SPR sensing has been exploited in the development of immunosensors, advancing proteomics, accelerating drug discovery, monitoring DNA hybridization, and detecting protein-DNA interactions. One of the key attributes of SPR sensing is that it gives a direct signal related to local binding, and eliminates the complex labeling/conjugation steps required of competing techniques that utilize fluorescently labeled molecules in detection assays. Noble metal nanoparticles can be used as precise markers for SPR-based sensing in that they give a strong optical response, and can also be tracked individually. The overall goal of this research is to assist in developing a hyperspectral imaging tool that can be used to detect the spectral signature of individual and collections of metal nanoparticles as they bind to and assemble into complex hybrid structures with biological macromolecules, such as DNA.
Example REU Project: The REU student will assist in the development and testing of a hyperspectral imaging system for the analysis of metal nanoparticles in isolation and in the presence of DNA and a selection of binding proteins. An optical microscopy system will be modified to allow multi-color imaging and high resolution spectroscopy in order to track the optical response of gold and silver nanoparticles bound to surfaces or suspended in solutions. This project integrates nanotechnology, optics, microscopy, and analytical chemistry.
4. Competition Between Soluble and Extracellular Matrix Signals During Cell Migration – Experimental
Mentor: Ian Schneider
During tumor metastasis, carcinoma cells migrate out of the tumor into the surrounding tissue. They do this by sensing gradients of soluble proteins such as epidermal growth factor (EGF) and organized fibers of insoluble extracellular matrix (ECM) proteins such as collagen. Both EGF and collagen induce underlying intracellular processes that critically regulate cell migration. One example of an intracellular process controlled by EGF and collagen is the formation and remodeling of focal adhesions. Focal adhesions are intracellular macromolecular protein complexes that facilitate adhesion to ECM and allow the cell to generate traction before pulling itself forward. Another example is protease activity that allows cells to eat through dense ECM that surrounds normal tissue. We are interested in understanding how both EGF and collagen controls the remodeling of focal adhesions and the degradation of ECM during cell migration. The goal is to independently vary the spatial and temporal presentation of soluble proteins and ECM using engineering tools: soft lithography, electrospinning, epitaxial growth, magnetic matrix alignment and microfluidics. These tools will be used in conjunction with fluorescent biosensors and live-cell light microscopy techniques that allow for the visualization of focal adhesion dynamics, protease activity and cell migration. Understanding how EGF and collagen cooperatively or antagonistically affect dynamic intracellular processes during cell migration will lead to a better understanding of cancer metastasis.
Example REU Project: Carcinoma cells will be seeded in 3D collagen networks with varying degrees of fiber orientation. Gradients of EGF will be applied in different orientations with respect to the fiber alignment forcing the cell to choose between preferred directional cues. The REU student will learn how to align 3D collagen networks and culture cells in those networks. Additionally, they will analyze the migratory behavior of cells as well as the intracellular processes of adhesion turnover and localized protease activity. Cells will express green fluorescent protein tagged paxillin, a putative focal adhesion protein. Additionally, a quantum dot-based protease biosensor can be added to the 3D matrix to measure protease activity. This project will expose students to collagen fiber polymerization and alignment techniques, molecular and cellular biology and quantitative light microscopy.
5. Model Validation for Photosynthetically Active Radiation Transport in Algal Photobioreactors – Computational
Mentor: R. Dennis Vigil
In recent years concerns about dwindling petroleum reserves, geopolitical instability, and the linkage of global climate change to large-scale use of non-renewable fossil fuels has led to increased effort to develop renewable replacements for petroleum-derived chemicals and transportation fuels. The cultivation of microalgae or other phototrophs for producing biorenewable chemicals and fuels is particularly attractive because these aquatic systems offer several important advantages over terrestrial biomass, such as noncompetition with food agriculture, lower water demand, and significantly higher fuel yield potential due to solar radiation photoconversion efficiencies five times higher than land-based crops. Nevertheless, large-scale deployment of algaculture for partial replacement of petroleum products requires many technological advances including drastic improvements in the efficiency and scalability of processes and equipment for culturing algae and separating products.
This project will partially address the need for improved process engineering and scaleup by developing and validating better models for computational simulation of the complex interplay between hydrodynamics and radiation, which are crucial factors determining the performance and scalability of algal photobioreactors. In particular, algae growth rates and intracellular metabolic processes responsible for product yield and selectivity depend sensitively on light distribution and cell exposure history, as well as on the transport of nutrients and products to and from the cells. In turn, algal cell concentration and pigmentation strongly influence light distribution and species concentrations in both the gas and liquid phases.
The importance of accurately simulating the coupling between radiation energy transport and fluid mixing also springs from the fact that algae growth rates can be significantly influenced by the characteristic frequency that cells are exposed to lighter or darker regions within the reactor. Specifically, rapid light/dark exposure cycles (> 10 Hz) produce the “flashing light effect” whereby cell growth rates can be elevated 50-100% above the growth rate observed under conditions of constant illumination (at the same incident light intensity), apparently via synchronization of high speed photochemical reactions with less rapid thermochemical reactions. On the other hand, exposure of algae to low frequency cycles (< 1 Hz) of light and dark has a deleterious effect on growth rate compared to constant illumination at the same intensity.
Example REU Project: In view of the above considerations, it is evident that the rational design and scale-up of photobioreactors requires at a minimum the development of modeling tools that incorporate the following elements: (1) a two-phase computational fluid dynamics (CFD) code that can accurately predict the distribution of gas and liquid phases in the reactor, as well as intraphase mass transport of nutrients in the aqueous growth media and interphase transport of important reactants between gas bubbles and liquid growth media, such as oxygen and carbon dioxide; (2) a detailed light transport model; (3) a Lagrangian particle tracking simulation to predict the light history of microorganisms; and (4) a kinetic growth model for the microalgae. The REU student will develop and validate the first three of these essential elements of a comprehensive photobioreactor model.
6. Contribution of Membrane Proteins to Microbial Robustness – Experimental
Mentor: Laura Jarboe
The Jarboe group has identified a variety of naturally-occurring sequence variations that impact the membrane characteristics the model organism Escherichia coli. One of these variations occurs within outer membrane protein A (OmpA), a protein that has previously been implicated in microbial attachment and in pathogenesis. Another of these variations involves the global regulator CsrA. This variation has been shown to substantially improve the resistance of the E. coli membrane to biomass-derived inhibitors and thus may useful in improving the production of biorenewable fuels and chemicals.
Example REU Project: The REU student will characterize bacterial strains expressing the different protein variants, with the goal of understanding the relationship between the protein sequence variations and the microbial characteristics. Characterization will include survival in a variety of conditions, membrane integrity and production of model biorenewable compounds. Some strain engineering may also be performed and/or preliminary bioinformatic analysis, such as modeling the impact of sequence changes on protein structure.
7. Thermal Deconstruction of Biomass – Experimental
Mentor: Robert Brown
We are exploring the thermal deconstruction of lignocellulosic biomass into sugars, phenolic oil, and acetate. This contrasts with biological deconstruction, which uses enzymes and microorganisms to separate carbohydrate and lignin from plant fibers. The thermal pathway offers a faster and less expensive pathway to deconstruction, the first step in converting biomass into biofuels and biobased products. The goal is to produce high yields of monomeric building blocks from both the carbohydrate and lignin. We have demonstrated that fast pyrolysis, which is the rapid heating of biomass in the absence of oxygen, can produce anhydro monosaccharides (dehydrated sugars) from both cellulose and hemicellulose. Success depends upon blocking the catalytic activity of naturally occurring alkali and alkaline earth metals in biomass, which otherwise promotes pyranose and furanose ring fragmentation, converting polysaccharides into light oxygenates instead of the preferred anhydro monosaccharides. With support from the National Science Foundation, we have recently begun fundamental studies to understand the mechanism by which plant polysaccharides are thermally depolymerized. The goal of this research is to measure the chemical kinetics of thermal deconstruction of biomass through time-resolved measurements of condensed phase reactions. Most previous studies of thermal deconstruction kinetics have measured weight loss of samples undergoing relatively slow heating, which yields little information about elementary reactions occurring in the solid biomass. This research will demonstrate the utility of Controlled Pyrolysis Duration (CPD) – Quench reactors developed at Iowa State University for studying condensed phase elementary chemical reactions.
Example REU Project: The REU student in collaboration with graduate students and research staff will conduct experiments with two versions of CPD – Quench reactors. The first, capable of investigating reactions that occur on the order of a few seconds, will be used to study unzipping of small oligosaccharides to form the anhydro-monosaccharide levoglucosan. The second, capable of investigating much faster reactions, will be used to study cracking of cellulose to oligosaccharides early in the depolymerization process. These apparatus will also be employed to study thermal depolymerization of hemicellulose and lignin. The student will learn to analyze pyrolysis products using various analytical instruments including GC/MS, GPC and HPLC.
8. The Artificial Pancreas Project – Experimental and Computational
Mentor: Derrick Rollins
Type 1 diabetics often experience extreme variations in glucose concentrations which can have long- and short-term adverse effects such as seizures, coma and organ degeneration. Studies have established that there is a need to maintain the glucose levels within a normal range to avoid complications caused by diabetes. However, initial attempts to regulate blood glucose levels using insulin infusion, multiple injections or their combinations have had limited success as they lack the ability to decide the appropriate rate and/or amount of insulin infusion based on the current metabolic state of the body. An “artificial pancreas” consisting of a continuous glucose monitor, an insulin infusion pump, and a control algorithm has the potential to improve glucose regulation by intelligently deciding the proper amount of insulin delivery at the proper time.
In this research, we are developing patient-specific dynamic, block-oriented, multivariable models that can predict how various disturbances (inputs) such as food consumption, activity and stress affect glucose concentrations. The modeling methodology chosen has the ability to determine causality even from correlated inputs, which invariably results in free-living real subject studies. Since glucose levels are highly dependent on the metabolic and physiologic states of the body, the models includes several non-invasive variables that are related to activity, stress, food consumption, etc. as inputs to the model so that the affect of their interactions can be explicitly taken into account.
Example of REU Project: The student will help with assist in our inpatient and outpatient clinical trials in data collection, processing, modeling and analysis. This work is supported by the Juvenile Diabetes Research Foundation (JDRF) and the National Institute of Health (NIH). Our partners on engineers, doctors and nurses at the Illinois Institute of Technology (IIT), the University of Ill at Chicago, and the University of Chicago Medical Center. Students on this project will have an opportunity to analyze and develop models using real subject data and could assist with our data collection with the patients in a hospital setting. Student may also have an opportunity to assist with the development of a new non-invasive continuous-time glucose monitor that uses data from an armband as shown with several sensors to measure activity and stress.
9. Polymer Properties that Selectively Target Tumor-Associated Macrophages – Experimental
Mentor: Kaitlin Bratlie
We are interested in understanding what material parameters can be exploited to discriminately deliver drugs to tumor-associated macrophages (TAMs). TAMs promote tumor growth through the release of angiogenic – blood vessel forming – molecules. These growth factors provide nutrients to the tumor and enable metastasis. TAMs are alternatively activated macrophages that can be reprogrammed to classically activated macrophages, which kill neoplastic cells through the release of cytotoxic molecules, such as tumor necrosis factor. Our goal is to determine what materials properties will allow for selectively targeting of these alternatively activated macrophages. We will examine how the cytokine expression of classically and alternatively activated macrophages changes in response to different functional groups. We will also monitor internalization of the liposomes in polarized macrophages.
Example REU Project: One to two REU student(s) will learn how to polarize macrophages into classically and alternatively activated cells. The macrophages will be cultured with functionalized liposomes. The viability of the macrophages in the presence of liposomes loaded with chemotherapeutics will be measured through a colorimetric assay. The cytokines expressed will also be studied through colorimetric enzyme linked immunosorbant assays (ELISA) to quantitatively detect the presence of antigen. The ultimate goal for this project is to examine all of the data generated through these assays and determine how the particle parameters influence the two different macrophage polarizations. This study will lay the groundwork for future studies in targeted drug delivery. The student(s) will learn 1) sterile cell culture technique, 2) scientific communication skills, 3) how to process data, and 4) how to perform biochemical assays.
10. Bacteriophages on Porous Surfaces Used for the Detection of Bacteria – Experimental
Mentor: Rebecca Cademartiri
Bacteria are everywhere and while most are beneficial some of them lead to disease in animals and humans and to the loss of food. In the R. Cademartiri lab we are looking at ways to detect the presence of bacteria, to prevent them from infecting our food, and to treat bacterial infections. We do this by combining bacteriophages, viruses that kill bacteria but are harmless to humans, and materials. Bacteriophages attack and destroy bacteria. They can be used as an alternative to standard antibiotics in a variety of systems (drinking water, food, animals and humans). While the behavior of phages towards bacteria is well studied, there is no detailed understanding of their interaction with the surface of materials. Recent progress (e.g., in drug delivery, tissue engineering) has shown that materials are becoming increasingly important in medicine, biodetection, filtration and sensing. Unraveling the interaction of bacteriophages with surfaces will be necessary to take full advantage of them in medical or environmental applications. We are working with polymers and paper using the simplest techniques possible to achieve our goals. Have you ever wondered how you could use a three-hole punch and a paper clip to do research, well the R. Cademartiri lab is a place to find out.
Example REU Project: The REU student will investigate and quantify the stability of bacteriophages on paper depending on the modification of the paper and the method used the immobilize the bacteriophages on the paper. The student will use sterile microbiological techniques to grow bacteria and phages, and determine the activity of the phages . The student will also use standard techniques in material science to modify the chemistry of the materials, and test the effectiveness of modifications. This project combines microbial, material science and analytical techniques.
11. Understanding the Relation Between Aptamer Structure and Function for Sensors and Synthetic Biology – Experimental or Computational
Mentors: Monica Lamm and Marit Nilsen-Hamilton
Aptamers are short nucleic acids that fold uniquely to specifically recognize other molecules. They have some superior properties to antibodies for applications in sensor platforms in that they are stable to dehydration, high temperatures and long storage. They also have the capability of being used in synthetic biology to control gene expression, which is something for which we cannot use antibodies. A very exciting aspect of aptamers is their great flexibility in structure and in methods by which they can be controlled. We need to understand this molecular flexibility to properly design sensor components for engineering applications and gene regulators for synthetic biology. For this we are using molecular dynamics simulations paired with biochemical analysis of the aptamer functions in the laboratory. Our goal is to develop a computational approach to consistently and accurately predict mobility and target (ligand) recognition by aptamers that can be validated in the laboratory.
Example REU Project: The REU student will participate in one of two projects. i) The modeling work will involve changing the sequence of the known aptamer and predicting, by molecular dynamics simulation, the minimized structure. ii) The experimental work will involve synthesizing the aptamer and variants in the laboratory and testing their binding affinities for the ligand using isothermal titration calorimetry or to make aptamer regulated genes that can be tested in cells.
12. ex vivo Mini-Gut Mucosal System for the Investigation of New Oral Vaccine – Experimental
Mentor: Qun Wang
In Dr. Wang’s lab, we BIND our research in Biomaterials, Intestinal Engineering, Nanotechnology and Drug Delivery to provide innovative solutions and products for human health. Some of most challenging problems in the fields of medicine and healthcare can be attributed to the lack of better disease diagnosis and effective therapeutics. The latest developments in materials science, stem cells, microfabrication, and pharmaceutical chemistry provide new tools for innovative solutions to these challenges. Harnessing the power of these opportunities requires an interdisciplinary approach and a combination of established technologies. The multidisciplinary research background enables Wang Lab to accomplish these goals.
Intestinal stem cells reside around the intestinal crypt bottom to produce the rapidly proliferating transit-amplifying cells thus support the self-renewing of intestinal epithelium. The intestinal epithelium plays an active role in controlling antigen traffic through the intestinal mucosa by antigen processing activities with immune cells of the mucosal immune system. The intestinal mucosa is a dynamic mixture of absorptive enterocytes, mucus secreting goblet cells, enteroendocrine cells, leukocyte-like Paneth cells, and gatekeeper Microfold (M) cells. M cells are specialized intestinal epithelial cells in the follicular associated epithelium located over the mucosal associated lymphoid tissue. All these cells are continuously regenerated from Intestinal stem cells located at the bottom of the crypts. As the cell of origin, intestinal stem cells can operate independently to get signals from in vitro environment and generate a continuously expanding, self-organizing Mini-gut structure reminiscent of normal gut (Figure 1).
Example REU Project: The major work of REU students on this project includes characterization of model vaccine delivery vehicles (gold nanocages) transport behavior through Mini-gut epithelium cells; utilization of specific cell-targeting proteins (σ1) to functionalize vehicles to utilize directed cellular transport pathways rather than simple endocytosis for targeted vaccine delivery; and creation of a novel ex vivo model to mimic intestinal mucosal antigen transport system by growing M cells incorporated Mini-gut from intestinal stem cells in the same 3D cell culture. We expect our project will open doors for further study of different intestinal mucosal delivery strategies and lead to more effective oral vaccines in the future.
13. The Social Network of Plants – Experimental
Mentor: Ludovico Cademartiri
Recent estimates state that the supply of food should increase by 50 percent in the next 40 years to accommodate the changes in demographics and eating habits. We are at a remarkable juncture where (i) the price of oil and nitrogen-based fertilizers is expected to increase, (ii) the long term availability of phosphorus for fertilizers is in doubt, (iii) the erosion of soil is reducing yields, and (iv) climate change brings extreme weather that impacts crop survival and productivity.
This extraordinary challenge to feed the planet will require new insights in two areas of knowledge: the interactions of roots with soil, and the “communication” between organisms (plant/plant and plant/microorganism), especially at a network level. The interaction of roots with soil determines the development of the root system, which is essential for the productivity of the plant and its survival in suboptimal conditions (e.g., drought, flooding, marginal soils). The interaction of the plant with other organisms in soil is essential for metabolizing and mobilizing nutrients in soil. Synergism between plants and organisms could offset the need for cheap fertilizers and could allow farming of marginal soils.
Our laboratory is creating experimental systems that will allow us to conduct controlled studies on the growth of engineered networks of plants. This project will further use these systems to conduct experiments that will address fundamental questions about synergic and competitive interactions between plants, especially under stressful growth conditions that are meaningful to future agriculture in marginal soils.
Example REU Project: The student(s) will conduct experiments that will determine whether the connectivity of a community of plants has an effect on the average biomass produced by the plant community. In case of positive observation, our engineered environments will allow for the separate control of the connectivity (liquid/contact/air) of a large network of plants and will help in determining the mechanism behind the synergy.
14. Genome Engineering in Lactococcus lactis – Experimental
Mentor: Thomas Mansell
The Gram-positive bacterium Lactococcus lactis has many uses in industry. It is the primary starter culture for dairy fermentations such as yogurt and cheese. Lactic acid, which is produced by L. lactis via metabolism of sugar, is an important specialty chemical with uses in polymer synthesis, food preservation, and cosmetics. Finally, L. lactis has been shown to have probiotic benefits in both the agricultural and health industries, as an anti-inflammatory preventive treatment for bovine mastitis and as the first organism genetically modified to produce therapeutic protein in the human gut.
Many of the above uses require tolerance to chemical (e.g., low pH/high acid), microbiological (e.g., competition and survival in the gut or udder microbiome), and antimicrobial (e.g., phage susceptibility in dairy fermentations) environments. Tolerance phenotypes are often complex, requiring many genetic factors which are often unknown and/or not intuitive. One approach to study and improve complex phenotypes such as these is genome-scale engineering, in which mutations are made across the genome to determine the effect of genotype on phenotype.
Example REU Project: The REU student will leverage established CRISPR-associated genome engineering tools for engineering of Lactococcus lactis with sufficient efficacy that genome-scale libraries of the organism might be created. Once these libraries are established, they can be used to study the effects of many different selective pressures on engineered L. lactis. Applications include, but are not limited to increased acid tolerance, phage tolerance, protein secretion, survival in the gut environment, and production of exopolysaccharides.
15. Probiotic Engineering – Experimental
Mentor: Thomas Mansell
The probiotic E. coli strain Nissle 1917 is a gut isolate from a WWI soldier resilient to Shigellosis (dysentery). Now sold in Canada and Europe as Mutaflor for protection against traveler’s diarrhea, it’s a good gut colonizer that’s non-pathogenic: a perfect model probiotic.
The Mansell lab is interested in understanding the mechanisms of Nissle’s probiotic effects as well as its demonstrated resilience to many biofuel and short chain fatty acid challenges. We have been performing various genome engineering experiments with Nissle which have led to the production of useful probiotic small molecules. Additionally, we are beginning to test Nissle’s probiotic effects in mouse and other gut microbiome models.
Example REU project: The REU student will use genome and genetic engineering techniques to explore Nissle’s probiotic nature, adding and deleting metabolic pathways to determine which traits are most useful in Nissle. The project may also involve production of therapeutic molecules (e.g., immunomodulating cytokines, small molecules, antimicrobial peptides, or therapeutic proteins).
16. High-Throughput, Contact Free Measurement System of Enzyme Activity Using Bio-Logic Wireless Antennas – Experimental
Mentor: Nigel F. Reuel
The Reuel lab interfaces nanoscale materials and biologic transduction elements (enzymes, cells, and viruses) to create low-cost and field deployable bio-sensors. Recent application areas have been pharmaceutical quality control and wearable health sensors. Our current interest areas are human and animal health as well as sensors for precision agriculture. Our lab work is a balance of raw material synthesis, prototype development (hardware and software), and application testing. This summer project will focus on a recent platform (ACS Sensors N. Reuel et al. 2016) that uses hydrolytic enzymes as the sensor element.
Example REU Project: Student will help design and build well-plate reader for wireless measurement of enzyme activity in a high-throughput assay. This project will involve screen printing of conductive inks (custom and vendor supplied), automation (basic Python programming and stepper motor control will be taught), handling and use of commercially available enzymes, some custom enzyme synthesis (E. coli expression), and back-end software development (Python and Matlab).