1. Tuning and Controlling the Release Profiles of Functional Biomolecules through Optimal Learning Jesse Goodman Summer 2014 McAlpine Group

2. McAlpine Research Group Nanotechnology Biology Energy Worked closely with: – Dr. Maneesh Gupta

3. My Project Switch from encapsulating phase change materials Protein loaded microspheres – Drug delivery, tissue engineering, etc. – Controlling release rate is difficult… http://www.pharmaceutical-int.com/upload/image_files/news/0_multilayered-particles- for-drug-delivery-and-artificial-tissues_content_Multilayered-Particles-Drug-Delivery.jpg http://www.rsc.org/images/Figure%201_tcm18-35157.jpg

4. Need for customizable release profiles Literature is very application specific Lack of discussion re the ability to create any desired release profile by altering certain parameters PLGA-Based Microparticles for the Sustained Release of BMP-2 (Kirby et al., 2011) Controlled Release of Dexamethasone from PLGA Microspheres Embedded Within Polyacid-Containing PVA Hydrogels (Galeska et al., 2005)

5. Particle Formulation Double Emulsion Solvent Evaporation W1/O/W2 Emulsification (W1/O)/W2 Volume Fraction External PVA Concentration Dispersion Speed W1/O Emulsification W1/O Volume Fraction Polymer Concentration Payload Concentration Dispersion Speed Drying Process Dilution Ratio Temperature

6. Varying Parameters Affects particle size & polydispersity Should also affect release profile Settle on modifying only certain parameters – W 1 /O ratio, PLGA conc, BSA and HRP conc.

7. Measuring protein release

8. Release Profiles

9. Optimization Process Use chosen parameters to create particles & release profile Email release profile data to Kris & Si in ORFE collaboration group Plug into model & chose parameters (optimized to develop model) for another experiment

10. Optimization Predictions & Comparisons

11. Further research Target release profiles in order to develop certain medicines Apply this optimal learning technique to similar projects http://www.pro cessingmagazine.com/ext/resour ces/News- Photos/2013/08 13/TS_16226425 3_715x400.jpg

12. Acknowledgements Thanks to: – Dr. Maneesh Gupta for working with me on this project throughout the summer – Dr. Kris Reyes and Si Chen for collaborating with me and working on the optimization portion of this project – Professor McAlpine for hosting me in his lab and guiding me through this project – PEI for making this internship possible