Samahith T. 2026 | BASIS Independent Fremont
- Project Title: Optimizing Yield for Multilamellar Vesicle (MLV) Platform for Cosmetic Delivery
- BASIS Independent Advisor: Dr. Sharma
- Internship Location: ASDRP/reThink64, 46309 Warm Springs Blvd, Fremont, CA 94539
- Onsite Mentor: Dr. Joey Pazzi
Traditional drug delivery methods such as pills and injections can be effective, but they often cause systemic side effects and require strict dosing schedules. Multilamellar vesicles (MLVs) are specialized structures composed of multiple lipid bilayers surrounding aqueous compartments. This project will focus on using MLVs for both drug delivery and cosmetic applications. Recent studies have showcased their use in cosmetics because MLVs can break down into smaller structures as they penetrate deeper, which improves product outcome thus performance. MLVs have also been emphasized in drug delivery because their concentric layers can encapsulate a larger total drug volume than unilamellar vesicles and can support a more stable, controlled release, as layers are expected to break down sequentially rather than all at once. This also allows for more protection of the compound in the most central vesicle. In this study, I will develop a simple method to generate MLVs using DOPC lipid films dried on paper supports and then hydrated with different aqueous buffers. Vesicle formation will then be confirmed using fluorescence microscopy with RhoPE-labeled lipids. I will then compare MLV yield across hydration conditions and test whether saline buffers such as NaCl and CaCl₂ produce higher quantities of MLVs than other solutions, and quantify this using ImageJ. Finally, I will use these results to identify hydration conditions that improve reproducibility and yield, supporting a scalable framework for producing MLVs for both topical cosmeceutical formulations and drug delivery research.
