Project Director

Palchoudhury, Soubantika

Department Examiner

Panagiotou, Eleni; Harris, Bradley

Department

Dept. of Civil and Chemical Engineering

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

The growth of targeted drug delivery methods in modern cancer treatments has been the result of an increase in the quantity of drugs available, which is directly affected by the methods used in drug development. These drugs vary in size, shape, and mechanism of operation, so the characterizing techniques used must be adaptable to a variety of particle types. In this thesis, a variety of complex nanostructures were synthesized and characterized using dynamic light scattering (DLS), which is a rapid, non-destructive, and simply-operated size characterization method that does not introduce artifacts from sample preparation. The DLS data was then analyzed to spot trends among the sample varieties that could potentially be used to characterize particle shapes. A foundation was laid for future works developing a computational model to characterize shape based on DLS size distribution data alone.

Acknowledgments

The author acknowledges the funding provided by the 2018 THEC-CEACSE Award for providing the equipment used, as well as the facilities and resources provided by the University of Tennessee at Chattanooga College of Engineering and Computer Science. Additionally, the author would like to acknowledge the help and instruction provided by Russell George regarding Excel Queries and data processing.

Degree

B. S.; An honors thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Bachelor of Science.

Date

8-2019

Subject

Drug delivery systems; Cancer -- Treatment; Nanoparticles; Nanomedicine

Keyword

Targeted drug delivery; Iron oxide; Dynamic light scattering; Computational modeling; Cancer treatment

Document Type

Theses

Extent

49 leaves

Language

English

Rights

Under copyright.

License

http://creativecommons.org/licenses/by-nc-nd/3.0/

Date Available

6-8-2019

Available for download on Saturday, June 08, 2019

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