Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.

Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.

Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.

Document Type

Open Access Dissertation

Degree Name

Doctor of Philosophy (PhD)

Degree Program

Chemistry

Year Degree Awarded

Spring 2014

First Advisor

Richard W. Vachet

Second Advisor

Vincent M. Rotello

Subject Categories

Analytical Chemistry | Materials Chemistry | Organic Chemistry

Abstract

Nanoparticles (NPs) are being investigated widely for use in biomedical applications such as imaging, drug delivery, and cancer therapy due to their small size and readily tunable properties. The ability to accurately characterize NPs and monitor their spatial distributions is highly desirable for effective use of NPs and evaluation of their potential adverse environmental, health, and safety effects. In this dissertation, a simple, fast, and sensitive method based on laser desorption/ionization mass spectrometry (LDI-MS) to characterize and track NPs in biological systems has been developed. This method is especially well suited for characterizing core-shell structured NPs, such as quantum dots (QDs), gold NPs (AuNPs) and magnetic NPs, in a variety of sample types. The surface functionalities attached to the cores of the NPs can be qualitatively and quantitatively analyzed by LDI-MS with ultra-low sample consumption. A new molecular imaging technique has been developed based on the LDI-MS detection of NPs. Tissues from mice injected with NPs can be obtained and readily imaged to identify the location of NPs in these tissues. NPs can be selectively detected in a multiplexed fashion in tissues and the intra-organ distributions of same-sized NPs are directly linked to their surface functionality.

Comments

This dissertation work was co-advised by Professor Vincent M. Rotello and Professor Richard W. Vachet.

Share

COinS