DURIP: Nanoparticle Tracking Analysis for Characterizing the Structural Dynamics of Biochemical Nanosystems
Abstract
Major Goals: We propose to acquire a nanoparticle tracking analysis (NTA) and dynamic light scattering (DLS) instrumentation to support multidisciplinary research programs in Chemistry, Physics and Center for Computational and Integrative Biology at Rutgers University-Camden. DLS is a non-invasive technique for measuring the size distribution of particles in solution, based on the analysis of scattering intensity fluctuations. NTA can directly visualize and track the scattering traces of individual particles, which can determine the diffusion coefficient, particle sizes and their absolute concentrations. Multiple research projects are proposed wherein the acquisition of a NTA/DLS will enable DoD-supported and relevant fundamental research, including: (1) characterization of DNA nanostructure assembly; (2) Synthetic cellular compartments with controlled spatial confinements and activities; (3) Develop an enzyme-powered nanomotor propelled by chemical fuels; (4) Synthesis of nanoalloys and their application as photosensitizers within polymersomes; (5) Self-assembly of DNA-small molecule complexes by metal ions; (6) Effects of ionic liquids on lipid vesicles: sizes, stabilities, and fusion mechanisms and (7) Study of aggregation of proteins and peptides, and bio-fibril materials. The proposed research projects with NTA/DLS instrumentation will provide students opportunities to learn and practice the skills that are required in scientific research, especially in nanomaterials. This helps maintain a sustainable future for STEM programs that develop students interests and skills for the participation in scientific research. The program will also educate students about the Armys involvement of supporting fundamental science and engineering research, and advertise educational opportunities for students through the Army Educational Outreach Program (AEOP) and Department of Defense Graduate Fellowships.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 31, 2021
- Accession Number
- AD1199884
Entities
People
- Jinglin Fu
- Sean M. O’malley
- Timothy Vaden
Organizations
- Rutgers University–Camden