The Development of New Calorimetric Methods Aid the Understanding of Uranyl Peroxide Nanocluster Solution Behavior

Doctoral Dissertation

Abstract

Herein, we developed a calorimetric method to obtain new thermodynamic values for polyoxometalates (POMs) that helped elucidate their thermodynamic landscape. The studies were primarily conducted on uranyl peroxide nanoclusters (UPCs). In the 16 years since the discovery of UPCs, over 60 have been reported, but their assembly and solution behavior is still perplexing. Thermodynamics can provide a quantitative analysis to predict and study UPC stability and solubility, and chemical processes in solution.

In total, the energy landscapes for 10 UPCs, two Mo POMs, and one uranyl peroxide monomer (building block of UPCs) were analyzed by obtaining values for enthalpy of formation of POM crystals (ΔHf,©), enthalpy of formation of aqueous POMs (ΔHf,(aq)), and enthalpy of dissolution (ΔHdiss). The results allowed us to predict the conversion of LiNa-U24Pp12 to LiNa-U24 and Li-U28 to LiCa-U24 and elucidate their transformations; and the enthalpy of conversion from lithium uranyl triperoxide monomer to U24 and U28 was determined to be negative, which is in agreement with literature observations. Additionally, our results reveal that ΔHdiss is highly dependent on the entity of the counter cations and their affinities with the topological features of the UPCs, and a complex but linear relationship between ΔHdiss and the cluster solubility exists.

Attributes

Attribute NameValues
Author Hrafn Traustason
Contributor Vlad Iluc, Committee Member
Contributor Emily Tsui, Committee Member
Contributor Peter C. Burns, Research Director
Degree Level Doctoral Dissertation
Degree Discipline Chemistry and Biochemistry
Degree Name Doctor of Philosophy
Banner Code
  • PHD-CHEM

Defense Date
  • 2021-08-26

Submission Date 2021-09-07
Record Visibility Public
Content License
  • All rights reserved

Departments and Units
Catalog Record

Digital Object Identifier

doi:10.7274/k356931058v

This DOI is the best way to cite this doctoral dissertation.

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