The present thesis investigates some long standing problems in radical polymerization (RP). The major aim is to consider the feasibility of using simple techniques to provide more insight into the kinetics of RP. This can contribute to fundamental knowledge of radical polymerizations, particularly with respect to the mode of termination (λ), average termination rate coefficient (<kt>), chain-length dependence of termination (CLDT) and chain transfer through in-depth investigations of the rate of polymerization (Rp) and molar mass distribution (MMD), the latter especially via mass spectrometric (MS) analysis. The termination process was first investigated. Observation of changes of <kt> (or equivalently Rp) and MMD by a variety of factors such as solvent, monomer and initiator concentrations, temperature, pressure and growing radical size were explored. Non-classical kinetics and chain-length dependency of termination were confirmed. Accessibility of CLDT information was clearly evident. Although observed results meet fully with composite-model expectations, issues such as chain transfer were found to have an effect on the CLDT parameters determined from rate measurements. Specifically, dilute-solution polymerization of methyl methacrylate (MMA) in methyl isobutyrate (MIB) showed evidence of such an effect. Scaling of quantities that are experimentally accessible such as <kt> with DPn yield CLDT parameters in good agreement with what has been reported from recent PLP experiments. This was confirmed for several monomers. The temperature dependence of termination was also investigated and found to show evidence for CLDT. In contrast, the variation of <kt> with pressure did not demonstrate similarly strong CLDT effects. Evidence for and determination of chain transfer to MIB was also obtained. This was followed up by investigations into the important parameter λ using the MS technique. Surprisingly little is known about λ despite its long history and its apparent importance to polymer properties. Firstly, the robustness of using MS was explored, with the method passing numerous consistency checks. Although no large dependence of MS instrument was found, electrospray-ionization mass spectrometry (ESI-MS) provided best resolution. Second, the type of initiator, the initiator concentration and the solvent were found to have no measurable effect on λ, even when chain transfer occurred. In further work, increasing temperature seemed to have an influence on λ, leading to an increase in the proportion of disproportionation. However, pressure was found to have only a small influence on λ. The effect of monomer on λ was also studied. In the final part of this work, a preliminarily investigation into the viability of using Raman spectroscopic techniques to study auto-acceleration, also called the gel effect, for bulk MMA radical polymerization was presented. The results showed the possibility of using such a technique to follow the reaction to high conversion. The effect of temperature and initiator concentration on auto-acceleration were also presented. The outstanding results of this thesis are: (1) The application of CLDT theory to better understand rate results from low-conversion polymerizations. (2) In particular, the use of CLDT principles to explain termination activation energies across a range of monomers. (3) The validation of the MS method for quantitative determination of mode of termination by carrying out an array of consistency checks. (4) Showing that MS results are consistent with CLDT theory. (5) Utilization of the MS method for the first ever reliable measurement of the variation of mode of termination with temperature, pressure and monomer.

abstract: Protein-surface interactions, no matter structured or unstructured, are important in both biological and man-made systems. Unstructured interactions are more difficult to study with conventional techniques due to the lack of a specific binding structure. In this dissertation, a novel approach is employed to study the unstructured interactions between proteins and heterogonous surfaces, by looking at a large number of different binding partners at surfaces and using the binding information to understand the chemistry of binding. In this regard, surface-bound peptide arrays are used as a model for the study. Specifically, in Chapter 2, the effects of charge, hydrophobicity and length of surface-bound peptides on binding affinity for specific globular proteins (&beta-galactosidase and &alpha1-antitrypsin) and relative binding of different proteins were examined with LC Sciences peptide array platform. While the general charge and hydrophobicity of the peptides are certainly important, more surprising is that &beta-galactosidase affinity for the surface does not simply increase with the length of the peptide. Another interesting observation that leads to the next part of the study is that even very short surface-bound peptides can have both strong and selective interactions with proteins. Hence, in Chapter 3, selected tetrapeptide sequences with known binding characteristics to &beta-galactosidase are used as building blocks to create longer sequences to see if the binding function can be added together. The conclusion is that while adding two component sequences together can either greatly increase or decrease overall binding and specificity, the contribution to the binding affinity and specificity of the individual binding components is strongly dependent on their position in the peptide. Finally, in Chapter 4, another array platform is utilized to overcome the limitations associated with LC Sciences. It is found that effects of peptide sequence properties on IgG binding with HealthTell array are quiet similar to what was observed with &beta-galactosidase on LC Science array surface. In summary, the approach presented in this dissertation can provide binding information for both structured and unstructured interactions taking place at complex surfaces and has the potential to help develop surfaces covered with specific short peptide sequences with relatively specific protein interaction profiles. / Dissertation/Thesis / Doctoral Dissertation Biochemistry 2014

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