Mesoscopic sponge-like topology engineered onto polypropylene promotes retention of bound protein:

The interaction between biopolymers and plastic surfaces defines an area of much interest. In this study, the oxidative activation, surface engineering and protein binding ability of polypropylene derivatives were examined. Figure 1 shows the superimposed carbonyl regions of an ATR-FTIR spectrum of polypropylene, whose surface was subjected to a timecourse oxidation. Oxidation yields increased gradually, affording a maximum signal after 18h. Three distinct carbonyl types were noted. On the basis of spectral data & established reaction chemistries, the oxidation products appeared to be limited to alcohol, ketone, carboxylic acid and potentially ester groups (Pavia et al., 1979). The SEM micrographs of figure 2 showed no significant changes of topology over the first 8h of reaction. In comparison, minor changes had developed by 10h, in the form of sparsely distributed mesoscale bulges. A brief period of dramatic change occurred thereafter, as evidenced by the sponge-like mesoscale topology at 12h. The transformation was noteworthy in that it reflected the release of material stresses, which had accumulated during reaction. When the brevity of this dramatic change was assessed against the continual accumulation of oxidation products, the underlying mechanism pointed to an oxidative phase separation (Hellan, 1984). Further oxidation (14h) did not alter the appearance. Several oxidized surfaces were treated with hydrolyzed aminopropyltriethoxysilane, yielding an aminated surface. Of these, some surfaces were reacted further with ninhydrin, yielding the corresponding aldehyde surface. Interactions between protein and each surface were assessed by the extent to which a trace-labeled fluorescent albumin derivative could be loaded and retained following several washings. A negative control surface, i.e., native polypropylene, did not retain fluorescence after the washings. In contrast, the oxidized, aminated and aldehyde-bearing surfaces retained substantial fluorescence. A related experiment was conducted using mesoscopically flat surfaces to ascertain if the sponge-like topology alone had promoted protein retention. This time, the protein-loaded aminated surfaces lost all fluorescence after the washings. In contrast, oxidized and aldehyde-pendant surfaces still retained fluorescence, presumably by forming imine bonds with protein. Thus, the contribution of a sponge-like topology proved sufficient, yet vital, to achieve retention in the absence of any covalent bonding. Zeolite-related work by Takahashi et al. (2001) gave a physical basis to rationalize protein retention along a sponge-like topology. In this model (Figure 3), surface structures are depicted to be on the order of protein size. Direct entry of protein to the base of a crevice (A) is portrayed as difficult. Instead, protein is envisaged to adsorb at the tips, where wettability is highest (B) and to migrate to the base (C). The better shape complementarity of the base is presumed to stabilize protein-surface interactions, imparting irreversibility to the process in comparison to a flat surface (i.e., scenarios D vs. E). The findings implied that the routine use of reaction-induced phase transformations could aid in the development of alternative mesoscale topologies with refined binding traits. Such chemical approaches should therefore complement established methods based on lithography, self-organization and solvent casting

Entropic Quantization of Scalar Fields

Entropic Dynamics is an information-based framework that seeks to derive the laws of physics as an application of the methods of entropic inference. The dynamics is derived by maximizing an entropy subject to constraints that represent the physically relevant information that the motion is continuous and non-dissipative. Here we focus on the quantum theory of scalar fields. We provide an entropic derivation of Hamiltonian dynamics and using concepts from information geometry derive the standard quantum field theory in the Schroedinger representation.Comment: 10 pages. Presented at MaxEnt 2014, the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (September 21--26, 2014, Amboise, France

Relational Entropic Dynamics of Particles

The general framework of entropic dynamics is used to formulate a relational quantum dynamics. The main new idea is to use tools of information geometry to develop an entropic measure of the mismatch between successive configurations of a system. This leads to an entropic version of the classical best matching technique developed by J. Barbour and collaborators. The procedure is illustrated in the simple case of a system of N particles with global translational symmetry. The generalization to other symmetries whether global (rotational invariance) or local (gauge invariance) is straightforward. The entropic best matching allows a quantum implementation Mach's principles of spatial and temporal relationalism and provides the foundation for a method of handling gauge theories in an informational framework.Comment: Presented at MaxEnt 2015, the 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (July 19--24, 2015, Potsdam NY, USA