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Random structures

Since the preparation of the specimen began with such a dilute solution, there seems to be little doubt that the particles are individual polymer molecules rather than clusters thereof. The diameters of the blobs are of the right order of magnitude for random structures, although this comparison must be used cautiously in view of item (1). [Pg.7]

An important subdivision within the thermoplastic group of materials is related to whether they have a crystalline (ordered) or an amorphous (random) structure. In practice, of course, it is not possible for a moulded plastic to have a completely crystalline structure due to the complex physical nature of the molecular chains (see Appendix A). Some plastics, such as polyethylene and nylon, can achieve a high degree of crystallinity but they are probably more accurately described as partially crystalline or semi-crystalline. Other plastics such as acrylic and polystyrene are always amorphous. The presence of crystallinity in those plastics capable of crystallising is very dependent on their thermal history and hence on the processing conditions used to produce the moulded article. In turn, the mechanical properties of the moulding are very sensitive to whether or not the plastic possesses crystallinity. [Pg.4]

Low chemical resistance - the more open random structure enables chemicals to penetrate deep into the material and to destroy many of the secondary bonds. [Pg.5]

Poor fatigue and wear resistance - the random structure contributes little to fatigue or wear properties. [Pg.5]

It would be interesting to see how well CLS would have done if we hadn t had a component whose concentration values were unknown (Component 4). To explore this, we will create two more data sets, A6, and A7, which will not contain Component 4. Other than the elimination of the 4noise levels in A6, A7, and their corresponding concentration matrices, C6 and C7, will be the same as in A2, A3, C2, and C3. But, the actual noise will be newly created—it won t be the exact same noise. The amount of nonlinearity will be the same, but since we will not have any absorbances from the 4 component, the impact of the nonlinearity will be slightly less. Figure 24 contains plots of the spectra in A6 and A7. [Pg.67]

A cobalt(II)-chitosan chelate has been prepared by soaking a chitosan film in C0CI2 aqueous solution. The chitosan chelated Co(II) through both oxygen and nitrogen atoms in the chitosan chain. The tetracoordinated, high-spin Co(II)-chitosan chelate could be used as a catalyst, and the polymerization of vinyl acetate was carried out in the presence of Na2S03 and water at pH 7 and normal temperature. The polyvinyl acetate possessed a random structure [114,115]. [Pg.163]

The random structures, 1, have no long-range order and the ladder polymers, 2, contain no polyhedra as do the oligomeric species, 4, but the incompletely... [Pg.2]

Rate of hydration of the polymeric materials has been shown to be an important consideration in regard to drug release. Gilding and Reed (24) demonstrated that water uptake increases as the glycolide ratio in the copolymer increases. The extent of block or random structure in the copolymer can also affect the rate of hydration and the rate of degradation (25). Careful control of the polymerization conditions is required in order to afford reproducible drug release behavior in a finished product. Kissel (26) showed drastic differences in water uptake between various homopolymers and copolymers of caprolactone, lactide, and glycolide. [Pg.3]

Occasionally in the synthesis of the copolymers, insoluble material is produced. This results from polymer containing blocks of polyglycolide rather than the desired random structure. Obviously, such compositions would have considerable effect on the performance of controlled release formulations utilizing those polymers. This problem is particularly evident when one is seeking to utilize the 50 50 glycolide/lactide copolymer as a biodegradable excipient. However, with carefully controlled polymerization conditions, useful 50 50 polymer is readily produced. [Pg.4]

Figure 9. A histogram of the energy distribution of 1000 random structures which have been (a) minimized for 2000 steps, and (b) further subjected to 5 ps of dynamics at 600K and reminimized for 2000 steps. Figure 9. A histogram of the energy distribution of 1000 random structures which have been (a) minimized for 2000 steps, and (b) further subjected to 5 ps of dynamics at 600K and reminimized for 2000 steps.
The analysis of gel stracture conducted by Flory encompasses primarily category 2 and category 3 gels, which have in common random structures, although some considera-... [Pg.531]

Cement formation requires a continuous structure to be formed in situ from a large number of nuclei. Moreover, this structure must be maintained despite changes in the character of the bonds. These criteria are, obviously, more easily satisfied by a flexible random structure than by one which is highly-ordered and rigid. Crystallinity implies well-satisfied and rigidly-directed chemical bonds, exact stoichiometry and a highly ordered structure. So unless crystal growth is very slow a continuous molecular structure cannot be formed. [Pg.8]

In random structures, stoichiometry need not be exact and adventitious ions can be incorporated without causing disruption. Bonds are not highly directed, and neighbouring regions of precipitation, formed around different nuclei, can be accommodated within the structure. Continuous networks can be formed rapidly. Thus, random structures are conducive to cement formation and, in fact, most AB cements are essentially amorphous. Indeed, it often appears that the development of crystallinity is detrimental to cement formation. [Pg.8]

When it is employed to specify an ensemble of random structures, in the sense mentioned above, the MaxEnt distribution of scatterers is the one which rules out the smallest number of structures, while at the same time reproducing the experimental observations for the structure factor amplitudes as expectation values over the ensemble. Thus, provided that the random scatterer model is adequate, deviations from the prior prejudice (see below) are enforced by the fit to the experimental data, while the MaxEnt principle ensures that no unwarranted detail is introduced. [Pg.14]

Consequently, several hidden quantities can be estimated on the basis of the SMO approach. The procedure based on Equation 4.13 can be simply extended even to 2D separations as described in Fig. 4.7. In practice, the 2D pattern, in terms of spot positions and abundances, is divided into several strips. Each strip is transformed into a ID line chromatogram and the procedure described in Fig. 4.7 is then applied. Equation 4.13 is employed to calculate the m value of each strip from which the total m value is obtained. Applications to this procedure will be reported in Section 4.5. At this point, the reader s attention is drawn to the fact that the procedure of transforming 2D strips into ID chromatograms (see Fig. 4.7) once more corresponds to the overlapping mechanisms described in Fig. 4.2 and has been evocated in comparing Fig. 4.4 with Fig. 4.3. In this way, if random structures (e.g., such as those marked in Fig. 4.1b) are present, their memory is lost and the 2D pattern is reduced to a Poissonian ID one. Therefore, the number of SCs can be correctly estimated, even if the 2D pattern was not Poissonian. [Pg.72]

The copolymerization of lactones took place through enzyme catalysis [92]. The copolymerization of e-CL with d-VL catalyzed by lipase PF affords the corresponding copolymer having a molecular weight of several thousand. From 13C NMR analysis, the copolymer was found to be of random structure having both units, suggesting the frequent occurrence of transesterifications between the polyesters. In the copolymerization of 8-OL with e-CL or DDL, random copolyesters were also formed [84], whereas the copolymer from e-CL and PDL was not statistically random [88]. [Pg.250]

The influence of adsorption on the structure of a -chymotrypsin is shown in Fig. 10, where the circular dichroism (CD) spectrum of the protein in solution is compared with that of the protein adsorbed on Teflon and silica. Because of absorbance in the far UV by the aromatic styrene, it is impossible to obtain reliable CD spectra of proteins adsorbed on PS and PS- (EO)8. The CD spectrum of a protein reflects its composition of secondary structural elements (a -helices, / -sheets). The spectrum of dissolved a-chymotrypsin is indicative of a low content of or-helices and a high content of //-sheets. After adsorption at the silica surface, the CD spectrum is shifted, but the shift is much more pronounced when the protein was adsorbed at the Teflon surface. The shifts are in opposite directions for the hydrophobic and hydrophilic surfaces, respectively. The spectrum of the protein on the hydrophilic surface of silica indicates a decrease in ordered secondary structure, i.e., the polypeptide chain in the protein has an increased random structure and, hence, a larger conformational entropy. Adsorption on the hydrophobic Teflon surface induces the formation of ordered structural elements, notably an increase in the content of O -helices (cfi, the discussion in Sect. 3.1.4). [Pg.118]

B-chains until they are acted on by R-enzyme, when maltose or malto-triose will be produced from the residual A-chain, and linear dextrins from the B-chains. The amount of maltose or maltotriose liberated on treating the /3-limit dextrin with R-enzyme will be a measure of the number of A-chains in the molecule, and from these data, the ratio of A B chains in the molecule can be calculated.220 Peat concluded that multiple branching is an intrinsic part of the amylopectin structure, as the observed yield of these sugars was greater than expected for a singly-branched structure. It should be noted that glycogen has been shown by similar enzymic methods to possess a truly random structure.221... [Pg.386]

Protein stability is just the difference in free energy between the correctly folded structure of a protein and the unfolded, denatured form. In the denatured form, the protein is unfolded, side chains and the peptide backbone are exposed to water, and the protein is conformationally mobile (moving around between a lot of different, random structures). The more stable the protein, the larger the free energy difference between the unfolded form and the native structure. [Pg.28]


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See also in sourсe #XX -- [ Pg.115 , Pg.116 , Pg.117 , Pg.118 , Pg.119 , Pg.120 , Pg.121 , Pg.122 , Pg.123 , Pg.124 , Pg.125 , Pg.135 , Pg.136 , Pg.137 , Pg.138 ]

See also in sourсe #XX -- [ Pg.87 ]

See also in sourсe #XX -- [ Pg.15 ]




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Dispersed Phase Hold-Up in Packed Columns Containing Random and Structured Packings

Elastin random chain structure

Fixed and Random Effects into the Structural Model

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Hydrogen-deuterium exchange random coil structure

Modelling random structure methods

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Network structure randomly crosslinked

Obtained from random structures

Packing performance, random structural

Particle packing structure dense random

Particle packing structure loose random

Polyethylene phase structure, randomly distributed

Polyethylene random lamellar structure

Pressure Drop of Irrigated Random and Structured Packings

Probing Structural and Electronic Parameters in Randomly Oriented Metalloproteins by Orientation-Selective ENDOR Spectroscopy

Protein structure analysis random

Protein structure analysis randomization

Protein structure analysis randomized region

Protein structure random coil

Protein structure random coil conformation

Quasi-random structures

Random Walker in a Cubic Crystalline Structure

Random alloy structure

Random coil structure

Random coiled Structure

Random hyperbranched structures

Random lamellar structure

Random polymerization chain structure

Random structure methods

Random structure model

Random structures, modeling

Typical random copolymer structure

Typical random copolymer structure copolymerization

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