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Molecular weight distribution degradation analysis

Although polymers in-service are required to be resistant toward hydrolysis and solar degradation, for polymer deformulation purposes hydrolysis is an asset. Highly crystalline materials such as compounded polyamides are difficult to extract. For such materials hydrolysis or other forms of chemolysis render additives accessible for analysis. Polymers, which may profitably be depolymerised into their monomers by hydrolysis include PET, PBT, PC, PU, PES, POM, PA and others. Hydrolysis occurs when moisture causes chain scissions to occur within the molecule. In polyesters, chain scissions take place at the ester linkages (R-CO-O-R ), which causes a reduction in molecular weight as well as in mechanical properties. Polyesters show their susceptibility to hydrolysis with dramatic shifts in molecular weight distribution. Apart from access to the additives fraction, hydrolysis also facilitates molecular characterisation of the polymer. In this context, it is noticed that condensation polymers (polyesters, -amides, -ethers, -carbonates, -urethanes) have also been studied much... [Pg.152]

The labile nature of the components necessitates that, for fundamental investigations, the starch should preferably be extracted from its botanical source, in the laboratory, under the mildest possible conditions.26 Industrial samples of unknown origin and treatment should not be used. The characterization of the starch would appear to entail (1) dissolution of the granule without degradation, (2) fractionation without degradation, (3) complete analysis of the finer details of structure of the separated components (including the possibilities of intermediate structures between the extremes of amylose and amylopectin), and (4) the estimation of the size, shape, and molecular-weight distribution of these fractions. [Pg.341]

A second and distinct era in the development of branched macromolecular architecture encompasses the time between 1940 to 1978, or approximately the next four decades. Kuhn 151 published the first report of the use of statistical methods for analysis of a polymer problem in 1930. Equations were derived for molecular weight distributions of degraded cellulose. Thereafter, mathematical analyses of polymer properties and interactions flourished. Perhaps no single person has affected linear and non-linear polymer chemistry as profoundly as P. J. Flory. His contributions were rewarded by receipt of the Nobel Prize for Chemistry in 1974. [Pg.17]

The objective of this study was to make sure that degradation of PE was prevented during the conditioning process. Different techniques were used to examine the stability of PE in the melt blender. Small-strain dynamic oscillatory measurements of viscoelastic properties (r] ) in a mechanical spectrometer as well as and molecular weight distribution from GPC analysis were used to assess the stability of samples of linear low-density polyethylene (LLDPE) and LDPE in the melt blender. [Pg.15]

The factors which may influence the thermal degradation of copolymers are i) the nature of the tin monomer ii) the composition of the tin content in the polymer iii) the molecular weight distribution and iv) the presence of impurities. Thermal analysis data show that the threshould degradation temperature is lowered in all copolyimides with respect to increase in tin component. The stability of PT2 polymer was also more than that of PT in the temperature range 400-500 above which it remains nearly constant. It may be assumed that butyl groups are vulnerable to... [Pg.379]

There are many problems associated with analysis of the average molecular weights and molecular weight distribution of UHMWPE. These include (1) degradation during dissolution of this polymer at elevated temperatures (2) problems with the polymer not... [Pg.371]


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See also in sourсe #XX -- [ Pg.198 ]




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Analysis weight

Degradation analysis

Distribution analysis

Distribution weight

Distributional analysis

Molecular analysis

Molecular distribution

Molecular weight degradation

Molecular weight distribution

Molecular weight distribution analysis

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