600 CHARACTERIZATION AND IDENTIFICATION OF PLASTICS
only measure an average value and tell us nothing about the distribution that
makes up the average. Take, for instance, average daily temperatures reported
for a particular city. These reports can be very misleading since they lack more
useful information about extreme high and extreme low temperatures. In a very
similar manner, the melt index and viscosity tests relate very well to the average
molecular weight of the polymer but fail to provide the necessary information
about the molecular weight distribution of the polymer. Two batches of resin
may have the same melt index, which simply indicates that their viscosity av-
erage molecular weights are similar. Their molecular weight distributions, the
number of molecules of various molecular weights that make up their averages,
can be significantly different. If an excessively high-molecular-weight fraction
is present, the material may be hard and brittle. Conversely, if an excessive
amount of low-molecular-weight fraction is present, the material may be soft or
sticky. When evaluating the nature of the incoming plastics material is extremely
important to a processor, he must look for a more reliable technique that will
provide the necessary information, to qualify the material, such as the measure-
ment of molecular weight distribution. The molecular weight distribution is the
single most fundamental property of the polymer. The molecular weight distri-
bution not only provides basic information regarding the processibility of the
polymer but also gives valuable information for predicting its mechanical prop-
erties.
Gel permeation chromatography (GPC) is the method of choice for determin-
ing the molecular weight distribution of a polymer. This technique has gained
wide acceptance among the plastic material manufacturers and the processors
because of its relatively low cost, simplicity, and its ability to provide accurate,
reliable information in a very short time. GPC reveals the molecular weight
distribution of a polymer compound. It detects not only the resin-based mole-
cules such as polymer, oligomer, and monomer but most of the additives used
in plastic compounds and even low-level impurities. The molecular weight dis-
tribution curve is plotted for a well-characterized standard material, and the
profile of the curve is compared with the test sample. In this manner, batch-to-
batch uniformity can be checked quickly as a means of quality assurance.
The separation of polymer molecules by GPC is based upon the differences
in their ‘‘effective size’’ in solution. (Effective size is closely related to molecular
weight.) Separation is accomplished by injecting the polymer solution into a
continuously flowing stream of solvent that passes through highly porous, tiny,
rigid gel particles closely packed together in a tube. The pore size of the gel
particles may vary from small to very large. As the solution flows through the
gel particles, molecules with small effective size (low molecular weights) will
penetrate more pores than molecules with larger effective sizes and, therefore,
take longer to emerge than the larger molecules. If the gel covers the right range
of molecular sizes, the result will be a size separation with the largest molecules
exiting the gel-packed tubes (columns) first.
A test sample is prepared by dissolving a small amount of polymer in the
solvent and filtering the solution to remove the undissolved impurities. The next
step is to select the proper size columns, connect them, set the sensitivity setting
on the detectors, and allow the instrument to equilibrate. A trial analysis is done
by injecting the polymer solution into the instrument. The chromatogram is