Concept of Number average and Mass average molecular weights

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Summary

This video explains the distribution of molar mass in polymers, detailing different formulas for calculating average molar masses such as number average, weight average, viscosity average, and Z-average. It also covers the polydispersity index and compares number average and weight average molar masses.

Highlights

Introduction to Polymers and Molar Mass
00:01:08

Polymers are long-chain, high molecular weight compounds formed from simple molecules called monomers through polymerization. The degree of polymerization and monomer molecular mass determine the polymer's molecular mass. Unlike metals, polymers offer design freedom, fast installation, and corrosion resistance, replacing metals in many applications due to their lightweight nature and enhanced mechanical properties. Polymer molecular weight is crucial as it affects physical properties like strength and viscosity. Due to variations in chain length during polymerization, polymers don't have a single molecular weight, necessitating the use of average molecular weights.

Molar Mass Distribution and Types of Averages
00:05:06

There are various ways to express polymer molar mass, including Number Average Molar Mass (MN), Weight Average Molar Mass (MW), Viscosity Average Molar Mass (MV), and Z-Average Molar Mass (MZ). These averages are crucial because polymers are heterogeneous mixtures with varying chain lengths.

Number Average Molar Mass (MN)
00:05:30

The Number Average Molar Mass (MN) is calculated by considering the total molecular weight divided by the total number of molecules. It is defined by the sum of (number of molecules * molar mass) / total number of molecules. This average is sensitive to the number of molecules and is relevant for colligative properties like osmotic pressure, freezing point depression, boiling point elevation, and vapor pressure lowering. MN can be determined using techniques such as ebulliometry, cryometry, osmometry, gel permeation chromatography, viscometry, and NMR.

Weight Average Molar Mass (MW)
00:11:18

The Weight Average Molar Mass (MW) considers both the number and the weight of each polymer molecule. It's calculated by summing (weight of molecules * molar mass) / total weight of molecules. This average is more influenced by larger molecules and is determined by techniques such as X-ray scattering, sedimentation velocity, static light scattering, and small-angle neutron scattering.

Z-Average Molar Mass (MZ) and Viscosity Average Molar Mass (MV)
00:14:55

The Z-average molar mass (MZ) is the third power of the molar mass, with heavier molecules contributing more to its calculation. The Viscosity average molar mass (MV) is defined by a formula involving a constant 'a' (Mark-Houwink exponent), which depends on the polymer-solvent pairing and ranges from 0.5 to 1. MV is a relative mass derived from calibration with known molar masses.

Polydispersity Index (PDI)
00:16:30

The Polydispersity Index (PDI) quantifies the distribution of molecular masses in a polymer sample. It is defined as the ratio of MW to MN (PDI = MW/MN). For a monodisperse sample (all chains have the same length), PDI = 1. For polydisperse samples, MW is always greater than MN, resulting in PDI > 1. A higher PDI indicates a broader distribution of molecular weights. The PDI approaches unity as the polymer chains become more uniform in length.

Comparison of MN and MW and Molecular Weight Distribution
00:21:57

MN is the arithmetic mean, where each molecule contributes equally, while MW weights molecules by their mass. MN is sensitive to low molecular weight species, and MW is sensitive to high molecular weight species. MW is always greater than MN for polydisperse polymers. The molecular weight distribution illustrates the range of chain lengths. A narrow distribution means MN and MW values are closer, while a broad distribution results in a larger difference, which is reflected in the PDI.

Numerical Problems and Summary
00:24:46

The video includes example problems demonstrating the calculation of MN, MW, and PDI for polydisperse polymer samples. In summary, polymers are mixtures of molecules with varying sizes, necessitating average molecular masses. Different experimental techniques measure different averages based on molecular properties. The PDI (MW/MN) indicates the breadth of the polymer's molecular weight distribution, with values closer to 1 signifying a narrower distribution.

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