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Handbook of Solvents - George Wypych - ChemTech - Ventech!

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13.2 Solvent effects on free radical polymerization 791<br />

complex, to primary cyclohexyl radicals were found. Thus they concluded that the<br />

STY/MAH complex in the monomer solution is disrupted during the propagation step. It is<br />

likely that both the MCP and MCD mechanisms are valid and their validity in a specific system<br />

will depend on the relative strength <strong>of</strong> the EDA complex concerned. The MCD model<br />

may be useful for accounting for those systems, in which EDA complexes are known to be<br />

present but the MCP model has been shown not to hold.<br />

13.2.3.3.4 Specific solvent effects<br />

Several monomers are particularly susceptible to strong solvent effects via specific interactions<br />

such as hydrogen bonding, ionic strength and pH. The kinetic consequences <strong>of</strong> these<br />

specific interactions will vary from system to system. In some cases the radical and/or<br />

monomer reactivity will be altered and in other cases a Bootstrap effect will be evident. It is<br />

worth noting that monomers which are susceptible to strong medium effects will not have<br />

reliable Q-e values, a good example <strong>of</strong> this is 2-hydroxyethyl methacrylate (HEMA) where<br />

there is a large variation in reported values. The reactivity ratios <strong>of</strong> HEMA with STY have<br />

been reported to be strongly dependent on the medium, 113 similarly the copolymerization <strong>of</strong><br />

HEMA with lauryl methacrylate is solvent sensitive; 114 behavior which has been attributed<br />

to non-ideal solution thermodynamics (cf Semchikov’s work in Section 13.2.3.4).<br />

Chapiro 115 has published extensively on the formation <strong>of</strong> molecular associates in<br />

copolymerization involving polar monomers. Other common monomers which show strong<br />

solvent effects are N-vinyl-2-pyrrolidone, (meth)acrylic acids and vinyl pyridines.<br />

13.2.3.4 Bootstrap model<br />

13.2.3.4.1 Basic mechanism<br />

In the Bootstrap model, solvent effects on kp are attributed to solvent partitioning and the resulting<br />

difference between bulk and local monomer concentrations. In this way, a solvent<br />

could affect the measured kp without changing the reactivity <strong>of</strong> the propagation step. Bootstrap<br />

effects may arise from a number <strong>of</strong> different causes. As noted previously, when radical-solvent<br />

and monomer-solvent complexes form and the complexes do not propagate, the<br />

effect <strong>of</strong> complexation is to alter the effective radical or monomer concentrations, thereby<br />

causing a Bootstrap effect. Alternatively, a Bootstrap effect may arise from some bulk preferential<br />

sorption <strong>of</strong> one <strong>of</strong> the comonomers around the growing (and dead) polymer chains.<br />

This might be expected to occur if one <strong>of</strong> monomers is a poor solvent for its resulting polymer.<br />

A Bootstrap effect may also arise from a more localized from <strong>of</strong> preferential sorption,<br />

in which one <strong>of</strong> the monomers preferentially solvates the active chain end, rather than the<br />

entire polymer chain. In all cases, the result is the same: the effective free monomer and/or<br />

radical concentrations differ from those calculated from the monomer feed ratios, leading to<br />

a discrepancy between the predicted and actual propagation rates.<br />

13.2.3.4.2 Copolymerization model<br />

Copolymerization models based upon a Bootstrap effect were first proposed by Harwood 116<br />

and Semchikov 117 (see references cited therein). Harwood suggested that the terminal<br />

model could be extended by the incorporation <strong>of</strong> an additional equilibrium constant relating<br />

the effective and ‘bulk’ monomer feed ratios. Different versions <strong>of</strong> this so-called Bootstrap<br />

model may be derived depending upon the baseline model assumed (such as the terminal<br />

model or the implicit or explicit penultimate models) and the form <strong>of</strong> equilibrium expression<br />

used to represent the Bootstrap effect. In the simplest case, it is assumed that the magni-

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