An alternative method to estimate the bulk backbiting rate coefficient in acrylate radical polymerizationElectronic supplementary information (ESI) available. See DOI: 10.1039/c6py01468b
Based on a pulsed laser polymerization-size exclusion chromatography (PLP-SEC) analysis, an alternative method to estimate the bulk backbiting rate coefficient k bb in acrylate radical polymerization is presented. For different solvent volume fractions (0-0.75), using the unsaturated analogue of the...
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Sprache: | eng |
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Zusammenfassung: | Based on a pulsed laser polymerization-size exclusion chromatography (PLP-SEC) analysis, an alternative method to estimate the bulk backbiting rate coefficient
k
bb
in acrylate radical polymerization is presented. For different solvent volume fractions (0-0.75), using the unsaturated analogue of the monomer as a solvent to rule out solvent effects, regression analysis is applied to inflection point data in the low frequency range (<
ca.
100 s
−1
) only, which can be scanned with less expensive PLP equipment. Variation of the solvent volume fraction allows the independent alteration of the average mid-chain radical lifetime and improvement in the sensitivity of the method to estimate
k
bb
confidently. The robustness of the method is verified considering
in silico
generated data including large artificial errors. The method is applied to experimental data of 2,2-dimethoxy-2-phenylacetophenone (DMPA) initiated PLP of
n
-butyl acrylate, taking butyl propionate as the solvent. A
k
bb
value of 171 ± 21 s
−1
(303 K) is found, in good agreement with literature data. The method presents a generic approach for the estimation of
k
bb
for other acrylate monomers, allows a complete statistical analysis, and can be used as a complementary tool for existing methods. In the long term, the method can even be extended for the simultaneous estimation of the bulk
k
bb
and mid-chain radical propagation rate coefficient
k
p,m
.
An alternative method to estimate the backbiting rate coefficient in acrylate polymerization is presented and successfully applied to experimental data. |
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ISSN: | 1759-9954 1759-9962 |
DOI: | 10.1039/c6py01468b |