Shuguang Xiang, Jiye Wang. Quantum chemical descriptors based QSAR modeling of neodymium carboxylate catalysts for coordination polymerization of isoprene[J]. Chinese Journal of Chemical Engineering, 2020, 28(7): 1805-1808.
DOI:
Shuguang Xiang, Jiye Wang. Quantum chemical descriptors based QSAR modeling of neodymium carboxylate catalysts for coordination polymerization of isoprene[J]. Chinese Journal of Chemical Engineering, 2020, 28(7): 1805-1808.DOI: 10.1016/j.cjche.2019.07.018.
Quantum chemical descriptors based QSAR modeling of neodymium carboxylate catalysts for coordination polymerization of isoprene
Based on the quantum chemical descriptors and the activities for isoprene polymerization of 12 neodymium carboxylates obtained by authors' earlier work
statistical analysis of data was made and a QSAR model correlating the quantum chemical descriptors and the activity was built with the partial least square (PLS) approach. The model is:
A
= 51602
ε
HOMO
+ 6
σ
+ 12546
which indicates that the catalytic activity
A
is positively correlated with the HOMO energy
ε
HOMO
and the ligand polarizability
σ
with the contribution of
σ
being larger
ε
HOMO
smaller. The model's coefficient of determination
r
2
= 0.96 and that of cross validation
q
2
= 0.94
both being close to 1
which means that its quality is well and its predictive power is strong. Analysis of the modeling process and the resulted QSAR model
together with the interpretation of the model's mechanism
also shows that the model obtained from this study is valid and reliable. According to the QSAR model
the mechanism of catalyst activity can be interpreted as that neod
ymium carboxylates with higher HOMO energy and larger ligand polarizability are easier to react with the co-catalysts so as to produce more active and stable centers of catalyst
resulting in a higher activity.
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