Mechanistically Guided Predictive Models for Ligand and Initiator Effects in Copper-Catalyzed Atom Transfer Radical Polymerization (Cu-ATRP)
Тип публикации: Journal Article
Дата публикации: 2019-04-12
SCImago Q1
Tоп 10% SCImago
WOS Q1
БС1
SJR: 5.491
CiteScore: 22.5
Impact factor: 15.6
ISSN: 00027863, 15205126
PubMed ID:
30977644
General Chemistry
Catalysis
Biochemistry
Colloid and Surface Chemistry
Краткое описание
Copper-catalyzed atom transfer radical polymerization (Cu-ATRP) is one of the most widely used controlled radical polymerization techniques. Notwithstanding the extensive mechanistic studies in the literature, the transition states of the activation/deactivation of the growing polymer chain, a key equilibrium in Cu-ATRP, have not been investigated computationally. Therefore, the understanding of the origin of ligand and initiator effects on the rates of activation/deactivation is still limited. Here, we present the first computational analysis of Cu-ATRP activation transition states to reveal factors that affect the rates of activation and deactivation. The Br atom transfer between the polymer chain and the Cu catalyst occurs through an unusual bent geometry that involves pronounced interactions between the polymer chain end and the ancillary ligand on the Cu catalyst. Therefore, the rates of activation/deactivation are determined by both the electronic properties of the Cu catalyst and the ligand-initiator steric repulsions. In addition, our calculations revealed the important role of ligand backbone flexibility on the activation. These theoretical analyses led to the identification of three chemically meaningful descriptors, namely HOMO energy of the catalyst ( EHOMO), percent buried volume ( Vbur%), and distortion energy of the catalyst (Δ Edist), to describe the electronic, steric, and flexibility effects on reactivity, respectively. A robust and simple predictive model for ligand effect on reactivity is thereby established by correlating these three descriptors with experimental activation rate constants using multivariate linear regression. Validation using a structurally diverse set of ligands revealed the average error is less than ±2 kcal/mol compared to the experimentally derived activation energies. The same approach was also applied to develop a predictive model for reactivity of different alkyl halide initiators using R-X bond dissociation energy (BDE) and Cu-X halogenophilicity as descriptors.
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Fang C. et al. Mechanistically Guided Predictive Models for Ligand and Initiator Effects in Copper-Catalyzed Atom Transfer Radical Polymerization (Cu-ATRP) // Journal of the American Chemical Society. 2019. Vol. 141. No. 18. pp. 7486-7497.
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Fang C., Fantin M., Pan X., De Fiebre K., Coote M. L., Matyjaszewski K., Liu P. Mechanistically Guided Predictive Models for Ligand and Initiator Effects in Copper-Catalyzed Atom Transfer Radical Polymerization (Cu-ATRP) // Journal of the American Chemical Society. 2019. Vol. 141. No. 18. pp. 7486-7497.
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TY - JOUR
DO - 10.1021/jacs.9b02158
UR - https://doi.org/10.1021/jacs.9b02158
TI - Mechanistically Guided Predictive Models for Ligand and Initiator Effects in Copper-Catalyzed Atom Transfer Radical Polymerization (Cu-ATRP)
T2 - Journal of the American Chemical Society
AU - Fang, Cheng
AU - Fantin, Marco
AU - Pan, Xiangcheng
AU - De Fiebre, Kurt
AU - Coote, Michelle L.
AU - Matyjaszewski, Krzysztof
AU - Liu, Peng
PY - 2019
DA - 2019/04/12
PB - American Chemical Society (ACS)
SP - 7486-7497
IS - 18
VL - 141
PMID - 30977644
SN - 0002-7863
SN - 1520-5126
ER -
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@article{2019_Fang,
author = {Cheng Fang and Marco Fantin and Xiangcheng Pan and Kurt De Fiebre and Michelle L. Coote and Krzysztof Matyjaszewski and Peng Liu},
title = {Mechanistically Guided Predictive Models for Ligand and Initiator Effects in Copper-Catalyzed Atom Transfer Radical Polymerization (Cu-ATRP)},
journal = {Journal of the American Chemical Society},
year = {2019},
volume = {141},
publisher = {American Chemical Society (ACS)},
month = {apr},
url = {https://doi.org/10.1021/jacs.9b02158},
number = {18},
pages = {7486--7497},
doi = {10.1021/jacs.9b02158}
}
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MLA
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Fang, Cheng, et al. “Mechanistically Guided Predictive Models for Ligand and Initiator Effects in Copper-Catalyzed Atom Transfer Radical Polymerization (Cu-ATRP).” Journal of the American Chemical Society, vol. 141, no. 18, Apr. 2019, pp. 7486-7497. https://doi.org/10.1021/jacs.9b02158.
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