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通过对[rac-C(2)H4(1-indenyl)2ZrMe2]-催化 1-己烯聚合的综合动力学建模揭示的机理细节。

Mechanistic detail revealed via comprehensive kinetic modeling of [rac-C(2)H4(1-indenyl)2ZrMe2]-catalyzed 1-hexene polymerization.

机构信息

School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, USA.

出版信息

J Am Chem Soc. 2010 Jan 20;132(2):558-66. doi: 10.1021/ja906332r.

Abstract

Thorough kinetic characterization of single-site olefin polymerization catalysis requires comprehensive, quantitative kinetic modeling of a rich multiresponse data set that includes monomer consumption, molecular weight distributions (MWDs), end group analysis, etc. at various conditions. Herein we report the results obtained via a comprehensive, quantitative kinetic modeling of all chemical species in the batch polymerization of 1-hexene by rac-C(2)H(4)(1-Ind)(2)ZrMe(2) activated with B(C(6)F(5))(3). While extensive studies have been published on this catalyst system, the previously acknowledged kinetic mechanism is unable to predict the MWD. We now show it is possible to predict the entire multiresponse data set (including the MWDs) using a kinetic model featuring a catalytic event that renders 43% of the catalyst inactive for the duration of the polymerization. This finding has significant implications regarding the behavior of the catalyst and the polymer produced and is potentially relevant to other single-site polymerization catalysts, where it would have been undetected as a result of incomplete kinetic modeling. In addition, comprehensive kinetic modeling of multiresponse data yields robust values of rate constants (uncertainties of less than 16% for this catalyst) for future use in developing predictive structure-activity relationships.

摘要

彻底的单活性位烯烃聚合催化动力学特征需要对包括单体消耗、分子量分布(MWD)、端基分析等各种条件下的丰富多响应数据集进行全面、定量的动力学建模。在此,我们报告了通过 rac-C(2)H(4)(1-Ind)(2)ZrMe(2) 催化的 1-己烯间歇聚合中所有化学物种的全面、定量动力学建模获得的结果,该催化剂由 B(C(6)F(5))(3)激活。虽然已经发表了大量关于该催化剂体系的研究,但先前承认的动力学机制无法预测 MWD。我们现在表明,使用一种动力学模型,其中催化事件使 43%的催化剂在聚合过程中失活,就有可能预测整个多响应数据集(包括 MWD)。这一发现对于催化剂和所生产聚合物的行为具有重要意义,并且可能与其他单活性位聚合催化剂有关,由于不完全的动力学建模,在这些催化剂中,这一发现将无法被检测到。此外,对多响应数据的全面动力学建模为未来开发预测结构-活性关系提供了稳健的速率常数值(对于该催化剂,不确定度小于 16%)。

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