Recommendation for Accurate Experimental Determination of Reactivity Ratios in Chain Copolymerization
Recommendation for Accurate Experimental Determination of Reactivity Ratios in Chain Copolymerization
复制标题
链共聚反应活性比准确实验测定的建议
DOI：
10.1021/acs.macromol.8b01752
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发表时间：
2019
期刊：
影响因子：
5.5
通讯作者：
B. Beckingham
中科院分区：
文献类型：
--
作者：
Nathaniel A. Lynd;R. Ferrier;B. Beckingham
在规定的竞聚率下的一组共聚数据被数值生成，然后使用常见的数据分析方法拟合，包括共聚物方程、Fineman-Ross、Kelen-Tudos和数据分析的综合方法，例如Beckingham、Sanoja和Lynd以及Meyer和Lowry报道的那些。值得注意的是，基于共聚物方程的非整合方法返回系统不准确的竞聚率，而整合方法在560个计算数据集上产生一致准确的竞聚率。因此，为了以最大的准确度和效率确定竞聚率，我们建议将共聚数据同时拟合到Beckingham-Sanoja-Lynd（BSL）和Meyer-Lowry（ML）报告的模型中。如果竞聚率是一致的，那么共聚的非末端模型充分地描述了具有单一竞聚率参数的共聚。如果BSL和ML之间的竞聚率存在差异，..
A set of copolymerization data at prescribed reactivity ratios was numerically generated and then fit using common methods of data analysis including the copolymer equation, Fineman–Ross, Kelen–Tudos, and integrated methods of data analysis, such as those reported by Beckingham, Sanoja, and Lynd, and Meyer and Lowry. Significantly, the nonintegrated approaches based on the copolymer equation returned systemically inaccurate reactivity ratios, whereas the integrated methods produced consistently accurate reactivity ratios across 560 calculated data sets. Hence, to determine reactivity ratios with the greatest accuracy and efficiency, we recommend that copolymerization data be fit simultaneously to the models reported by Beckingham–Sanoja–Lynd (BSL) and Meyer–Lowry (ML). If the reactivity ratios are consistent, then a nonterminal model of copolymerization adequately describes the copolymerization with a single reactivity ratio parameter. If there is a difference in the reactivity ratios between BSL and ML, ...