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溶剂梯度尺寸排阻色谱法在聚合物分析中的原理及潜力。

Principles and potential of solvent gradient size-exclusion chromatography for polymer analysis.

机构信息

Analytical-Chemistry Group, van 't Hoff Institute for Molecular Sciences, Faculty of Science, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, the Netherlands; Centre for Analytical Sciences Amsterdam (CASA), the Netherlands.

Centre for Analytical Sciences Amsterdam (CASA), the Netherlands; Division of Bioanalytical Chemistry, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

出版信息

Anal Chim Acta. 2023 May 1;1253:341041. doi: 10.1016/j.aca.2023.341041. Epub 2023 Mar 4.

Abstract

The properties of a polymeric material are influenced by its underlying molecular distributions, including the molecular-weight (MWD), chemical-composition (CCD), and/or block-length (BLD) distributions. Gradient-elution liquid chromatography (LC) is commonly used to determine the CCD. Due to the limited solubility of polymers, samples are often dissolved in strong solvents. Upon injection of the sample, such solvents may lead to broadened or poorly shaped peaks and, in unfavourable cases, to "breakthrough" phenomena, where a part of the sample travels through the column unretained. To remedy this, a technique called size-exclusion-chromatography gradients or gradient size-exclusion chromatography (gSEC) was developed in 2011. In this work, we aim to further explore the potential of gSEC for the analysis of the CCD, also in comparison with conventional gradient-elution reversed-phase LC, which in this work corresponded to gradient-elution reversed-phase liquid chromatography (RPLC). The influence of the mobile-phase composition, the pore size of the stationary-phase particles, and the column temperature were investigated. The separation of five styrene/ethyl acrylate copolymers was studied with one-dimensional RPLC and gSEC. RPLC was shown to lead to a more-accurate CCD in shorter analysis time. The separation of five styrene/methyl methacrylate copolymers was also explored using comprehensive two-dimensional (2D) LC involving gSEC, i.e. SEC × gSEC and SEC × RPLC. In 2D-LC, the use of gSEC was especially advantageous as no breakthrough could occur.

摘要

聚合物材料的性能受其基础分子分布的影响,包括分子量分布(MWD)、化学组成分布(CCD)和/或嵌段长度分布(BLD)。梯度洗脱液相色谱(LC)常用于确定 CCD。由于聚合物的溶解度有限,样品通常溶解在强溶剂中。在进样时,这些溶剂可能导致峰宽或形状不佳,在不利的情况下,还会出现“穿透”现象,即一部分样品未经保留而通过柱子。为了解决这个问题,一种称为尺寸排阻色谱梯度或梯度尺寸排阻色谱(gSEC)的技术于 2011 年开发。在这项工作中,我们旨在进一步探索 gSEC 用于分析 CCD 的潜力,也与传统的梯度洗脱反相 LC 进行比较,在这项工作中,梯度洗脱反相液相色谱(RPLC)对应于梯度洗脱反相 LC。考察了流动相组成、固定相颗粒孔径和柱温对分离的影响。用一维 RPLC 和 gSEC 研究了五种苯乙烯/丙烯酸乙酯共聚物的分离。结果表明,RPLC 在更短的分析时间内可得到更准确的 CCD。还使用涉及 gSEC 的二维(2D)LC 对五种苯乙烯/甲基丙烯酸甲酯共聚物进行了分离,即 SEC×gSEC 和 SEC×RPLC。在 2D-LC 中,gSEC 的使用尤其有利,因为不会发生穿透。

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