Laboratorio de Investigación y Desarrollo en Métodos Analíticos (LIDMA)-CIC-PBA, Facultad de Ciencias Exactas, Universidad Nacional de La Plata (UNLP), Calle 49 y 115 (B1900AJL), La Plata, Argentina; División Química Analítica, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, (UNLP), 47 y 115 (B1900AJL), Ciudad de La Plata, Provincia de Buenos Aires, Argentina.
Laboratorio de Investigación y Desarrollo en Métodos Analíticos (LIDMA)-CIC-PBA, Facultad de Ciencias Exactas, Universidad Nacional de La Plata (UNLP), Calle 49 y 115 (B1900AJL), La Plata, Argentina; División Química Analítica, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, (UNLP), 47 y 115 (B1900AJL), Ciudad de La Plata, Provincia de Buenos Aires, Argentina.
J Chromatogr A. 2024 Aug 16;1729:465042. doi: 10.1016/j.chroma.2024.465042. Epub 2024 Jun 1.
Aqueous mode size exclusion chromatography (SEC) was employed for the analysis and construction of molecular weight (MW) calibration curves of three water-soluble polymers, namely, polyethylene glycol, polyethylene oxide, and polyacrylic acid sodium salt. Several calibration curves were obtained, varying chromatographic conditions such as columns arrangement, ionic strength, temperature and pH, in addition trends in polymeric chromatographic behavior were examined. The variation in SEC distribution coefficients at different temperatures was found to be below 10 %, indicating that the studied polymers follow an ideal SEC mechanism under the tested conditions. Thus, differences in chromatographic behavior were ascribed to changes in polymer configuration induced by media and/or temperature. These variations in morphology were consistent with the observed SEC behavior. Regarding MW calibration, polynomial regression models ranging from first to fifth order were applied, and the most adequate ones were selected based on their fit and prediction capabilities. Third order polynomials were the preferred models for polyethylene glycol and polyacrylic acid sodium salt, independently of chromatographic conditions. Meanwhile for polyethylene oxide, either third or fifth-order polynomial models were optimal depending on the chromatographic conditions. All the selected regression models presented coefficients of multiple determination (R) above 0.990, while achieving relative errors of prediction (REP%) in MW ranging from 0.3 to 4 % for cross-validation.
水相体积排阻色谱(SEC)用于分析和构建三种水溶性聚合物(聚乙二醇、聚氧化乙烯和聚丙烯酸钠)的分子量(MW)校准曲线。通过改变色谱条件,如柱子排列、离子强度、温度和 pH 值,获得了多条校准曲线,并考察了聚合物色谱行为的趋势。在不同温度下,SEC 分配系数的变化低于 10%,表明在所测试的条件下,研究的聚合物遵循理想的 SEC 机制。因此,色谱行为的差异归因于介质和/或温度引起的聚合物构象变化。这些形态变化与观察到的 SEC 行为一致。关于 MW 校准,应用了从一阶到五阶的多项式回归模型,并根据其拟合和预测能力选择最合适的模型。对于聚乙二醇和聚丙烯酸钠,三阶多项式是首选模型,独立于色谱条件。而对于聚氧化乙烯,三阶或五阶多项式模型取决于色谱条件。所有选择的回归模型的多重决定系数(R)均高于 0.990,而在交叉验证中,MW 的预测相对误差(REP%)在 0.3%到 4%之间。