首页> 外文期刊>Journal of High Resolution Chromatography >Linear and Quadratic Relationships between Retention and Organic Modifier Content in Eluent in Reversed Phase High-Performance Liquid Chromatography: A Systematic Comparative Statistical Study
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Linear and Quadratic Relationships between Retention and Organic Modifier Content in Eluent in Reversed Phase High-Performance Liquid Chromatography: A Systematic Comparative Statistical Study

机译:反相高效液相色谱中洗脱液中保留剂和有机改性剂含量之间的线性和二次关系:系统比较统计研究

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摘要

Statistical evaluation of linear and quadratic models of chromatographic retention was performed. The relationships describing reention were derived for a set of 23 carefully selected test analytes chromatographed on 18 HPLC columns using metanol-water or acetonitrile-water solutions as mobile phase. It was ascertained whether the square term in the quadratic model improves the description of chromatographic retention in a statistically significant manner. It was also checked whether the reetntion data extrapolated to a hypothetical neat water eluent (log k_w) obtained with two models and the two organic modifiers are equivalent or should be considered different. The research proved that both models vield similar results and the extrapolated log k_w values do not differs tatistically signficantly in teh case of methanol-containing mobile phases. In the case of acetonitrile-water systems the long k_w values obtained with linear and quadratic models are normally statistically different. Coorelation analysis for log k_w vs. log P parameters was performed for data determined on six columns. The best correlations were achieved employing log k_w data derived with the linear model for methanol/water systems.
机译:对色谱保留的线性和二次模型进行了统计评估。描述重入的关系是针对一组在18个HPLC色谱柱上使用甲醇-水或乙腈-水溶液作为流动相进行色谱分离的23种经过精心选择的测试分析物而得出的。确定二次模型中的平方项是否以统计学上显着的方式改善了色谱保留的描述。还检查了通过两种模型和两种有机改性剂获得的假设净纯水洗脱液(log k_w)的外推数据是否相等或应视为不同。研究证明,这两种模型都具有相似的结果,并且在含甲醇流动相的情况下,外推的log k_w值在统计学上没有显着差异。在乙腈-水系统中,线性和二次模型获得的长k_w值通常在统计上是不同的。对在六列上确定的数据执行log k_w与log P参数的相关分析。使用甲醇/水系统线性模型得出的log k_w数据可实现最佳相关性。

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