Sander L C, Pursch M, Wise S A
National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8392.
Anal Chem. 1999 Nov 1;71(21):4821-30. doi: 10.1021/ac9908187.
In reversed-phase liquid chromatography (RPLC), the separation of compound mixtures of similar polarity can present a significant challenge for the analyst. Examples of such compounds include geometric isomers present in environmental samples (e.g., polycyclic aromatic hydrocarbons, polycyclic aromatic sulfur heterocycles, and polychlorinated biphenyl congeners) and compounds of biological significance (e.g., carotenoids and steroids). In general, compounds with rigid, well-defined molecular shape are best separated using a column with enhanced shape selectivity characteristics. This perspective presents an overview of column properties that influence shape selectivity for constrained solutes. Approaches to the characterization of stationary-phase structure are described, and the findings are correlated with chromatographic performance. Finally, retention models of shape discrimination are presented that are consistent with observed retention behavior. An appreciation for shape recognition effects in RPLC will facilitate method development for certain classes of difficult to resolve compounds.
在反相液相色谱法(RPLC)中,分离极性相似的化合物混合物对分析人员来说可能是一项重大挑战。这类化合物的例子包括环境样品中存在的几何异构体(如多环芳烃、多环芳族硫杂环化合物和多氯联苯同系物)以及具有生物学意义的化合物(如类胡萝卜素和类固醇)。一般来说,具有刚性、明确分子形状的化合物最好使用具有增强形状选择性特征的色谱柱进行分离。本文概述了影响受限溶质形状选择性的色谱柱特性。描述了固定相结构的表征方法,并将研究结果与色谱性能相关联。最后,提出了与观察到的保留行为一致的形状识别保留模型。了解RPLC中的形状识别效应将有助于某些难以分离的化合物类别的方法开发。