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首页> 外文期刊>Analytical and bioanalytical chemistry >Stationary-phase optimized selectivity in supercritical fluid chromatography using a customized Phase OPtimized Liquid Chromatography kit: comparison of different prediction approaches
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Stationary-phase optimized selectivity in supercritical fluid chromatography using a customized Phase OPtimized Liquid Chromatography kit: comparison of different prediction approaches

机译:超临界流体色谱法使用定期优化液相色谱试剂盒的固定相优化选择性:不同预测方法的比较

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The use of stationary-phase optimized selectivity in liquid chromatography (SOS-LC) was shown to be successful for HPLC to analyze complex mixtures using a Phase OPtimized Liquid Chromatography (POPLC) kit. This commercial kit contains five stationary-phase types of varying lengths, which can be coupled to offer an improved separation of compounds. Recently, stationary-phase optimized selectivity supercritical fluid chromatography (SOS-SFC) has been introduced, transferring the methodology to SFC. In this study, the applicability of a customized POPLC expert kit for isocratic SFC runs was explored. Five stationary-phase chemistries were selected as potentially most suitable for achiral separations of polar compounds: aminopropyl (amino), cyanopropyl (CN), diol, ethylpyridine (EP), and silica. The retention factors (k) on the individual stationary phases were used for the prediction of the best stationary-phase combination, based on the POPLC algorithm (via the included software). As an alternative, the best column combination was predicted using multiple linear regression (MLR) models on the results obtained from a simplex centroid mixture design with only three stationary-phase types (amino, silica, and EP). A third approach applied the isocratic POPLC algorithm on the same three stationary-phase data. The proposed combinations were assembled and tested. The predicted and experimental retention factors were compared. The predictions based on the POPLC algorithm provided a stationary phase showing a complete separation of the mixture. The stationary phase suggested by the MLR models, on the other hand, showed co-elution of two compounds, due to an unexpected experimental retention shift. Overall, the customized POPLC kit showed good potential to be applied in SFC.
机译:在液相色谱(SOS-LC)中使用静止相优化选择性的使用是成功的HPLC使用相位优化的液相色谱(POPLC)试剂盒分析复杂混合物。该商业套件包含五种固定相类型的不同长度,可以联接以提供改进的化合物的分离。最近,已经引入了固定相优化选择性超临界流体色谱(SOS-SFC),将方法转移到SFC。在这项研究中,探讨了定制的Poplc专家套件对等家庭证监会运行的适用性。选择五个固定相的化学物质,可能最适合于极性化合物的成立分离:氨基丙基(氨基),氰丙丙基(CN),二醇,乙基吡啶(EP)和二氧化硅。基于poplc算法(通过包括的软件),将个体固定阶段的保留因子(k)用于预测最佳静止相组合。作为替代方案,使用多种线性回归(MLR)模型来预测最佳柱组合,从单纯x质心性混合物设计中获得的结果,仅具有三种固定相类型(氨基,二氧化硅和EP)。第三种方法在相同的三个静止相位数据上应用了等级poplc算法。组装和测试所提出的组合。比较预测和实验保留因子。基于POPLC算法的预测提供了一种静止相,显示混合物的完全分离。另一方面,MLR模型提出的静止阶段由于意外的实验保留偏移而显示出两种化合物的共洗。总的来说,定制的Poplc套件显示出在SFC中应用的良好潜力。

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