Retention and Bandwidth Predictions by Fast Gradient Elution Chromatography Using a Pillar Array Column
Retention and Bandwidth Predictions by Fast Gradient Elution Chromatography Using a Pillar Array Column
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DOI：
10.15583/jpchrom.2016.008
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发表时间：
2016-07
期刊：
影响因子：
1.7
通讯作者：
Yanting Song;Yanting Song;K. Takatsuki;T. Sekiguchi;T. Funatsu;S. Shoji;M. Tsunoda
中科院分区：
文献类型：
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作者：
Yanting Song;Yanting Song;K. Takatsuki;T. Sekiguchi;T. Funatsu;S. Shoji;M. Tsunoda
此前，我们开发了柱阵列柱梯度洗脱系统，实现了比等度洗脱更快的分离。在本研究中，我们验证了微芯片液相色谱 (LC) 中的梯度洗脱，并使用半经验保留模型研究了快速梯度洗脱色谱中荧光标记脂肪胺的保留和带宽预测。通过三种溶剂强度模型预测不同梯度洗脱方案下的保留时间和峰宽，并与实验结果进行比较。保留时间和峰宽的预测相对误差分别低于 14% 和 12%。结果表明，溶剂强度模型可用于预测微芯片液相色谱系统梯度洗脱下的保留时间和峰宽，并且柱阵列柱的梯度洗脱程序有效运行。保留模型的预测有望成为生物样品中重要化合物鉴定的潜在工具。
Previously, we have developed a gradient elution system for pillar array columns, which achieved faster separation than isocratic elution. In this study, we validated gradient elution in microchip liquid chromatography (LC) and investigated the retention and bandwidth predictions of fluorescently labeled aliphatic amines in fast gradient elution chromatography using semi-empirical retention models. The retention times and peak widths under different gradient elution programs were predicted by three solvent strength models and compared with the experimental results. The relative errors of prediction for the retention times and peak widths were below 14 % and 12 %, respectively. The results showed that the solvent strength models could be utilized for predicting the retention times and peak widths under gradient elution in the microchip LC system and that the gradient elution program for pillar array columns worked efficiently. The prediction by the retention model promises to be a potential tool for essential compound identification in biological samples.