首页> 外文期刊>Journal of separation science. >Multivariate approach for the enantioselective analysis in MEKC-MS: 11. Optimization of 1,1'_binaphthyl-2,2'-diamine in positive ion mode
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Multivariate approach for the enantioselective analysis in MEKC-MS: 11. Optimization of 1,1'_binaphthyl-2,2'-diamine in positive ion mode

机译:在MEKC-MS中进行对映选择性分析的多元方法:11.在阳离子模式下优化1,1'_联萘-2,2'-二胺

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摘要

Enantiomeric separation and detection of 1,1'-binaphthyl-2,2'-diamine (BNA) has been successfully optimized by MEKC-ESI-MS using a polymeric surfactant polyso_dium N-undecenoxycarbonyl-L-leucinate (poly-L-SUCL) as a pseudostationary phase. In the first step, MEKC conditions were optimized by a five-factor three-level central composite design (CCD) of experiment. All five MEKC factors (buffer pH, percentage of ACN in the running buffer, concentration of surfactant, concentration of ammo_nium acetate (NH_4OAc), and voltage) were found significant to the responses (meas_ured as the chiral resolution and analysis time). The interactions between MEKC fac_tors were further evaluated using a quadratic model equation which allowed the generation of 3-D response surface image to reach the optimum conditions. To obtain the best S/N, sheath liquid composition and spray chamber parameters were successfully optimized using the same strategy. Baseline enantiomeric resolution in less than 20 min and optimum MS signal of BNA enantiomers (S/N = 45 at 0.4 mg/ mL) were ultimately achieved at the optimized conditions. The adequacy of the model was validated by experimental runs at the optimal predicted conditions. The predicted results were found to be in good agreement with the experimental data.
机译:通过使用聚合物表面活性剂聚N-十一碳氧羰基-L-亮氨酸钠(poly-L-SUCL)的MEKC-ESI-MS成功优化了1,1'-联萘-2,2'-二胺(BNA)的对映体分离和检测作为伪平稳阶段。第一步,通过五因素三级中央复合设计(CCD)实验优化了MEKC条件。发现所有五个MEKC因素(缓冲液pH,运行中的缓冲液中ACN的百分比,表面活性剂的浓度,乙酸铵(NH_4OAc)的浓度和电压)对响应均具有重要意义(以手性拆分和分析时间衡量)。使用二次模型方程式进一步评估了MEKC因子之间的相互作用,该方程式使3-D响应表面图像的生成达到了最佳条件。为了获得最佳的信噪比,使用相同策略成功优化了鞘液成分和喷雾室参数。在优化条件下,最终在不到20分钟的时间内得到了基线对映体分离度和BNA对映体的最佳MS信号(S / N = 45,0.4 mg / mL)。通过在最佳预测条件下进行的实验验证了模型的充分性。发现预测结果与实验数据吻合良好。

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