端柱反相色谱法作为一种增强分离的新方法:试点研究。

Mostafa Soliman
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摘要

背景:目前,气相色谱法(GC)中最流行的技术是 "温度编程",即从进样开始温度就不断升高。与等温方法相比,这种方法洗脱分析物的速度更快。不过,等温方法被认为是分离保留时间相近的化合物的最佳方法。另一种可提供更高分辨率的有趣技术是动态热梯度气相色谱法(TGGC)。这样正气体速度会逐渐降低。然而,事实证明,采用负速度梯度的气相色谱技术并不能提高保留时间几乎相同的化合物的分辨率:目标:优化一种新的气相色谱方法,将正向温度梯度编程的短时间与 TGGC 负向梯度的增强分离结合起来,即 "末端柱反向色谱法":该过程简单来说由两步组成,第一步是从进样开始的正常正斜坡,第二步是在第一个洗脱峰的保留时间前后的负热斜坡。这将几乎只降低第二个化合物的溶质速度,从而相对提高分离度:优化后的 ECRC 方法提高了两种异构体(反式和顺式氯丹)的分辨能力,从温度编程时的 1(略有重叠)提高到本研究中的 2.78。顺式和反式氯丹的峰宽和强度分别降低了约 17% 和 12%,峰宽则分别增加了 37% 和 77%:结论:ECRC 是一种新型的增强分离模式,但也存在一些缺点:亮点:这是一种快速气相色谱方法的替代方法,可提高异构体的分离效果。
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End Column Reverse Chromatography as a Novel Approach for Enhanced Separation: A Pilot Study.

Background: Currently, the most popular technique in gas chromatography (GC) is "temperature programming," where the temperature increases from the start of the injection. This leads to faster elution of analytes compared to isothermal methods. However, isothermal methods are considered optimal for separating compounds with similar retention times. Another interesting technique that provides higher resolution is dynamic thermal gradient gas chromatography (TGGC), where separations are achieved as a decreasing thermal gradient. This gradually decreases the positive gas velocity. Nevertheless, it was proven that GC techniques with negative velocity gradients do not improve the resolution of compounds with nearly identical retention times.

Objective: Optimizing a new GC approach to combine both the short time from positive temperature ramps programming, and the enhanced separation of the negative ramps of the TGGC, a model under the name of "end column reverse chromatography" (ECRC).

Methods: The process simply consists of two steps: the first is a normal positive ramp from the start of the injection, and the second step is a negative thermal ramp at a time that is around the retention time of the first eluting peak. This will decrease the solute velocity almost solely for the second compound, leading to relatively enhanced separation.

Results: The optimized ECRC method increased the resolution of two isomers (trans- and cis-chlordane) from 1 (slightly overlapping) in the case of temperature programming to 2.78 as shown in this study. This comes at the expense of the width and intensity of the peaks, where the intensity decreased about 17 and 12% for cis- and trans-chlordane, and the peak width increased with 37 and 77% for the same compounds, respectively.

Conclusions: ECRC is a novel model for enhanced separation that comes with some drawbacks.

Highlights: It can be an alternative approach to get a fast GC method with enhanced separation for isomers.

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