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首页> 外文期刊>Journal of separation science. >Assessment by Monte Carlo simulation of thermodynamic correlation of retention times in dual-column temperature programmed comprehensive two-dimensional gas chromatography
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Assessment by Monte Carlo simulation of thermodynamic correlation of retention times in dual-column temperature programmed comprehensive two-dimensional gas chromatography

机译:通过蒙特卡洛模拟评估双柱温度程序设计的二维二维气相色谱中保留时间的热力学相关性

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The correlation of retention times in comprehensive two-dimensional gas chromatography caused by correlation of enthalpy and entropy changes between two stationary phases, methylsilicone and poly(ethylene glycol), was examined using commercial GC software and in-house Monte Carlo simulation. The enthalpy change, ΔH~0, and entropy change, ΔS~0, of 93 compounds were predicted from isothermal one-dimensional gas chromatograms predicted by the software. These values then were mimicked by Monte Carlo simulation, which removed the strong correlation of ΔH~0 and modest correlation of ΔS~0 between the two phases. Retention times in a comprehensive two-dimensional gas chromatogram (GC * GC) and in simulations of it were predicted for typical dual-capillary temperature-programmed conditions using the actual, correlated values of ΔH~0 and ΔS~0 and their uncorrelated Monte Carlo counterparts, respectively. The uncorrelated ΔH~0 and ΔS~0 values caused the retention-time range of the simulations second dimension to expand substantially beyond that in the GC * GC. Other simulations were developed using a restricted range of uncorrelated ΔH~0 and ΔS~0 values to mimic more closely the retention-time range of the GC * GC's second dimension. The intervals between nearest neighbor retention-time coordinates were calculated in both the latter simulations and the GC * GC. The intervals were larger in the simulations than in the GC * GC because the former contained uncorrelated coordinates and the latter contained correlated ones, which clustered along or near the diagonal. The retention times in the first dimension of the GC * GC were Poisson distributed, as assessed by statistical-overlap theory. In contrast, the two-dimensional reduced retention-time coordinates in the GC * GC were not Poisson distributed, because retention times were correlated. However, the reduced retention-time coordinates in the simulations were Poisson distributed.
机译:使用商业气相色谱软件和内部蒙特卡洛模拟,研究了由二维固定相(甲基硅氧烷和聚乙二醇)之间的焓变和熵变相关引起的全面二维气相色谱中保留时间的相关性。由该软件预测的等温一维气相色谱图可预测93种化合物的焓变ΔH〜0和熵变ΔS〜0。然后通过蒙特卡洛模拟来模拟这些值,这消除了两相之间的ΔH〜0的强相关性和ΔS〜0的适度相关性。使用实际的相关值ΔH〜0和ΔS〜0及其不相关的蒙特卡洛方法,可以预测典型的双毛细管温度编程条件下的二维二维气相色谱(GC * GC)中的保留时间及其模拟结果对应。不相关的ΔH〜0和ΔS〜0值导致模拟第二维的保留时间范围大大超出了GC * GC中的范围。使用有限范围的不相关ΔH〜0和ΔS〜0值开发了其他模拟,以更紧密地模拟GC * GC第二维的保留时间范围。在后面的模拟和GC * GC中都计算了最近邻居保留时间坐标之间的间隔。模拟中的间隔比GC * GC中的间隔大,因为前者包含不相关的坐标,而后者包含相关的坐标,它们沿对角线或接近对角线聚集。通过统计重叠理论评估,GC * GC第一维的保留时间是泊松分布。相反,GC * GC中的二维减少的保留时间坐标不是泊松分布的,因为保留时间是相关的。但是,在模拟中减少的保留时间坐标是泊松分布。

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