Origin and characterization of departures from the statistical model of component-peak overlap in chromatography.
Origin and characterization of departures from the statistical model of component-peak overlap in chromatography.
复制标题
色谱中组分峰重叠统计模型偏差的起源和表征。
DOI：
10.1016/s0021-9673(00)95095-7
复制
发表时间：
1984
期刊：
影响因子：
--
通讯作者：
Giddings,JC
中科院分区：
文献类型：
--
作者：
Davis,JM;Giddings,JC
综述了复杂色谱峰重叠的统计模型。重述了利用该模型从分析物的色谱图中估计分析物中组分数量的步骤。我们注意到，统计模型没有考虑某些真实的层析属性的影响。成分峰密度、幅度范围、不对称性和噪声水平对平均成分数估计的影响是用计算机生成的色谱图经验确定的，并通过方差分析进行量化。我们发现，与模型的微小偏差是由于振幅范围、密度和噪声水平的大小变化引起的。将该模型应用于含有高度不对称成分峰的色谱图时，与理论有很大的偏离。尽管有这些偏差，但使用该模型从含有随机分布的高斯成分峰的色谱图中估计组分数要比从极高分辨率的色谱图中的峰最大值计数一致地更准确。
A statistical model of component-peak overlap in complex chromatograms is reviewed. Procedures for the estimation of the number of components in an analyte from its chromatograms by means of this model are restated. We note that the statistical model does not account for the effects of certain realistic chromatographic attributes. The influences of component-peak density, amplitude range, asymmetry, and noise levels on the estimation of the average component number are determined empirically with computer-generated chromatograms and are quantified by analyses of variance. We find that small departures from the model arise from variations in the magnitude of the amplitude range, density and the noise level. A large departure from theory arises from an application of the model to chromatograms containing highly asymmetric component-peaks. In spite of these departures, the estimation of the component number from chromatograms containing randomly distributed Gaussian component-peaks is uniformly more accurate with the use of the model than from a counting of peak maxima in chromatograms of extraordinarily high resolving power.