A method for determining moment values of elution peaks measured by means of high-performance liquid chromatography or capillary electrophoresis.

IF 2 4区 化学 Q3 CHEMISTRY, ANALYTICAL
Kanji Miyabe, Aki Yoshikawa
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引用次数: 0

Abstract

Moment analysis of first absolute (µ1A) and second central (µ2C) moments of elution peaks measured by using high-performance liquid chromatography or capillary electrophoresis is effective for extracting the information about chemical phenomena relating to their separation behavior from equilibrium and kinetic points of view. It is known that elution peak profiles should be integrated to obtain more accurate values of µ1A and µ2C. This means that it is required to appropriately determine the range for integrating the elution peak profiles. Our research group has used a method for determining the start and end points of the integration range. However, it seems that signal noise, baseline drift, and peak asymmetry affects the selection of the integration range and the accuracy in the determination of µ1A and µ2C values of elution peaks. Simulated elution peaks were prepared by adding signal noise of different intensities to a base Gaussian peak and by changing the slope of baseline. Asymmetrical peaks, i.e., tailing and leading, were also prepared by using the Exponentially Modified Gaussian function while changing the degree of asymmetry. The method was applied to choose the start and end points for integrating the simulated elution peaks. Then, the values of µ1A and µ2C were calculated by integrating the simulated elution peak profiles in the integration range. It was tried to clarify how the magnitude of signal noise, baseline drift, and peak asymmetry affect the selection of the integration range of elution peaks and the determination of their µ1A and µ2C values.

用高效液相色谱法或毛细管电泳法测定洗脱峰力矩值的一种方法。
利用高效液相色谱或毛细管电泳对洗脱峰的第一绝对(µ1A)和第二中心(µ2C)矩进行分析,可以有效地从平衡和动力学的角度提取与分离行为相关的化学现象信息。众所周知,为了获得更准确的µ1A和µ2C值,应该整合洗脱峰剖面。这意味着需要适当地确定积分洗脱峰剖面的范围。本课题组采用了一种确定积分范围起点和终点的方法。然而,信号噪声、基线漂移和峰不对称似乎会影响积分范围的选择以及确定洗脱峰µ1A和µ2C值的准确性。通过在一个高斯基峰上加入不同强度的信号噪声并改变基线的斜率来制备模拟洗脱峰。利用指数修正高斯函数,在改变不对称程度的同时,制备出不对称峰,即尾峰和前峰。应用该方法对模拟洗脱峰积分的起始点和结束点进行选择。然后,通过积分范围内模拟洗脱峰剖面计算µ1A和µ2C的值。试图阐明信号噪声、基线漂移和峰不对称的大小如何影响洗脱峰积分范围的选择以及它们的µ1A和µ2C值的确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Sciences
Analytical Sciences 化学-分析化学
CiteScore
2.90
自引率
18.80%
发文量
232
审稿时长
1 months
期刊介绍: Analytical Sciences is an international journal published monthly by The Japan Society for Analytical Chemistry. The journal publishes papers on all aspects of the theory and practice of analytical sciences, including fundamental and applied, inorganic and organic, wet chemical and instrumental methods. This publication is supported in part by the Grant-in-Aid for Publication of Scientific Research Result of the Japanese Ministry of Education, Culture, Sports, Science and Technology.
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