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Automation of gas chromatography instruments .1. Automated peak identification in the chromatograms of standard test mixtures

机译:气相色谱仪自动化.1。标准测试混合物色谱图中的自动峰识别

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The evaluation of the chromatogram recorded during the gas chromatographic analysis of a standard test mixture is of importance in the assessment of the performance of the underlying GC system. Automated evaluation is essential in the development of software that can be used in systems that can perform totally automated analysis. In this study, an algorithm for automated peak identification in the chromatogram of the standard test mixture has been developed. In the proposed method, a specified test mixture is analyzed and the resultant chromatogram is stored. Peak identification for this experimentally determined chromatogram, which it is assumed will incorporate all recurring problems that might exist for all analyses, is accomplished by matching the measured peaks with peaks in the reference chromatogram The proposed algorithm is partly based on information theory and partly on chemical knowledge about the standard test mixture. The algorithm may be used to identify highly distorted peaks, peak retention time shifts (both positive and negative with respect to the reference chromatogram), missing peaks, and irregular peak retention times (shifts in both directions for different peaks). The program gives the user the ability to display the chromatogram and calculate four peak parameters from the experimental results of the test mixture under consideration: (i) peak retention time, (ii) the peak area counts, (iii) the peak width, and (iv) the asymmetry factor of the peak. Satisfactory performance is obtained using a set of simulated data that exhibit a range of problems that commonly occur in gas chromatograms as analyses proceed over time. (C) 1997 Elsevier Science B.V.
机译:在标准测试混合物的气相色谱分析过程中记录的色谱图评估对基础气相色谱系统的性能评估非常重要。在可用于执行完全自动化分析的系统中使用的软件开发中,自动化评估至关重要。在这项研究中,已经开发了一种在标准测试混合物色谱图中自动进行峰识别的算法。在提出的方法中,分析指定的测试混合物并存储所得色谱图。该实验确定的色谱图的峰识别被假定将合并所有分析可能存在的所有重复出现的问题,这是通过将测得的峰与参考色谱图中的峰进行匹配来完成的。提出的算法部分基于信息论,部分基于化学有关标准测试混合物的知识。该算法可用于识别高度失真的峰,峰保留时间偏移(相对于参考色谱图为正值和负值),丢失的峰以及不规则的峰保留时间(不同峰沿两个方向的偏移)。该程序使用户能够显示色谱图并根据所考虑的测试混合物的实验结果计算四个峰参数:(i)峰保留时间,(ii)峰面积计数,(iii)峰宽和(iv)峰的不对称因子。使用一组模拟数据可以获得令人满意的性能,这些模拟数据显示了随着时间的推移分析在气相色谱图中通常会出现的一系列问题。 (C)1997年Elsevier Science B.V.

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