Results of a Cooperative Study Comparing the Precision of Peak Height and Area Measurements in Liquid Chromatography

McCoy, Robert W.; Aiken, Robert L.; Pauls, R. E.; Ziegel, Eric R.; Wolf, Thomas M.; Fritz, G.T.; Marmion, Daniel M

doi:10.1093/chromsci/22.10.425

Journal of Chromatographic Science

1984

DOI: 10.1093/chromsci/22.10.425

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Results of a Cooperative Study Comparing the Precision of Peak Height and Area Measurements in Liquid Chromatography

Robert W. McCoy

Robert L. Aiken

R. E. Pauls

et al.

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Cited by 21 publications

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“…Height is better than area especially if peaks are poorly resolved; , it is less affected by asymmetry and overlap (high asymmetry increases overlap probability). , Over a large concentration span, linearity of area is better and area is preferred for better accuracy and precision. , Noise filtration may affect peak height but not area . However, both are affected by detector nonlinearity.…”

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Width Based Quantitation of Chromatographic Peaks: Principles and Principal Characteristics

Kadjo

Dasgupta

et al. 2017

Anal. Chem.

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Height- and area-based quantitation reduce two-dimensional data to a single value. For a calibration set, there is a single height- or area-based quantitation equation. High-speed high-resolution data acquisition now permits rapid measurement of the width of a peak (W), at any height h (a fixed height, not a fixed fraction of the peak maximum) leading to any number of calibration curves. We propose a width-based quantitation (WBQ) paradigm complementing height or area based approaches. When the analyte response across the measurement range is not strictly linear, WBQ can offer superior overall performance (lower root-mean-square relative error over the entire range) compared to area- or height-based linear regression methods, rivaling weighted linear regression, provided that response is uniform near the height used for width measurement. To express concentration as an explicit function of width, chromatographic peaks are modeled as two different independent generalized Gaussian distribution functions, representing, respectively, the leading/trailing halves of the peak. The simple generalized equation can be expressed as W = p(ln h̅), where h̅ is h/h, h being the peak amplitude, and p and q being constants. This fits actual chromatographic peaks well, allowing explicit expressions for W. We consider the optimum height for quantitation. The width-concentration relationship is given as ln C = aW + b, where a, b, and n are constants. WBQ ultimately performs quantitation by projecting h from the width, provided that width is measured at a fixed height in the linear response domain. A companion paper discusses several other utilitarian attributes of width measurement.

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Width Based Quantitation of Chromatographic Peaks: Principles and Principal Characteristics

Kadjo

Dasgupta

et al. 2017

Anal. Chem.

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Assessment of the results from data processing systems using a digital chromatogram simulator

Hunt

1985

J. High Resol. Chromatogr.

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SummaryA digital chromatogram simulator has been used to evaluate the performance of data handling systems. The simulator can synthesize chromatograms with any desired shape from a library of peaks based on real peak shapes. Once generated, the chromatograms can be reproduced exactly any number of times.The algorithms used in data handling systems have a significant effect on the results they produce. An object of this workwas to examine how well the true size of a peak was reported when the peak was detected overlapping with other peaks. A series of experiments was therefore performed in which peaks wereoverlapped by different amounts and in different situations. The reported results from the data systems were compared with the results which would have been reported had the peaks been fully resolved. A significant difference was found between the overlap results and the fully resolved results, which did not have a linear relationship with the parameters tested.The chromatogram simulator was found to be a powerful tool in assessing the performance of the data systems. It offers a valuable means of evaluating the quality of the results produced by these systems.

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Comparison of the precision of internal and external standard calibration in an interlaboratory liquid chromatographic study

Pauls¹,

McCoy²

1986

J. High Resol. Chromatogr.

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Results of a Cooperative Study Comparing the Precision of Peak Height and Area Measurements in Liquid Chromatography

Cited by 21 publications

References 0 publications

Width Based Quantitation of Chromatographic Peaks: Principles and Principal Characteristics

Width Based Quantitation of Chromatographic Peaks: Principles and Principal Characteristics

Assessment of the results from data processing systems using a digital chromatogram simulator

Comparison of the precision of internal and external standard calibration in an interlaboratory liquid chromatographic study

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