A simulation study on the properties of chromatographic peak shape data-handling software based on the Edgeworth-Cramér series is described. The least-squares approximation properties and the peak paramater bias and precision are analysed as a function of peak shape, noise and baseline determination. Applicability limits of the metho and the maximum useful expansion order are defined. Up to a maximum peak skewness (S′) value of 0.7, the mean, the standard deviation, the skewness and the excess can be determined with a precision interval lower than the bias, under normal noise conditions. In the range 0.7 < S < 1.0, the parameter bias is slightly greater than the precision. S values as low as 0.05 can be determined. Optimum values of the signal-to-noise ratio are required for measuring the peak excess. Peak shapes with S > 1.0 cannot be handled in this way. © 1984.
Applicability Limits of the Edgeworth-cramer Series In Chromatographic Peak Shape-analysis
DONDI, Francesco;
1984
Abstract
A simulation study on the properties of chromatographic peak shape data-handling software based on the Edgeworth-Cramér series is described. The least-squares approximation properties and the peak paramater bias and precision are analysed as a function of peak shape, noise and baseline determination. Applicability limits of the metho and the maximum useful expansion order are defined. Up to a maximum peak skewness (S′) value of 0.7, the mean, the standard deviation, the skewness and the excess can be determined with a precision interval lower than the bias, under normal noise conditions. In the range 0.7 < S < 1.0, the parameter bias is slightly greater than the precision. S values as low as 0.05 can be determined. Optimum values of the signal-to-noise ratio are required for measuring the peak excess. Peak shapes with S > 1.0 cannot be handled in this way. © 1984.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
