metabolite peaks, there is a distinct possibility for anomaly to occur due to the saturation of ion trap causing a reduced dynamic linear range and hence limiting the applicability of the traditional linear regression of the calibration curves. Another recently published work by Singtoroj et al. (2006) supports the use of log-log regression-the authors point out that the quality of bioanaytical data, largely influenced by the operational parameters and mass spectrometric/chromatographic conditions, determines the selection of an appropriate regression approach for the unbiased calibration of the standard curves. On the basis of the data set evaluated, it was concluded that regression of log-log transformed data may be a better option than the traditional linear regression . In another situation for quantitative analysis of piperaquine in urine samples, Tarning et al. (2006) had successfully used linear regression model on the log-log transformed concentration data. The above approaches and/or views were expressed by other researchers more than a decade ago, applied to the field of biopharmaceutical analyses (Karnes and March, 1991) and/or for computing concentration to support the field of clinical pharmacology (Szabo et al., 1994).