Pooria Taghavi Moghaddam
1, Mohammad Reza Pipelzadeh
2, Sholeh Nesioonpour
2, Nader Saki
3, Saeed Rezaee
1,4,5*1 Department of Pharmaceutics, School of Pharmacy, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
2 Anesthesia Department, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
3 Department of Otolaryngology, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
4 Nanotechnology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
5 Department of Pharmaceutics, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran. (Current affiliation)
Abstract
Purpose: The aim of this study
was to select the best calibration model for determination of propofol plasma
concentration by high-performance liquid chromatography method.
Methods: Determination of
propofol in plasma after deproteinization with acetonitrile containing thymol
(as internal standard) was carried out on a C18
column with a mixture of acetonitrile and trifluoroacetic acid 0.1%
(60:40) as mobile phase which delivered at the flow rate of 1.2 mL/minute .
Fluorescence detection was done at the excitation and emission wavelengths of
276 and 310 nm, respectively. After fitting different equations to the
calibration data using weighted regression, the adequacy of models were
assessed by lack-of-fit test, significance of all model parameters, adjusted
coefficient of determination (R2adjusted) and by
measuring the predictive performance with median relative prediction error and
median absolute relative prediction error of the validation data set.
Results: The best model was a
linear equation without intercept with median relative prediction error and
median absolute relative prediction error of 4.0 and 9.4%, respectively in the
range of 10-5000 ng/mL. The method showed good accuracy and precision.
Conclusion: The presented
statistical framework could be used to choose the best model for
heteroscedastic calibration data for analytes like propofol with wide range of
expected concentration.