title: Evaluation of the asymmetric least squares baseline algorithm through the accuracy of statistical peak moments.
abstract: This manuscript evaluates the performance of the Eilers' smoothing algorithm by comparing the third central statistical peak moment of simulated peaks to their true value. Peaks were simulated by imposing an exponentially modified Gaussian peak profile onto a random segment of pre-recorded high performance liquid chromatography baseline. Prior to moment calculation the noise was removed from the simulated curves and the signal was subtracted by the approximated baseline. We found that with a signal to noise ratio of 1000 an 11% relative error was observed between the practical and true third statistical moment. The Eilers' smoothing algorithm was observed to both reduced noise and baseline correct without distorting the shape of the chromatographic peak.
authors: Centre of Chemistry and Biotechnology, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Victoria 3220, Australia. paul.stevenson@deakin.edu.au
authors: Paul G
authors: PG
authors: Stevenson
authors: Xavier A
authors: XA
authors: Conlan
authors: Neil W
authors: NW
authors: Barnett
mesh_terms: D000465:Algorithms; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D016018:Least-Squares Analysis; D015233:Models, Statistical; D059629:Signal-To-Noise Ratio