Comparison of Data Smoothing Techniques as Applied to Electrothermal Atomic Absorption Spectrometry
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A. Economou and P. R. Fielden
Abstract
Detection of trace metals by electrothermal atomic absorption spectrometry ETAAS at low concentrations is limited by the noise in the measurement system. In this work, three noise reduction techniques, namely digital filtering (recursive time domain and non recursive time domain), modified simplex function fitting and adaptive Wiener filtering, were applied to the determination of lead by ETAAS at low concentration levels. The three methods are based on different formal and operational principles to realise the same goal of noise reduction. The results obtained from the application of these three techniques are compared, the factors that must be considered in each case are discussed and the relative advantages and drawbacks of each technique are pointed out.
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