Precision-based optimization of multicomponent analysis in inductively coupled plasma mass spectrometry

Abstract To arrive at rapid, precise and automated survey analysis in inductively coupled plasma mass spectrometry (ICP-MS), the measurement and data reduction of full-range mass scans ( m z = 6−238 ) have been investigated. The way mass spectra are scanned has been optimized with respect to short- and long-term precision. Three internal standards are needed to correct for changes in mass bias. An expression for the precision or relative standard deviation (RSD) as a function of the measured mass intensity has been derived in terms of source flicker and ion shot noise. Our formerly introduced multicomponent analysis approach has been optimized with respect to the construction of the modelling matrix. An automated interpretation system with a data base of interferents has been incorporated in the software. The optimization procedures use criteria based on the RSD function. Detection limits for Hf in solutions for the pure component and for the magnetic material NdFeB characterize the final approach. By only using the information available in the full-range mass scan, the approach results in concentrations and true detection limits in the sample solution for all elements.