Application of generalized standard additions method to inductively coupled plasma atomic emission spectroscopy with an echelle spectrometer and segmented-array charge-coupled detectors

Luan, Shen; Pang, Ho-ming; Houk, R. S.

doi:10.1016/0584-8547(94)00159-s

Cited by 11 publications

(3 citation statements)

References 47 publications

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“…GSAM can simultaneously correct for spectral interferences, matrix effects and instrument drift 76,77 . The method is particularly effective using an echelle/SCD based system which can simultaneously collect all data points in one spectral window 79 . The spectral overlap of the As 228.812 nm line on the Cd 228.802 nm line was resolved with an accuracy of 1-3% and a precision of 1-4%.…”

Section: Multivariate Calibration Methodsmentioning

confidence: 99%

Improving the Analytical Performances of Inductively Coupled Plasma Optical Emission Spectrometry by Multivariate Analysis Techniques

Grotti

2004

Annali di Chimica

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Section: Multivariate Calibration Methodsmentioning

confidence: 99%

Improving the Analytical Performances of Inductively Coupled Plasma Optical Emission Spectrometry by Multivariate Analysis Techniques

Grotti

2004

Annali di Chimica

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“…Other multivariate methods were applied to ICP spectra for quantitative measurements. As an example, they include: multi-component spectral fitting (which is incorporated in several commercial instrument softwares); 61 matrix projection, which avoids measurement of background species; 75,76 generalised standard addition 77 and Bayesian analysis. 78…”

Section: Inductively Coupled Plasmamentioning

confidence: 99%

A tutorial on multivariate calibration in atomic spectrometry techniques

Cal-Prieto

Gómez-Carracedo

Carlosena

et al. 2008

J. Anal. At. Spectrom.

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Coupling multivariate regression methods to atomic spectrometry is an emerging field from which important advantages can be obtained. These include lower workloads, increased laboratory turnarounds, economy, higher efficiency in method development, and relatively simple ways to take account of complex interferences. In this paper four typical regression methods (ordinary multiple linear regression, principal components regression, partial least squares and artificial neural networks) are presented in a practice-oriented way. The main emphasis is placed on explaining their advantages, drawbacks, how to solve the latter and how atomic spectrometry can benefit from multivariate regression. Finally, a retrospective review considering the last sixteen years is made to present practical applications on: flame-, hydride generation-, electrothermalatomic absorption spectrometry; inductively coupled plasma spectrometry and laser-induced breakdown spectrometry.

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“…The results were accurately corrected when GSAM was employed independent of the matrix utilized. 23 Recently, Marjanovic et al 19 used the simplified GSAM for the analysis of cement, gypsum and basic slurries by ICP-OES. Aluminium, Ca, Fe, Mg, Mn, S and Si were determined and the results were in agreement with the certified values, except for Ca in cement, Ca and Fe in gypsum samples and Al, Mg, and Mn in basic slag.…”

Section: Introductionmentioning

confidence: 99%

Direct analysis of clay and refractory materials slurries by inductively coupled plasma optical emission spectrometry with axial viewing using the simplified generalized standard additions method

Santos

Nóbrega

2007

J. Anal. At. Spectrom.

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The feasibility of clays and refractory materials analysis by direct introduction of slurries in an inductively coupled plasma optical emission spectrometry (ICP-OES) with axial viewing using the simplified generalized standard additions method (GSAM) was evaluated. The adopted approach is a multivariate extension of the conventional standard additions method, and uses two independent variables for determination of the analytes' concentrations (the sample masses and the volumes of reference solutions added) and one dependent variable, the response. The relationship between the sample mass, volume of the reference solution added and the signal intensity is assumed to be linear. Concentrations of the analytes can be found either geometrically, from the slope of the two-dimensional response plane in a three-dimensional space, or mathematically from the ratio of the parameters estimated by multiple linear regression. Aluminium, Ca, Fe, K, Mg, Na, P, Si, and Ti were determined in clays and refractory materials slurries (10% v/v HNO 3 ) of certified reference materials. The software ''Teach/Me'' was used to fit the data. Aluminium oxide was detected in the 0.36-73.0%, CaO in the 0.03-2.13%, Fe 2 O 3 in the 0.56-3.39%, K 2 O in the 0.03-3.58%, MgO in the 0.06-0.47%, Na 2 O in the 0.01-0.45%, P 2 O 5 in the 0.05-0.13%, SiO 2 in the 22.2-98.42% and TiO 2 in the 0.06-1.95% range. Applying a paired t-test it was shown that all results were in agreement at a 95% confidence level with certified values. The application of GSAM was demonstrated as an effective method for the analysis of clays and refractory materials slurries.

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Application of generalized standard additions method to inductively coupled plasma atomic emission spectroscopy with an echelle spectrometer and segmented-array charge-coupled detectors

Cited by 11 publications

References 47 publications

Improving the Analytical Performances of Inductively Coupled Plasma Optical Emission Spectrometry by Multivariate Analysis Techniques

Improving the Analytical Performances of Inductively Coupled Plasma Optical Emission Spectrometry by Multivariate Analysis Techniques

A tutorial on multivariate calibration in atomic spectrometry techniques

Direct analysis of clay and refractory materials slurries by inductively coupled plasma optical emission spectrometry with axial viewing using the simplified generalized standard additions method

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