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Abstract

Two algorithms for the complete automation of background estimation in ICP emission spectroscopy are presented and evaluated. One of these algorithms is based on heuristic spectral interpretation, while the other is based on statistical spectral interpretation. These algorithms both address the weaknesses of the conventionally employed approaches of blank subtraction in calibration and background estimation through interpolation from analyst-selected wavelengths adjacent to the analyte peak. In a rigorous evaluation with synthetic spectra, these algorithms are characterized for performance in terms of accuracy, precision, and robustness. As a demonstration of the algorithms' performance with experimentally measured spectra, a determination of uranium in the presence of a calcium background interference is performed. These algorithms require no analyst interaction for their operation, and they estimate the background for every spectrum measured.

Keywords

Emission spectroscopy Spectral interpretation Background correction Baseline fitting Computer algorithms Synthetic spectra experiments Inductively coupled plasma

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References

Zander

A. T.

, in Inductively Coupled Plasmas in Analytical Atomic Spectrometry, Montaser

and Golightly

D. W

, Eds. (VCH Publishers, New York, 1987), Chap. 6.

Ediger

R. D.

and Hoult

D. W

, Atom. Spectrosc. 1, 41 (1980).

Sobel

H. R.

and Dahlquist

R. L

, Amer. Lab. 152 (1981).

Ediger

R. D.

and Fernandez

F. J

, Atomic Spectrosc. 1, 1 (1980).

Hieftje

G. M.

and Sydor

R. J

, Appl. Spectrosc. 26, 624 (1972).

Larson

G. F.

Fassel

V. A.

Winge

R. K.

and Kniseley

R. N

, Appl. Spectrosc. 30, 384 (1976).

Lorber

Goldbart

and Harel

, Anal. Chem. 57, 2537 (1985).

van Veen

E. H.

and de Loos-Vollebregt

M. T. C

, Spectrochim. Acta 45B, 313 (1990).

Taylor

and Schutyser

, Spectrochim. Acta 41B, 81 (1986).

10.

Janssens

and Francois

J.-P

, Appl. Spectrosc. 46, 283 (1992).

11.

Ivaldi

J. C.

Tracy

Barnard

T. W.

and Slavin

, Spectrochim. Acta 47B, 1361 (1992).

12.

Ediger

R. D.

and Wallace

G. F

, paper delivered at the Federation of Analytical Chemistry and Applied Spectroscopy (Philadelphia) (1983), Abstract 19.

13.

Collins

J. B.

Ivaldi

J. C.

Salit

M. L.

and Slavin

, Atomic Spectrosc. 11, 109 (1991).

14.

Savitzky

and Golay

M. J. E

, Anal. Chem. 36, 1627 (1964).

15.

Liu

and Koenig

, Appl. Spectrosc. 41, 447 (1987).

16.

Miller

J. C.

and Miller

J. N

, in Statistics in Analytical Chemistry (John Wiley and Sons, New York, 1984), pp. 123–124.

17.

Draper

N. R.

and Smith

, in Applied Regression Analysis (John Wiley and Sons, New York, 1981), 2nd ed., pp. 157–162.

18.

Armitage

, in Statistical Methods in Medical Research (John Wiley and Sons, New York, 1971), pp. 415–425.

19.

Run Time Library Reference: Microsoft C for the MS-DOS Operating System (Microsoft Corporation, Redmond, Washington, 1987), p. 479.

20.

Bakry

S. H.

and Shatila

, Computer. Math. Applic. 15, 969 (1988).

Heuristic and Statistical Algorithms for Automated Emission Spectral Background Intensity Estimation

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