Abstract：Aiming at the common problems of spectral overlapping and interference in inductively coupled plasma atomic emission spectrometry(ICP-AES),a chemometric resolution method for overlapping peaks based on Gaussian fitting was proposed to improve accuracy of quantitative analysis.Cubic spline interpolation function was used to strengthen the spectrum data,and the overlapping peaks were resolved with Gaussian fitting algorithm.The effectiveness of the resolution method was verified with actual spectral data of ICP-AES.The results showed that resolution capability of Gaussian fitting algorithm was improved by enhancement treatment.The peak position of target spectral peak and interference spectral peak were consistent with the actual values.The relative errors of peak intensity were between 0.40% and 2.69%,and the relative errors of full width at half maximum were between 0.10% and 2.92%,which indicated that overlapping peaks could be resolved accurately with Gaussian fitting algorithm.Based on the spectral data obtained with resolved overlapping peaks,the method for the determination of lead in copper alloy by ICP-AES was established.The linear correlation coefficient of calibration curve was 0.999 9.The peak height algorithm,peak area algorithm in ICP-AES software and Gaussian fitting algorithm for dealing with spectral data had been studied,and minimum relative errors(-4.55%-0.32%) of lead content in the certified reference materials of copper alloy was obtained with Gaussian fitting algorithm.The relative standard deviation(RSD, n=6) of determination results of lead in copper alloy were 1.9%,1.1% and 1.5%,respectively.
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