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Analytical and Bioanalytical Chemistry Research، جلد ۳، شماره ۱، صفحات ۶۵-۷۲

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عنوان انگلیسی Determination of 137Ba Isotope Abundances in Water Samples by Inductively Coupled Plasma-optical Emission Spectrometry Combined with Least-squares Support Vector Machine Regression
چکیده انگلیسی مقاله A simple and rapid method for the determination of 137Ba isotope abundances in water samples by inductively coupled plasma-optical emission spectrometry (ICP-OES) coupled with least-squares support vector machine regression (LS-SVM) is reported. By evaluation of emission lines of barium, it was found that the emission line at 493.408 nm provides the best results for the determination of 137Ba abundances. After recording the emission spectra in the range of 493.362-493.467 nm, quantification of 137Ba abundances was performed with the aid of LS-SVM algorithm. The obtained results revealed that using LS-SVM as a nonlinear modeling approach improves the predictive quality of the developed models compared with partial least squares (PLS) method. The calculated results proved that the combination of ICP-OES and LS-SVM is a suitable and low cost technique for the determination of 137Ba abundances. Performance of the proposed method was examined through measuring 137Ba abundances in synthetic mixtures and water samples.
کلیدواژه‌های انگلیسی مقاله 137Ba,ICP-OES,LS-SVM,PLS

نویسندگان مقاله احسان zolfonoun |
nfcrs, nuclear science and technology research institute, tehran, iran

سید محمد رضا پاکزاد | seyad mohammad reza
nfcrs, nuclear science and technology research institute, tehran, iran

مریم صلاحی نژاد |
environmental laboratory, nstri, tehran, iran


نشانی اینترنتی http://www.analchemres.org/article_14143_ec306c8d105ced9138ce6d0b7fbbe25a.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/378/article-378-332570.pdf
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زبان مقاله منتشر شده en
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