کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9572199 1388504 2005 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multivariate data analysis for depth resolved chemical classification and quantification of sulfur in SNMS
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
Multivariate data analysis for depth resolved chemical classification and quantification of sulfur in SNMS
چکیده انگلیسی
The quantification of elements in quadrupole based SNMS is hampered by superpositions of atomic and cluster signals. Moreover, the conventional SNMS data evaluation employs only atomic signals to determine elemental concentrations, which not allows any chemical specifications of the determined elements. Improvements in the elemental quantification and additional chemical information can be obtained from kinetic energy analysis and the inclusion of molecular signals into mass spectra evaluation. With the help of multivariate data analysis techniques, the combined information is used for the first time for a quantitative and chemically distinctive determination of sulfur. The kinetic energy analysis, used to solve the interference of sulfur with O2 at masses 32-34 D, turned out to be highly important for the new type of evaluation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Surface Science - Volume 252, Issue 1, 30 September 2005, Pages 252-256
نویسندگان
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