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JCR 2016
جستجوی مقالات
سه شنبه 25 آذر 1404
Iranian Journal of Chemistry and Chemical Engineering
، جلد ۴۳، شماره ۹، صفحات ۳۲۸۷-۳۲۹۷
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
A New Calibration Methodology for Quantitative Elemental Analysis of Zeolite Compounds through WD-XRF
چکیده انگلیسی مقاله
Considering the growing need for rapid and accurate analysis of zeolites, X-Ray Fluorescence (XRF) spectrometry is a suitable technique for fast analysis without the need for extensive sample preparation. Due to the interaction between the emission of secondary fluorescent radiation and the sample matrix, there is no simple proportion between
the
intensity
of X-ray fluorescence
and t
he content
of elements
, mainly when the matrix contains heavy elements. The matrix effects cannot be reduced
or omitted during sample
treatment
except for the fusion method which is destructive and time-consuming. Consequently, perfect matching between standards and samples
, and adjusting
the calibration based on Certified Reference Materials (CRMs) with a matrix quite similar to the test sample are required
.
Since zeolites are very diverse and CRMs for these materials are not readily available, the semi-quantitative method with low precision and accuracy is inevitably used. The present study describes an innovative XRF calibration method using validated samples and an inert binder
, to make
some matrix-matched standard samples according to the principles of Green Sample Preparation (GSP).
Due to the use of
solid-solid sample preparation,
the
Weighted Least-square linear Regression (WLR) model was applied for the authentic quantitative multi-elemental analysis.
Moreover, the effect of the particle size, spectral line interferences, and moisture content of the samples
on the accuracy of XRF
was assessed. This method was adapted to
determine five major elements
, including Al, K, Na, Si, and La, in the most common type of zeolites like A, Y, and X. Variations represented that the limits of quantification were 0.20%, 0.18%, 0.31%, 0.16%, and 0.010%, respectively.
کلیدواژههای انگلیسی مقاله
XRF,Quantitative analysis,Green sample preparation,Zeolite,UWLR regression
نویسندگان مقاله
Azam Samiei |
Department of Environmental Analytical Chemistry, Faculty of Clean Technologies, Chemistry and Chemical Engineering Research Center of Iran, Tehran, I.R. IRAN
Seyyed Hamid Ahmadi |
Department of Environmental Analytical Chemistry, Faculty of Clean Technologies, Chemistry and Chemical Engineering Research Center of Iran, Tehran, I.R. IRAN
Mahta Badienezhad |
Department of Chemistry, Faculty of Science, University of Guilan, Rasht, I.R. IRAN
Hamed Khani |
Department of Chemistry, Faculty of Science, Imam Khomeini International University, Qazvin, I.R. IRAN
Vahid Ameri |
Behdash Chemical Co. Lia Industrial Park, Qazvin, I.R. IRAN
Azam Khani |
Behdash Chemical Co. Lia Industrial Park, Qazvin, I.R. IRAN
نشانی اینترنتی
https://ijcce.ac.ir/article_714320_ee33d4b42e5a7d7d09894e85cbed6302.pdf
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