Silicate rock analysis by energy-dispersive X-ray fluorescence using a cobalt anode X-ray tube. Part I. Optimisation of excitation conditions for chromium, vanadium, barium and the major elements

1986 ◽  
Vol 1 (6) ◽  
pp. 467 ◽  
Author(s):  
Philip J. Potts ◽  
Peter C. Webb ◽  
John S. Watson
Keyword(s):  
Major Elements ◽  
Silicate Rock ◽  
Energy Dispersive ◽  
X Ray ◽  
Rock Analysis ◽  
Excitation Conditions

ANALYSIS OF INDIAN SILVER COINS BY EDXRF TECHNIQUE

2009 ◽  
Vol 19 (03n04) ◽  
pp. 167-173 ◽  
Author(s):  
B. B. TRIPATHY ◽  
T. R. RAUTRAY ◽  
SATYA R. DAS ◽  
MANAS R. DAS ◽  
V. VIJAYAN
Keyword(s):  
Major Elements ◽  
Energy Dispersive ◽  
Fluorescence Technique ◽  
X Ray ◽  
British Rule ◽  
Edxrf Technique ◽  
Minor Concentration

The analysis of some of the Indian silver coins during British rule were analysed by Energy Dispersive X-Ray Fluorescence Technique. Eight elements namely Cr , Fe , Ni , Cu , Zn , As , Ag and Pb were estimated in this study which also seems to indicate the fragmentation as well as the impoverishment of the power for the regimes that had produced the studied coins. While Cu and Ag were present as major elements, other elements were found to be present in minor concentration.

Manganese and Iron in Globoid Crystals of Protein Bodies From Avena and Casuarina

1978 ◽  
Vol 5 (5) ◽  
pp. 631 ◽  
Author(s):  
MS Buttrose
Keyword(s):  
Chemical Analysis ◽  
Avena Sativa ◽  
Storage Protein ◽  
Major Elements ◽  
Energy Dispersive ◽  
Protein Bodies ◽  
X Ray ◽  
Plant Seeds

The storage protein bodies of plant seeds usually contain globoid crystals with a high content of phytin, a rich store of Mg, P, K and Ca. By energy dispersive X-ray analysis, Mn and Fe have now been located in the globoid crystals of protein bodies in the seed embryos of Avena sativa and Casuarina species. Their levels in sections of globoids, relative to the levels of the major elements present, is consistent with their relative levels stored in whole seeds of various species as determined by chemical analysis.

The Effective use of Filters with Direct Excitation of EDXRF

1979 ◽  
Vol 23 ◽  
pp. 231-239 ◽  
Author(s):  
Ronald A. Vane ◽  
William D. Stewart
Keyword(s):  
Spectral Region ◽  
Energy Dispersive ◽  
Primary Beam ◽  
Proper Choice ◽  
X Ray ◽  
Direct Excitation ◽  
Edxrf Analysis ◽  
Beam Transmission ◽  
Effective Use ◽  
Excitation Conditions

AbstractPrimary beam transmission filters in energy dispersive X-ray fluorescence (EDXRF) analysis are used to shape the spectral output of the X-ray tube. The effective use of these filters allows the optimization of excitation conditions for each different analysis. Filters are used in two basic ways in EDXRF; either as edge filters or as white filters. The proper choice of filter and excitation conditions optimizes the analysis of a particular element or spectral region by shaping the primary radiation to reduce background and to maximize excitation.

Automated Determination of Optimum Excitation Conditions for Single and Multielement Analysis with Energy Dispersive X-Ray Fluorescence Spectrometry

1978 ◽  
Vol 22 ◽  
pp. 433-451
Author(s):  
Wolfhard Wegscheider ◽  
Bruce B. Jablonski ◽  
Donald E. Leyden
Keyword(s):  
Pattern Search ◽  
Multielement Analysis ◽  
Energy Dispersive ◽  
X Ray ◽  
Simplex Search ◽  
Wide Range ◽  
Small Increments ◽  
Excitation Conditions ◽  
Automated Determination

The determination of optimal excitation conditions for energy dispersive x-ray fluorescence is particularly critical for multielement analysis covering a wide range (viz. 10 or 20 keV) of the spectrum. Functions that quantitatively describe the spectral quality are used as objective functions in pattern search algorithms. It is shown that the filters can be arranged in a definite order, at least with respect to the energy of the K-absorption edge of the tube and can therefore be employed as a dimension in the optimization process. Of the algorithms that were compared, the Nelder-Mead and Routh-Swartz-Denton versions of the sequential simplex search gave the best results if the excitation voltage and the current could be controlled in small increments. If the optimization includes dimensions with a few discrete stages (e.g. filters) the fixed size simplex proved to be of greatest value. The functions can be weighted to reflect special interest in one or more elements. Conditions for increasing the counting time and terminating the search are discussed.

Quantitative Analysis of 300 and 400 Series Stainless Steel by Energy Dispersive X-Ray Fluorescence

1978 ◽  
Vol 22 ◽  
pp. 395-400
Author(s):  
Bradner D. Wheeler ◽  
Nancy Jacobus
Keyword(s):  
Stainless Steel ◽  
Analytical Techniques ◽  
Major Elements ◽  
Energy Dispersive ◽  
Absolute Methanol ◽  
X Ray ◽  
Minor Elements ◽  
Recent Developments ◽  
Successful Analysis ◽  
Fluorescence Analyzer

Recent developments in analytical techniques and software have allowed the accurate quantitative determinations of both the major and minor elements in stainless steels by energy dispersive x-ray fluorescence. The successful analysis of 300 and 400 series stainless steel is reported utilizing this technique. The analysis of this type of material represents one of the most severe tests of the method due to numerous peak overlaps and interelement effects such as absorption and enhancement.Sixteen standards of ASTM 300 series and ten 400 series were prepared by polishing on a 220 grit aluminum oxide belt and subsequently washing the surface in absolute methanol. Analyses were performed with an EG&G ORTEC 6110 Tube Excited Fluorescence Analyzer utilizing a dual anode (Rh/W) x-ray tube. Peak deconvolutions and interelement corrections were made with a 16K PDP-11/05 computer utilizing the program FLINT (1). Utilization of spectral deconvolutions and interelement corrections yields a relative accuracy of approximately IX of the concentrations of the major elements.

Applications of Room Temperature Energy Dispersive X-Ray Spectrometry Using a Mercuric Iodide Detector

1983 ◽  
Vol 27 ◽  
pp. 527-537 ◽  
Author(s):  
D.E. Leyden ◽  
A.R. Harding ◽  
K. Goldbach
Keyword(s):  
Room Temperature ◽  
Energy Dispersive ◽  
Mercuric Iodide ◽  
X Ray ◽  
Secondary Target ◽  
Excitation Conditions

Energy dispensive X-ray spectrometry has been used extensively for the rapid, simultaneous deterninaion of elements in a variety of sample types. Excitation of the analytical sample can be by either X-ray tube, secondary targets, or radioactive isotopic sources. Tube sources have the advantages of convenient control of the excitation conditions, whereas an isotopic source or secondary target must be physically replaced by another to affect an excitation change. The use of primary filters between the sample and X-ray tube can greatly enhance the flexibilitty of the excitation conditions.

scholarly journals Major elements as possible factors of trace element urban pedochemical anomalies

2011 ◽  
Vol 9 (2) ◽  
pp. 337-347 ◽  
Author(s):  
Rimantė Zinkutė ◽  
Ričardas Taraškevičius ◽  
Tomas Želvys
Keyword(s):  
Trace Elements ◽  
Trace Element ◽  
Atomic Emission ◽  
Major Elements ◽  
Energy Dispersive ◽  
X Ray ◽  
Two Factors ◽  
The Relationship

AbstractThe relationship between real total contents of the major elements Na, Mg, Al, Si, P, S, K, Ca, Ti, Fe and the trace elements Ag, As, B, Ba, Co, Cr, Cu, Mn, Mo, Ni, Pb, Sb, Se, Sn, V, U, Zn in topsoil from the central part of Vilnius is analysed. The amounts of most elements were determined by energy-dispersive X-ray fluorescence, while amounts of Ag, B, Co were measured by optical atomic emission spectrophotometry. Two factors were distinguished according to major elements: anthropogenic (A) including Ca, Mg, Fe, P, S and clayey (C) including K, Al, Ti. Boron, Mn, Cr and U are significantly correlated with members of both factors, Sb with none of them and other trace elements either with all (Cu, Zn, Pb, Se, Ba, Ni, Co) or with separate (V, Ag, Sn, Mo, As) members of the A-factor. Only B, Mn, Cr, U (partly their additive index Z1) are influenced by the C-factor, while twelve other trace elements (also their additive index Z2) are influenced by the A-factor. The additive index Z of all 17 elements is also affected by the A-factor. Four groups of sites have been distinguished according to normal or higher contents of both factors. The majority of trace element anomalies are related to the sites affected by the A-factor.

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