Energy-dispersive X-ray fluorescence spectrometry technique as an efficient monitoring tool for mercury contamination

1996 ◽  
Vol 41 (1) ◽  
pp. 77-86 ◽  
Author(s):  
C. K. Bhat ◽  
C. L. Bhat ◽  
G. S. Lodha ◽  
D. K. Koul
Keyword(s):  
Energy Dispersive ◽  
Mercury Contamination ◽  
Fluorescence Spectrometry ◽  
Monitoring Tool ◽  
X Ray ◽  
Spectrometry Technique

scholarly journals Major and trace element analyses of igneous rocks by polarizing energy dispersive X-ray fluorescence spectrometry (EDXRF)

2014 ◽  
Vol 43 (2) ◽  
pp. 47-53 ◽  
Author(s):  
Toshio MIYAZAKI ◽  
Shin-ichi YAMASAKI ◽  
Noriyoshi TSUCHIYA ◽  
Satoshi OKUMURA ◽  
Ryoichi YAMADA ◽  
...  
Keyword(s):  
Trace Element ◽  
Igneous Rocks ◽  
Energy Dispersive ◽  
Fluorescence Spectrometry ◽  
X Ray

Evaluation of energy-dispersive x-ray fluorescence spectrometry in the rapid analysis of silicate rocks using pressed powder pellets

2000 ◽  
Vol 29 (2) ◽  
pp. 166-172 ◽  
Author(s):  
N. K. Saini ◽  
P. K. Mukherjee ◽  
M. S. Rathi ◽  
P. P. Khanna
Keyword(s):  
Rapid Analysis ◽  
Energy Dispersive ◽  
Fluorescence Spectrometry ◽  
X Ray ◽  
Silicate Rocks

An energy dispersive X-ray fluorescence spectrometry approach for the identification of geographical origin of wheat flour

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Tong Chen ◽  
Xingpu Qi ◽  
Zaiyong Si ◽  
Qianwei Cheng ◽  
Hui Chen
Keyword(s):  
Principal Component Analysis ◽  
Wheat Flour ◽  
Principal Component ◽  
Component Analysis ◽  
Mineral Elements ◽  
Energy Dispersive ◽  
Fluorescence Spectrometry ◽  
Energy Channel ◽  
X Ray ◽  
Different Origins

Abstract In this work, a method was established for discriminating geographical origins of wheat flour based on energy dispersive X-ray fluorescence spectrometry (ED-XRF) and chemometrics. 68 wheat flour samples from three different origins were collected and analyzed using ED-XRF technology. Firstly, the principal component analysis method was applied to analyze the feasibility of discrimination and reduce data dimensionality. Then, Competitive Adaptive Reweighted Sampling (CARS) was used to further extract feature variables, and 12 energy variables (corresponding to mineral elements) were identified and selected to characterize the geographical attributes of wheat flour samples. Finally, a non-linear model was constructed using principal component analysis and quadratic discriminant analysis (QDA). The CARS-PCA-QDA model showed that the accuracy of five-fold cross-validation was 84.25%. The results showed that the established method was able to select important energy channel variables effectively and wheat flour could be classified based on geographical origins with chemometrics, which could provide a theoretical basis for unveiling the relationship between mineral element composition and wheat origin.

Determination of parts per billion levels of electrodeposited metals by energy dispersive x-ray fluorescence spectrometry

1977 ◽  
Vol 49 (12) ◽  
pp. 1734-1737 ◽  
Author(s):  
John A. Boslett ◽  
Robert L. R. Towns ◽  
Robert G. Megargle ◽  
Karl H. Pearson ◽  
Thomas C. Furnas
Keyword(s):  
Energy Dispersive ◽  
Fluorescence Spectrometry ◽  
X Ray

Absorption Corrections via Backscattered Radiation in Polychromatic Excitation Energy-Dispersive X-Ray Fluorescence Spectrometry

1990 ◽  
pp. 515-520
Author(s):  
F. Araujo ◽  
F. He ◽  
P. Van Espen ◽  
R. Van Grieken
Keyword(s):  
Excitation Energy ◽  
Energy Dispersive ◽  
Fluorescence Spectrometry ◽  
X Ray
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