standardless analysis
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2017 ◽  
Vol 62 (2) ◽  
pp. 305-309 ◽  
Author(s):  
T. K. Nurubeyli ◽  
Z. K. Nurubeyli ◽  
K. Z. Nuriyev ◽  
K. B. Gurbanov

2014 ◽  
Vol 20 (S3) ◽  
pp. 696-697 ◽  
Author(s):  
Nicholas W. M. Ritchie ◽  
Dale E. Newbury

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
G Carlucci ◽  
F Epifano ◽  
S Genovese ◽  
M Locatelli

2012 ◽  
Vol 41 (6) ◽  
pp. 355-362 ◽  
Author(s):  
Abdallah A. Shaltout ◽  
Mohamed M. Gomma ◽  
Mohamed W. Ali-Bik

2012 ◽  
Vol 67 (5) ◽  
pp. 414-422 ◽  
Author(s):  
L. A. Gribov ◽  
V. A. Dement’ev

2002 ◽  
Vol 31 (6) ◽  
pp. 419-423 ◽  
Author(s):  
J. D'Angelo ◽  
E. Perino ◽  
E. Marchevsky ◽  
J. A. Riveros

1998 ◽  
Vol 4 (6) ◽  
pp. 585-597 ◽  
Author(s):  
Dale E. Newbury

Electron beam X-ray microanalysis with semiconductor energy-dispersive spectrometry (EDS) performed with standards and calculated matrix corrections can yield quantitative results with a distribution such that 95% of analyses fall within ±5% relative for major and minor constituents. Standardless methods substitute calculations for the standard intensities, based either on physical models of X-ray generation and propagation (first principles) or on mathematical fits to remotely measured standards (fitted standards). Error distributions have been measured for three different standardless analysis procedures with a suite of microanalysis standards including metal alloys, glasses, minerals, ceramics, and stoichiometric compounds. For the first-principles standardless procedure, the error distribution placed 95% of analyses within ±50% relative, whereas for two commercial fitted standards procedures, the error distributions placed 95% of analyses within ±25% relative. The implication of these error distributions for the accuracy of analytical results is considered, and recommendations for the use of standardless analysis are given.


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