Optimization of X-ray fluorescence technique for the analysis of heavy metals contained in wastes from the electrical and electronic equipment industry

  • Florin Sloata “Dunarea de Jos“ University of Galati
  • Antoaneta Ene “Dunarea de Jos“ University of Galati
DOI: https://doi.org/10.35219/ann-ugal-math-phys-mec.2018.1.15
Keywords: industry, industrial sludges, hazardous wastes, ED-XRF technique

Abstract

The present paper presents the results obtained by the application of energy-dispersive X-ray fluorescence spectrometry (ED-XRF) for the determination of the elemental composition of various waste industrial materials. The technique was optimized for the analysis of several industrial hazardous wastes with a high content of heavy metals and sludge samples resulted from galvanizing processes, produced by a company which manufactures electrical and home appliances.

Downloads

Download data is not yet available.

Author Biographies

Florin Sloata, “Dunarea de Jos“ University of Galati

Doctoral School of Mechanical and Industrial Engineering, Dunarea de Jos” University of Galati, Romania

 

Antoaneta Ene, “Dunarea de Jos“ University of Galati

Doctoral School of Mechanical and Industrial Engineering, ”Dunarea de Jos” University of Galati, Romania

Faculty of Sciences and Environment, Department of Chemistry, Physics and Environment, ”Dunarea de Jos” University of Galati, Romania

INPOLDE interdisciplinary research network, Faculty of Sciences and Environment, “Dunarea de Jos” University of Galati, Romania

Published
2018-06-10
How to Cite
Sloata, F. and Ene, A. (2018) “Optimization of X-ray fluorescence technique for the analysis of heavy metals contained in wastes from the electrical and electronic equipment industry”, Analele Universității ”Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică / Annals of the ”Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics, 41(1), pp. 111-117. doi: https://doi.org/10.35219/ann-ugal-math-phys-mec.2018.1.15.
Issue
Vol 41 No 1 (2018)
Section
Articles

Most read articles by the same author(s)