
Applicability of EDXRF for elemental analysis in airborne particulate matter (APM): assessment using APM reference material
Author(s) -
Dwi Kesuma Sari,
Diah Dwiana Lestiani,
Syukria Kurniawati,
Natalia Adventini,
Djoko Prakoso Dwi Atmodjo,
Indah Kusmartini
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1436/1/012137
Subject(s) - particulates , certified reference materials , elemental analysis , materials science , tube (container) , nist , environmental science , reliability (semiconductor) , analytical chemistry (journal) , nuclear engineering , chemistry , environmental chemistry , computer science , composite material , engineering , physics , chromatography , detection limit , power (physics) , organic chemistry , quantum mechanics , natural language processing
Nuclear analytical technique such as EDXRF has been widely used for elemental analysis of airborne particulate matters (APM). EDXRF Epsilon5 has been installed and commissioned in Center for Applied Nuclear Science and Technology-BATAN Bandung, Indonesia. Measurement conditions has to be set up to determine several elements: Al, Ca, Cu, Fe, K, Pb, S, Si, Ti and Zn. Optimization was carried out by optimizing the excitation conditions covering the tube voltage, tube current, secondary target, and analysis time. Method validation of EDXRF Epsilon5 was determined using Standard Reference Material (SRM) NIST 2783 Air Particulate on Filter Media for ensuring the reliability on APM analysis. Four measurement conditions with variation setting of tube voltage, tube current, secondary target, and analysis time were defined for several elements. The results of the selected elements were in a good agreement with the certified values. Replication of analysis using air particulate on filter media reference material using EDXRF Epsilon5 were considered as valid, accurate and reliable data.