American Journal of Engineering and Applied Sciences

Optimization of Energy Dispersive X-Ray Fluorescence Spectrometer to Analyze Heavy Metals in Moss Samples

Mohd Zahari Abdullah, Ahmad Saat and Zaini Hamzah

DOI : 10.3844/ajeassp.2011.355.362

American Journal of Engineering and Applied Sciences

Volume 4, Issue 3

Pages 355-362

Abstract

Problem statement: Mosses had been widely used as bioindicator especially to study the levels of trace metals pollutants in the surrounding ambient air because of their high efficiency to accumulate heavy metals contamination. There had been increasing demand to get a suitable analytical tools to determine the chemical contents of moss samples in this type of media. This study was conducted with the aims to get one of the best analytical methods for the analysis of moss samples. Approach: Despite the various spectroscopic techniques that normally used to analyzed heavy metals in moss, each of these techniques had its advantages and disadvantages which been summarized elsewhere. We try not to use any chemical to decompose the samples where the samples were analyzed directly in its solid form by Energy Dispersive X-Ray Fluoresence Spectrometer, EDXRF technique. The EDXRF technique optimized for its main analytical parameters. Calibration procedure was made based on the in-house standard samples. The reliability of the optimized analytical procedure was established by analyzing two certified reference materials, Pine Needle, NIST 1575 and Lichen, IAEA-336. Results: The results showed that the metals could be analyzed with percent recoveries range within 84-102% for Pine Needle and 92-125% for Lichen. The possible factors influencing the percent recoveries of the elements were discussed in details. Conclusion: On overall, it is strongly suggest that the applied EDXRF method is adequate enough to analysis the heavy metal contents in moss samples even at very small concentration with high accuracy and precisely.

Copyright

© 2011 Mohd Zahari Abdullah, Ahmad Saat and Zaini Hamzah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.