Biosorption Capability of Chitosan for Removal of Cs-137 and/or Co-60 from Radioactive Waste Solution Simulates

Hazem H. Mahmoud (), Samir B. Eskander and Hosam M. Saleh ()
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Hazem H. Mahmoud: Radioisotope Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo 13759, Egypt
Samir B. Eskander: Radioisotope Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo 13759, Egypt
Hosam M. Saleh: Radioisotope Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo 13759, Egypt

Sustainability, 2024, vol. 16, issue 3, 1-18

Abstract: Biosorption is an impurity-free application developed from the use of nuclear technology for peaceful purposes in everyday life and can be used to treat wastewater streams contaminated with various radionuclides. In this study, a laboratory decontamination experimental approach was developed to apply commercial chitosan as a biosorbent applied for removing radiocesium (Cs-137) and/or radiocobalt (Co-60) from spiked aqueous media. The factors assumed to affect the biosorption of both radionuclides included contact time, pH, and initial radioactivity content. In addition, the biosorbent dose and temperature of the process were studied. Both the biosorption capacity and the biosorption efficiency of the treatment process were calculated. According to FT-IR analysis, it can be assumed that the chitosan amine group (-NH 2 ) is almost accountable for the biosorption of both radionuclides from waste solution simulates. Based on the data obtained, commercial chitosan can be considered an economical and efficient biosorbent for handling low- and medium-level radioactive wastewater streams containing cesium and/or cobalt radionuclides. The acquired data showed that 144 h is an adequate time to remove more than 94% of radiocobalt and about 93% of radiocesium, from a separate solution for each, at pH ~6.5 and using 0.5 g of commercial chitosan.

Keywords: biosorption; chitosan; Cs-137; Co-60; radioactive waste; wastewater (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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