Determination of strontium-90 from direct separation of yttrium-90 by solid phase extraction using DGA Resin for seawater monitoring
Determination of strontium-90 from direct separation of yttrium-90 by solid phase extraction using DGA Resin for seawater monitoring
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DOI:
10.1016/j.talanta.2016.01.065
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发表时间:
2016-05-15
期刊:
影响因子:
6.1
通讯作者:
Yamada, Masatoshi
中科院分区:
文献类型:
--
作者:
Tazoe, Hirofumi;Obata, Hajime;Yamada, Masatoshi
It is important for public safety to monitor strontium-90 in aquatic environments in the vicinity of nuclear related facilities. Strontium-90 concentrations in seawater exceeding the background level have been observed in accidents of nuclear facilities. However, the analytical procedure for measuring strontium-90 in seawater is highly demanding. Here we show a simple and high throughput analytical technique for the determination of strontium-90 in seawater samples using a direct yttrium-90 separation. The DGA Resin is used to determine the abundance of strontium-90 by detecting yttrium-90 decay (beta-emission) in secular equilibrium. The DGA Resin can selectively collect yttrium-90 and remove naturally occurring radionuclides such as K-40, (210)pb, Bi-214, U-238, and Th-232 and anthropogenic radionuclides such as Ba-140 and La-140. Through a sample separation procedure, a high chemical yield of yttrium-90 was achieved at 95.5 +/- 2.3%. The result of IAEA-443 certified seawater analysis (107.7 +/- 3.4 mBq kg(-1)) was in good agreement with the certified value (110 +/- 5 mBq kg(-1)). By developed method, we can finish analyzing 8 samples per day after achieving secular equilibrium, which is a reasonably fast throughput in actual seawater monitoring. By processing 3 L of seawater sample and applying a counting time of 20 h, minimum detectable activity can be as low as 1.5 mBq kg(-1), which could be applied to monitoring for the contaminated marine environment. Reproducibility was found to be 3.4% according to 10 independent analyses of natural seawater samples from the vicinity of the Fukushima Daiichi Nuclear Power Plant in September 2013. (C) 2016 Elsevier B.V. All rights reserved.