Method validation of sequential analysis for 55Fe, 63Ni, and 99Tc in the groundwater sample.

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Title: Method validation of sequential analysis for 55Fe, 63Ni, and 99Tc in the groundwater sample.
Authors: Kim, Hae Ri1,2 (AUTHOR), Kam, Da Young1 (AUTHOR), Yang, Jae Hwan2 (AUTHOR), Lim, Jong Myoung1 (AUTHOR) jmlim@kaeri.re.kr
Source: Journal of Radioanalytical & Nuclear Chemistry. Dec2025, Vol. 334 Issue 12, p9417-9426. 10p.
Subjects: Groundwater, Environmental monitoring, Evaluation methodology, Quality assurance, Radioactive wastes, Radioisotopes, Calibration, Sequential analysis
Abstract: Since 55Fe, 63Ni, and 99Tc have relatively long half-lives and high mobility in the environment, they are considered important radionuclides in environmental samples such as groundwater and soil around the radioactive waste disposal sites. In this study, we aimed to develop and optimize a method for the sequential analysis of 55Fe, 63Ni, and 99Tc in groundwater from a radioactive waste disposal site. The optimized method was developed to handle a sample volume of more than 2 L for the purpose of environmental radioactivity monitoring. Quality assurance factors such as accuracy and precision were evaluated to validate the method, and the final developed method was applied to groundwater samples to confirm its applicability. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Radioanalytical & Nuclear Chemistry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 191074798
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  Data: Method validation of sequential analysis for <superscript>55</superscript>Fe, <superscript>63</superscript>Ni, and <superscript>99</superscript>Tc in the groundwater sample.
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  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Hae+Ri%22">Kim, Hae Ri</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kam%2C+Da+Young%22">Kam, Da Young</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Jae+Hwan%22">Yang, Jae Hwan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lim%2C+Jong+Myoung%22">Lim, Jong Myoung</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jmlim@kaeri.re.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Radioanalytical+%26+Nuclear+Chemistry%22">Journal of Radioanalytical & Nuclear Chemistry</searchLink>. Dec2025, Vol. 334 Issue 12, p9417-9426. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Groundwater%22">Groundwater</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+assurance%22">Quality assurance</searchLink><br /><searchLink fieldCode="DE" term="%22Radioactive+wastes%22">Radioactive wastes</searchLink><br /><searchLink fieldCode="DE" term="%22Radioisotopes%22">Radioisotopes</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Sequential+analysis%22">Sequential analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Since 55Fe, 63Ni, and 99Tc have relatively long half-lives and high mobility in the environment, they are considered important radionuclides in environmental samples such as groundwater and soil around the radioactive waste disposal sites. In this study, we aimed to develop and optimize a method for the sequential analysis of 55Fe, 63Ni, and 99Tc in groundwater from a radioactive waste disposal site. The optimized method was developed to handle a sample volume of more than 2 L for the purpose of environmental radioactivity monitoring. Quality assurance factors such as accuracy and precision were evaluated to validate the method, and the final developed method was applied to groundwater samples to confirm its applicability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Radioanalytical & Nuclear Chemistry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10967-025-10563-8
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 9417
    Subjects:
      – SubjectFull: Groundwater
        Type: general
      – SubjectFull: Environmental monitoring
        Type: general
      – SubjectFull: Evaluation methodology
        Type: general
      – SubjectFull: Quality assurance
        Type: general
      – SubjectFull: Radioactive wastes
        Type: general
      – SubjectFull: Radioisotopes
        Type: general
      – SubjectFull: Calibration
        Type: general
      – SubjectFull: Sequential analysis
        Type: general
    Titles:
      – TitleFull: Method validation of sequential analysis for 55Fe, 63Ni, and 99Tc in the groundwater sample.
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            NameFull: Kim, Hae Ri
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            NameFull: Kam, Da Young
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            NameFull: Yang, Jae Hwan
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            NameFull: Lim, Jong Myoung
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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