Soil Rare Earth Elements in Afram Plain Ecosystems via Neutron Activation Analysis.

Saved in:
Bibliographic Details
Title: Soil Rare Earth Elements in Afram Plain Ecosystems via Neutron Activation Analysis.
Authors: Asare, Ebenezer Aquisman1 (AUTHOR) aquisman1989@gmail.com, Abdul-Wahab, Dickson2 (AUTHOR), Asamoah, Anita1 (AUTHOR), Kaufmann, Elsie Effah3 (AUTHOR), Wahi, Rafeah4 (AUTHOR), Ngaini, Zainab4 (AUTHOR), Adomako, Dickson2 (AUTHOR), Fianko, Joseph Richmond2 (AUTHOR)
Source: Water, Air & Soil Pollution. Mar2026, Vol. 237 Issue 5, p1-33. 33p.
Subject Terms: *Rare earth metals, *Nuclear activation analysis, *Mineralogical chemistry, *Ecosystems, *Ecological assessment, *Hierarchical Bayes model, *Soils
Abstract: This study characterizes rare earth element (REE) distributions in Afram Plain soil profiles using neutron activation analysis (NAA) combined with Bayesian Hierarchical Models (BHMs). Forty-eight samples from eight locations across seven soil types were analysed at the Ghana Research Reactor-1 using k₀-standardization. Mean total REE concentration was 728.6 mg/kg, substantially higher than regional comparisons, with an unusual HREE-enriched signature (ΣLREE/ΣHREE ≈ 0.6). Waterbody sediments showed highest accumulation (763.8 mg/kg), while Haplic Lixisols had highest La concentrations (64.10 mg/kg). The BHM identified depth and pH as the most clearly influential predictors of total REE concentrations, with REEs increasing with depth and accumulating preferentially under higher pH conditions. Soil-type effects, while allowing for group-level variability, showed 95% highest density intervals spanning zero for all soil types, indicating that distinguishing these effects requires larger sample sizes. Enrichment factors for HREEs (Tm, Yb, Lu) reached extremely high values (102–103), warranting careful interpretation given potential normalization artifacts from variable iron content. Fractionation indices revealed persistent negative Ce anomalies and neutral to positive Eu anomalies across profiles. This study demonstrates the utility of combining NAA with BHM for transparent uncertainty quantification in environmental REE assessments, while acknowledging that mineralogical characterization is needed to explain the unusual HREE enrichment patterns. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
FullText Text:
  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 191291239
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Soil Rare Earth Elements in Afram Plain Ecosystems via Neutron Activation Analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Asare%2C+Ebenezer+Aquisman%22">Asare, Ebenezer Aquisman</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aquisman1989@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Abdul-Wahab%2C+Dickson%22">Abdul-Wahab, Dickson</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Asamoah%2C+Anita%22">Asamoah, Anita</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kaufmann%2C+Elsie+Effah%22">Kaufmann, Elsie Effah</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wahi%2C+Rafeah%22">Wahi, Rafeah</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ngaini%2C+Zainab%22">Ngaini, Zainab</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adomako%2C+Dickson%22">Adomako, Dickson</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fianko%2C+Joseph+Richmond%22">Fianko, Joseph Richmond</searchLink><relatesTo>2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Water%2C+Air+%26+Soil+Pollution%22">Water, Air & Soil Pollution</searchLink>. Mar2026, Vol. 237 Issue 5, p1-33. 33p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Rare+earth+metals%22">Rare earth metals</searchLink><br />*<searchLink fieldCode="DE" term="%22Nuclear+activation+analysis%22">Nuclear activation analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Mineralogical+chemistry%22">Mineralogical chemistry</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecosystems%22">Ecosystems</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+assessment%22">Ecological assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22Hierarchical+Bayes+model%22">Hierarchical Bayes model</searchLink><br />*<searchLink fieldCode="DE" term="%22Soils%22">Soils</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study characterizes rare earth element (REE) distributions in Afram Plain soil profiles using neutron activation analysis (NAA) combined with Bayesian Hierarchical Models (BHMs). Forty-eight samples from eight locations across seven soil types were analysed at the Ghana Research Reactor-1 using k₀-standardization. Mean total REE concentration was 728.6 mg/kg, substantially higher than regional comparisons, with an unusual HREE-enriched signature (ΣLREE/ΣHREE ≈ 0.6). Waterbody sediments showed highest accumulation (763.8 mg/kg), while Haplic Lixisols had highest La concentrations (64.10 mg/kg). The BHM identified depth and pH as the most clearly influential predictors of total REE concentrations, with REEs increasing with depth and accumulating preferentially under higher pH conditions. Soil-type effects, while allowing for group-level variability, showed 95% highest density intervals spanning zero for all soil types, indicating that distinguishing these effects requires larger sample sizes. Enrichment factors for HREEs (Tm, Yb, Lu) reached extremely high values (102–103), warranting careful interpretation given potential normalization artifacts from variable iron content. Fractionation indices revealed persistent negative Ce anomalies and neutral to positive Eu anomalies across profiles. This study demonstrates the utility of combining NAA with BHM for transparent uncertainty quantification in environmental REE assessments, while acknowledging that mineralogical characterization is needed to explain the unusual HREE enrichment patterns. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=191291239
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11270-025-08997-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 33
        StartPage: 1
    Subjects:
      – SubjectFull: Rare earth metals
        Type: general
      – SubjectFull: Nuclear activation analysis
        Type: general
      – SubjectFull: Mineralogical chemistry
        Type: general
      – SubjectFull: Ecosystems
        Type: general
      – SubjectFull: Ecological assessment
        Type: general
      – SubjectFull: Hierarchical Bayes model
        Type: general
      – SubjectFull: Soils
        Type: general
    Titles:
      – TitleFull: Soil Rare Earth Elements in Afram Plain Ecosystems via Neutron Activation Analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Asare, Ebenezer Aquisman
      – PersonEntity:
          Name:
            NameFull: Abdul-Wahab, Dickson
      – PersonEntity:
          Name:
            NameFull: Asamoah, Anita
      – PersonEntity:
          Name:
            NameFull: Kaufmann, Elsie Effah
      – PersonEntity:
          Name:
            NameFull: Wahi, Rafeah
      – PersonEntity:
          Name:
            NameFull: Ngaini, Zainab
      – PersonEntity:
          Name:
            NameFull: Adomako, Dickson
      – PersonEntity:
          Name:
            NameFull: Fianko, Joseph Richmond
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00496979
          Numbering:
            – Type: volume
              Value: 237
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Water, Air & Soil Pollution
              Type: main
ResultId 1