Skip to main content
SpringerLink
Log in

INAA method optimization using a 2k factorial design

  • Published:
Journal of Radioanalytical and Nuclear Chemistry Aims and scope Submit manuscript

Abstract

In this work a 23 factorial design was carried out aiming the multivariate optimization of Instrumental Neutron Activation Analysis (INAA) for mass fraction determination of Co, Cr, Fe, Rb, Sc, Se and Zn in biological samples and Co, Cr, Fe, Sc and Zn in geological samples. The factors investigated in this study were sample decay time, sample distance to detector and sample measurement time. The optimal condition for each method was outlined according to the main effect and interactions results. It was observed that sample decay time is the most important factor for the INAA optimization in the different methods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Factorial design it is also named in the literature as experimental design, factorial experiment and/or design of experiment (DOE). All these terms are common for the factorial design literature.

References

  1. ISO, International Organization for Standardization (2005) ISO/IEC 17025: general requirements for the competence of testing and calibration laboratories. International Organization for Standardization, Geneva

    Google Scholar 

  2. Zhag WL, Zhang ZB, Cao XH, Liu YH (2014) Uranium adsorption studies on hydrothermal carbon produced by chitosan using statistical design method. J Radioanal Nucl Chem 301:197–205

    Article  Google Scholar 

  3. Reynier N, Blais JF, Mercier G (2013) Optimization of arsenic and pentachlorophenol removal from soil using an experimental design methodology. J Soils Sediments 13:1189–1200

    Article  CAS  Google Scholar 

  4. Izadyar S, Fatemi S, Mousavand T (2013) Synthesis and modification of nano-sized TiO2 for photo-degradation process under visible light irradiation; a Placket-Burman experimental design. Mater Res Bull 48:3196–3203

    Article  CAS  Google Scholar 

  5. Sanaa NT, Didi MA, Villemin D (2012) Uranium micelle-mediated extraction in acetate medium: factorial design optimization. J Radioanal Nucl Chem 293:789–795

    Article  CAS  Google Scholar 

  6. Outola I, Inn K, Ford R, Markham S, Outola P (2009) Optimizing standard sequential extraction protocol with lake and ocean sediments. J Radioanal Nucl Chem 282:321–327

    Article  CAS  Google Scholar 

  7. Kurosaky H, Radford R, Filliben J, Inn KGW (2008) An orthogonal design of experiment exploratory data analysis for plutonium contamination. J Radioanal Nucl Chem 276:323–328

    Article  Google Scholar 

  8. Pereira-Filho ER, Poppi RJ, Arruda MAZ (2002) Employment of factorial design for optimization of pyrolysis and atomization temperatures for Al, Cd, Ni and Pb determination by ET AAS. Quim Nova 25:246–253

    Article  CAS  Google Scholar 

  9. Teófilo RF, Ferreira MMC (2006) Chemometrics II: spreadsheets for experimental design calculations, a tutorial. Quim Nova 29:338–350

    Article  Google Scholar 

  10. Martínez HDR (2013) Analyzing interactions of fitted models. http://cran.r-project.org/web/packages/phia/vignettes/phia.pdf. Accessed 29 Sep 2014

  11. Eriksson L, Johasson E, Kettaneh-Wold N, Wiktrom C, Wold S (2008) Design of experiments: principles and applications. MKS Umetrics, Umea

    Google Scholar 

  12. Clewer AG, Scanisbrick DH (2011) Practical statistics and experimental design for plant and crop science. Wiley, Chichester

    Google Scholar 

  13. Moreira EG (2010) Preparo e caracterização de um material de referência de mexilhão Perna perna (Linnaeus, 1758). Doctoral Thesis, São Paulo University, São Paulo. http://www.teses.usp.br/teses/disponiveis/85/85131/tde-21062011-093245/en.php. Accessed 29 Sep 2014

  14. NIST Certificate of Analysis: Standard Reference Material 1646a Estuarine Sediment. https://www-s.nist.gov/srmors/view_cert.cfm?srm=1646A. Accessed 29 Sep 2014

  15. Rasch D, Pilz J, Verdooren R, Gebhardt A (2011) Optimal experimental design with R. Chapman & Hall/CRC, Boca Raton

    Google Scholar 

  16. Sheskin DJ (2004) Parametric and non parametric statistical procedures. Chapman & Hall/CRC, Boca Raton

    Google Scholar 

  17. Thompson M (2000) Recent trends in inter-laboratory precision at ppb and sub-ppb concentrations in relation to fitness for purpose criteria in proficiency testing. Analyst 125:385–386

    Article  CAS  Google Scholar 

  18. Prichard E, Barwick V (2008) Quality assurance in analytical chemistry. Wiley-LGC, Teddington

    Google Scholar 

  19. NIST/SEMANTECH (2013) e-Handbook of statistical methods. http://www.itl.nist.gov/div898/handbook/. Accessed 30 Sep 2014

Download references

Acknowledgments

Authors are indebted to the financial support received from Nuclear and Energy Research Institute (IPEN—CNEN/SP) and the grant from Brazilian National Council for Scientific and Technological Development (CNPq), process number 130022/2013-6.

Author information

Authors and Affiliations

  1. Instituto de Pesquisas Energéticas e Nucleares (IPEN - CNEN/SP), Av. Professor Lineu Prestes 2242, São Paulo, SP, 05508-000, Brazil

    Robson Petroni & Edson G. Moreira

Authors
  1. Robson Petroni
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Edson G. Moreira
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Robson Petroni.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Petroni, R., Moreira, E.G. INAA method optimization using a 2k factorial design. J Radioanal Nucl Chem 306, 623–629 (2015). https://doi.org/10.1007/s10967-015-4510-x

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10967-015-4510-x

Keywords

Search

Navigation