Journal of Radioanalytical and Nuclear Chemistry

, Volume 298, Issue 3, pp 1673–1677 | Cite as

Optimisation design of cylindrical containers for improving the detection efficiency of a high-purity germanium detector using the LabSOCS

  • Baolu Yang
  • Yiming Ha
  • An Li
  • Hongjie Zhou
  • Feng Wang
  • Weiming Li


The LabSOCS software was used to optimise the geometric dimensions of cylindrical containers and improve the detection efficiency of a high-purity germanium detector for the measurement of environmental radioactivity samples. The optimum ratio of diameter and height for different sample volumes were determined. In addition, the degrees of influence of the sample volume and density when the amount of sample was fixed were compared. Results show that the effect of sample volume on detection efficiency was significantly greater than that of sample density for a given sample amount.


Cylindrical containers Detector efficiency HPGe LabSOCS 



This work was financially supported by the “National Science and Technology Supported Program for the Control of Food Biological Toxin Pollution and the Early Warning Technology of the Radioactive Pollution” (Grant No. 2012BAK17B13) and the “Special Fund for Agro-scientific Research in the Public Interest” (Grant No. 201103007).


  1. 1.
    Saegusa J, Kawasaki K, Mihara A, Ito M, Yoshida M (2004) Appl Radiat Isot 611:383–1390Google Scholar
  2. 2.
    Zikovsky L, Chah B (1988) Nucl Instrum Methods A 263:483–486CrossRefGoogle Scholar
  3. 3.
    Korun M, Martincic R (1992) Appl Radiat Isot 43:29–35CrossRefGoogle Scholar
  4. 4.
    Laborie J-M, Le Petit G, Abt D, Girard M (2002) Nucl Instrum Methods A 479:618–630CrossRefGoogle Scholar
  5. 5.
    Khater AEM, Ebaid YY (2008) Appl Radiat Isot 66:407–413CrossRefGoogle Scholar
  6. 6.
    Yücel H, Solmaz AN, Köse E, Bor D (2010) J Radioanal Nucl Chem 283:305–312CrossRefGoogle Scholar
  7. 7.
    McNamara AL, Heijnis H, Fierro D, Reinhard MI (2012) J Environ Radioact 106:1–7CrossRefGoogle Scholar
  8. 8.
    Laborie J-M, Le Petit G, Abt D, Girard M (2000) Appl Radiat Isot 53:57–62CrossRefGoogle Scholar
  9. 9.
    Ródenas J, Gallardo S, Ballester S, Primault V, Ortiz J (2007) Nucl Instrum Methods B 263:144–148CrossRefGoogle Scholar
  10. 10.
    Bronson FL (2003) J Radioanal Nucl Chem 255:137–141CrossRefGoogle Scholar
  11. 11.
    Ahmed AS, Capello K, Chiang A, Cardenas-Mendez E, Kramer GH (2009) Nucl Instrum Methods A 610:718–723CrossRefGoogle Scholar
  12. 12.
    Ngo QH, Do QB, An VX (2012) Appl Radiat Isot 70:2695–2702CrossRefGoogle Scholar
  13. 13.
    Hemingway JD (1986) J Radioanal Nucl Chem 99:299–306CrossRefGoogle Scholar
  14. 14.
    Toma M, Sima O, Cristache C, Dragolici F, Done L (2008) Rom J Phys 53:795–800Google Scholar
  15. 15.
    Venkataraman R, Bronson F, Alrashkevich V, Young BM, Field M (1999) Nucl Instrum Methods A 422:450–454CrossRefGoogle Scholar
  16. 16.
    Aguiar JC (2008) Appl Radiat Isot 66:1123–1127CrossRefGoogle Scholar
  17. 17.
    Boshkova T, Minev L (2001) Appl Radiat Isot 54:777–783CrossRefGoogle Scholar
  18. 18.
    De Felicea P, Iskandarb D, Fazioa A, Biagini R (1998) Appl Radiat Isot 49:1421–1427CrossRefGoogle Scholar
  19. 19.
    Jeromea SM, Woodsa MJ, de Feliceb P, Ponab C, de Sanoitc J, Dersch R (1994) Nucl Instrum Methods A 339:55–60CrossRefGoogle Scholar
  20. 20.
    JuradoVargasa M, FernándezTimón A, CornejoDíaz N, Pérez Sánchez D (2002) Appl Radiat Isot 57:893–898CrossRefGoogle Scholar
  21. 21.
    Nemeth WK, Parsa B (1992) Radioact Radiochem 3:32–39Google Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2013

Authors and Affiliations

  • Baolu Yang
    • 1
    • 2
  • Yiming Ha
    • 1
    • 2
  • An Li
    • 1
    • 2
  • Hongjie Zhou
    • 1
    • 2
  • Feng Wang
    • 1
    • 2
  • Weiming Li
    • 1
    • 2
  1. 1.Institute of Agro-products Processing Science and TechnologyChinese Academy of Agricultural ScienceBeijingChina
  2. 2.Key Opening Laboratory of Agricultural Products Processing and Quality ControlMinistry of AgricultureBeijingChina

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