Nuclear Techniques ›› 2016, Vol. 39 ›› Issue (3): 30402-030402.doi: 10.11889/j.0253-3219.2016.hjs.39.030402

• NUCLEAR ELECTRONICS AND INSTRUMENTATION • Previous Articles     Next Articles

Test and comparison of aerosol sample preparation methods in radiation monitoring

SHI Xiaqing1, YU Guobing2, GU Xianbao2, ZHANG Yu3, ZHAO Jun3, CHEN Zhi1, XU Xie1   

  1. 1 University of Science and Technology of China, Hefei 230027, China;
    2 Anhui Radiation Environment Supervision Station, Hefei 230071, China;
    3 Radiation Environmental Monitoring Technology Center of Ministry of Environmental Protection, Hangzhou 310012, China
  • Received:2015-12-07 Revised:2016-02-16 Online:2016-03-10 Published:2016-03-11
  • Supported by:

    Supported by the Provincial Environmental Protection Scientific Research Project of Anhui Province (No.2014-011), National Natural Science Foundation of China (No.11375182)

Abstract:

Background: There are four common methods to prepare radioactive aerosol samples for the purpose of gamma-spectroscopy involving an HPGe detector:ashing method, compressing method, holing method, and folding method. However, their counting characteristics have never been studied and compared. Purpose: This study aims to provide a comprehensive evaluation of these four sample preparation methods. Methods: An HPGe gamma spectrometer was used in the study to evaluate and confirm the reliability of these four radioactive aerosol sample preparation methods. Monte Carlo simulations were used to calculate the gamma-spectroscopic counting efficiency. Results: The four preparation methods were found to be generally reliable, with assessed activity differing less than 5%. The ashing method was found to yield the highest counting efficiency, followed by compressing method, holing method, and folding method. For the 260mm×210 mm and 570mm×470 mm sized filter, the variation range of gamma detection efficiency was found to be 55% and 120%. Conclusion: The analyses of these sample preparation methods provide useful suggestions on the suitability and conditions, thus offering a useful reference on how to choose, prepare and count radioactive aerosols samples.

Key words: Aerosol sample, Sample preparation method, Detecting efficiency, Monte Carlo simulation, Minimum detectable activity (MDA)

CLC Number: 

  • TL816.4