| Kong Lingnan,Yang Baolu,Zhang Jing,Zhou Qiang.Analysis of food sample composition for gamma spectrometry-based sourceless efficiency simulation[J].Chinese Journal of Radiological Medicine and Protection,2024,44(2):140-146 |
| Analysis of food sample composition for gamma spectrometry-based sourceless efficiency simulation |
| Received:June 28, 2023 |
| DOI：10.3760/cma.j.cn112271-20230628-00214 |
| KeyWords:Food ingredients γ-ray spectrometer Sourceless efficiency calibration |
| FundProject: |
| Author Name | Affiliation | E-mail | | Kong Lingnan | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Yang Baolu | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Zhang Jing | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | | | Zhou Qiang | Key Laboratory of Radiological Protection and Nuclear Emergency, China CDC, National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing 100088, China | zhouqiang@nirp.chinacdc.cn |
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| Abstract:: |
| Objective To recommend reference composition for sourceless efficiency calibration of food gamma spectrometry by analyzing the composition of common foods based on a combination of sourceless efficiency calibration and active validation. Methods Thirty common types of food samples in countrywide monitoring of radioactively contaminated foods were analyzed to statistically determine the reference composition of grains and vegetables. Combined with the parameters provided for white quinoa standard source, LabSOCS was applied to carry out the simulation of sourceless efficiency for its different compositions, and to calculate its measured activity, and analyzing its relative deviation to the those given in the certificate. Results The analytical result of these 30 types of food samples showed that the five elements C, H, O, N and S accounted for 77.0%-93.7% of the food composition, being the main component of these samples. By applying white quinoa's components and grain-based reference components to the simulation of the sourceless efficiency of white quinoa standard sources, the relative deviations of activity calculations to their certificated activities were in the range of 0.37%-5.86% and 0.38%-5.87% in absolute value, respectively. Conclusions The white quinoa's composition and the grain reference composition were applied to the sourceless efficiency simulation of the white quinoa standard source, and the relative deviation of the calculated measured activity to the activity of the standard source certificate was basically identical, so that if the gamma spectrometry-based sourceless efficiency simulation is used to measure the unknown composition of the food samples and it is inconvenient to carry out the analysis of the food samples' compositions, especially in the case of emergency, it can be referred to the use of the reference compositions obtained in the present study. |
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