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Integral yield calculation and comparison for the production of As72 / Sobia Sharif

By: Material type: TextTextPublication details: Lahore : Division of Science & Technology, University of Education, 2019Description: vii, 71 p. CDISBN:
  • hbk
Subject(s): DDC classification:
  • 530.1 In811
Summary: This is an optimization work for the production of emerging radionuclide As72. As72 is an important positron emission radionuclide due to its beta positive emission. Its half-life is 26 hour so it is use to study slow metabolic process. Furthermore it binds itself tightly with the antibodies of the tumor and helps in diagnose of tumor. Usually As72 is produced using 72Se/As72 generator method but this work mainly deals with the direct production of As72 using charged particle induced reactions. The production routes of As72 are 69Ga(α,n)72As, 71Ga(α,3n)72As, 71Ga(3He,2n)72As, natGe(p,x)72As, natGe(d,x)72As, 70Ge(α,n+p)72As, 70Ge(α,x)72As, 72Ge(p,n)72As, 72Ge(α,x)72As, 73Ge(p,2n)72As, 74Ge(p,3n)72As, natSe(p,x)72As, 74Se(p,x)72As, 74Se(α,x)72As, 76Se(p,n+α)72As and 76Se(p,x)72As. For the evaluation of As72 the experimental data was collected from online source (EXFOR), original publication and thesis. After the compilation of experimental data their normalization were performed on the basis of decay data and monitor reaction. The reliability of experimental data were checked with nuclear model codes (ALICE, EMPIRE and TALYS). The nuclear model calculation with 95% upper and lower limits gave best recommended nuclear data. The yield was calculated by using recommended data. After yield calculation the production of As72 by Ge72, Ge73, Genat, and Ga69 was analyzed on the basis of impurities, energy range and coast of target. The energy was optimized to the region where we got maximum yield with minimum impurity.
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This is an optimization work for the production of emerging radionuclide As72. As72 is an important positron emission radionuclide due to its beta positive emission. Its half-life is 26 hour so it is use to study slow metabolic process. Furthermore it binds itself tightly with the antibodies of the tumor and helps in diagnose of tumor. Usually As72 is produced using 72Se/As72 generator method but this work mainly deals with the direct production of As72 using charged particle induced reactions. The production routes of As72 are 69Ga(α,n)72As, 71Ga(α,3n)72As, 71Ga(3He,2n)72As, natGe(p,x)72As, natGe(d,x)72As, 70Ge(α,n+p)72As, 70Ge(α,x)72As, 72Ge(p,n)72As, 72Ge(α,x)72As, 73Ge(p,2n)72As, 74Ge(p,3n)72As, natSe(p,x)72As, 74Se(p,x)72As, 74Se(α,x)72As, 76Se(p,n+α)72As and 76Se(p,x)72As. For the evaluation of As72 the experimental data was collected from online source (EXFOR), original publication and thesis. After the compilation of experimental data their normalization were performed on the basis of decay data and monitor reaction. The reliability of experimental data were checked with nuclear model codes (ALICE, EMPIRE and TALYS). The nuclear model calculation with 95% upper and lower limits gave best recommended nuclear data. The yield was calculated by using recommended data. After yield calculation the production of As72 by Ge72, Ge73, Genat, and Ga69 was analyzed on the basis of impurities, energy range and coast of target. The energy was optimized to the region where we got maximum yield with minimum impurity.

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