Evaluation of production cross-sections for theranostic 67Cu radionuclide via proton-induced nuclear reaction on 68Zn target
Copper–67 (T1/2 = 61.83 h, ) is a promising radionuclide for theranostic applications especially in radio immunotherapy. However, one of the main drawbacks for its application is related to its limited availability. Various nuclear reaction routes investigated in the last years can result in 67Cu p...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Elsevier
2021
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/96184/8/96184_Evaluation%20of%20production%20cross-sections%20for%20theranostic_SCOPUS.pdf http://irep.iium.edu.my/96184/9/96184_Evaluation%20of%20production%20cross-sections%20for%20theranostic.pdf http://irep.iium.edu.my/96184/ https://www.sciencedirect.com/science/article/abs/pii/S0969804321001421?via%3Dihub https://doi.org/10.1016/j.apradiso.2021.109735 |
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| Summary: | Copper–67 (T1/2 = 61.83 h, ) is a promising radionuclide for theranostic applications especially in radio immunotherapy. However, one of the main drawbacks for its application is related to its limited availability. Various nuclear reaction routes investigated in the last years can result in 67Cu production, although the use of proton beams is the method of choice taken into account in this work. The goal of this work is a revision of the cross-sections aimed at 67Cu yield, which were evaluated for the 68Zn(p,2p)67Cu reaction route up to 80 MeV proton energy. A well-defined statistical procedure, i.e., the Simultaneous Evaluation on KALMAN (SOK), combined with the least-squares concept, was used to obtain the evaluated data together with the covariance matrix. The obtained evaluated data were also compared to predictions provided by the nuclear reaction model codes TALYS and EMPIRE, and a partial agreement among them has been found. These data may be useful for both existing and potential applications in nuclear medicine, to achieve an improvement and validation of the various nuclear reaction models, and may also find applications in other fields (e.g., activation analysis and thin layer activation). |
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