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Nuclear and chemical data for life sciences

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Abstract

Use of reactor produced radionuclides is popular in life sciences. However, cyclotron production of proton rich radionuclides are being more focused in recent times. These radionuclides have already gained attention in various fields, including life sciences, provided they are obtained in pure form. This article is a representative brief of our contributions in generating nuclear data for the production of proton rich radionuclides of terbium, astatine, technetium, ruthenium, cadmium, niobium, zirconium, rhenium, etc., which may have application in clinical, biological, agriculture studies or in basic research. The chemical data required to separate the product isotopes from the corresponding target matrix have been presented along with a few propositions of radiopharmaceuticals. It also emphasizes on the development of simple empirical technique, based on the nuclear reaction model analysis, to generate reliable nuclear data for the estimation of yield and angular distribution of emitted neutrons and light charged particles from light as well as heavy ion induced reactions on thick stopping targets. These data bear utmost important in radiation dosimetry.

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Acknowledgments

I sincerely acknowledge my collaborators for their contributions and advice in original work. My sincere thanks go to the Council of Scientific and Industrial Research (CSIR) for providing necessary grants. This work is as part of the Saha Institute of Nuclear Physics-Department of Atomic Energy, XI five year plan project “Trace Analysis: Detection, Dynamics and Speciation (TADDS)” and XII five year plan project “Trace Ultratrace Analysis and Isotope Production (TULIP)”.

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  1. Moumita Maiti

    Present address: Department of Physics, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India

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  1. Chemical Sciences Division, Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata, 700064, India

    Moumita Maiti

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Correspondence to Moumita Maiti.

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Maiti, M. Nuclear and chemical data for life sciences. J Radioanal Nucl Chem 297, 319–329 (2013). https://doi.org/10.1007/s10967-012-2345-2

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