Researchers have utilized advanced computational simulations to explore the most efficient and viable routes for the production of the positron-emitting radionuclide cesium-128 (¹²⁸Cs). This isotope is of significant interest for applications in nuclear medicine, particularly in positron emission tomography (PET), due to its short half-life and emission characteristics. The study focused on evaluating various nuclear reactions induced by protons and deuterons on xenon (Xe) and iodine (I) targets.

To conduct this investigation, the team employed a set of consolidated simulation tools in nuclear physics. GEANT4 codes were used for particle transport modeling and interaction with matter, while TALYS and EMPIRE codes were utilized for simulating nuclear reactions and calculating cross-sections. These simulations allowed for the prediction of ¹²⁸Cs production yields and the presence of radionuclidic impurities as a function of incident particle energy and target material. The primary goal was to identify optimal conditions that maximize the production of pure ¹²⁸Cs, minimizing the co-production of other isotopes that could interfere with PET imaging or increase patient radiation dose.

The simulation results provided crucial data on the cross-sections of relevant nuclear reactions, indicating which projectile-target combinations are most promising. This computational modeling approach is fundamental for planning production experiments in cyclotrons and accelerators, reducing the need for costly and time-consuming empirical testing. Optimizing ¹²⁸Cs production could facilitate its availability for research and clinical use, opening new avenues for disease diagnosis and monitoring via PET.