Advancements in radiochemistry and nuclear methods of analysis for safer and sustainable applications

Sosuke Han Sanada, Richard Nichida Shrestha
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引用次数: 0

Abstract

This research investigates radiochemistry and nuclear analysis technologies to make applications safer and more sustainable. A mathematical optimization approach optimizes radiopharmaceutical synthesis parameters for positron emission tomography (PET) imaging to maximize yield and minimize radioactive waste. Optimizing critical parameters improves the efficiency, safety, and sustainability of radiochemistry and nuclear technologies in medical imaging, nuclear energy, and environmental monitoring. The numerical example shows that optimization achieves the study goal. Optimization strategies improve medical imaging by increasing radiopharmaceutical yield and decreasing radioactive waste volume. Real-world implementation requires cost-effectiveness, safety restrictions, and numerous synthesis factors. Researchers, policymakers, and industry professionals must collaborate to enhance human and environmental welfare, according to the report. In conclusion, this research advances radiochemistry and nuclear procedures for safer and more sustainable applications, mitigating hazards and environmental effect and ensuring a safer and more sustainable future for nuclear technology.
放射化学和核分析方法在安全和可持续应用中的进展
本研究探讨放射化学和核分析技术,使应用更安全,更可持续。一种数学优化方法优化了正电子发射断层扫描(PET)成像的放射性药物合成参数,以最大限度地提高产量并减少放射性废物。优化关键参数可提高放射化学和核技术在医学成像、核能和环境监测方面的效率、安全性和可持续性。数值算例表明,优化达到了研究目标。优化策略通过增加放射性药物产量和减少放射性废物体积来改善医学成像。现实世界的实现需要成本效益、安全限制和许多综合因素。报告指出,研究人员、政策制定者和行业专业人士必须合作,以提高人类和环境福利。总之,这项研究促进了放射化学和核程序的更安全和更可持续的应用,减轻了危害和环境影响,并确保核技术的未来更安全和更可持续。
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