The parent and daughter nuclides in a radioactive decay chain arrive at secular equilibrium once they have a large half-life difference. The characteristics of this equilibrium state can be used to estimate the production time of nuclear materials. In this study, a mathematical model and algorithm that can be applied to radio-chronometry using the radioactive equilibrium relationship were investigated, reviewed, and implemented. A Bateman equation that can analyze the decay of radioactive materials over time was used for the mathematical model. To obtain a differential-based solution of the Bateman equation, an algebraic numerical solution approach and two different matrix exponential functions (Moral and Levy) were implemented. The obtained result was compared with those of commonly used algorithms, such as the Chebyshev rational approximation method and WISE Uranium. The experimental analysis confirmed the similarity of the results. However, the Moral method led to an increasing calculation uncertainty once there was a branching decay, so this aspect must be improved. The time period corresponding to the production of nuclear materials or nuclear activity can be estimated using the proposed algorithm when uranium or its daughter nuclides are included in the target materials for nuclear forensics.

In this study, the MoS2 nanoparticles grown on crumpled 3D graphene microball (3D GM–MoS2) was synthesized using a microfluidic droplet generator with thermal evaporation-driven capillary compression and hydrothermal reaction. The morphology and size of 3D GM–MoS2 are controlled by the concentration of nano-sized graphene oxide (GO) and the flow rate of oil phase on the droplet generator. The 3D GM–MoS2 with fully sphere-shape and uniform size (~ 5 μm), and homogeneous growth of MoS2 nanoparticles could be synthesized at the flow rate of the oil phase of 60 μL/min with the optimized GO concentration of 1.0 mg/mL, and ( NH4)2MoS4 concentration of 2.0 mg/mL.

소나무재선충은 소나무에이즈라고 불리는 소나무해충으로서 전국적으로 큰 피해를 끼치고 있다. 최근 소나무재선충 피해는 경북지역의 경주 및 포항지역에 많이 발생하고 있다. 특히 경주지역에는 역사적인 유적지 및 고분공원이 많은데 이 지역의 소나무 숲에 재선충 피해가 확산되고 있어서 역사적 가치뿐만 아니라 관광산업에 큰 피해가 예상된다. 재선충 피해를 줄이기 위하여 재선충 감염목에 대한 신속한 제거작업이 필요한데 이에 대한 진단이 어려운 실정이다. 본 연구에서는 LAMP-PCR 진단키트를 이용하여 경주 고적지 지역의 재선충 감염이 의심되는 소나무를 진단하였다. 경주남산 및 불국사부근 7개 지역에서 재선충 감염 의심목으로부터 시료를 채취하여 조사해 본 결과 약 50%의 소나무에서 양성반응을 나타내었다. 본 연구를 통하여 경주 고적지의 재선충 감염여부를 신속하게 진단할 수 있었고 경주 유적지의 재선충 피해를 억제하는데 기여할 수 있을 것으로 판단한다.