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The research presented here is the development of sensor materials that are applicable for real-time in situ quantification of radiostrontium in aqueous solutions. Two different approaches were applied to prepare highly selective structures for simultaneous extraction and detection of radiostrontium using online detection methods. Online data were acquired with a flow scintillation analyzer IN/US β-Ram model 5 (LabLogic Systems, Inc) with a 30-s dwell time. Both approached utilized the commercially available SuperLig620 solid-phase extractant (IBC Technologies, Inc.) to concentrate the strontium in combination with a scintillator to quantify the radioactivity. [ABSTRACT FROM AUTHOR]

This contribution characterizes the stability of scintillating resins for ionizing radiation detection that were synthesized with 2-(1-naphthyl)-5-phenyloxazole (α-NPO) or 2-(1-naphthyl)-4-vinyl-5-phenyloxazole (v-NPO) fluor in polystyrene (PS) or poly(4-methyl styrene) (PVT) matrices. Leaching studies of the PS and PVT resins with methyl acetate show a 60 % reduction in luminosity and 80 % reduction in detection efficiency for α-NPO samples; while v-NPO resins retained detection properties. Degradation studies indicate the nitration of PS resins and the fluors after nitric acid exposure, resulting in a 100 % reduction in optical properties; whereas PVT resins with v-NPO fluor maintained 20 % detection efficiency. Heuristics are reported for designing stable scintillating resins. [ABSTRACT FROM AUTHOR]

This contribution details the application of extractive scintillating resin with covalently bound fluorophore, v-NPO, and ligand, methyl phosphonic acid, in flow-cell experiments utilizing varying column diameters, resin diameters and diffusion times. The detection efficiency was evaluated by standard offline liquid scintillation counting methods. Diffusion experiments were conducted to determine the effect of the location of the alpha decay on detection efficiency, and the data were compared to a diffusion model to assess the feasibility of relying on diffusion-enhanced detection efficiency in an online measurement. [ABSTRACT FROM AUTHOR]