Testing a model-guided approach to the development of new thermoluminescent materials using YAG:Ln produced by solution combustion synthesis

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• 作者：E.D. Milliken ; L.C. Oliveira ; G. Denis ; E.G. Yukihara ; ^{eduardo.yukihara@okstate.edu}
• 关键词：Thermoluminescence ; YAG ; Yttrium aluminum garnet ; Lanthanide ; Thermometry
• 刊名：Journal of Luminescence
• 出版年：2012
• 期刊代码：54_00222313
• 类别：ch
• 出版时间：September, 2012
• 卷：132
• 期：9
• 页码：2495-2504
• 文件大小：1292 K

摘要

The objective of this work is to test a model-guided approach, coupled with an efficient material synthesis method, for the development of new thermoluminescent (TL) material using yttrium aluminum garnet (YAG, Y₃Al₅O₁₂) as a model material. We systematically investigated undoped and lanthanide-doped YAG using x-ray diffraction (XRD), TL, and radioluminescence (RL) to understand the role of the lanthanides in the TL process, i.e., whether they act as trapping centers or recombination centers. We also prepared samples with multiple dopants to test the possibility of creating materials with multiple TL peaks. The initial rise method of TL analysis was used to estimate the activation energies associated with the TL peaks.

The role of the lanthanide impurities predicted using the lanthanide energy level diagram was largely confirmed, as evidenced by the TL curves, TL emission spectra and activation energy analysis. However, our data suggests that the exact role of the lanthanide dopants during the TL process depends on the thermal stability of the trapped charges, i.e. the same lanthanide can act as a trapping center in one system and as a recombination center in another system. These results demonstrate the possibility of introducing appropriate TL peaks and recombination centers in YAG produced by SCS by lanthanide doping, where the role of the lanthanide dopant is consistent with a model for the lanthanide energy levels. This allows for a more guided approach to the development of new TL materials with peaks in certain temperature range or multiple TL peaks, at least in conditions in which the model applies.