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Yanagisawa, Kayo; Matsueda, Makoto; Furukawa, Makoto*; Ishiniwa, Hiroko*; Wada, Toshihiro*; Hirata, Takafumi*; Takagai, Yoshitaka*
Analyst, 148(18), p.4291 - 4299, 2023/09
Times Cited Count：0 Percentile：0(Chemistry, Analytical)Quantitative imaging of trace elements was successfully performed by online isotope dilution laser ablation inductively coupled plasma mass spectrometry (online LA-ICP-IDMS). The sample aerosols produced by LA are mixed online with the mist created from an isotopically enriched spike solution via an in-house cyclonic spray chamber, which has a gas port on the top. Quantification was continuously achieved in each spot; subsequently, quantitative imaging was realized. Fe and Sr were selected as the model elements, and their spot quantifications based on online-isotope dilution. The method was applied to actual biological hard tissues, and the results were compared with electron probe microanalyzer data.
Yanagisawa, Kayo; Matsueda, Makoto; Furukawa, Makoto*; Ishiniwa, Hiroko*; Wada, Toshihiro*; Hirata, Takafumi*; Takagai, Yoshitaka*
no journal, ,
Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is more sensitive than other imaging analysis methods. The method requires matrix-compatible certified reference materials (CRMs) for the quantification of target elements. However, CRMs suitable for biological samples are rarely commercially available, making quantification difficult with conventional LA-ICP-MS methods. This study used a dual gas flow system combined with an isotope dilution method. In this system, two aerosols, an ablation sample and a nebulised spike solution, are mixed via a proprietary dual-port chamber. The developed method was used to quantify Fe and Sr in the CRMs and agreed with the certified values. In addition, biological samples (teeth and otoliths) were analysed and compared with values obtained by conventional chemical analysis to demonstrate their potential application for quantitative mapping.
Yanagisawa, Kayo; Yokota, Hiromi; Matsueda, Makoto; Ishiniwa, Hiroko*; Fujimoto, Katsushige*; Takagai, Yoshitaka*
no journal, ,
Fuel debris is considered a heterogeneous mixture of nuclear fuel, control rods and reactor structural materials that has cooled and solidified, and it is important to understand its composition (elements and isotopes) and distribution to formulate storage, treatment and disposal methods after fuel debris removal. Mass spectrometric imaging using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is useful for the aforementioned fuel debris analysis because it can visualise the distribution of elements and isotopes at the 10
- 10
g/g level with a spatial resolution of 10-100 m. However, the number of data is enormous when the number of measurement points is large. In this study, an automatic peak detection method using the asymmetric least squares method with a penalty term was developed, data processing for LA-ICP-MS was automated and an intuitive GUI was constructed.
