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Yanagisawa, Kayo; Yokota, Hiromi*; Fujimoto, Katsushige*; Takagai, Yoshitaka*
Bunseki Kagaku, 73(9), p.515 - 522, 2024/09
On-line isotope dilution-laser ablation-inductively coupled plasma-mass spectrometry (on-line ID-LA-ICP-MS) is capable of quantification for each point ablated by laser, then the quantitative mapping of elements can be also conducted by reconstruction of the obtained each point data. The volume of data obtained as flow peaks in this system as a flow injection analysis, will be multiplied by each data such as number of m/z, scan time, time resolution and measurement position, and the total amount of data is enormous, resulting in a large human power and time consumption for data processing. In this paper, an original application software using Python to improve the efficiency of data processing in on-line ID-LA-ICP-MS was developed. To discriminate between the time-to-peak intensity and the background noise, an automatic peak detection using penalized asymmetric least squares was developed.
阿部 雄太
川上 智彦*; 藤本 勝成*; 横田 裕海*
JP, 2022-057807 
Patent licensing information Patent publication (In Japanese)
【課題】未知試料に含まれる金属元素や化合物を分類・推定する方法を提供する。 【解決手段】本発明である化合物同定方法は、想定される化合物種の標準試料についてスペクトルデータを因子分解して因子及び前記因子の影響度を表す因子スコアを導出し、前記化合物種を決定木において前記因子スコアで分類するためのスコア閾値及び前記因子スコアを前記決定木にかける因子適用順を予め学習・設定しておき、未知試料のスペクトルデータに対して前記標準試料の因子を用いて前記未知試料における因子スコアを算出し、前記因子適用順にしたがって前記決定木で前記未知試料の因子スコアを前記スコア閾値によって分類していくことにより、前記未知試料に含まれる化合物種を同定する、ことを特徴とする。
Kawakami, Tomohiko*; Nagayama, Sakiko*; Yokota, Hiromi; Abe, Yuta; Otaka, Masahiko; Fujimoto, Katsushige*; Takagai, Yoshitaka*
no journal, ,
no abstracts in English
Yokota, Hiromi*; Fujimoto, Katsushige*; Kawakami, Tomohiko*; Nagayama, Sakiko*; Okazaki, Kodai*; Makuuchi, Etsuyo*; Abe, Yuta; Otaka, Masahiko
no journal, ,
no abstracts in English
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.
Yokota, Hiromi*; Fujimoto, Katsushige*; Kawakami, Tomohiko*; Nagayama, Sakiko*; Abe, Yuta; Otaka, Masahiko
no journal, ,
no abstracts in English
Nagayama, Sakiko*; Kawakami, Tomohiko*; Yokota, Hiromi; Abe, Yuta; Otaka, Masahiko; Fujimoto, Katsushige*; Takagai, Yoshitaka*
no journal, ,
no abstracts in English
