Determination of Selenomethionine in Selenium Enriched Yeast by Using Species-unspecific and Species-specific Isotope Dilution Analysis with HPLC-ICPMS
Bibliographic record
Abstract
セレンイースト標準物質（SELM-1, National Research Council of Canada製）中のセレノメチオニン（SeMet）の定量を行い，抽出手法の検討を行った．また高速液体クロマトグラフィーをオンラインで接続した誘導結合プラズマ三次元四重極質量分析計（HPLC-ICP3DQMS）を用いたspecies-unspecific及びspecies-specificな同位体希釈分析法（isotope dilution analysis, IDA）によりSELM-1中のSeMetの定量を行った．そして，結果を比較することで2種類のIDAの評価を行った．SeMetの抽出には，Lipase Type VII（Sigma Chemicals. St, Luis, MO, USA）及びProtease Type XIV（Sigma Chemicals, St. Luis, MO, USA）を用いて24時間酵素分解を行う方法が，適していることが確認された．ただし，前処理操作中にSeMetの分解が確認された．SELM-1中のSeMetの測定値は，species-unspecific IDAが3040±77 μg g－1，species-specific IDAが3154±82 μg g－1であり，保証値（3448±146 μg g－1）とそれぞれ4σ，2σ以内で一致したことから，安定同位体を濃縮した化合物が合成できる場合はspecies-specific IDAを用いる方がよいと結論づけた．
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".