FAAS Determination of 5 Metal Elements in Tianfoshen Oral Liquor and Its Raw Medicines
Bibliographic record
Abstract
The samples was digested with a mixed acid of HNO3 and HClO4,and contents of the 5 metal elements,Cu,Fe,Zn,K and Na,in the sample solution was determined by FAAS.To overcome the interferences of co-existing substances,iron(Ⅲ) was determined in HCl(2+98) solution,zinc(Ⅱ) was determined in n-butyl alcohol+H2O(6+94) solution,and Cu(Ⅲ),K(Ⅰ),Na(Ⅰ) were determined in HNO3(2+98) solution.Total volumes of all these solution were 250 mL.The proposed method was used in the analysis of samples of Tianfoshen oral liquor and its raw medicines,i.e.,american ginseng,lucid asparagus,fingered citron,bolbostemma,senso,obovatus canada,seabuckthorn and Chinese actinidia root.The values of recovery for determination of Cu,Fe,Zn,K and Na found by standard addition method were in the range of 91.2%-109.0% with values of RSD′s(n=6) less than 3.5%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".