Simultaneous spectrophotometric determination of iron and copper with chromogenic mixed reagents by partial least squares and H-point standard addition methods
Bibliographic record
Abstract
Nous decrivons la determination simultanee du fer et cuivre total en utilisant soit la methode des moindres carres partiels (PLS), soit celle d'addition standard au point-H (HPSAM). Nous avons utilise le melange de reactifs de 1,10- phenanthroline et de neocuproine pour la determination du fer et du cuivre. En appliquant la methode sur 15 echantillons synthetiques dans la gamme de concentration de 0.10-8.00 μg mL-' en Fe et de 0.12-8.75 μg mL - 1 en Cu, l'erreur relative standard totale a ete de 2.02%. Les deux methodes PLS et HPSAM ont demontre des capacites convenables pour determiner avec exactitude le fer et le cuivre a partir des spectres d'absorption superposes de leurs complexes. La methode proposee a ete appliquee avec succes pour la determination du fer et du cuivre dans le serum sanguin et l'eau de riviere. Les resultats de plusieurs echantillons analyses par la methode proposee sont en accord avec ceux obtenus par la technique FAAS.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".