Effect of a Natural Brightener, Daphne gnidium L. on the Quality of Nickel Electroplating from Watts Bath
Bibliographic record
Abstract
Daphne gnidium L. (DGL), a plant known to be rich source of polyphenols, a naturally occurring class of antioxidants, was tested for its ability to play the role of primary and secondary brighteners for electrodeposition of nickel, as a replacement for synthetic brighteners such as glycerol and formaldehyde. A simple and convenient approach was adapted consisting in adding an accurate amount of powdered leaves of Daphne gnidium L. (DGLP) or Daphne gnidium L. leaves extract (DGLE), to the Watts bath, to play the role of brightening agents. Cyclic voltammetry studies revealed that DGLP could inhibit the reaction of nickel reduction and improve the quality of the deposits as efficiently as glycerol and formaldehyde. SEM analyses showed that the micro-cracks decreased and sometimes disappeared from nickel deposits prepared in the presence of DGLP as a brightener. The results of this study show that DGL can be used satisfactorily, with minimum operations as a brightening agent for nickel electrodeposition. The key idea of direct immersion of DGLP in the Watts bath, aimed to the replacement of synthetic brighteners and the reduction of the overall cost of nickel electrodeposition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".