Measurement and Chemical Modeling of the Solubility of Na<sub>2</sub>SiO<sub>3</sub>·9H<sub>2</sub>O and Na<sub>2</sub>SiO<sub>3</sub> in Concentrated NaOH Solution from 288 to 353 K
Bibliographic record
Abstract
In order to comprehensively use magnesium and silicon resources existing in serpentine ore, an efficient process for decomposing serpentine by the use of concentrated NaOH solution is proposed at elevated temperature. In this new process, magnesium is obtained as residues with the form of Mg(OH) 2 after filtration, while silicon is dissolved in an alkaline solution and then separated by a crystallization operation with the common ion effect of NaOH at relatively low temperature. Solubilities of sodium metasilicate nonahydrate (Na 2 SiO 3 ·9H 2 O) and anhydrous sodium metasilicate (Na 2 SiO 3 ) in NaOH solutions were measured. The experiments were carried out at the temperature range from 288.2 to 313.2 K and 343.2 to 353.2 K for these two solids, respectively. Over the investigated concentration range from 0.0 to 11.2 mol·kg –1, the addition of NaOH caused the solubility of both Na 2 SiO 3 ·9H 2 O and Na 2 SiO 3 to decrease due to common ion effect. It was also found that increasing the temperature favored the solubility of sodium metasilicate nonahydrate but depressed the solubility of anhydrous sodium metasilicate in NaOH solutions. A chemical model has been established with newly obtained interaction parameters of the Bromley–Zemaitis model by regressing the experimental solubility of Na 2 SiO 3 ·9H 2 O in NaOH solutions from 288.2 to 313.2 K along with the experimental solubility data of Na 2 SiO 3 in NaOH solutions at 353.2 K.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".