Strategy for Maintaining Environmental Stability: Synthesis CO<sub>2</sub> Emission Gases into Sodium Carbonate
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Bibliographic record
Abstract
The growing urgency of global environmental issues and the critical role of green and sustainable chemistry in developing eco-friendly processes call for innovative strategies to minimize waste. The conversion of carbon dioxide (CO2), the primary greenhouse gas, into high-value compounds such as sodium carbonate (Na2CO3) needs to be carried out by reacting it with sodium hydroxide (NaOH) in solution. Optimal CO2 conversion can be achieved when integrating factors affecting the diffusion-reaction process is formulated correctly. Therefore, this research aims to analyze and investigate the extent influence of NaOH concentration, reaction temperature, and stirring speed in a pressurized system on the resulting Na2CO3. Observations were conducted across various variables to obtain comprehensive data and information. NaOH concentrations were tested in the range of 10-30wt%, stirring speeds of 200 and 300 rpm, and reaction temperatures of 20–50°C, with fixed variables of system pressure equivalent to 9.8 kPa and CO2 gas flow rate of 2 liters/minute. To ensure Na2CO3 formation, characterization was performed using Fourier Transform Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy (SEM). The results show that stirring speed, NaOH concentration, and system temperature can enhance the reaction rate and CO2 diffusion in the solution, as evidenced by the increased production of Na2CO3. The highest conversion was achieved at a stirring speed of 300 rpm, NaOH concentration of 30wt%, and reaction temperature of 50°C, yielding 16.43 grams per 300 ml or equivalent to 54.77 grams per liter. FTIR and SEM test results were identical to the Na2CO3 product under optimal conditions. The method in this research offers an alternative process worth considering, as it can produce relatively high yields. However, further observations are still needed by combining NaOH concentration and CO2 flow rate to make the process more effective, efficient, and economical.
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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) | 0.000 | 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) | 0.000 | 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 it