Thermal Carbonization of Biomass Wood Dust and Algae Wastes <i>via</i> Microwave-Assisted H<sub>3</sub>PO<sub>4</sub>: Desirability Function and Statistical Optimization for Methylene Blue Dye Removal
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Bibliographic record
Abstract
This research utilized a carbonization procedure via microwave irradiation assisted by H3PO4 to generate a cost-effective adsorbent (CWDAG) from wood dust (WD) and algal (AG) biomass. The resulting CWDAG adsorbent was characterized for its methylene blue (MB) dye adsorption properties. The activation process employs 800 W microwave radiation for 15 min under a nitrogen gas (99.99%) atmosphere. Multiple techniques were employed to study the physicochemical properties of CWDAG, such as FTIR, XRD, FSEM-EDX, pHpzc, and BET. Box-Behnken design (BBD) was employed to optimize the three important parameters of adsorption, as follows: A: CWDAG dosage (0.02–0.12 g), B: pH (4–10), and C: contact time (30–420) min. BBD results show the highest removal of MB (98.6%) was met with a contact period of 225 min, a dosage of 0.12 g/100 mL of CWDAG at pH 10. Analysis of the kinetic profiles show that MB adsorption onto CWDAG occurred via a pseudo-second order (PSO) model. Adsorption isotherm analysis at equilibrium confirm that the Freundlich and Langmuir isotherm models fit the equilibrium data with similar goodness-of-fit results. Based on the Langmuir model, the maximum adsorption capacity (qmax) of CWDAG for MB is 32.3 mg/g. The possible mechanism of MB adsorption on the CWDAG surface include several contributions such as π–π stacking, H-bonding electrostatic forces, and pore filling.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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