Optimization of arsenic removal from water using novel renewable adsorbents derived from orange peels
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• TiO 2 impacted orange peel activated carbon (ACOP-TiO 2 ) physicochemical properties. • ACOP-TiO 2 adsorption capacity for arsenic (As) reached 10.91 mg/g. • Optimal condition: pH = 4.2, As initial concentration = 50 mg/L, adsorbent dose = 3.3 g/L. • Pseudo-2nd-order kinetic and Freundlich isotherm models best describe As adsorption. • Thermodynamic studies revealed a spontaneous and endothermic process. This study developed activated carbon from orange peels (ACOP) and modified ACOP with titanium dioxide (TiO 2 ) (ACOP-TiO 2 ), focusing on optimizing the adsorption capacity of ACOP-TiO 2 for arsenic removal from water. The developed adsorbent (ACOP-TiO 2 ) was prepared and characterized by Scanning electron microscopy (SEM), Energy dispersive X-ray analysis (EDS), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), surface area analysis, and elemental analysis. The Brunauer-Emmett-Teller (BET) test demonstrated that the modification increased the surface area of ACOP-TiO 2 by 2.55 times greater than ACOP. Adsorption experiments were conducted using synthetic aqueous solutions of arsenic (As(V)), and the response surface methodology (RSM) incorporating central composite design (CCD) was employed for experimental optimization. The results indicated that ACOP-TiO 2 demonstrated efficient arsenic removal, with optimal pH identified at approximately 4.2. Increasing adsorbent dosage (0.025–0.4 g in 50 mL solution, corresponding to 0.5–8 g L -1 ) positively influenced adsorption efficiency, while initial arsenic concentration (10–60 mg L -1 ) directly correlated with adsorbent capacity, with a predicted optimum concentration of 50 mg L -1 . Contact time (0.4–6 h) exhibited minimal impact on adsorbent capacity within the experimental timeframe. Under the conditions of pH 4.2, an initial arsenic concentration of 50 mg L -1 , an adsorbent dose of 3.3 g L -1 (0.165 g adsorbent/50 mL solution), and a contact time of 4.8 h, the maximum adsorbent capacity in arsenic removal for ACOP-TiO 2 was 10.91 mg g −1 . The intra-particle diffusion kinetic model and Temkin isotherm best described arsenic adsorption onto ACOP-TiO 2 . This research contributes valuable insights into utilizing agricultural waste for water treatment, offering a sustainable and economical solution for arsenic removal.
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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 | 0.000 | 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) | 0.008 | 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