Synthesis and Characterization of Date Palm Fiber-Based Bio-Char and Activated Carbon and its Utilization for Environmental Remediation
Bibliographic record
Abstract
Natural agricultural products have the potential to be a substitute for synthetic polymers absorbentsin environmental remediation and spill cleanup and recovery. One of these natural by-productswhich is available in many regions of the world is Date Palm Fibers (DPF). DPF (also known assurface fibers) is a natural sorbent that exhibits good sorption characteristics. In an attempt tovalorize this abundant, low cost byproduct, we have investigated the micro porosity of this rawmaterial by carrying out two procedures. First, hydrothermal pyrolysis using a scalable reactor withonly water as solvent at high temperature (480 °C) under dry nitrogen atmosphere. Biochar yield wasfound varying from 30.5 to 33.6% (32%), with little bio-oil.Then the resultant biochar was physically activated with KOH and the mixture heated to 750oC(0.5oC/min) and kept at 750°C for 2 hours under Argon flow in a tubular furnace to produceactivated carbon. Second, the resulting biochar and activated carbons were then characterized byParticle Analyzer to measure their surface area, pore volume and pore diameter.For biochar, surface area : 1.1374 m²/g, pore volume 0.001883 cm³/g, pore diameter 1355.874 Å andfor activated biochar (activated carbon), surface area : 1220.2755 m²/g, pore volume: 0.062068cm³/g, pore diameter: 19.0116 Å were determined by particle characterization analyzer. ScanningElectron Microscopy (SEM), and X-ray Diffraction (XRD) was also used for other analysis .The oil sorption behavior of the raw DPF, biochar and activated biochar were examined with motoroil. The Oil Sorption Capacity (OSC) of raw DPF, biochar and activated biochar were tested with theoil as oil alone and an oil over water surface and the value calculated gravimetrically. The maximumOSC values of the sorbents were in the order of: DPF
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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 | 0.001 | 0.001 |
| 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".