Oil-Water Adsorptive Properties of Chemically Treated Sugarcane Bagasse
Bibliographic record
Abstract
<p class="1Body">Among the contaminants plaguing our waters today, oil remains one of the most pervasive and challenging contaminant to remove. Oil pollution occurs not only through factory discharge, but also by accident spills from the fuel of the vehicle or the transportation of oil. Sugarcane bagasse (SB) is an abundant agricultural by-product containing almost half of cellulose and one quarter of lignin. After chemical treatments SB can be modified their hydrophobicity leading to improve its oil adsorptive properties. In a column experiment containing 1 g of SB, oil was able to be adsorbed from oil and water mixture by, from the highest to the lowest uptake, AASB, ASSB, NSB, SSB and BSB with the average oil adsorption capacity of 13.0 mL/g, 11.25 mL/g, 10.50 mL/g, 9.0 mL/g and 8.75 mL/g respectively. The results were concurrently meeting the result of material characterisation using FTIR, where acetic acid treated SB (AASB) consists of high lignin leading to high hydrophobicity. On the other hand, BSB showed the lowest oil adsorption capacity and more hydrophilic due to the lowest amount of lignin present in SB. The result showed a potential use of natural material of SBs with high lignin content to tackle oil spill in water environment.</p>
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".