Carbonisation of chrome waste: sustainable energy, cost-effectiveness and recycling
Bibliographic record
Abstract
The leather industry is currently under severe threat from efforts to eliminate environmental pollution issues caused by the generation of leather waste. Landfills must be used to dispose of leather waste, which harms the environment. Use of different chemicals during leather processing produces wastes in solid, liquid and gaseous forms, contributing to environmental pollution. The development of leather/paper-waste-based materials is a solution promoted by the recycled leather industry. A study was conducted in this work to prepare a polymerised electrolytic solution (PES) from chrome-containing leather waste using carbonised particles, microfibrillated cellulose and poly(ethylene glycol) to investigate their potential use in sustainable energy production. In this method, the consumed power (rechargeable) is based on the redox process. Field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy and Fourier transform infrared spectroscopy were used to investigate the physical and chemical features of the PES. On the PES, energy generation was demonstrated using a multimeter and rheological properties. The results show that energy was produced with a voltage of 1101.12 ± 1.00 mV per cell, a current of 639.12 ± 0.42 mA per cell and a resistance of 88.77 ± 0.17 Ω per cell. Rheological tests were conducted at 25°C with 8% (w/v) PES and gradually increased shear-strain rates of 0.01–100 s −1 . This work presents the environmental results of a comparative examination of solutions for material and energy recovery from waste, along with those derived from mass and energy balances.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 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".