EFFECT OF EXTRACTIVES ON THE THERMAL DECOMPOSITION OF WHEAT, TRITICALE, AND FLAX CROP RESIDUES : A KINETIC STUDY
Bibliographic record
Abstract
A kinetic study was performed using the Kissinger and Coats-Redfern methods to examine the effect of extractives on thermal decomposition of three crop residues, wheat straw, triticale straw and flax shives. The extractives-free crop residues required higher temperatures for the onset of thermal decomposition than the corresponding native/unextracted samples. Activation energy (Ea) values varied according to kinetic analysis and the extractives-free samples generally showed significantly higher Ea values (65-214 kJ.mol-1) than the native/unextracted samples (58-205 kJ.mol-1). This information is necessary for defining the use of crop residues as agro-fillers in composite materials and feedstock for bioenergy and biochemical via pyrolysis. Keywords: wheat straw, triticale straw, flax shives, extractives, thermal decomposition, kinetic analysis, Kissinger method, Coats-Redfern method, activation energy.
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 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 | 0.000 | 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) | 0.001 | 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".