Evaluating nanocellulose from food waste as a functional amendment for sandy soils: Linking fiber structure to water dynamics, soil mechanics, and plant-microbes interactions
Bibliographic record
Abstract
Micro and nanofibers have the ability to imbue control over water transport properties and mechanical cohesion to granular materials. These key characteristics are proportional to the fiber size, if finely tuned, and can enable soils to more effectively host life. Typically, requirements include a high organic matter content, a rich microbiome, and especially physico-chemical properties conducive to water dynamics. Herein, we developed mechanochemical processes to fibrillate food-waste-based biomass (namely, peels) into a range of fiber solutions. Macrofibers and nanofibers were obtained via mild processing steps and were fully characterized, the relation between the morphology as well as physico-chemical properties of the fibers was thoroughly studied. Three sand types associated with deserts were evaluated for their potential benefits from the fiber amendments. The compressive response of the amended soils and, more importantly, their water holding, water permeability, and evaporation rate were thoroughly evaluated. The resistance of reinforced soil matrices to biodegradation and dry-wet cycling was also used to evaluate long-term performance. Finally, this study provides an outlook on nutrient retention for agricultural endeavors as a function of fiber amendment type and content.
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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 | 0.001 | 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".