Study of the Chemical Components, Bioactivity and Antifungal Properties of the Coffee Husk
Bibliographic record
Abstract
Coffee husk is a fibrous mucilaginous material representing the major residues from the handling and processing of coffee. Currently, coffee husk is discarded which contributes to environmental pollution. Dry and semi-dry coffee husk were extracted by hot infusion and the polyphenol profile was studied by UHPLC and Q-Orbitrap mass spectrometry. Free radical scavenging activity in the infusion was between 26.61 at 31.33 mmol Trolox equivalent antioxidant capacity (TEAC)/kg, as measured by the assay with ABTS and DPPH radical. The results indicated that coffee husk contained 367.45 and 396.04 g/kg of total dietary fiber in dry and semi-dry sample, respectively. While the infusions contain exclusively soluble dietary fiber 0.64 and 0.98 g/L. The methanol extracts of coffee husk presented antimicrobial activity of P. camemberti, P. expansum and P. roqueforti, A. flavus and A. niger, many of their mycotoxins producers. The minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC) values for the Penicilliums strains ranged from 6.3 to 50 g/L, whereas on the Aspergillus strains the data detected ranged from 25 to 50 g/L, respectively. This study indicates the possible exploiting of this coffee by-product as potential natural health promoting and preservative ingredient.
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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 | 0.000 | 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".