Chemical composition, antioxidant potential and antimicrobial activities of Ixora scheffleri subspecies keniensis essential oil
Bibliographic record
Abstract
Background: Essential oil (EO) obtained from Ixora scheffleri subspecies (subsp.) keniensis has valuable biological properties and can play a possible therapeutic role because of its antimicrobial and antioxidant nature. Aim: In this article, the chemical constituents, antimicrobial activity and antioxidant capacity of the EO obtained from Ixora scheffleri subsp. keniensis were determined using standard procedures. Setting: Plant material collection, essential oils extractions and antimicrobial assays were performed at Jomo Kenyatta University of Agriculture and Technology (JKUAT), Department of Botany Laboratories. Gas Chromatography Mass Spectrophotometry (GC/MS) analysis was carried out at the Physical Science Laboratory, MacEwan University, Canada. Methods: The chemical constituents were determined using GC/MS. The total phenol content was evaluated using the Folin–Ciocalteu procedure. The antioxidant activity was determined using 2,2-diphenyl-1- picrylhydrazyl (DPPH) and β -carotene linoleic acid assays. The antimicrobial assay was performed using the disc diffusion method. Results: The total phenol content of the EO was estimated to be 91.6 µ g/mg ± 0.5 µ g/mg. The antioxidant activity of EO obtained from Ixora relative to ascorbic acid was found to be 52% using the β -carotene linoleic acid assay. The DPPH scavenging activity of 30 µ g/mL EO obtained from Ixora and 30 µ g/mL ascorbic acid was 81.65% and 97.0%, respectively. The EO was found to have significant susceptibility against Escherichia coli , and intermediate susceptibility against Candida albicans . However, Staphylococcus aureus, Bacillus subtilis and Pseudomonas aeruginosa showed complete resistance. Conclusion: The in vitro chemical compositional analysis of EO obtained from Ixora scheffleri subsp. keniensis confirms the presence of phenolic compounds attesting to the antioxidant properties and antimicrobial properties.
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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 | 0.001 | 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".