Chemical composition and antifungal activity of <i>Carica papaya</i> Linn. seed essential oil against <i>Candida</i> spp.
Bibliographic record
Abstract
In recent years, the incidence of clinical yeast infections has increased dramatically. Due to the extensive use of broad‐spectrum antifungal agents, there has been a notable increase in drug resistance among infections yeast species. As one of the most popular natural antimicrobial agents, essential oils (EOs) have attracted a lot of attention from the scientific community. The aim of this study was to analyse the chemical composition and examine the antifungal activity of the EO extracted from the seeds of Carica papaya Linn. The papaya seed EO was analysed by gas chromatography‐mass spectrometry. The major constituent is benzyl isothiocyanate (99·36%). The filter paper disc diffusion method and broth dilution method were employed. The EO showed inhibitory effect against all the tested Candida strains including C. albicans, C. glabrata, C. krusei, C. parapsilosis and C. tropical with inhibition zone diameters in the range of 14·2–33·2 mm, the minimal inhibitory concentrations (MICs) in the range of 4·0–16·0 μg ml−1 and the minimum fungicidal concentrations (MFCs) in the range of 16·0–64·0 μg ml−1. Here, we found that the papaya seed EO has promising anticandida activity and identify C. papaya L. as a potential natural source of antifungal agents. The chemical composition and antifungal activity of essential oil of Carica papaya seeds were studied. The oil of papaya seeds could inhibit the growth of Candida spp. for the first report. Carica Papaya may be recognized as a possible new source of natural antifungal agents.
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 | 0.001 | 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".