Chemical composition, anti-angiogenic and cytotoxicity activities of the essential oils of<i>Cymbopogan citratus</i>(lemon grass) against colorectal and breast carcinoma cell lines
Bibliographic record
Abstract
The essential oil of Cymbopogan citratus (lemon grass) was isolated by steam distillation method and subjected to cytotoxicity activity using two different cell lines, human colon carcinoma (HCT-116), breast carcinoma cell lines (MCF-7) and anti-angiogenic activity. The cytotoxicity activity study was determined using the MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2,4-tetrazolium bromide] assay and anti-angiogenic activity using rat aortic ring model. The chemical composition of the essential oil was determined by gas chromatography–mass spectrometry (GC–MS) and GC–flame ionization detection (FID). Forty-one compounds, representing 88.5% of the lemon grass oil was identified and the main components were neral (29.8%) and geranial (44.6%). The free radical scavenging activity of the essential oil showed an IC50 value of 156.1 μg/mL. The results showed that essential oil of lemon grass possessed potential cytotoxic effect on HCT-116 and with the IC50 value of 27.41 ± 4.3 μg/mL comparing to MCF-7 with IC50 value of 41.90 ± 1.2 μg/mL. Significant anti-angiogenic activity of the sample was observed with 99 ± 0.8% of inhibition at 100 μg/mL.
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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".