Phytochemical Test and Cytotoxic Activity of Macroalgae Eucheuma cottonii against Cervical HeLa Cells
Bibliographic record
Abstract
According to Riset Kesehatan Dasar (Riskesdas) in 2013, the prevalence of cancer is about 1.4% from which the incidence of cervical cancer in Indonesian women is about 16 over 100.000.[1][2][3] Various treatments have been made to cure cancer, including surgery, chemotherapy, radiotherapy, and targeting therapy.But, all of these procedures have side effects, such as vomiting, malaise, anemia and susceptibility with infection.Marine organisms, mainly seaweeds, are sources of many natural products with pharmacological, medical and biological activities.5-6 From these seaweeds, the Rhodophycean Eucheuma cottonii grown in Malaysia and Indonesia beaches showed a broad spectrum of Phytochemical Test and Cytotoxic Activity of Macroalgae Eucheuma cottonii against Cervical HeLa Cells ABSTRACT Intoduction: Marine resource of macroalgae Eucheuma cottonii from East Lombok, Nusa Tenggara Barat, Indonesia, have potential as anti-cervical cancer agent.Objectives: Finding cytotoxic activity of Eucheuma cottonii hexane, ethylacetate, chloroform and ethanol extracts against cervical HeLa cells by MTT cell proliferation assay.Methods: The extracts was tested in phytochemical and cytotoxic activity test.Phytochemical test to identify composition of secondary metabolite such as flavonoid, alkaloid, saponins, tannin, triterpenoid, steroid and glycoside.The amount of substances contained in the extract sample was analyzed by Thin Layer Chromatography (TLC).Cytotoxic activity using HeLa cells.Results: Phytochemical test of E. cottonii extracts showed the positive result for metabolite of flavonoid, whereas the TLC analysis revealed that the extracts containing five chemical compounds.Ethanol, n-hexane, chloroform, and ethyl acetate extracts of E. cottonii exhibited a strong cytotoxic activity against cervical HeLa cells with IC 50 of 7.54 μg/mL, 5.73 μg /mL, 4.82 μg /mL and 4.34 μg / mL, respectively.Conclusion: The results suggest that macroalgae Eucheuma cottonii could be used as a new anti-cervical cancer's candidate.
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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) | 0.002 | 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".