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Record W4287841697 · doi:10.21580/wjc.v5i1.9476

Phytochemical Screening and Larvicidal Activity of Kebiul (Caesalpinia Bonduc. L) Seed Kernel Against Aedes Aegypti Mosquito

2022· article· en· W4287841697 on OpenAlexaff
Popi Rantina, Dwi Fitri Yani, Suci Permata Sari, Dany Raihan

Bibliographic record

VenueWalisongo Journal of Chemistry · 2022
Typearticle
Languageen
FieldMedicine
TopicBiological Stains and Phytochemicals
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhytochemicalAedes aegyptiTerpenoidBiologyTraditional medicineFlavonoidToxicityAcute toxicityBotanyLarvaChemistryAntioxidantMedicineBiochemistry

Abstract

fetched live from OpenAlex

Dengue Hemorrhagic Fever (DHF) is caused by an infected A. aegypti mosquito, which can cause serious bleeding, a sudden drop in blood pressure and even death. Kebiul seed kernel extract is thought to contain flavonoid compounds, terpenoids, saponins and steroids that can be used as larvicides. The purpose of this study was to determine the toxicity of the extract, n-hexane fraction, and ethanol fraction of kernel seed (C. bonduc. L) against A. aegypti mosquito larvae. This study used the methods of extraction, phytochemical screening, and toxicity tests by calculating larval mortality. Based on the results of phytochemical screening, extract of kernel seed (C. bonduc. L) contains tannins, flavonoids, alkaloids, steroidal saponins and terpenoids. Toxicity test (LC50 values) of extract, n-hexane fraction, and ethanol fraction of kernel seed (C. bonduc. L) are 368,566 g/mL, 483,010 g/mL, 338,361 g/mL. The LC50 value < 1000 ppm has a toxic effect, so the kernel seed has the potential to be used as a larvicide.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.265
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

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