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Record W2052015328 · doi:10.1016/j.ejar.2013.01.005

In vitro: Antimicrobial potential and phytochemical screening of some egyptian aquatic plants

2012· article· en· W2052015328 on OpenAlexfundno aff
Said M. Daboor, Amany M. Haroon

Bibliographic record

VenueThe Egyptian Journal of Aquatic Research · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsnot available
FundersDalhousie University
KeywordsPistiaPhytochemicalStratiotesAntimicrobialChemistryTraditional medicineMinimum inhibitory concentrationAgar dilutionBiologyAgar diffusion testBotanyFood scienceMacrophyteAquatic plantAntibacterial activityBacteriaMicrobiology

Abstract

fetched live from OpenAlex

Ethanolic and water extracts of three macrophytes (roots); Echinochloa stagnina (Retz.) P. Beauv; Pistia stratiotes (L.) and Nymphaea lotus (L.) from El-Serw, Dakahlia, Egypt were studied to verify their antimicrobial activities against certain microbial isolates by using agar well diffusion method. Bi-fold dilution technique revealed that all the tested microorganisms showed susceptibility to moderate resistance against E. stagnina ethanolic extract, with minimum inhibitory concentrations (MICs) values varied between 78.125 and 625.00 μg/ml, while its water extract showed antimicrobial activities that were significantly reduced by almost 50% compared to the ethanolic one. On the other hand N. lotus and P. stratiotes water extracts had no activity against all tested microorganisms. The phytochemical screening revealed the presence of some biologically active substances (flavonoides, tannins, sterols and resins) with different concentrations. E. stagnina roots were shown to possess the highest polyphenols contents 3.20 ± 0.01 g/100 g dry wt., moreover some heavy ions as Fe, Mn, Zn and Cu were presist with different concentrations varied significantly (P < 0.05) with plant species and solvent used in extraction.

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)0.003
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 score0.017
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.053
GPT teacher head0.308
Teacher spread0.255 · 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

Citations29
Published2012
Admission routes1
Has abstractyes

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