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Phytochemical Screening, in Vitro Antimycotic and Antioxidant Activities of Crude Extracts of Six Rwandan Medicinal Plants

2023· article· en· W4366495360 on OpenAlex
Daniel Umereweneza, Théoneste Kamizikunze, Théoneste Muhizi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDiscovery Phytomedicine - Journal of Natural Products Research and Ethnopharmacology · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsnot available
Fundersnot available
KeywordsPhytochemicalBiologyAscorbic acidDPPHTraditional medicineFusarium oxysporumBotanyMedicinal plantsLamiaceaeAspergillus flavusAntioxidantFood scienceBiochemistry

Abstract

fetched live from OpenAlex

Phytochemicals constitute reliable sources of antifungal and antioxidant compounds with low toxicity to mammals and safe to the environment which may serve as substitutes for synthetically produced chemicals. The present work aims at screening, and investigating the antimycotic and antioxidant activities of six medicinal plants, namely Croton macrostachyus (Euphorbiaceae), Clerodendrum (Rotheca) myricoides (Lamiaceae), Erucastrum arabicum (Brassicaceae), Melanthera scandens (Asteraceae), Senecio mannii (Asteraceae), and Senna didymobotrya (Fabaceae). A qualitative phytochemical screening was conducted by appropriate chemical methods. Antioxidant activity of 18 aqueous extracts has been tested by bleaching the solution of 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical. Antimycotic activity of all extracts was measured by the disc diffusion method on a potato dextrose agar plate against five fungal strains viz. Rhizopus stolonifer, Aspergillus niger, Aspergillus flavus, Aspergillus parasiticus and Fusarium oxysporum. The study revealed that the main phytochemical constituents of leaf, stem and root bark extracts were terpenoids, tannins, saponins, alkaloids. Furthermore, the results showed that leaf extracts were richer in antioxidant potentials than the rest of the plant parts tested. However, scavenging capacity of leaf extract was lower than that of the ascorbic acid for all extracts except C. macrostachyus and M. scandens which exhibited approximately the same values as ascorbic acid. The leaf extracts displayed the highest inhibition zone average for most of the fungi. The strong antimycotic activity ranged from 14 to 27 mm and was observed mainly in leaf extracts. The leaf extract of M. scandens was the strongest against F. oxysporum with 27.0 mm inhibition zone diameter. The root extract displayed the lowest average zones of inhibition such as 2.0 mm for E. arabicum extract against R. stolonifer and 3.0 mm for S. didymobotrya extract against A. niger. Antioxidant and antimycotic activities were probably attributed to the presence of different groups of phytochemicals as such as terpenoids, flavonoids, and tannins. From the results of this study, plant extracts with higher antioxidant and antimycotic activity could be further studied and eventually be used in the development of natural antioxidants and food preservatives that could replace the synthetic compounds.

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.

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)0.002
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 score0.109
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.047
GPT teacher head0.344
Teacher spread0.297 · 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