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Record W2809456592 · doi:10.6000/1927-5129.2018.14.29

Comparative Study of Antioxidant Activity of Flower of Aloe vera and Leaf Extract of Aloe ferox

2018· article· en· W2809456592 on OpenAlexvenueno aff
Shah Muhammad Haroon, Sammia Shahid, Syed Ammar Hussain, Hamid Raza

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and biological activity of medicinal plants
Canadian institutionsnot available
Fundersnot available
KeywordsAloe veraDPPHABTSAntioxidantChemistryTraditional medicineAqueous extractBotanyFood scienceBiologyBiochemistryMedicine

Abstract

fetched live from OpenAlex

Great attention has been focused on medicinal plants and phytoconstituents due to their free radicals scavenging tendency. The present study investigates the comparative antioxidant ability of aqueous extracts of flower of Aloe vera and leaf of Aloe ferox. Antioxidant activity was assessed by using the DPPH, FRAP and ABTS+ free-radical method. The IC50 values of aqueous extracts of flower of the A. vera and leaf of A. ferox in DPPH assay were 406.04 and 517.01 µg/ml, in ABTS+ radical scavenging assay were 44.72 and 173.05 µg/ml, EC1 in FRAP assay were 0.28 and 0.51 (mg/ml) respectively. Results of the present study showed that antioxidant capacity of whole leaf of Aloe ferox Mill was significantly higher than Aloe vera flowers.

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 score0.353
Threshold uncertainty score0.443

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.286
Teacher spread0.232 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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