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Record W4376632047 · doi:10.56588/iabcd.v2i1.178

EVALUATION OF ANTIOXIDANT POTENTIAL AND PHYTOCHEMICAL CHARACTERISATION OF PEEL EXTRACTS OF LUFFA ACUTANGULA AND LUFFA CYLINDRICA

2023· article· en· W4376632047 on OpenAlexaff
Smit Bhavsar, Nainesh Modi, Mukeshkumar Thakor

Bibliographic record

VenueInternational Association of Biologicals and Computational Digest · 2023
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsImpact
Fundersnot available
KeywordsPhytochemicalGallic acidPhenolsPhytochemistryTraditional medicineQuercetinFlavonoidPolyphenolAntioxidantChemistryMedicinal plantsCucurbitaceaeBotanyBiologyFood scienceBiochemistryMedicine

Abstract

fetched live from OpenAlex

Luffa acutangula and Luffa cylindrica are popular vines belonging to the Cucurbitaceae family. They are extensively used as vegetables across the globe. Cucurbitaceae plants have played a major role in Indian medicinal systems and ethnopharmacology. Various plant parts have pharmacological properties viz. antioxidant, antiinflammation, antidiarrheal, anticancer, antiulcer and so on. These properties are due to phytochemicals present in the plants. Phytochemistry is the study of plant chemicals, particularly secondary metabolites. These metabolites are typically produced as a self-defence mechanism against insects, pests, pathogens, herbivores, ultraviolet exposure, and environmental hazards. The present study is aimed to identify and quantify certain phytochemicals which are known to be responsible for bioactivities. Peels are generally thrown away in culinary practice, but they are highly rich in phytochemicals. Peels of both plants have taken for the study and qualitative analysis of phytochemicals such as alkaloids, phenols, flavonoids, sterols, tannins, saponins, etc. were carried out. Plant extracts of different solvents were compared for antioxidant potential as well as total phenols and total flavonoids. Quantification of phenols and flavonoids was carried out as they are reported to have antioxidant potential. FRAP assay was performed to check the capacity of plant extract to scavenge free radicals. The correlation of phenols and flavonoids was carried out with antioxidant results to establish the fact. The plant extracts' total phenolic content was 66-357 mg gallic acid equivalent. The highest flavonoid content was found in methanol extracts of L. acutangula and L. cylindrica with values of 133.450 and 126.132 mg quercetin equivalent. FRAP assay concluded that methanol extracts of both plants have highest reducing power. TPC and TFC have shown strong positive correlation with FRAP assay. The phytochemicals and antioxidant potential of L. acutangula and L. cylindrica state that they possess valuable nutraceuticals. The pharmacological potential of the plants should be explored to maximum potential.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.301
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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