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Estimation of secondary metabolites, antioxidant potential and RP-HPLC analysis of Typha angustifolia

2025· article· en· W4411532566 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedicinal Plants - International Journal of Phytomedicines and Related Industries · 2025
Typearticle
Languageen
FieldChemistry
TopicCoconut Research and Applications
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsTypha angustifoliaTyphaHigh-performance liquid chromatographyAntioxidantChemistryBotanyChromatographyBiologyEcologyOrganic chemistryWetland

Abstract

fetched live from OpenAlex

Typha angustifolia is a perennial aquatic weed of the Typhaceae family commonly found in soggy locations and used to treat kidney stones, diarrhoea, tapeworm infection, and abnormal uterine bleeding. This study quantified the aqueous and methanolic leaf extracts of plants for primary and secondary metabolites. The RP-HPLC method was developed for naringin estimation, and antioxidative potential was assessed using DPPH, FRAP, hydrogen peroxide, and phospho-molybdenum free radical scavenging activity. The phytochemical analysis revealed the presence of alkaloids, amino acids, carbohydrates, flavonoids, proteins, tannins, and total polyphenolics to a significant extent. The methanolic leaf extracts showed higher amounts of total phenols and flavonoids. The species in-vitro antioxidant potential, clearly demonstrated that the methanolic extract shows prominent antioxidant properties. The RP-HPLC method revealed the substantial presence of naringin. This study suggested that species may be an effectual antioxidant with significant potential. The RP-HPLC technique designed to quantify naringin was reliable, accurate, repeatable, and specific.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.286
Teacher spread0.279 · 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