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Total Phenolic Content and Antioxidant Activity of Two Teucrium Species from Syria

2020· article· en· W3205179012 on OpenAlexvenueno aff
Reem Ghassan Alali, Mays Khazem

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsnot available
FundersDamascus University
KeywordsTeucriumDPPHPolyphenolChemistryLamiaceaeAntioxidantFood sciencePhenolsTraditional medicinePreservativeBotanyOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Germander (Teucrium, Lamiaceae) is a genus commonly used as a medicinal herb in the middle east. The aim of this study was to estimate total polyphenols and antioxidant activity of different extracts from two Syrian Teucrium species (Teucrium polium and Teucrium creticum). Total polyphenols content was measured using Folin-Ciocalteu assay and the antioxidant activity was evaluated in vitro by DPPH assay (free radical scavenging activity against 1, 1 –diphenyl-2-picrylhydrazyl). The total polyphenols content and antioxidant activity of T. creticum extracts were higher than T. polium ones. Phenols contents ranged from 16.388 to 105.672 mg GA E/ g dry weight extract. The extracts showed significant scavenging activity against DPPH, with IC50 values ranging between 0.195 and 0.710 mg/ml. The methanolic extracts show higher antioxidant activity from the two species. A good correlation between DPPH scavenging activities and contents of polyphenols was found. These results show that Syrian Teucrium species, especially T. creticum least Known among all, is a rich source of phenols and natural antioxidant compounds, that can be used as a natural food preservative.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.139

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.130
GPT teacher head0.299
Teacher spread0.169 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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