Evidence map›Paper›PMID 39346966›Full record

ArticleAdvances in pharmacological and pharmaceutical sciences2024

Comparative Study of Alcoholic Extracts of Different Syrian Grapevine and Olive Leaf Cultivars for Their Antioxidant Activity and Photoprotective Effects.

Farah Alhakim, Antoun Laham, Jameela Hasian

Abstract read
In one paragraph

Article in Advances in pharmacological and pharmaceutical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Farah AlhakimDepartment of Pharmaceutics Faculty of Pharmacy Damascus University, Damascus, Syria.ORCID https://orcid.org/0009-0009-3239-9961
Antoun LahamDepartment of Pharmaceutics Faculty of Pharmacy Damascus University, Damascus, Syria.
Jameela HasianDepartment of Pharmaceutics Faculty of Pharmacy Damascus University, Damascus, Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A safer alternative made of plant extracts is needed, as evidenced by the negative effects of using synthetic sunscreen. Antioxidant properties of plants with high phenolic content have been reported. The goal of this research was to ascertain the phenolic content and antioxidant characteristics of ethanolic extracts made from grape and olive leaves under various extraction settings. The extracts were subjected to both qualitative and quantitative analyses using HPLC. Soxhlet extraction with 80% ethanol (v/v) as the solvent produced a result that was satisfactory. Four components of grape leaf extract and one component of olive leaf extract were identified. Expressed as gallic acid equivalents (GAEs), the total phenolic content (TPC) of the samples, as determined by using the Folin-Ciocalteu's reagent, ranged from 38.39 to 72.78 mg/g dry extract of olive and 65.918-132.7 mg/g dry extract of grape. An ethanolic extract of Salmoni (grape leaves) had the highest TPC (132 mg GAE/g), while an ethanolic extract of Zaity (olive leaves) had the lowest (72.66 ± 0.46 GAE/g). The Folin-Ciocalteu method proved the existence of antioxidants in the plant. By scavenging free radicals such as DPPH (2,2-diphenyl-1-picrylhydrazyl), the antioxidant capacity of the plant extracts was determined. Next, the ethanolic extracts of various cultivars of grape and olive leaves were analyzed to determine their sun protection factor (SPF) value. It was 28.8 and 29.96 for grape leaf extract and olive leaf extract, respectively.

Identifiers

PMID39346966
PMCPMC11436274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.