Evidence map›Paper›PMID 40102533›Full record

ArticleScientific reports2025

Determination of optimum extract conditions and evaluation of biological activity potential of Salvia cilicica Boiss.

Oğuzhan Koçer

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Artificial Intelligence-Assisted Optimization ofFoods (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Optimizing Ultrasonic-Assisted Extraction Process ofMolecules (Basel, Switzerland) · 2025
    Article
  7. 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

1 author.

Oğuzhan KoçerDepartment of Pharmacy Services, Vocational School of Health Services, Osmaniye Korkut Ata University, Osmaniye, 80000, Türkiye. oguzhankocer@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants are important natural resources used for many purposes. They especially stand out with their medical potential. In this study, the extract conditions showing the highest biological activity were optimized using the artificial intelligence application of Salvia cilicica Boiss. Then, the biological activities of the optimized extract were determined. Response Surface Method was used for optimization. Using the Box-Behnken experimental design, antioxidant capacities of the optimized extracts were evaluated through Rel Assay TAS and TOS kits, as well as DPPH and FRAP methods. Anticholinesterase activity was assessed by measuring acetyl- and butyrylcholinesterase enzyme activities. Total phenolic content was quantified using the Folin-Ciocalteu reagent, while total flavonoid content was analyzed via the aluminum chloride assay. The antiproliferative potential was examined against the A549 lung cancer cell line, and phenolic compounds were identified using an LC-MS/MS system. Optimization results indicated that the ideal extraction parameters were 45.890 °C, 7.730 h, and a 96.431 ethanol-to-water ratio. The extract obtained under these conditions exhibited a TAS value of 7.461 ± 0.065 mmol/L, a TOS value of 5.630 ± 0.163 µmol/L, and an OSI value of 0.075 ± 0.002. Total phenolic and flavonoid contents were measured as 97.681 ± 1.076 mg/g and 113.067 ± 0.621 mg/g, respectively. The FRAP value reached 70.669 ± 0.199 mg/g, while the DPPH value was determined as 53.208 ± 0.427 mg/g. Furthermore, anti-AChE and anti-BChE activities were recorded at 12.93 ± 0.72 µg/mL and 25.87 ± 1.44 µg/mL, respectively. The extract demonstrated notable cytotoxicity against the A549 cancer cell line. Additionally, 10 distinct phenolic compounds were identified in the plant. These findings highlight the significant biological potential of S. cilicica extract obtained under optimal conditions, suggesting its potential as a valuable natural resource in pharmacological applications.

Indexed as

Antineoplastic Agents, PhytogenicAntioxidantsPlant ExtractsSalviaA549 CellsCell ProliferationCholinesterase InhibitorsFlavonoidsHumansPhenolsAntineoplastic Agents, PhytogenicAntioxidantsCholinesterase InhibitorsFlavonoidsPhenolsPlant ExtractsAntioxidantAntiproliferativeExtract optimizationMedicinal plantsSalvia

Identifiers

PMID40102533
PMCPMC11920077

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LicenceCC BY-NC-ND
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Registered trials

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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.