Evidence map›Paper›PMID 40678329›Full record

ArticleFood science & nutrition2025

Optimization of Ethanol Extraction Conditions From Sun-Dried Apricot and Prediction of Antioxidant, Phenolic, and Flavonoid Contents and Their Effects on HCT116 Cells Using Artificial Neural Networks.

Kübra Cinar Topcu, Sara Altun Güven, Özlem Cakir, Pınar Anlar, Melekber Sulusoglu Durul, Mizgin Ay, Mohammed Alyafei, Faisal Hayat, Sezai Ercisli

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Kübra Cinar TopcuAydıntepe Vocational School, Department of Food Processing Bayburt University Bayburt Turkey.ORCID https://orcid.org/0000-0002-3715-8739
Sara Altun GüvenFaculty of Engineering, Department of Computer Engineering Tarsus University Mersin Turkey.
Özlem CakirFaculty of Engineering, Department of Food Engineering Bayburt University Bayburt Turkey.
Pınar AnlarVocational College of Technical Sciences, Department of Food Processing Atatürk University Erzurum Turkey.ORCID https://orcid.org/0000-0001-9832-553X
Melekber Sulusoglu DurulAgricultural Faculty, Department of Horticulture Kocaeli University Kocaeli Turkey.
Mizgin AyAgricultural Faculty, Department of Horticulture Harran University Sanliurfa Turkey.
Mohammed AlyafeiDepartment of Integrative Agriculture, College of Agriculture and Veterinary Medicine United Arab Emirates University Al Ain UAE.
Faisal HayatDepartment of Integrative Agriculture, College of Agriculture and Veterinary Medicine United Arab Emirates University Al Ain UAE.ORCID https://orcid.org/0000-0001-8762-9693
Sezai ErcisliAgricultural Faculty, Department of Horticulture Atatürk University Erzurum Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to optimize the ethanol extraction conditions of sun-dried apricot (

Indexed as

ANNantioxidant activityHCT116phenolic compoundsRSMsun‐dried apricot

Identifiers

PMID40678329
PMCPMC12268793

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.