Evidence map›Paper›PMID 40246957›Full record

ArticleScientific reports2025

Optimizing the eco-friendly dyeing of wool and nylon fabrics with Prangos ferulacea (L.) Lindl using artificial intelligence.

Shiva Shokrzadeh, Milad Razbin, Fatemeh Shahmoradi Ghaheh, Majid Tehrani, Mehdi Sadrjahani

Abstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Shiva Shokrzadeh *Department of Textile Engineering, Faculty of Chemical Engineering and Advanced Materials, Urmia University of Technology, Urmia, Iran.
Milad Razbin *School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW, 2006, Australia.
Fatemeh Shahmoradi GhahehDepartment of Textile Engineering, Faculty of Chemical Engineering and Advanced Materials, Urmia University of Technology, Urmia, Iran.
Majid TehraniDepartment of Art, Shahrekord University, Shahrekord, Iran.
Mehdi SadrjahaniDepartment of Textile Engineering, Faculty of Chemical Engineering and Advanced Materials, Urmia University of Technology, Urmia, Iran. mehdisadr@uut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eco-friendly dyes provide a sustainable alternative by reducing environmental pollution, enhancing biodegradability, and ensuring safer textile processing. This study optimized the dyeing process for wool, a renewable and biodegradable fiber, and nylon, a durable synthetic fiber, using Prangos ferulacea (L.) Lindl., an environmentally friendly natural dye. Response surface methodology (RSM) was employed to design experiments based on dye concentration, time, pH, and temperature, while artificial neural networks were used for modeling, demonstrating superior predictive accuracy over RSM (minimum R

Indexed as

Artificial neural networkEco-friendly dyeGenetic algorithmNylon fabricWool fabric

Identifiers

PMID40246957
PMCPMC12006659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.