Natural dyeing of air plasma-treated wool fabric with Rubia tinctorum L. and prediction of dyeing properties using an artificial neural network

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dc.authorid0000-0002-6133-8617en_US
dc.authorid0000-0003-4522-2056en_US
dc.contributor.authorEyupoglu, Can
dc.contributor.authorEyupoglu, Seyda
dc.contributor.authorMerdan, Nigar
dc.contributor.authorOmerogullari Basyigit, Zeynep
dc.date.accessioned2023-11-08T09:21:14Z
dc.date.available2023-11-08T09:21:14Z
dc.date.issued2023en_US
dc.departmentFakülteler, Mimarlık ve Tasarım Fakültesi, Moda ve Tekstil Tasarımı Bölümüen_US
dc.description.abstractIn this study, the ecological dyeing process of wool fabrics was investigated. Wool fabric samples were treated with atmospheric pressure plasma-jet and corona discharge plasma to modify the surface to make the process sustainable and greener. The samples were dyed with the aqueous extract procured from the powdered roots of Rubia tinctorum L. (madder) using the ultrasonic-assisted method. Scanning electron microscopy and Fourier Transform–infrared analysis were performed to investigate the effect of plasma treatment on the physical and chemical properties of wool fibres. The effects of plasma treatment type, plasma treatment parameters and the duration of dyeing on colorimetric and fastness properties were investigated. The etching of the wool fibre surface and roughness after plasma treatment were proven with scanning electron microscopy images. The Fourier Transform–infrared spectra showed that no significant differences in the functional groups of wool fibre occurred after plasma treatment. The experimental results proved that plasma treatment parameters and dyeing time had an effect on the colorimetric and fastness properties of the samples. Furthermore, an artificial neural network model was proposed for estimating the dyeing properties of wool fabrics, namely, L, a, b, K/S, colour change, rubbing fastness (dry) and rubbing fastness (wet). The experimental results show that the proposed model achieves regression values greater than 0.97 for all dyeing properties. The proposed model is successful and can be efficiently used for estimating the dyeing characteristics of wool fabrics.en_US
dc.identifier.doi10.1111/cote.12700en_US
dc.identifier.scopus2-s2.0-85161650962en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/6949
dc.identifier.urihttps://doi.org/10.1111/cote.12700
dc.identifier.wosWOS:001004630400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Incen_US
dc.relation.ispartofColoration Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleNatural dyeing of air plasma-treated wool fabric with Rubia tinctorum L. and prediction of dyeing properties using an artificial neural networken_US
dc.typeArticleen_US

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