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Environmentally friendly dyeing of wool yarns using of combination of bio‐mordants and natural dyes

doi: 10.1002/ep.13868
AbstractToday, the issue of reducing industrial pollution has received much attention. The textile industry is of high important throughout the world. However, its by‐product wastewater pollutes the environment. The first approach was the selection of plant‐based dyes (madder and reseda) and the application of tannin‐based mordants (pomegranate peel and myrobalan). The extraction of madder, reseda, and pomegranate peel in water with the ultrasound‐assisted method was done. In this article, pre‐mordanting method was used for mordanting and Cu (copper) and alum were selected as the mineral mordant to compare the results. Fourier Transform Infrared Spectroscopy method was employed to analyze the obtained extracts and to investigate the changes in the fibers. The results showed that K/S (color strength) values of the dyed samples increased by increasing the dye concentration. The colorfastness properties of the samples were investigated according the ISO standards.
- Kharazmi University Iran (Islamic Republic of)
- Institute for Color Science and Technology Iran (Islamic Republic of)
- Tehran University of Art Iran (Islamic Republic of)
- Kharazmi University Iran (Islamic Republic of)
- Institute for Color Science and Technology Iran (Islamic Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).18 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
