Investigation of dyeing properties of mohair fiber dyed with natural dyes obtained from Candelariella reflexa
- Author:
- Eyupoglu C., Eyupoglu S. & Merdan N.
- Year:
- 2022
- Journal:
- Journal of Natural Fibers
- Pages:
- 19(16): 12829–12848
- Url:
- https://doi.org/10.1080/15440478.2022.2076273
The current study reports on using ascorbic acid as a possible substitute for
improving fastness properties of natural dyes. In the mordanting process,
microwave energy, which is a part of the sustainable and ecological production
approach, was used. Renewable natural dye source Candelariella reflexa,
which is a genus of lichen, was obtained from the trunk of Pinus nigra. Mohair
fiber was dyed with natural dye extracted from Candelariella reflexa by using
a conventional method. Before dyeing, mohair fiber was subjected to the
premordanted process with iron (III) chloride (FeCl3) using microwave
energy. In order to determine the effect of mordanting process parameters
on dyeing properties, the mordanting process was performed with different
concentrations and durations. In the dyeing process, ascorbic acid was added
at different concentrations in the dyeing bath to improve the light fastness of
samples. After the dyeing process, spectrophotometric features, light, and
rubbing and washing fastness of samples were investigated. The color
strength, washing, light, and rubbing fastness of dyed mohair fiber improve
slightly with the premordanting process and by adding ascorbic acid. The
spectrophotometric measurement results show that color coordinates vary
from the mordanting time and amount of ascorbic acid. Furthermore, the use
of microwave energy in the mordanting process leads to saving of energy
and time. Besides, in this study, a machine learning-based model exploiting
the artificial neural network (ANN) was developed for prediction of dyeing
properties of mohair fiber dyed with natural dyes obtained from Candelariella
reflexa. Experimental data obtained through various tests were first used to
feed the proposed ANN, and then the trained ANN was validated and tested
for the aim of prediction. The study results show that the proposed model
can successfully predict most of the dyeing properties of mohair fiber.
Therefore, this model can be used as an effective tool to estimate dyeing
characteristics of mohair fiber.
- Id:
- 34895
- Submitter:
- zdenek
- Post_time:
- Wednesday, 28 December 2022 21:57