The Physical Chemistry of Dyeing

Jones, Frank

doi:10.1111/j.1478-4408.1973.tb00205.x

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…( 1 ) is employed to determine the concentration of dye in solution and/or solid phase, i.e. fibers 13 – 16 . where is the monochromatic radiant power transmitted by the absorbing medium, shows the monochromatic radiant power incident on the medium, is the internal transmittance which is equal to , and c demonstrate the molar absorption coefficient and the dye concentration, respectively, and finally, b and A respectively show the absorption path length and the absorbance.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of dye concentration by using Kubelka–Munk and Allen–Goldfinger reflective models: comparing the performance

Safi

Amirshahi

2023

Sci Rep

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If the relationship between the reflectance function (K/S) and dye concentration (C) is known, the color of the dyed textile (R∞) and C could be predicted from each other. In the present work, the concentration value estimated from the reflectance data using two reflective models, i.e. the Kubelka–Munk and the Allen–Goldfinger is compared. First, the Allen–Goldfinger model was run by using the absorption coefficient of dyes in fiber, i.e. the unit k/s values instead of that in the solution. The results showed that the replacement of the unit k/s for the Beer–Lambert absorption coefficient in the Allen–Goldfinger model causes lower error in the prediction of the spectral reflectance factor as well as the dye concentration. However, this model did not lead to better results. Then, an inverse form was used to estimate the concentration of dyes from the corresponding spectral reflectance. Consequently, it was observed that the Kubelka–Munk model is still a more reliable method while benefiting from more simplicity than the Allen–Goldfinger model. The analysis of errors showed that the results deeply depend on different factors such as the applied concentration range as well as the dye spectral adsorption behavior.

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Section: Introductionmentioning

confidence: 99%

“…Both dissolvings of fibers and extraction of dye are possible when the dyes in the fibers are aimed. Hence, it is interesting to develop an alternative method to determine the dye concentration, especially in the solid phase from easier methods 9 , 16 .…”

Section: Introductionmentioning

confidence: 99%

Estimation of dye concentration by using Kubelka–Munk and Allen–Goldfinger reflective models: comparing the performance

Safi

Amirshahi

2023

Sci Rep

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“…Advances in dyeing theory in general, including those relevant to polyester fibre dyeing using disperse dyes. 42,43 These reviews collectively provide a substantial collection of comprehensive, at-the-time, state-of-the-art narratives of some or other aspect of the disperse dye/PET fibre and disperse dye/carrier/PET fibre systems and, therefore, comprise a substantial compendium of undoubtedly useful and knowledgeable articles. However, none relate the fundamental properties and characteristics of polyester fibres to those of disperse dyes in either a specific or comprehensive manner, which is a necessary prerequisite in trying to understand the physico-chemical aspects of the aqueous disperse dye/PET fibre and disperse dye/carrier/PET fibre systems, as these, in turn, are responsible for the unique exhaust dyeing processes employed to dye polyester fibres using disperse dyes.…”

Section: Introductionmentioning

confidence: 99%

“…General discussions of synthetic fibre dyeing 29 and dyeing processes of relevance to the disperse dye/PET system, 30–37 including aspects related to energy usage 38,39 and effluent treatment 40,41 Advances in dyeing theory in general, including those relevant to polyester fibre dyeing using disperse dyes 42,43 …”

Section: Introductionmentioning

confidence: 99%

The roles of elevated temperature and carriers in the dyeing of polyester fibres using disperse dyes: Part 1 fundamental aspects

Burkinshaw

2023

Coloration Technology

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This review concerns the application of disperse dyes to poly(ethylene terephthalate) fibres using aqueous immersion dyeing processes and the roles of both elevated dyeing temperatures and carriers in such dyeing systems. This part of the paper presents a review of the fundamental properties and characteristics of poly(ethylene terephthalate) fibres, disperse dyes and dyeing accelerants. In the next part of the paper, the various theories and concepts which have been proposed to explain the promotional effects imparted by elevated dyeing temperatures and carriers to disperse dye uptake on PET and other types of fibre, are reviewed and analysed, from the viewpoints of the essential physico‐chemical aspects of both the aqueous disperse dye/PET and disperse dye/carrier/PET systems. The final part of the paper will present a dual‐mode mechanistic model of the disperse dye adsorption process which can be used to account for the promotional effects imparted by both elevated dyeing temperatures and dyeing accelerants on disperse dye uptake.This article is protected by copyright. All rights reserved.

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“…Usually, the well-known Beer-Lambert law shown in Equation 1 is employed to determine the concentration of dye in solution and/or solid phase, i.e. fibers [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Dye Concentration by using Kubelka-Munk and Allen-Goldfinger Reflective Models: Comparing the performance

Safi

Amirshahi

2022

Preprint

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The problem of primary interest in quantitative analysis of a dye bath or a dyed sample of textile is to determine the concentration with a minimum percentage error. The present study describes the applicability of two reflective models i.e. the Kubelka-Munk and the Allen-Goldfinger here called Geometry, to estimate the concentration of dye from the reflectance data. The performance of the Geometry model in predicting the spectral reflectance factor of dyed polyamide fibers is evaluated by the determination of the unit k/s and the Beer-Lambert absorption extinction coefficient. To examine the models, a reflectance dataset is created by dyeing nylon 6 fabrics with four different acid dyes. The results show that the replacement of the unit k/s for the Beer-Lambert absorption coefficient in the Geometry model causes lower error in the prediction of the spectral reflectance factor. However, it is shown that this model, does not lead to better results. Consequently, the Kubelka-Munk model is still found as the most reliable method while benefiting from more simplicity in comparison to the Geometry model. The analysis of errors shows that the results deeply depend on different factors such as the range of applied concentrations as well as the spectral adsorption behaviors of dyes.

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The Physical Chemistry of Dyeing

Cited by 10 publications

References 10 publications

Estimation of dye concentration by using Kubelka–Munk and Allen–Goldfinger reflective models: comparing the performance

Estimation of dye concentration by using Kubelka–Munk and Allen–Goldfinger reflective models: comparing the performance

The roles of elevated temperature and carriers in the dyeing of polyester fibres using disperse dyes: Part 1 fundamental aspects

Estimation of Dye Concentration by using Kubelka-Munk and Allen-Goldfinger Reflective Models: Comparing the performance

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