99—the Adsorption of Non-Ionic Dyes by Wool

Bird, C. L.; Firth, Joan M.

doi:10.1080/19447026008662568

Cited by 18 publications

(6 citation statements)

References 10 publications

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“…The colourimetric CIE L*a*b* C*h° data of the un-dyed (Blank) and dyed wool, polyester and wool/polyester blend fabrics using both dyes 1 and 2 are shown in Table ( 1). It can be seen that the chroma (C*) and hue (h°) values of the dyed wool, polyester and wool/polyester blend fabrics using dye 2 are approximately similar.…”

Section: Colorimetric and Fastness Propertiesmentioning

confidence: 89%

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Union Dyeing of Wool/Polyester Blend Fabric Using a Sulphatoethylsulphone Dye Analogue of C.I. Disperse Yellow 16

Mousa

Mohammed

Farouk

et al. 2011

Al-Azhar Bulletin of Science

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Dyeing of wool, polyester and wool/polyester blend fabrics with a sulphatoethylsuphone dye analogue of the commercial C. I. Disperse Yellow 16 were investigated. Maximum exhaustion values and colour yield were observed using the modified disperse dye at pH 7. The result showed that the modified disperse dye was more convenient for union dyeing of wool/polyester blend fabric compared with the commercial disperse dye. Excellent to very good wet fastness properties on all dyed fabrics were achieved using the modified disperse dye if compared with the commercial disperse dye.

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Section: Colorimetric and Fastness Propertiesmentioning

confidence: 89%

“…Polyester fabric is commercially dyed with disperse dyes. However disperse dyes are not commercially used to dye wool since the hydrophobic, sparingly water-soluble dyes display low substantivity towards wool and yield pale dyeings of low wet fastness properties [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Union Dyeing of Wool/Polyester Blend Fabric Using a Sulphatoethylsulphone Dye Analogue of C.I. Disperse Yellow 16

Mousa

Mohammed

Farouk

et al. 2011

Al-Azhar Bulletin of Science

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“…Disperse dyes are not used commercially on wool because the low affinity means that only pale shades can be obtained and the fastness to washing (wash fastness) is low . It is desirable to be able to apply disperse dyes to wool for several reasons.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the wash fastness of disperse dyes on wool with oxidants

McNeil

Zaitseva

2020

Coloration Technology

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Disperse dyes are not currently applied to wool commercially, in large part because of inadequate wash fastness, but they do have potential, especially for wool-polyester blends. In this study, for the first time hydrogen peroxide was investigated to increase the wash fastness of disperse dyes on wool. In the absence of oxidants, 10 disperse dyes from seven classes imparted colours with a range of depths (K/S 2-26) with wash fastness (grey scale ratings for colour change) grades of 3 to 4-5. Hydrogen peroxide had only small effects on colours and gave only small enhancements to wash fastness, which were limited to anthraquinone, nitrodiphenylamine, disazo and coumarin dyes. The bleach activators Prestogen W and citric acid enhanced the bleaching effect of hydrogen peroxide but did not assist with raising wash fastness.Hydrogen peroxide in post-dyeing scouring made the dyeings brighter but did not significantly enhance wash fastness. Ammonium persulphate, which was included for benchmarking with earlier studies, yellowed the wool and decomposed some dyes. This study extends the range of dye classes whose wash fastness on wool can be improved by ammonium persulphate to now include diazo, coumarin and methine, and confirms that oxidants/free radical initiators have potential for enabling the disperse dyeing of wool.All dyeings were performed in a Turbomat dyeing machine (Ahiba) with a 30:1 liquor-to-wool ratio and 600 mL SUPPORTING INFORMATIONAdditional supporting information may be found online in the Supporting Information section. How to cite this article:McNeil SJ, Zaitseva LI. Enhancing the wash fastness of disperse dyes on wool with oxidants. Coloration Technol. 2020;136:231-243. https ://doi.

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“…Thermodynamics and kinetics of dyeing have been extensively studied by many researchers (indicatively1–10). There are also references on the dyeing characteristics of both natural11–14 and synthetic fibers 15–22. The dyeing behavior of polyester fibers modified23 or not was also studied in the presence of a carrier or at high temperature, both with single disperse dyes24–31 or combinations32–34 of dyes.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of water treatment plant under uncertainty using genetic algorithm

Gupta¹,

Shrivastava²

2008

Environ. Prog.

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An approach that links genetic algorithm (GA) as an optimization tool with Monte Carlo simulation (MCS)-based reliability program is presented for reliability-constrained optimal design of water treatment plant (WTP). The reliability of a WTP is defined as its ability to produce water of desired effluent water quality standard. The objective function minimizes the treatment cost subjected to reliability constraint, design constraints, and performance constraints. The random variables used to generate the reliability estimates are suspended solid concentration, viscosity of water, specific gravity of floc particle, sedimentation basin performance index, velocity gradient, and flow rate. The application of GA-MCS approach for design of a WTP is illustrated with a hypothetical case study. The application shows that the reliability of achieving desired water quality standard is affected by the uncertainty of system parameters. The suggested GA-MCS approach is efficient to evaluate treatment cost-reliability tradeoff in design of WTP.

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99—the Adsorption of Non-Ionic Dyes by Wool

Cited by 18 publications

References 10 publications

Union Dyeing of Wool/Polyester Blend Fabric Using a Sulphatoethylsulphone Dye Analogue of C.I. Disperse Yellow 16

Union Dyeing of Wool/Polyester Blend Fabric Using a Sulphatoethylsulphone Dye Analogue of C.I. Disperse Yellow 16

Enhancing the wash fastness of disperse dyes on wool with oxidants

Optimal design of water treatment plant under uncertainty using genetic algorithm

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