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Research Article

Dyeing of Linen Fabrics in Supercritical CO2 Using a Reverse Micellar System with Ionic Liquid Domains

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ABSTRACT

In order to realize the anhydrous dyeing of linen fabric with reactive dyes in supercritical CO2, a supercritical CO2 ionic liquid reverse micelle system was constructed, and the dyeing process of linen fabric in this system was studied. In this system, linen fabric can be dyed with reactive dyes without special pretreatment. The results show that the dyeing depth of linen fabric can be significantly improved by increasing the amount of surfactant. With the increase in temperature, the dyeing depth first increases and then decreases. The dyeing pressure displays little effect on the dyeing depth. After dyeing, there are a lot of floating colors on the surface of the fabric. Increasing the temperature and prolonging the dyeing time are conducive to dye fixation on the fabric. Adding a certain amount of dimethyl sulfoxide (DMSO) to the system can improve the dyeing performance significantly. In this paper, the best dyeing conditions of linen fabric are as follows: w, 1.2; surfactant conc. 3.5 × 10−2 g/mL; T, 90°C; t, 180 min; p, 21MPa; DMSO concentration, 76.8 mmol/L.

摘要

为了实现活性染料在超临界CO2中对亚麻织物的无水染色,构建了超临界CO2离子液体反胶束体系,并对该体系中亚麻织物染色工艺进行了研究. 在这个系统中,亚麻织物可以用活性染料染色,而无需特殊的预处理. 结果表明,增加表面活性剂的用量可以显著提高亚麻织物的染色深度. 随着温度的升高,染色深度先增大后减小. 染色压力对染色深度影响不大. 染色后,织物表面有许多漂浮的颜色. 提高染色温度和延长染色时间有利于染料在织物上的固色. 在体系中加入一定量的二甲基亚砜(DMSO)可以显著提高染色性能.本文确定了亚麻织物的最佳染色条件为: w,1.2; 表面活性剂浓度, 3.5 × 10-2克/毫升; T、 90摄氏度; t、 180分钟; p、 21MPa; 二甲基亚砜浓度76.8 mmol/L.

Highlights

  • We studied the dyeing depth and fixation of unmodified flax fabric in supercritical CO2/ionic liquid reverse micelle system.

  • The effects of surfactant concentration, dye dosage, dyeing temperature, and pressure on the dyeing depth and fixation of flax fabric were investigated.

  • Due to the addition of DMSO to the system, the viscosity of ionic liquid was reduced, the dye diffusion speed on the fabric was increased, and the dye fixation degree was improved.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was financial supported by the National Natural Science Foundation of China (21908015), Basic Scientific Research Project of Higher Education Department of Liaoning Province (J202152), Liaoning Province Applied Basic Research Project (20230101), The Seventh Batch “Hundred People Plan” of Talent Introduction in Fujian Province and Fujian Provincial Regional Development Project (2022H4015), Dalian High-level Talent Innovation Support Project (2020RQ019), Dalian Key Research and Development Program (2022YF12G×057), Dalian Science and Technology Innovation Fund Project (2022JJ12SN055) as well as Dalian Science and Technology Innovation Fund Project (2022J12G×045).