Improving the Dyeing Properties of Peanut Skin Extracts to Flax Fabrics by Chitosan Pretreatment

ABSTRACT

Using chitosan as pretreatment agent, the dyeing properties of peanut skin extracts (PSE) to flax fabrics were improved. Flax fabrics have excellent comfort property and are loved by many people. However, flax is different to dye, especially with natural dye. In this research, chitosan was used to pretreat flax fabrics and PSE was used to dye the pretreated flax fabric. The optimal conditions of the chitosan pretreatment and dyeing conditions of PSE were investigated according to the K/S value of the dyed flax fabrics. Comparing the original flax fabric, the chitosan pretreated flax fabric significantly improved the absorption to PSE, and the dyed fabrics had an increased K/S value from 0.9 to 3.9, and had good color fastnesses. The main chemical constitution in PSE such as catechin, chitosan, and cellulose of flax fabrics may form hydrogen bond and ionic bond. Chitosan pretreated and dyed flax fabrics had a stronger ability to UV resistance and scavenging free radicals. The fluorescence intensity of the dyed flax fabrics was improved while it was decreased after chitosan pretreatment. Chitosan pretreatment combined PSE dyeing can be used to develop functional flax textiles without using metallic mordants.

摘要

以壳聚糖为预处理剂，改善了花生皮提取物对亚麻织物的染色性能. 亚麻织物具有优异的舒适性，受到许多人的喜爱. 然而，亚麻与染料不同，尤其是与天然染料不同. 本研究采用壳聚糖对亚麻织物进行预处理，PSE对预处理后的亚麻织物染色. 根据染色亚麻织物的K/S值，研究了壳聚糖预处理和PSE染色的最佳条件. 与原亚麻织物相比，壳聚糖预处理的亚麻织物显著提高了对PSE的吸收，染色织物的K/S值从0.9提高到3.9，具有良好的牢度. PSE中的主要化学成分如儿茶素、壳聚糖和亚麻织物的纤维素可以形成氢键和离子键. 壳聚糖预处理和染色亚麻织物具有较强的抗紫外线和清除自由基的能力. 壳聚糖预处理后亚麻织物的荧光强度有所提高，但有所降低. 壳聚糖预处理结合PSE染色可以在不使用金属媒染剂的情况下开发功能性亚麻纺织品.

KEYWORDS:

• Peanut skin extracts
• Chitosan pretreatment
• Flax fabrics
• Dyeing
• Natural dyestuff
• Functionality

关键词:

• 花生皮提取物
• 壳聚糖预处理
• 亚麻织物
• 染色
• 天然染料
• 功能

Acknowledgments

This work was supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX20_1794).

Disclosure statement

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

Author’s contribution

This work was completed by the contribution of the authors: Qianqian Liu: Methodology, Software, Writing – Original Draft. Yu Zhang: Data Curation, Formal analysis. Zixiang Ma: Resources, Validation. Yingkun Wang: Visualization; Formal analysis; Yue Tian: Data Curation; Xu Helan : Investigation; Xiuliang Hou: Supervision, Conceptualization, Methodology, Writing-Review & Editing.

Additional information

Funding

The work was supported by the Postgraduate Research - Practice Innovation Program of Jiangsu Province [KYCX_1794].