安徽农业科学2016，Vol.44Issue(19)：98-101,4.
响应面法优化核桃青皮色素棉织物染色工艺
Application of Response Surface Methodology in Optimization of Cotton Fabric Dyeing Process for Pigments from Walnut Green Husks
摘要
Abstract
Objective] To widely develop natural dyes with health care function and select pigments of walnut green husks as dyeing for cotton fabric.[ Method] Based on preliminary experiments, thermal stability of dye solution concentration from walnut green husk was analyzed by ultraviolet scanning spectrum, dyeing process of cotton fabric at different test conditions of dyeing solution, alkali ( NaHCO3 ) concentration, temperature, and time was further optimized on the basis of unstained cotton fabric as the control and the total color difference as total index by response surface methodology (RSM).Finally, the morphology difference of unstained and stained cotton fabric was compared by SEM ima-ges.[ Result] Dye concentration of walnut green husk had good thermal stability at 100 ℃;model optimum dyeing conditions were as follows:dyeing solution concentration was 70 mg/mL, NaHCO3 concentration was 3.91%, time was 102 min, temperature was 100 ℃.Under the a-bove conditions,△E value was 35.292.Alkali concentration was the most significant factor influencing △E value, while dyeing solution con-centration and alkali concentration had extremely significant (P<0.01)interaction on△E value;SEM images indicated there is no change in morphology of stained cotton fabric;because of complexing effect of mordant, the color fastness of cotton fabric by mordant dyeing is generally 1 to 2 level higher than that by direct dyeing.The fastness of fabric all reached grade 4.[ Conclusion] Response surface methodology can ef-fectively optimize the cotton fabric dyeing process of pigments from walnut green husks.关键词
核桃青皮/棉织物/响应面设计/稳定性/染色工艺/电镜图Key words
Pigments of walnut green husks/Cotton fabric/Response surface design/Stability/Dyeing process/SEM images分类
轻工纺织引用本文复制引用
程茹,严成,何微,唐周刚,唐玲玲..响应面法优化核桃青皮色素棉织物染色工艺[J].安徽农业科学,2016,44(19):98-101,4.基金项目
四川省科技创新苗子工程资助项目（2016088）。 （）
