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近红外光谱技术已经有效应用于表征原材料和经过后整理的纺织产品.基于相对简单的近红外光易识别的化学基团(如:C—H,O—H和N—H),该技术已发展成为聚合物产品最重要的表征方法之一.通过近红外光谱分析定量化表征历史纺织品“Curtain Dress”中的棉纤维素纤维降解程度,研究同一棉纺织产品中引起诸如颜色等不同外观变化的纤维结构形态和大分子结构变化机理.利用Brimrose Luminar5030近红外分析仪测试获得了“Curtain Dress”包括上身和裙子的8处不同程度褪色区域的近红外光谱,根据近红外光谱吸收峰识别了棉纤维素纤维的典型官能团C—H、C—O和O—H等.并通过主元分析法(PCA,Principle component analysis)分析了不同褪色区域的功能基团振动变化.研究发现第一和第二主成分的因子综合得分F很好地解释了分子中各组成键原子高达99.09%的振动变化程度,有效地反映了在褪色过程中纤维结构与形态变化机理.
Near-infrared spectroscopy has been used effectively in the characterization of raw materials and after-finishing textile products based on readily identifiable chemical groups of near-infrared light such as C-H, O-H and N-H Developed into one of the most important characterization methods of polymer products.Through the quantitative characterization of the degree of degradation of cotton fiber in the historical textile “Curtain Dress” by near infrared spectroscopy, the appearance of different appearance in the same cotton textile product, such as color, The change of the fiber structure and macromolecular structure change mechanism.By using the Brimrose Luminar 5030 near infrared analyzer to test the “Curtain Dress” including the upper body and the skirt of the eight different degrees of fading region near infrared spectroscopy, according to near infrared absorption peak The typical functional groups C-H, C-O and O-H of cotton cellulose fibers were identified, and the vibrational changes of functional groups in different fading regions were analyzed by principal component analysis (PCA) The first and second principal components of the factor score F is a good explanation for the molecular bond components of up to 99.09% of the degree of vibration changes effectively reflect the fading Fiber structure and morphological changes in the process.