纺织纤维及其制品非破坏性快速鉴别的研究  

Study of Nondestructive and Fast Identification of Fabric Fibers Using Near Infrared Spectroscopy

作　　者：袁洪福[1] 常瑞学[1] 田玲玲[2] 宋春风[1] 袁学芹[1] 李效玉[1] 

机构地区：[1]北京化工大学材料科学与工程学院,北京100029 [2]北京市纺织纤维检验所,北京100025

出　　处：《光谱学与光谱分析》2010年第5期1229-1233,共5页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(50703002)资助;国家自然科学基金委员会对该项目的资金支持

摘　　要：纺织纤维的快速鉴别对我国纺织品生产过程质量控制、贸易和市场监督具有重要实际意义。文章收集了的12种纺织纤维共214个样品,研究了各种形态样品的近红外光谱测量方法。采用多元光散射校正方法消除噪声和基线漂移对光谱的影响。对样品总集光谱进行系统树分析,发现组成接近的纤维样本能均够聚类在一起,有些不同种类纤维之间有交叠。结合近红外光谱和簇类的独立软模式方法(SIMCA),可以实现化学组成非常接近的不同纤维种类的区分。该研究结果表明,采用近红外分析技术,实现非破坏性地快速鉴别纺织纤维是可行的。A fast and nondestructive identification method to distinguish different types of fabric fibers is proposed in the present paper. A total of 214 fabric fiber samples,including wool,cashmere,terylene,polyamide,polyurethane,silk,flax,linen,cotton,viscose,cotton-flax blending,terylene-cotton blending,and wool-cashmere blending,were collected from Beijing Textile Fibre Inspection Institute. They contain yarns,raw wool or cashmere,and various fabric straps with different colors and different braid patterns. Sample presentation for measuring near infrared spectra of various textile fibers was tried to reduce the impact from the ununiformity of polymorphous fabric structure. Spectral data were pretreated using multiplicative signal correction （MSC） to reduce the influence of spectral noise and baseline shift. Classification of 12 kinds of fabric fibers in various braid patterns was studied using minimum spanning tree method and soft independent modeling of class analogy （SIMCA） classification based on principal component analysis of NIR spectra. The minimum spanning tree for the spectra of total samples shows that the samples in the same type fall almost into one cluster,but there are overlaps between some two different clusters of fabric fibers with very similar chemical compositions,such as wool and cashmere. Complete discrimination between cashmere and wool has been achieved using SIMCA. The results show that nondestructive and fast identification of fabric fibers using near infrared spectral technique is potentially feasible.

关 键 词：纺织品 纺织纤维 近红外光谱 聚类 鉴别 SIMCA 

分 类 号：O657.3[理学—分析化学]