基于近红外光谱法鉴别不同麻类纤维  

Identification of various bast fibers based on near infrared spectroscopy

作　　者：黄晶[1,3] 郁崇文 HUANG Jing;YU Chongwen(College of Textiles,Donghua University,Shanghai 201620,China;Key Laboratory of Textile Science&Technology,Ministry of Education,Donghua University,Shanghai 201620,China;Innovation Center for Textile Science and Technology,Donghua University,Shanghai 201620,China)

机构地区：[1]东华大学纺织学院,上海201620 [2]东华大学纺织面料技术教育部重点实验室,上海201620 [3]东华大学纺织科技创新中心,上海201620

出　　处：《上海纺织科技》2021年第1期49-51,60,共4页Shanghai Textile Science & Technology

摘　　要：各麻类纤维的外观形态和化学性能相似,为鉴别不同麻类纤维,基于傅里叶变换近红外光谱分析方法,采用主成分分析结合SIMCA模式识别方法,对苎麻、亚麻、大麻、黄麻、红麻、罗布麻6种纤维进行鉴别。结果表明:6种纤维经平滑及基线校正光谱预处理,构建主成分因子为3的分析模型,结合SIMCA模式识别方法,所有纤维的识别率和拒绝率达到100%,成功实现纤维鉴别。为不同麻类纤维鉴别提供了简便、无损、快速、准确的鉴定方法。The appearance morphology and chemical properties of bast fibers are similar.In order to identify various bast fibers,principal component analysis and SIMCA pattern recognition method are used based on Fourier transform near-infrared spectroscopy to identify ramie,flax,hemp,jute,kenaf and apocynumvenetum.The results show that the six fibers are pretreated with smoothing and baseline,the analytical model with principal component factor 3 is constructed,and the identification rate and rejection rate of all fibers reach 100%by combining SIMCA pattern recognition method.It could provide a simple,nondestructive,rapid and accurate identification method for the identification of bast fibers.

关 键 词：麻纤维 测试 近红外光谱 主成分分析 SIMCA模式识别 

分 类 号：TS101.92[轻工技术与工程—纺织工程] TS102.22[轻工技术与工程—纺织科学与工程]