纺织学报 ›› 2018, Vol. 39 ›› Issue (07): 63-68.doi: 10.13475/j.fzxb.20171006706

• 纺织工程 • 上一篇    下一篇

废旧聚酯纤维制品近红外定量分析模型的建立及验证

  

  • 收稿日期:2017-10-20 修回日期:2018-04-23 出版日期:2018-07-15 发布日期:2018-07-16

Model establishment and validation of waste polyester fiber products based on near infrared quantitative analysis

  • Received:2017-10-20 Revised:2018-04-23 Online:2018-07-15 Published:2018-07-16

摘要:

为解决废旧纺织品回收利用中纯聚酯的分拣问题,以聚酯、棉、锦纶、羊毛、聚酯/ 棉混纺、聚酯/ 锦纶混纺、聚酯/ 羊毛混纺织物共计276 个样品为研究对象,利用近红外光谱仪获取样本的原始近红外光谱图,通过化学计量学软件CM-2000 对样本原始近红外光谱图进行预处理,并用偏最小二乘法作为校正方法建立废旧聚酯纤维制品近红外定量分析模型。所建模型的校正集相关系数为0.994,验证集相关系数为0.989,校正标准偏差为1.832,验证标准偏差为2.065,内部预测正确率为90.58%。用未参与建模的173 个样本(7 种织物)对模型进行外部验证,验证正确率为88.44%,而对纯聚酯样本的外部预测正确率可达96%。结果表明,该模型可以较准确地将纯聚酯织物从废旧纺织品中鉴别出来。

关键词: 聚酯纤维, 废旧纺织品, 近红外定量分析, 纤维鉴别

Abstract:

In order to solve the sorting peoblem of pure polyester from the waste textiles, a total of 276 sample including pure polyester textile, pure cotton textile, pure nylon textile, pure wool textile, polyester/cotton textile, polyester/nylon textile and polyester/wool textile were studied. The composition of fabric was determined by Fourier transform mid-infrared spectrometer, and the accurate content of each component was measured by national standard method. Then the original infrared spectroscopy (NFRS) spectra of the samples were acquired. The original NIRS of samples was pretreated by chemometrics software CM-2000, and the near infrared quantitative analysis model of waste polyester fiber products was established by partial least squares as a correction method. The correlation coefficient of calibration and the correlation coefficient of prediction was 0.994 and 0.989, the standard errors of calibration and the standard errors of prediction are 1.832 and 2.065, respectively. The polyester content of the above fabric was predicted by the established model, and the correct rate of internal prediction is 90.58%. 173 samples not involved in the modeling were used for external verification. The validation accuracy is 88.44%, and the external prediction rate for pure polyester fabrics is 96%. The result shows that the model can be used to identify pure polyester fabric from waste textiles.

Key words: polyester fiber, waste textile, near infrared quantitative analysis, fiber identification

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