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