Rapid identification of fibers from different waste fabrics using the near-infrared spectroscopy technique

Abstract

Fiber identification is the primary task of waste textile recycling, which plays an important guiding role in the recovery and reuse of waste textiles. In this study, 186 pure spinning textiles with different fiber species were chosen as the raw materials, the near-infrared spectra were collected and the differences among various fibers species were also studied. The fast and accurate classification/identification model of textile fiber was established using the near-infrared spectral modeling technique. The soft independent modeling of class analogy method was used to construct the model. The results show that the model recognition rate can be up to 97% after selecting the wavenumber range of 6800–5300 cm–1 with the first derivative treatment on the spectra. It was found by external validation that the prediction accuracy of the model was 100% for polyester, polyamide, acrylic, silk and wool. The prediction accuracy of cotton fiber and polyester fabric was higher than 90%. The above result demonstrated that the textile fiber identification model established in this study can be used for fast and accurate identification and sorting of waste textiles.

Circular economy of post-consumer textile waste: Classification through infrared spectroscopy

“…On the other hand, there are 4 papers in the literature using NIR spectra to classify textile samples, three of them for recycling purposes (Liu et al, 2019;Zhou et al, 2018;Zhou et al, 2019).…”

Cellulose Fibers for High-Performance Textiles Functionalized with Incorporated Gold and Silver Nanoparticles

“…Further refinement of mathematical operations also allows the determination of exact blend compositions (Chen et al 2018). In principal, NIR technologies display a high recognition rate (97-100%), but they face limitations with small contaminants such as elastane (Cura & Rintala 2019;Zhou et al 2019).…”

Classification of Textile Samples Using Data Fusion Combining Near- and Mid-Infrared Spectral Information

“…Although several publications related to NIR spectroscopy, as a method to identify different textile fibers (cotton, wool, polyester, etc.) [ 41 , 42 ] and some blend mixtures [ 30 ], recently appeared and papers related to MIR spectroscopy can also be found (to measure textile degradation [ 43 ] and for textile-fiber identification [ 13 ]), to the best of our knowledge, there are no studies related to the data fusion of NIR and MIR spectra in textile industry yet.…”