Microplastics refer to plastic fibers, particles or films less than 5 mm in diameter. Textile microplastics are an important form of microplastics, which can harm the ecological environment and human health. This paper studies the relationship between textile microplastic shedding and fabric structure to reduce microplastics pollution and reduce its impact on humans and the natural environment. Firstly, household washing is simulated by considering the main fabric type, the number of steel balls used in the washing, washing temperature, washing time and other influencing factors. An orthogonal test of the mixing level of the four factors is designed by selecting the fabric type, the number of steel balls used in washing, washing temperature and washing time, and the influencing factors is analyzed, and the best washing scheme is obtained. Then, under optimal washing conditions, the three factors and three levels of orthogonal test are designed to analyze the influence of fabric structure and external factors on the shedding of microplastics by changing the amounts of friction and insolation time. The results show that the microplastics released by knitted fabrics are significantly more under the same washing conditions than that of woven fabrics. Satin fabrics released the most microplastics and plain fabrics the least. In addition, among the external factors, the amount of friction significantly affects the production of microplastics.

Polyimide yarn as a kind of high performance fiber material has to improve the adhesion between the material surface and the resin in order to get a deeper application. The surface of polyimide yarn is modified by low temperature plasma treatment, and the effect of plasma treatment parameters on the adhesion between polyimide yarn and polypropylene resin is studied. By comparing the extraction force on the surface of polyimide yarn before and after treatment, the effect of plasma treatment parameters such as treatment time, processing gas and treating power on yarn adhesion is investigated. Furthermore, the adhesive force between polyimide yarn and polypropylene resin is analyzed by a single factor to optimize the process parameters to obtain higher adhesive force. Additionally, the Box–Behnken design is utilized to optimize the plasma treatment parameters, and the significance of the influence of the plasma treatment parameters on the adhesion between the polyimide fiber and the resin is discussed. The optimal process parameters are obtained through analysis: the treatment time 90 s, the processing gas oxygen, and the treating power 150 W.

In order to obtain the optimal collocation of two important technological parameters in the spinning process, the multi-response surface method was used to optimise the experimental results. Through the orthogonal design of the two factors and four levels of factor encoding, 16 groups of orthogonal experiments were designed; the experimental results were fit using the curve fitting toolbox of Matlab; a regression equation of yarn quality indicators, and in addition to a three-dimensional surface chart, an optimal scheme of the roving twist factor and spinning drafting for a roving twist factor of 110 were established; a spinning back draft of 1.5 was obtained based on experimental results of the response surface analysis and variance regression analysis. Experiments on the optimal scheme were carried out to verify the practicability of the results obtained by this method. The results show that application of the multiple response surface method to the optimisation of process parameters is of practical significance. This method can be applied for the optimisation of other process parameters.

Mulberry fiber is a new natural fiber. More and more attentions are paid to mulberry because of its good properties. The traditional chemical degumming method is liable to cause environmental pollution. This subject adopts the method of biochemical degumming technology to obtain mulberry fibers with certain spinnable properties. The degumming process of mulberry bark is studied on the basis of knowing the chemical composition and percentage content of the material composition of the raw material of mulberry bark, and the influence of different process conditions and parameters on the degumming effect is analyzed. Through single factor experiment and analysis of results, the optimized process parameters of biochemical combined degumming are as follows: the temperature and concentration of pickling acid pretreatment are 60°C and 2.5 g/L, respectively. The concentration, duration of action, and bath ratio of alkaline pectinase are 47 g/L, 8 h, and 1:20, respectively. The concentration and action time of sodium hydroxide in alkali boiling are: 10 g/L, 3 h. The concentration, duration of action, and bath ratio of xylanase are 10 g/L, 4 h, 1:20, respectively. The optimization process parameters obtained above lay the foundation for further orthogonal experiments to obtain the optimal degumming process.

This study investigates the influence of spinning process parameters on microfiber release from polyester fabrics, identifying yarn hairiness as the dominant controlling factor. Experimental results demonstrate an extremely high correlation ( R ² = 0.997) between 3 mm hairiness and microfiber release, confirming protruding fibers as the primary shedding source. Among the parameters examined, spinning method exhibits greater influence than twist factor, with Siro compact spinning consistently delivering optimal performance by achieving minimal hairiness and microfiber release while maintaining high breaking strength. The optimal combination was determined as Siro compact spinning with a twist factor of 400. The research establishes that spinning method's effect on microfiber release is primarily indirect, mediated through its determination of yarn hairiness. These findings provide a scientific basis for source reduction of microplastic pollution in textiles, demonstrating that proper selection of spinning technologies and process parameters can significantly reduce microfiber shedding at the manufacturing stage. The study offers practical solutions for developing more sustainable textiles and advancing green manufacturing practices in the textile industry, contributing to environmental protection and circular economy objectives.