Abstract: The traditional methods cannot meet the far-infrared and matrix ordinary fiber quantitative analysis, so the Near-infrared spectrum analysis technique is presented. Choose the common far-infrared polyester fiber, far-infrared polypropylene, polyester and polypropylene fiber as the research object.In this reach,combined with the sample weight affect the model,the far-infrared polyester/polyester and far-infrared polypropylene/polypropylene models which can achieve good prediction results were established by manual sampling and PLS method.Results show that the average relative errors of the far-infrared polyester and far-infrared polypropylene content were 2.03% and 3.76%.The research shows that the Near-infrared spectrum technique can be used as a method of quantitative analysis for far-infrared fiber.

Key words: near-infrared spectrum, far-infrared fiber, quantitative analysis, PLS