Method for determining content of components in blended fiber

Abstract

The invention discloses a method for determining the content of components in blended fiber and relates to the method for determining the blended fiber. The method comprises the following steps: acquiring near infrared spectrum data of the blended fiber and a detected pure fiber, and converting the obtained near infrared spectrum data into angle values between the blended fiber and the detected pure fiber; by selecting a modeled blended fiber sample as a correction set, selecting a blended fiber sample to be detected as a prediction set, taking the content of the detected pure fiber in the correction set as a dependent variable and taking a matrix consisting of the correction set and the angle value of the detected pure fiber as an independent variable, establishing a multi-variable regression model through a partial least squares method; substituting the angle values of the blended fiber to be detected and the detected pure fiber into the multi-variable regression model so as to obtain the relative content of the detected pure fiber in the blended fiber to be detected. During fiber detection, sample pretreatment is not needed, an experiment environment requirement is reduced, and an analysis method is simple, quick and accurate and is also can be used for determining the content of components to be detected in the blended fiber when the components of the blended fiber are undetermined.

Description

technical field [0001] The invention relates to a method for measuring blended fibers, in particular to a method for measuring component content in blended fibers. Background technique [0002] At present, some quantitative detection methods for textile fibers cannot achieve single-room, rapid, non-destructive, and non-polluting detection. Conventional detection generally requires first identifying the fiber components of textiles, and then using an appropriate solvent to dissolve one or several fibers. Calculate and analyze the fiber component content according to the weight loss after dissolution or the undissolved weight. This method is time-consuming and produces toxic pollutants during the experiment, which cannot meet the needs of quality control in the textile production process and rapid customs clearance testing for international trade. [0003] Near-infrared spectroscopy (NIR) analysis technology is one of the fastest-growing and most eye-catching spectral analysi...

AI Technical Summary

Problems solved by technology

The traditional quantitative method of spectral intensity combined with chemometrics has fast analysis speed, no need for pretreatment of samples, and no damage to samples. Unstable signal strength makes non-contact analysis a big obstacle in process analysis

Taking the near-infrared spectrum as an example, the intensity of the near-infrared spectrum can maintain a linear relationship with the concentration of the analyte under certain measurement conditions, but in actual operation, there are too many factors that affect the intensity of the near-infrared spectrum and are difficult to control, such as the stability of the light source power , sample concentration changes, etc., it is difficult to directly quantify the intensity of the near-infrared spectrum

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