Near-infrared spectroscopy analysis technology helps Zhongshan Inspection and Quarantine Bureau determine textile fiber components
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Editor’s note:my country is a major exporter of textiles, but in recent years, the components of textile and clothing labels have Inconsistencies in actual ingredients, adulteration of textiles and low quality have not been effectively curbed in a timely manner. Zhongshan Inspection and Quarantine Bureau’s research on the application of near-infrared spectroscopy analysis technology to quickly determine textile fiber content has achieved a phased breakthrough. This technology can be called the “DNA” technology in fiber identification.
A few days ago, the invention patent “a method for preparing fiber component content standard samples” applied by scientific and technical personnel of Zhongshan Inspection and Quarantine Bureau has been accepted and announced by the State Patent Office. By using near-infrared spectroscopy detectors, inspectors simultaneously tried this technology on five blended products: polyester and cotton blends, cotton and spandex, cotton and silk, polyester and viscose, and polyester and spandex. The “Textile Fiber Content Distribution Statistical Software” developed in conjunction with it can condense more than 20,000 samples with component distributions on the market into 2,641 standard samples that cover 80% of the fiber component distribution. Zhongshan Inspection and Quarantine Bureau testing personnel have produced more than 500 standard samples. After actual testing, the standard samples have accurate value assignment, good uniformity, stability and durability, and can meet the requirements for establishing models using near-infrared spectroscopy analysis technology.
In the field of textile industry, infrared spectroscopy analysis is mainly used for the qualitative determination of ingredients. For blended fabrics, due to the superposition of spectra, the positions of characteristic peaks are blurred, which limits its development in textile detection. Research at home and abroad is limited to the blending of natural fibers and synthetic fibers, that is, the blending of two fibers with large differences in spectra.
Near-infrared spectroscopy technology is an indirect analysis technology. It first uses conventional analysis methods to obtain basic data on the components or properties of the modeling sample set, and then uses chemometrics methods to establish a calibration model, thereby Achieve quantitative analysis of unknown samples. It can be said that near-infrared spectroscopic analysis has been successfully used to detect fiber component content. The development of near-infrared equipment, the preparation of standard substances for assigning values, and the combination of computer technology and chemometrics technology to establish a content model are indispensable. Textile materials with different components and fiber content have different map shapes. It is based on this principle that near-infrared spectroscopy (NIR) technology is introduced in the fiber identification of textile materials. Simply place the test probe on a uniform, surface As soon as the smooth finished sample is scanned, the probe collects the spectrum module of the test sample and compares it with the reference material model spectrum module in the memory of the test equipment to detect the composition percentage of the textile.
Our country is the largest producer, exporter and consumer of textiles and clothing in the world. The textile industry is the second largest export-earning industry in my country. In 2012 alone, the cumulative export trade volume of textile raw materials and textile products reached 254.92 billion. US dollar, which grew by 2.8% throughout the year, accounting for 20% of the entire export trade volume.With more than 30 million employees, it is an important export and foreign exchange-earning pillar industry in my country. Textiles have always had resource advantages and low-cost labor advantages, and they play an important role in the production and export of textiles and clothing. The textile and clothing industries also play a pivotal role in the national economy.
During the production and sales process of textiles, the first thing to consider is the fiber type and composition of the fabric. Whether it is textile production or trade, people are often concerned about the qualitative identification and quantitative analysis of textile fibers. What raw materials to use and what is the input ratio of raw materials are often the first issues that organizers must consider. In trade, in order to prevent fraud, products must be labeled. The mandatory standard GB5296.4 “Instructions for use of consumer products, instructions for use of textiles and clothing” quotes FZ/T 01053 “Identification of fiber component content of textiles”, making the latter also mandatory, thus making the identification and quantitative analysis of textile fibers in many fields plays an important role in testing projects.
Compared with existing textile component analysis methods, near-infrared technology has three major breakthroughs:
First, the detection cycle is greatly shortened. The traditional testing method has a long testing cycle. It takes more than 10 hours from textile sample preparation, sample drying, chemical dissolution and peeling, sample drying after dissolution, to final calculation of results, test preparation and testing. With near-infrared technology, you only need to place the test sample at the probe, and the specific value of fiber content can be “read” in just a few minutes or even tens of seconds.
The second is ecological and environmental protection. Traditional quantitative testing of textile ingredients uses chemical dissolution or microscopy methods. The chemical dissolution method uses a large amount of strong acid, strong alkali and toxic and harmful chemical reagents, which seriously affects the health of the test personnel. Therefore, the test is required to be conducted in a fume hood, and a large amount of strong acid is discharged from the test. , strong alkali and cause great pollution to the environment. The microscopy method has large human factors and a long testing cycle. The test data produced by different testing personnel are biased and the differences are large, which is not conducive to the accuracy of judging the fiber content of textiles. Near-infrared technology does not require chemical reagents and will not harm the health of inspectors or damage the natural ecological environment.
The third is to protect the samples. Traditional testing methods require the destruction of test samples, which increases the sample loss of the units entrusted to send samples for testing. Especially for some high-end imported clothing, because the clothing is expensive, the samples must be destroyed when tested using traditional methods. Once destroyed, the distribution Business losses may amount to thousands of dollars. Near-infrared technology does not require damage to samples, and the tested samples will not undergo changes in color fastness, shrinkage, etc., which is conducive to the effective supervision of imported clothing and textiles by government regulatory agencies and better safeguards the rights and interests of domestic consumers.
The application of near-infrared spectroscopy technology in the quantification of textile raw material components will subvert the traditional textile raw material component determination and analysis methods, making it possible to rely on laboratories, chemical reagents, and testing personnel with textile expertise to complete The tedious analysis work was replaced by a near-infrared spectrometer equipped with a near-infrared analysis model, and the analysis time was shortened from more than 10 hours to 3 minutes, which greatly improved the analysis speed of textile raw material components and provided new opportunities for textile production, market supervision and sales. It provides fast and convenient analysis technology in every link, which is a major innovation in textile raw material component detection technology.
(Source: China Chemical Instrument Network)
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