The development of near-infrared spectroscopy and its research progress in the determination of textile fiber content are introduced in detail, and the main problems and key paths for breakthroughs are discussed. Although near-infrared spectroscopy has the advantages of being fast, non-destructive, and does not require chemical treatment, it faces many problems in the practical application of textile fiber content determination, including technical obstacles such as different types of instruments, complex modeling processes, and poor sample uniformity. In particular, the heterogeneity of the sample has a great influence on the accuracy of the measurement results. On the basis of weighing the pros and cons, it is recommended to simplify the operation process, expand the application range, and promote the wide application of near-infrared spectroscopy in the determination of textile fiber content by developing special instruments, promoting the standardization of modeling, and homogenizing and pretreatment of samples, so as to achieve the goals of greatly improving work efficiency, reducing costs and increasing efficiency, and significantly reducing the use of chemicals and possible health and environmental safety risks.

The micronaire value This article systematically introduces the application and development prospects of near-infrared spectroscopy in fiber testing. Based on the absorption or scattering characteristics of matter molecules to near-infrared light, this technology can achieve qualitative and quantitative analysis of fiber components and quality detection. Compared with traditional detection methods, near-infrared spectroscopy has significant advantages such as rapidity, high efficiency, non-destructiveness, and no need for complex pretreatment. It can be widely used in the identification of natural and chemical fibers, the determination of blending ratios, and the evaluation of fiber properties. This article presents current application cases of this technology, such as the content detection of cotton/polyester blended fabrics, the quality analysis of wool, and the material identification of ancient textile cultural relics. It also points out the future development directions: optimizing the model accuracy by combining artificial intelligence and big data, developing portable devices to meet the needs of on-site detection, and integrating multiple technologies to enhance the analysis ability. Near-infrared spectroscopy has great potential in improving the efficiency, accuracy, and intelligence level of fiber testing, providing important technical support for quality control and standardization in the textile industry.

In this paper, the content of cotton/polyester/spandex fabric was analyzed accurately, healthy and environmentally friendly by near infrared spectroscopy. Through the collection of 400 representative standard samples, Fourier near-infrared instrument was used to collect the spectrum of the sample, and the original spectrum was derived and smoothed before processing. The mathematical algorithm of partial least squares was used to model and design the workflow. A representative sample of 20 groups was selected for prediction analysis, and the results showed that the deviation was within the standard range. So it shows that NIR can measure cotton polyester spandex fabric accurately, healthily and quickly.

In order to improve the accuracy of NIR in the quantitative analysis of textile fibers, several parameters affecting model- ing and testing were analyzed, including the determination of sampling points, the determination of folded thickness of test samples, the recognition of abnormal spectra, and the determination of abnormal test results, and the determination of four parameters in the quantitative analysis of textile fibers by NIR spectroscopy was obtained. Four different sampling points on the front and back sides of the test sample need to be scanned. The number of folded layers should be at least 4 layers. In the process of modeling, it is necessary to pay attention to the recognition of anomaly spectra. When comparing the test results of NIR spectroscopy and conven- tional methods, the tolerance is ±1.5%when the fiber content is less than 10%. When the fiber content is greater than ten percent, the tolerance is ±2.5%.

Fiber content near-infrared spectroscopy has the advantages of non-destructive, rapid, and efficient, especially suitable for on-site rapid inspection of textile supervision and spot checks. This article collects 89 polyester fiber/spandex fabrics with known fiber content as the validation set. Through the validation of the polyester fiber/spandex calibration model, it is analyzed that the model is not suitable for fabrics containing dark dyes such as hemp gray. After removing such samples from the validation set, the model evaluation passed and satisfactory results were obtained in the fast testing of polyester fiber/spandex school uniforms.

Near-Infrared Spectroscopy (NIRS) is a fast, efficient and green nondestructive analysis method. In recent years, near in- frared spectroscopy has been widely used in the field of textile testing, fiber content is an important index of textile testing, but also a key index to measure the quality of textiles. In this paper, near-infrared spectroscopy was used to quantitatively analyze the com- mon cotton/polyester fiber, cotton/spandex, nylon/spandex and polyester/spandex two-component blended fabrics, and the conven- tional detection methods were verified by chemical analysis and manual resolution. After removing the abnormal spectrum caused by the abnormal fiber and the addition of matting agent, The fiber content values of these common two-component blended fabrics obtained by near infrared spectroscopy meet the requirements of GB/T 29862—2013 "Textile Fiber Content Identification", and the analysis results are accurate and stable.

Near-infrared spectroscopy qualitative analysis has been extensively studied in the field of textile testing, with a variety of different qualitative modeling methods being developed. Each method has its own advantages and disadvantages. This paper in- troduces commonly used pattern recognition methods, such as cluster analysis, distance discriminant method, principal component analysis (PCA), SIMCA (Soft Independent Modeling of Class Analogy), PLS-DA (Partial Least Squares-Discriminant Analysis), artificial neural network method, SVM (Support Vector Machine), qualification testing, and similarity matching, and analyzes the applicability of each method. The paper summarizes the existing issues and current status of near-infrared spectroscopy applications and provides an outlook for its future development.

Near-infrared spectroscopy technology is based on molecular vibration spectroscopy characteristics. By analyzing char- acteristic absorption peaks, it enables non-destructive and rapid detection of key indicators such as fiber composition and moisture content. The detection time is reduced to the second level, and no chemical reagents are required. Due to its high speed, non-de- structive nature, and high accuracy, NIR spectroscopy has been widely applied in the field of textile inspection and testing. This paper introduces the principles and characteristics of NIR spectroscopy detection, comparing its advantages and disadvantages with traditional component detection methods. It outlines the current applications of NIR spectroscopy in textile inspection and testing from the perspectives of qualitative identification, quantitative analysis, and online detection. The focus is on analyzing research progress in spectral data preprocessing and feature extraction algorithms, classification models (qualitative), chemometric models (quantitative), and the integration of multimodal models. Additionally, this paper discusses technical bottlenecks and prospects, pro- viding theoretical support and technical reference for textile testing institutions, inspectors, and academic researchers. The aim is to promote the transformation of the textile industry toward intelligence and sustainability.

To explore a rapid method for fiber identification and content determination, this study employed Near-Infrared Spectros- copy (NIRS) to conduct quantitative analysis on textile fabrics with varying colors, structures, and fiber types. The results revealed that NIRS, compared to the traditional manual dissection method, offers significant advantages in terms of simpler operation, us- er-friendliness, environmental sustainability, efficiency, non-destructiveness, and intelligent features. Additionally, apart from specific dyes and additives (spectral anomalies), the color, texture, and composition of textile fabrics have minimal impact on the test results of near-infrared spectroscopy (NIRS). Moreover, even components present in extremely low concentrations can be effectively identi- fied and quantitatively analyzed.

Children's masks typically refer to masks designed for minors aged 14 years and under. Currently, the market is flooded with diverse children's mask products, yet their non-uniform implementation standards lead to inconsistent quality.This study introduces the standards for children's masks in China and conducts a comparative analysis of the differences and sim- ilarities among various standards in terms of appearance structure, durability, comfort, protective performance, and safety hygiene requirements. Based on recall cases and supervisory sampling data of children’s masks across China in recent years, the study sum- marizes common quality issues, including protective effectiveness, particulate filtration efficiency, breaking strength of mask straps and their connection with the mask body, exhalation resistance, inhalation resistance, and ventilation resistance. Building on this, the study further analyzes and discusses key influencing factors behind these problematic items and proposes countermeasures and recommendations to address them.

An overview analysis is made on the recall situation and causes of textile products in the US market in the past three years, and the main reasons for the recall of "Made in China" textile products in the US market are as follows: The non-compliance of flammability, small parts falling off and excessive content of heavy metals (lead) were deeply analyzed, and reasonable control suggestions were put forward for the export compliance of Chinese textile enterprises in the US market.

In recent years, due to factors such as price, the enthusiasm of cotton farmers in Hunan to grow cotton has been low, and the planting area has been decreasing year by year. In terms of quality, from the picking of seed cotton to the bailing and warehousing, the quality standards have not been strictly implemented in all links, and the management is rough. In view of the current quality problems of cotton, corresponding measures and suggestions are put forward in combination with the actual situation, hoping to attract attention and be implemented.

This study aims to establish an accurate and sensitive gas chroma- tography-mass spectrometry (GC-MS) method for determining the content of squalane in textiles. By optimizing sample pretreatment methods and chro- matographic-mass spectrometric conditions, effective separation and quantita- tive analysis of squalane in textiles were achieved. The method demonstrated good linearity, with a linear regression equation of y =63400x－ 3775 and a correlation coefficient R ²=0.9995. The recovery rate ranged between 85% and 110%, and the relative standard deviation was less than 5%. This method shows significant application value in the detection of squalane content in tex- tiles.

The purpose of this paper was to analyze and identify the pyrolysis products of dimethylsilicone oil by Pyrolysis Gas Chromatography-Mass Spectrometry (Py-GC/MS). Dimethylsilicone oil was pyrolyzed by pyrolysis gas chromatography-mass spectrometry, and the pyrolysis products were retrieved and identified by NIST library spectrum. A total of 8 main components were identified in the final pyrolysis products, including Hexamethylcyclotrisiloxane (D3), Octamethylcyclotetrasiloxane (D4), Decameth- ylcyclopentasiloxane (D5), Dodecylcyclohexasiloxane (D6) and other cyclic siloxane compounds, which accounted for 88.34% of the total pyrolysis products. The results show that the above cyclic siloxane components can be used as the characteristic identifica- tion marks of dimethylsilicone oil, and provide a reliable method basis for the rapid detection and identification of dimethylsilicone oil.

This article conducts experimental research on the color fastness to storage color transfer of nylon/polyester and cotton woven fabrics based on the AATCC TM163-2013 (2020) e4 standard. Adopting the first level fuzzy comprehensive evaluation meth- od to study the relationship between fabric component, color, and fabric color change and color staining. When the sample compo- sition is nylon/polyester, the color is dark green, and the color fastness to color transfer during storage is relatively good. When the sample component is cotton and the color is indigo blue, the color fastness to color transfer during storage is relatively good. This article aims to provide some reference for the development of new types of clothing fabrics.

This article comprehensively evaluates the quality of 30 down comforters of different prices and brands, including their thermal insulation performance, comfort performance, and safety performance, covering 12 items including down type, down content, fluffiness, cleanliness, alkylphenol (AP) and alkylphenol polyoxyethylene ether (APnEO), and explores the quality grading standard system for down comforters. The results show that using this scheme for quality grading evaluation of down jackets can accurately reflect customer needs and guide production, and can evaluate the added value of warmth and comfort performance of down jackets. It is an exploration of the quality grading system for down products and provides reference for the formulation of relevant national standards.

This article compares and analyzes the structure, scope of application, normative references, terms and definitions, tech- nical requirements, and test methods of GB 30585—2014 "Safety technical specifications for chidren’s footwear" and GB 30585— 2024 "Safety technical specifications for infants' and children's footwear". It elaborates on the main changes between the old and new standards, facilitating users' understanding of the new standard and providing reference and guidance for relevant manufactur- ers, technical personnel, and testing personnel.

The implementation of GB 8965.4—2022 "Protective clothing-Arc flash protective clothing" fills the gap in China's man- datory standard for arc flash protective clothing. In order to grasp the applicability of the standard, the coordination, the constraints and the application of the standard users, the implementation and effect of the standard are analyzed statistically. This paper summa- rizes and analyzes the problems existing in the implementation process of the standard, and puts forward suggestions for the imple- mentation of the standard. It also provides data support for the revision and improvement of the standard.

This study focuses on the consumption market of Inner Mongolia cashmere. Through a survey of more than 5,000 consumers, it deeply analyzes consumers’ purchasing behaviors,preferences,characteristics of consumer groups, and dynamic changes in the market. The research finds that when purchasing cashmere textile products, consumers mainly focus on wearing comfort, style, and workmanship, and are more receptive to simple, stylish, and casual styles. At the same time, the consumer groups are divided into four categories: "demanding type" "casual type" "value - for - money type" and "functional type". There are significant differences in purchasing timing, locations, and product preferences among different consumer groups. In addition, with the change of the market environment, the competition pattern, product structure, and industry division of labor in the cashmere products market are also constantly evolving. This study provides an important basis for cashmere enterprises to develop precise marketing strategies and promote the consumption of domestic cashmere products.

In April 2025, the China Fiber Quality Monitoring Center issued the "Three-Year Action Plan for Improving the Capabil- ity of Specialized Fiber Inspection Institutions", focusing on the goals of comprehensively improving the professional support capa- bilities and levels of specialized fiber inspection institutions, meanwhile fully releasing the effectiveness of fiber notarial inspection. Ultimately consolidating the foundation, leveraging advantages, making up for shortcomings and strengthening guarantees will been achieved. Supported by Three-Year Action Plan, the institutional performance system foundation are planed to be more con- solidated, the credibility and quality of inspection to be further improved, the construction of fiber inspection-related collaborative linkage mechanism, scientific research innovation, personnel training, standardization and metrology support to be more powerful. And finally a batch of core enterprises grow up and service guarantee for market regulation.