GB 18383 Comparative analysis of the new and old standards for GB 18383 "General technical requirements for products with filling materials" is the core mandatory standard for the quality and safety control of fiber products with filling materials in China. The new version, GB 18383—2025, will officially take effect on July 1, 2026, introducing new requirements for industry production, inspection, testing, and market supervision. To help the industry fully understand the revised content and achieve a smooth compliance transition, this paper takes both the old and new versions of the standard as research subjects, employing methods such as clause-by-clause comparison, systematic analysis, and key point interpretation. It conducts a systematic comparison across seven aspects: scope, normative references, terminology and definitions, requirements, testing methods, labeling, and sampling and judgment rules. The study delves into the details of standard revisions, technical adjustments, and logical optimizations, highlighting the core features of the new standard in terms of safety upgrades, green circularity, and precise control. It provides theoretical references and technical support for production enterprise' transformation and adaptation, testing agencies' standardized inspections, and regulatory authorities' precise enforcement, holding significant practical implications for improving the overall quality and safety of fiber products with filling materials and standardizing industry development.

GB/T 20793—2015 "Degummed ramie" has played an important role in standardizing the production, trade, and quality control of refined ramie for more than ten years. However, with the development of the industry and the advancement of processing technology, some technical indicators have become incompatible with the actual production and inspection status. This article analyzes the problems in the implementation of standards based on the national production and notarized inspection data of refined ramie from 2022 to 2024, quality inspection results from 2021 to 2025, and industry research, as well as the insufficient coordination with the new version of GB/T 5881—2024 and other method standards. The current standards need to be optimized and improved in terms of scope of application, technical parameters, and grading system. Based on public inspection data and research opinions from enterprises and inspection institutions, this article proposes revision suggestions such as relevant indicators and compatibility with the latest experimental methods, in order to enhance the applicability and guidance of the standards for the ramie industry.

This paper compares and analyzes the new and old versions of "Textiles-Determination of abrasion resistance of fabrics by the Martindale method-Part 2: Determination of specimen breakage". The main revisions of the new standard are summarized in terms of normative references, terminology, test parameters, operating procedures, result expression and judgment, as well as test report requirements. By clarifying the differences between the two versions, this study helps relevant personnel accurately understand and apply the standard, and supports textile manufacturers in achieving high-quality development.

The introduction of the national standard GB/T 46819—2025 "General technical requirements for latex fillers in textile products", provides clear technical criteria for this product category. This article begins with the standard's provisions, analyzes the considerations behind each testing item, helps relevant parties accurately understand the standard's intent, and offers reference points from different perspectives for manufacturers and consumers.

GB/T 28845—2025 "Silk fabrics for neckties" was released on October 31,2025,and will implement on November 1,2027. This article mainly analyzes and compares the similarities and differences of "Silk fabrics for neckties" and "Yarn-dyed silk fabrics for necketies", provide technical support and guidance for tie silk fabric manufacturing enterprises, inspection and testing institutions and tie consumer groups.

This study analyzes and discusses the key points of combustion performance testing for infants and children textile products, combining the requirements for performance assessment, testing criteria, and daily testing experience, with the aim of improving testing efficiency and result accuracy.

This paper reviews the current standards for Tussah cocoons and silk products, and through a comparative analysis with the mulberry silkworm series standards, it summarizes the main problems existing in the Tussah standards, such as the lack of key inspection standards, the absence of differentiated standard indicators,and the insufficiency of functional standards. In response to these issues, suggestions are made to accelerate the formulation of basic standards for the Tussah industry, establish a differentiated standard system from mulberry silkworm silk, enhance research on the functionality of Tussah products and develop an international standard system.

Mechanized cotton harvesting has become a core symbol of the modernization of China's cotton production, playing an irreplaceable role in improving production, reducing costs, and stabilizing industry development. However, compared with manual picking, machine-picked cotton significantly affects fiber quality during harvesting, processing, and storage and transportation. This is manifested in fiber length damage, increased short fiber content, higher impurity content, increased neps, aggravated foreign fiber contamination, and reduced fiber strength and uniformity, which directly the quality grade of raw cotton and its spinning value. This paper systematically analyzes the impact patterns of machine-picked cotton on major fiber quality indices and proposes paths method for variety breeding, cultivation management, harvesting operations, ginning processing, and quality supervision, providing a theoretical basis and technical support for improving the quality of machine-picked cotton fibers and promoting the high-quality development of the cotton industry.

This article taking the 2024—2025 cotton quality traceability data of Tacheng Prefecture as the research object, this paper conducts statistical analysis from two dimensions: regional planting and processing enterprises. It examines the current status of high-quality cotton production in Tacheng Prefecture and its cotton-producing counties and cities, the purchasing and processing characteristics of processing enterprises, and the circulation patterns of traceable cotton.The results show that: the overall yield rate of high-quality cotton in Tacheng Prefecture increased slightly, but development was unbalanced among counties and cities; the high-quality cotton yield rate of processing enterprises remained generally stable; traceable cotton circulated frequently across regions with significant quality differences. On this basis, combined with the natural geographical conditions and industrial foundation of Tacheng Prefecture, this paper proposes improvement suggestions in variety optimization, planting management, processing control, and industrial coordination, so as to provide data support and practical reference for the high-quality development of the cotton industry in Tacheng Prefecture.

To clarify the quality differences between traditional silkworm cocoon and all-age artificial feed cocoon, this study conducted a comparative analysis of their physical quality indicators and variability based on official classification data from the Hechi City Fiber Inspection Institute's silkworm dry cocoon official classification system between 2023 and 2025. Comparative analysis was conducted on key physical quality indicators and their variability, including cocoon silk length, loading cocoon rate, hairy foot cocoon rate, and unwinding rate, aiming to explore the differences in quality metrics. The study revealed distinct quality variations between all-age artificial feed cocoon and traditional silkworm cocoon, influenced by multiple factors.

Polyester/polypropylene composite fiber is a common composite fiber. It exhibits both the physical and chemical properties of polyester and polypropylene fibers, Thus, it is an excellent new-type composite fiber with wide applications. However, existing national and industrial standards for fiber composition testing, such as the FZ/T 01057 and GB/T 2910 series, do not involve chemical quantitative methods for this composite fiber blended with other fibers, leaving a technical gap in its quantitative detection. This paper designs and carries out a series of chemical dissolution tests by referring to the framework of existing standards including FZ/T 01057 and GB/T 2910, selecting appropriate chemical reagents and controlling key reaction conditions. It aims to verify the feasibility of chemical quantitative analysis between this new composite fiber and other common fibers based on experimental results, and to determine the key parameters of the method. In addition, this study provides key experimental data for the future formulation and revision of relevant standards, and offers technical support for quality control and preliminary research in related industries.

With the advancement of consumer awareness and the popularization of health concepts, sun protection is increasingly becoming a "national-level" essential need. Consumers are also putting forward higher requirements for the functionality and durability of sun-protective textiles. This article systematically tests and analyzes the samples of daily entrusted ultraviolet performance detection to evaluate the changes in the ultraviolet protection function of sun-protective textiles before and after washing, providing data support for improving the durability evaluation in the GB/T 18830 standard. At the same time, through the tests of moisture permeability and contact cooling sensation performance, it explores the comfort performance of sun-protective textiles, with the aim of providing data support for the development of sun-protective textiles towards multi-functionality and high quality.

This paper reviews the current research status on the generation mechanism, influencing factors, and main chemical components of clothing-related body odour, and analyses the similarities and differences among the methods based on physicochemical principles and their key parameters. This paper summarizes the limitations of current standards for relevant testing methods and provides a reference for the future development of evaluation systems.

Due to the similar morphological characteristics and significant differences in production, wool and cashmere are frequently adulterated and counterfeited in the market, seriously harming consumer rights and market order. Traditional wool and cashmere detection methods suffer from drawbacks such as relying on human experience, long detection cycles, and limited accuracy. Deep learning technology, with its advantages of efficiency, non-destructive, and high precision, has become a research hotspot in the field of fiber detection. This paper systematically expounds the core morphological differences between wool and cashmere fibers, compares the limitations of traditional detection methods, and focuses on the basic principles of fiber detection based on deep learning, including the fundamentals of microscopic image preprocessing, the core mechanisms of object detection and instance segmentation. It analyzes the application logic of typical deep learning models in fiber detection, providing theoretical support for the subsequent development and application of efficient and fully automated wool and cashmere fiber detection algorithms.

Spandex is one of the fibers prone to missed detection in the qualitative analysis of textile components. This article summarizes key points for rapid qualitative identification of spandex using manual disassembly and microscopy methods by analyzing five types of spandex-containing samples commonly missed in textile testing, providing technical references for testing agencies and enterprises to avoid spandex detection failures.

This study organized an interlaboratory comparison test involving 18 laboratories to analyze the discrepancies in textile lightfastness test results. Preliminary analysis indicated that differences in effective humidity control might be the primary cause for the inconsistency. To investigate this, targeted verification experiments on key influencing factors (effective humidity, endpoint determination, and personnel visual assessment variation) were conducted in the laboratory. Results showed that for humidity-sensitive samples, variations in effective humidity control significantly affected the test results, with differences reaching up to 2.5 grades. The variations in endpoint determination and personnel visual assessment typically had a controlled impact of ≤0.5 grade on the average result, but could influence the judgment for borderline samples. The verification tests elucidated the mechanisms by which these key factors affect the measurement results, providing technical support for enhancing the consistency of interlaboratory test results.

To more realistically simulate the pilling phenomenon of wool woven fabrics during actual wear, this paper proposes a new pilling test method for worsted woven fabrics, namely the self-grinding method, by comparing and analyzing the limitations of four existing domestic test methods for fuzzing and pilling. Using the fabric sample itself as the abrasive, this method specifies key parameters such as friction pressure and friction cycles, enabling more accurate simulation of pilling behavior in high-frequency friction areas of garments (e.g., armpits and crotches). Test results show that the correlation between the test results of the self-grinding method and actual wear effects is significantly better than the circular track method and are more consistent with the actual wear status, providing more scientific technical support for the quality control of wool woven fabrics.

A systematic analysis was conducted on patent literature related to basalt fiber in the textile field, involving screening, indexing, and data processing. The study examined application trends, regional distribution, major patent holders, and technical aspects, providing informational guidance for domestic market entities and R&D teams to understand patent competition landscapes and technological development trends. Patent applications worldwide and in China have surged dramatically over the past decade, with China dominating both technology origin and target market distributions. Leading applicants are mainly European, American and Japanese multinational corporations, alongside rising domestic universities and enterprises in China. Key basalt fiber technologies in the textile industry include composite and conductive material preparation. Future R&D frontiers will focus on innovations in ultrafine fibers and blended yarns.

Impurity rate test is the key index of cotton notarization test. Since 2023, Xinjiang regulatory cotton impurity rate inspection has fully adopted the cotton rapid impurity analyzer, which has realized the intelligent transformation of the inspection mode. However, due to the particularity of Xinjiang regulatory cotton inspection and the higher requirements for the weight of impurity rate inspection in the new inspection technical specifications in 2025, the impurity rate inspection requires long time, high strength, overload and uninterrupted operation, which leads to the increase of fault frequency, the increase of work intensity of impurity rate inspectors and the poor adaptability of cotton type. This paper summarizes the common problems of cotton rapid impurity analyzer in the supervision of cotton inspection, and puts forward corresponding suggestions and methods, in order to improve the accuracy and efficiency of impurity rate inspection.

Cotton futures prices are influenced by multiple interacting factors along the cotton textile industrial chain, and traditional forecasting models struggle to capture the nonlinear relationships. This paper selects 14 industrychainrelated feature variables, constructs supervised learning samples using a sliding window method, and builds five forecasting models including AttentionLSTM to evaluate predictive performance using RMSE, MAE, MAPE, and MDA. The results show that the AttentionLSTM model achieves the best overall performance, with a test MAPE of 1.23%, an RMSE of 219.27, and an MDA of 58.21%, significantly outperforming the other models. This study provides low prediction error and high directional accuracy for cotton futures prices, offering quantitative references and empirical evidence for hedging and investment decisions in the cotton textile industrial chain.

Zhanjiang's intangible cultural heritage boast high value for revitalization and inheritance in the field of apparel design. However, the transformation of intangible cultural heritage elements into apparel currently faces dilemmas including insufficient creativity, disconnection between traditional aesthetics and modern trends, and low design efficiency. Driven by generative artificial intelligence, this study constructs a three-stage workflow of cultural analysis - AI generation - design optimization, and promotes the digital coding of intangible cultural heritage visual elements as well as innovative experiments in apparel design. Through prompt engineering control, cross-platform parameter optimization and human-machine collaborative iteration, a series of design solutions with both cultural authenticity and modern aesthetic sense are produced. A low-threshold and replicable lightweight innovation paradigm is formed, providing a path reference for the digital revitalization of regional intangible cultural heritage.

To further improve the training quality of postgraduates, the course "Advanced Fiber Materials" excavates ideological and political elements in the curriculum, and condenses three training objectives including scientific thinking, collaborative innovation and national feelings. The teaching content is restructured with sorted ideological and political cases, and case-based and project-based teaching methods are adopted. Teaching practice has verified that the teaching quality and students’ comprehensive quality have been significantly improved.

In the field of fiber quality monitoring in China, prominent issues remain, such as insufficient independent controllability of core technologies, a mismatch between testing methods and the development of new fiber instruments, a need for further improvement in the level of intelligence, a lag in the construction of the fiber inspection talent pool, and an imperfect testing system. This paper conducts an in-depth study on how to increase investment in the research and development of core fiber metrological testing technologies, improve fiber testing methods and standard systems, promote the deep integration of intelligent technologies with fiber metrological testing, strengthen the cultivation of interdisciplinary professionals, and continuously optimize the fiber metrological testing system and its metrological traceability capability, thereby providing solid technical support for textile manufacturing, fiber scientific research, and fiber quality supervision.

In the metrological inspection of the net content of prepackaged goods, the evaluation of measurement uncertainty is a critical step in ensuring the accuracy and reliability of inspection results. Based on the fundamental framework of the Guide to the Expression of Uncertainty in Measurement (GUM), the evaluation typically adopts a combined Type A and Type B assessment method to systematically identify and quantify uncertainty components arising from various sources, including measuring equipment, environmental conditions, operating procedures, and personnel skills. However, current evaluation practices face problems such as incomplete identification of uncertainty sources, unscientific quantification of components, insufficient professional competence of inspection personnel, non-standard management of instruments and equipment, and a lack of unified standards for the evaluation process, all of which hinder the improvement of evaluation quality. To address these issues, strategies such as improving the evaluation system, standardizing the component quantification procedure, strengthening personnel training and assessment, strictly enforcing full life-cycle management of instruments and equipment, and optimizing inspection workflows can systematically reduce the influence of uncertainty and enhance the scientific rigor and impartiality of net content inspection work.

Quality inspection of cotton textile products runs through the whole process of spinning production. The traditional management mode has pain points such as data silos, information lag and difficult traceability. With the deep integration of information technology and manufacturing industry, building an integrated quality inspection information management platform has become a key approach to improving quality control. At present, the informatization of quality inspection in the cotton textile industry presents a polarized feature: leading enterprises have taken the lead in deploying intelligent systems, while small, medium and micro enterprises still rely on manual operations, generally facing challenges such as poor system adaptability, low data integration and shortage of talents. Promoting information-based management can significantly improve quality inspection efficiency, ensure data accuracy, establish a full-chain traceability system, enable scientific decision-making and meet regulatory requirements. The implementation path should be steadily promoted in four stages: preparation and planning, pilot implementation, comprehensive promotion and optimization and upgrading. Meanwhile, the construction of a compound talent team should be strengthened, and solid support should be provided from technical and financial aspects, helping enterprises realize the transformation and upgrading of quality management from passive post-remediation to active pre-prevention.

With the development of modern industry and trade, the accuracy, reliability, and intelligence of weighing and measuring equipment are increasingly demanded. Traditional metrological verification methods have limitations in addressing sensor nonlinear errors, environmental interference, and large-scale equipment management. This paper primarily explores two innovative approaches: first, establishing an intelligent error compensation model based on Radial Basis Function (RBF) neural networks to accurately calibrate sensor outputs and significantly improve measurement performance; second, designing an IoT-based remote online verification system architecture that utilizes data acquisition terminals, reliable transmission protocols, and cloud platforms to achieve condition monitoring, data reporting, and command issuance, thereby advancing digital and intelligent verification. Research indicates that the deep integration of AI and IoT is the key to overcoming technical bottlenecks and achieving high-quality development.

Practical training teaching for analysis and inspection technology majors has long faced practical problems such as high investment, high difficulty, high risk, and difficulty in implementation, observation, and reproduction. Relying on virtual reality and artificial intelligence technologies, this research constructs an integrated teaching platform that integrates theoretical learning, virtual simulation training, training assessment, and comprehensive evaluation management. The platform builds a three-dimensional virtual laboratory environment to support full-process simulation operations of large instruments such as gas chromatography and liquid chromatography, and establishes a closed-loop practical training system of learning-training-assessment-evaluation. Application results indicate that the platform can strengthen students' practical operation abilities, reduce the operating costs of practical training, and provide stable technical support for the digital transformation of vocational education.

Inspection and testing institutions are an important component of China's quality infrastructure. Their operations are conducive to safeguarding consumer rights and interests, maintaining market order, and promoting high-quality social development. Based on the current overall development trend of the inspection and testing industry, and in combination with official documents on the development and construction of inspection and testing institutions released in recent years, this paper proposes strategies for improving the quality management level of inspection and testing institutions from multiple perspectives, aiming to provide practical reference for various inspection and testing institutions to enhance their quality management level and cope with industry competition .

As a core component of national quality infrastructure, inspection and testing undertakings are fundamental to high-quality development. Fiber inspection, as an important branch, is directly related to the security of cotton and other fiber industries, people’s livelihood guarantee and the implementation of national strategies. It also serves as a key technical support for standardizing the fiber market and empowering the upgrading of the textile industry. Party building leadership constitutes the fundamental guarantee for its quality improvement, efficiency enhancement and standardized development. Its internal mechanism is embodied in the coordinated effect of political guidance for direction setting, organizational leadership for capacity aggregation, and ideological guidance for spiritual consolidation. By translating the political and organizational advantages of the Party into innovative and competitive advantages of the inspection and testing industry, it addresses major industrial development challenges and vigorously promotes the transformation of fiber inspection from traditional quality testing to whole industrial chain technological empowerment.

Based on relevant theories and core technologies, this paper systematically analyzes the problems existing in the current construction of information management platforms for the inspection and testing of pressure-bearing special equipment, including serious homogenization, non-standard data management, a low level of intelligence, and an incomplete support system. By combining industry practice cases, targeted optimization paths are proposed, providing theoretical support and practical references for the scientific construction and efficient application of such platforms. This helps to enhance the digitization and intelligence level of the inspection and testing management of pressure-bearing special equipment, thereby strengthening the safety defense line for special equipment.

Composite fabrics were fabricated by blending silk and regenerated cellulose using a blending process. The structure of the fabrics was characterized by scanning electron microscopy and X-ray diffraction, and the wearability was evaluated based on measured data. The results showed that the interface between the two fibers in the composite fabric was well combined, and the crystallinity was 8.3 percentage points higher than that of pure regenerated cellulose fabric. The breaking strength reached 3.2 cN/dtex, the air permeability was 68.5 mL/(cm²·s), the softness was better than that of pure silk fabric, and the moisture regain was maintained above 12%, meeting the wearability requirements of high-end fabrics. This study provides practical references for the optimization design and industrial application of natural fiber composite fabrics.

To address the problems existing in the quality management of enterprises and public institutions, the traceability requirements and the reliability control concept should be integrated into the entire process of planning, operation, auditing, and improvement of the quality management system. Specific measures include improving specialized management systems, strengthening personnel training and assessment, standardizing full life-cycle management of equipment, and accelerating the construction of digital traceability systems. By building a full-chain, traceable, and intelligent data control mechanism, the authenticity of testing data and the reliability of results can be effectively enhanced, providing solid support for the efficient operation of the quality management system.

To address the issues of imperfect metrological traceability and inconsistent uncertainty evaluation in the field calibration of industrial gas online metering devices, a measurement model centered on mass flow rate and indication error is constructed, and field calibration approaches for differential pressure, velocity, and ultrasonic flowmeters are proposed. In accordance with JJF 1059.1—2012, an uncertainty component system is established, and the combined and expanded uncertainties are calculated at different flow points. The results show that all expanded uncertainties are less than 1.24%, which meets industrial metrology requirements, thus forming a standardized methodological framework for online calibration and uncertainty evaluation.