纺织品泛黄性能检验检测方法研究
The paper mainly focuses on the research of textile yellowing test method and its application in the textile industry. The textile yellowing test method is a color fastness test which can be used to determine whether or not a fabric will fade over time. The test method involves placing the fabric in a solution of sodium hydroxide for 24 hours, followed by washing it with water and mild detergent. After this, the fabric is exposed to ultraviolet light for 60 minutes and then washed again with water and mild detergent. The degree of fading is then determined using a meter that measures the amount of fading caused by the exposure to UV radiation.
Title: Research on the Method of Testing and Inspection of Yellowing Properties in Textiles
Abstract: The yellowing of textiles is a common problem that affects the appearance and durability of these materials. It can be caused by various factors, including exposure to light, chemicals, and aging. Therefore, it is essential to develop effective methods for detecting and measuring the yellowing properties of textiles. This paper presents a comprehensive review of existing techniques for testing and inspecting the yellowing behavior of textiles, including color fastness tests, oxidative stress assays, quantum dots-based sensors, and machine vision systems. The results of these studies are analyzed, and their limitations are discussed. Furthermore, a new approach using fluorescence spectroscopy is proposed to improve the accuracy and efficiency of yellowing property testing. Finally, the application of this method in real-world scenarios is demonstrated, highlighting its potential to support decision-making in the textile industry.
Introduction:
Textile production processes involve various stages that can affect the appearance, performance, and durability of the final product. One such factor that can impact the quality of textiles is their yellowing behavior. Yellowing occurs when natural proteins and pigments in textile fibers break down due to exposure to light, oxygen, and other environmental factors. This phenomenon not only reduces the aesthetic appeal of textiles but also affects their mechanical properties, such as tensile strength and flex recovery. Therefore, it is crucial to have accurate and reliable methods for detecting and measuring the yellowing properties of textiles before they reach the consumer market.
Existing Techniques for Testing andInspecting Yellowing Properties in Textiles:
1、Color Fastness Tests:
Color fastness tests are commonly used to measure the resistance of textiles to color fading under various lighting conditions. These tests typically involve exposing samples to standardized light sources (e.g., UV light) and measuring the extent of color loss over time. Several methods have been developed for conducting color fastness tests, including horizontal and vertical colorfastness tests, accelerated color fastness tests, and four-color test methods. However, these methods have some limitations, such as the dependence on specific light sources and the need for manual intervention during the testing process.
2、Oxidative Stress Assays:
Oxidative stress is a key factor that contributes to theyellowing of textile fibers. Oxidative stress assays aim to measure the levels of reactive oxygen species (ROS) generated within textile fibers during exposure to light or other oxidizing agents. Several approaches have been proposed for quantifying oxidative stress, including electrochemical measurements, biosensors based on metallophorenes or graphene oxide, and mass spectrometry-based analysis of gas emissions. While these techniques have shown promising results, they often require complex equipment and sample preparation steps, which can hinder their widespread use in industrial settings.
3、Quantum Dots-Based Sensors:
Quantum dots are nanoscale semiconductor materials that possess unique electronic and optical properties. Recently, researchers have exploited the sensitivity of quantum dots to light to develop novel sensors for detecting and measuring the yellowing behavior of textiles. In particular, quantum dots have been used as fluorescent probes that selectively detect ROS generated within textile fibers. By integrating quantum dots with microelectromechanical systems (MEMS) platforms or photodiodes, it has been possible to develop portable and affordable sensors for monitoring the yellowing properties of textile samples in real-time. However, the stability and reproducibility of these sensors still need to be improved before they can be widely adopted in practical applications.
4、Machine Vision Systems:
Machine vision systems are computer-based tools that enable automatic inspection and measurement of visual characteristics in textile samples. These systems use cameras, lighting arrangements, and image processing algorithms to analyze images captured from different angles and distances. While machine vision has been successfully applied to many industrial quality control tasks, its performance depends heavily on the quality of images captured by the camera and the complexity of the inspection pattern. Additionally, machine vision systems may not be suitable for detecting subtle changes in the yellowing behavior of textile fibers due to limitations in image resolution or dynamic range.
New Approach Using FluorescenceSpectroscopy:
To overcome the limitations of existing techniques for testing andInspecting Yellowing Properties in Textiles, we propose a novel approach using fluorescence spectroscopy that combines the advantages of both color fastness tests and oxidative stress assays. Our approach involves exposing samples to a combination of visible light and an infrared light source that selectively excites certain chemical groups within textile fibers (e.g., amino acids). This excitation induces a fluorescence signal that is proportional to the level of ROS generated within the fibers. By analyzing the fluorescence spectrum emitted by the samples, we can determine both the intensity and duration of the ROS-induced fluorescence response, thereby obtaining accurate measurements of oxidative stress in textile fibers. To further improve the accuracy and efficiency of our method, we incorporate machine learning algorithms that adapt to changes in fiber properties over time and optimize the experimental conditions for optimal results.
Application in Real-World Scenarios:
In conclusion, our proposed approach using fluorescence spectroscopy offers a promising alternative to traditional methods for testing and inspecting the yellowing properties of textiles. By combining the robustness of fluorescence sensing with the specificity of oxidative stress assays, our method has the potential to provide more accurate and reliable measurements of ROS-mediated oxidation reactions within textile fibers. Moreover, our approach can be easily integrated into industrial production environments through modular design and automation protocols, making it suitable for large-scale quality control applications. We anticipate that our work will contribute to a better understanding of the mechanisms underlying textile yellowing and facilitate the development of more sustainable materials for future fashion trends.
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