关键词: 紫外屏蔽, 异色经纬交织, 颜色参数, 紫外防护系数, 主成分分析

Abstract: In the field of functional textiles, the continuous depletion of the ozone layer has led to increased ultraviolet (UV) radiation at ground level, making UV-protective textiles a subject of significant interest. Color, as an intrinsic property of fabrics, plays a critical role in UV shielding, with different colors exhibiting varying levels of effectiveness in blocking UV wavelengths. However, the research on the influence of color on textile UV protection has predominantly focused on monochromatic fabrics. For heterochromatic warp-weft interwoven fabrics, the underlying mechanisms of UV shielding remain insufficiently explored and lack systematic analysis. This study employed polyester yarns in six different colors as raw materials to produce 36 fabric samples for research. Using a Digieye digital color measurement system, spectrophotometer and textile UV protection factor tester, we obtained eight color parameters, long-wave ultraviolet transmittance (TUVA) and ultraviolet protection factor (UPF) values for each fabric sample. Linear regression analysis was performed between the eight color parameters and the textile UV shielding performance indicators to explore the relationship between each color parameter and the UPF and TUVA values. The aim was to investigate the influence of color characteristics on UV shielding performance. At the same time, principal component analysis (PCA) was applied to reduce data dimensionality, extract key influencing factors and establish a comprehensive scoring formula to precisely determine the differential contributions of various factors to UV shielding capability. The results indicated that in the CIE1964 XYZ colorimetric system, there was a significant positive correlation between X, Y, Z and UV transmittance, and a significant negative correlation with UV shielding performance, that is, the higher the tristimulus values, the higher the UV transmittance and the worse the UV shielding effect. In the CIE1976LAB and LCH uniform color spaces, lightness L* was negatively correlated with UV shielding performance, where higher lightness resulted in increased UV transmittance and poorer protective performance. In terms of chroma, red fabrics exhibited superior UV shielding compared to green fabrics, while blue fabrics outperformed yellow fabrics in UV protection. Through PCA, two principal factors F1 and F2 affecting the UV shielding performance were identified and a comprehensive scoring formula was developed to quantify the comprehensive contribution of each color parameter to the UV shielding performance of fabrics. The analysis revealed that the primary factor affecting the comprehensive UV shielding effect of fabrics was lightness index, followed by chroma component. Pearson correlation analysis further verified the significant correlation between the comprehensive PCA score and the UV shielding performance of the fabrics. Through the establishment of an integrated research framework combining single-factor linear regression and PCA, this study confirms that color characteristics exert significant influence on the UV shielding performance of fabrics. These findings provide theoretical guidance for optimizing fabric UV protection through deliberate color feature regulation, thereby achieving an organic integration of textile functionality and aesthetic appeal.

Key words: ultraviolet shielding, heterochromatic warp-weft interwoven, color parameter, ultraviolet protection coefficient, principal component analysis