Research on digital-visual evaluation method of down fibers odor

气味 计算机科学 人工智能 计算机视觉 材料科学 心理学 神经科学
作者
Yaqian Sun,Xiacan Fan,Jianjun Pan,Xiaoting Zhang,Yuling Zhao,Hong Guo,Jie Min
出处
期刊:Textile Research Journal [SAGE Publishing]
标识
DOI:10.1177/00405175241247726
摘要

Down is often used as a natural filler for warm clothing, but the odor of down is one of the issues that affects the performance of warm clothing applications. At present, the evaluation of down odor mostly uses the human olfactory evaluation method, which has low reproducibility and accuracy. This article first uses the method of activated carbon gas extraction/gas chromatography–mass spectrometry to identify five down odor compounds that can be detected in a stable way, as representative compounds of down odor. Then, a simple direct impregnate extraction/gas chromatography–mass spectrometry method was used to determine the exact concentration of odor compounds in down fibers. Finally, an odor level radar chart was constructed by analyzing the concentration of odor representative compounds of levels 1–5 in down. The digital visual evaluation method was composed of direct impregnate extraction combined with radar chart to judge the down odor level and compared to the human olfactory method. The results indicate that the radar chart evaluation has relatively accurate evaluation results and is more objective and accurate than the human olfactory method. This method for evaluating the odor level of down is simple and reliable, and has certain promotion and application prospects in the down production industry.
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