近红外光谱在再生纤维素纤维／氨纶针织面料成分分析中的应用

以再生纤维素纤维／氨纶针织面料为研究对象进行近红外光谱分析，研究结果表明不同种类的再生纤维素纤维／氨纶针织面料近红外光谱图相似，可建立统一的预测模型对其成分含量进行定量分析；以莫代尔／氨纶、菜赛尔／氨纶、（粘纤＋莫代尔）／氨纶、（粘纤＋莱赛尔）／氨纶针织面料为样本建立的近红外光谱测试模型性能良好，50个复测样品模型预测值与标准值之间偏差大多都在0．6％以内，预测结果符合标准偏差要求。

Application of Near-Infrared Spectrum in Analyzing the Ingredients of the Fabrics Knitted by Regenerated Cellulose Fibers / Polyurethane Fibers

this study aims at the fabrics knitted by regenerated cellulose fibers / polyurethane fibers. The research shows that the near-infrared spectrums of each fabric knitted by different regenerated cellulose fibers / polyurethane fibers are almost the same. An uniform predicting model can be raised to analyze the ingredients of each fabric. The predicting model of near-infrared ~p~ctrum based on the samples of fabrics knitted by Modal / polyurethane fibers, Lyocell / polyurethane fibers, Viscose fibers and Modal / polyurethane fibers, Viscose fibers and Lyocell / polyurethane fibers works well. Deviations between standard values and predicted values of the 50 samples are less than 0.6 percent. Forecast results meet the requirements of the standard deviation.