摘要
以毛涤混纺面料为研究对象,利用近红外光谱法,结合相应的化学计量学方法建立不同的数学预测模型,进行毛涤混纺面料中纤维含量的分析研究。实验对比分析了主成分回归模型、多元线性回归模型、偏最小二乘回归分析模型的模拟结果。其中,偏最小二乘法回归分析模型得出毛纤维含量的校正集标准差(SEC)为0.000 7,校正集预测值与真实值相关系数(RC)为0.992 23,涤纤维含量的SEC为0.001 6、RC为0.991 61,为最优分析结果。研究结果为数学模型在混纺面料成分定量分析中的应用提供了有力的依据。
This paper studies the wool and polyester blended fabric, using the near infrared spectroscopy method and chemometrics method to build different mathematical models so as to detect the fiber content of wool and polyester blended fabric. We analyze the results of principle component analysis, multiple linear regression model, and partial least square method with the experiments. The partial least square method shows that it can obtain the best model result that the wool content standard deviation is 0.000 7 and the correlation coefficient of the predictive value and actual value is 0.992 23. And Dacron content and the relation coefficient are respectively 0.001 6 and 0.991 61.The results of this study provided a powerful evidence of using mathematical model to analyze fiber content of wool and polyester blended fabrics.
引文
[1] 严衍禄,赵龙莲,韩东海,等.近红外光谱分析基础与应用[M].北京:中国轻工业出版社,2004:3.
[2] 颜丽,刘莉.纺织混纺面料里纤维含量的红外光谱法测定[J].激光与红外,2009,39(6):605-607.
[3] 褚小立,袁洪福,陆婉珍.近年来我国近红外光谱分析技术的研究与应用发展[J].分析仪器,2006(2):1-10.
[4] 柴金朝,金尚忠.光谱预处理对棉涤混纺面料近红外定量模型的影响[J].中国计量学院学报,2008,19(4):325-328.
[5] 刘荣欣.基于近红外光谱法快速检测毛涤混纺织物中的纤维含量[D].西安:西安工程大学,2015:34-40.
[6] 褚小立,袁洪福,陆婉珍.近红外分析中光谱预处理及波长选择方法进展与应用[J].化学进展,2004,16(4):528-542.
[7] 袁洪福,陆婉珍.现代光谱分析常用的化学计量学方法[J].现代科学仪器,1998(5):6-9.
[8] 褚小立,王艳斌,许育鹏,等.RIPP化学计量学光谱分析软件3.0的开发[J].现代科学仪器,2009(4):6-10.
[9] 褚小立,田高友,袁洪福,等.小波变换结合多维偏最小二乘方法用于近红外光谱定量分析[J].分析化学,2006,34(S1):175-178.