二阶导数红外光谱对羊毛/蚕丝混纺纤维成分的定性和定量检测  

The Qualitative and Quantitative Detection of Wool/Silk Blend Fibers with Second Derivative Infrared Spectra

作　　者：王敏[1] 邵敏[1] 

机构地区：[1]浙江理工大学先进纺织材料与制备技术教育部重点实验室,杭州310018

出　　处：《浙江理工大学学报（自然科学版）》2014年第2期107-111,共5页Journal of Zhejiang Sci-Tech University(Natural Sciences)

摘　　要：应用二阶导数红外光谱对羊毛纤维、蚕丝纤维及其混纺纤维进行鉴别，并建立羊毛/蚕丝混纺纤维含量的二阶导数红外光谱定量分析模型。实验结果表明：应用二阶导数谱图中的1265±1、996±1、（974±1） cm-1一组吸收峰可以对蚕丝纤维进行定性。应用二阶导数红外谱图并结合偏最小二乘法（PLS ），选取835．00～495．00 cm-1作为建模时的峰范围建立定量模型。该定量方法数据重复性较好，标准偏差≤1．51；定量模型的回归系数及定标均方根误差分别为R：0．99943和RM S EC ：1．16；与化学溶解法相比，两者的定量结果与实际含量的绝对偏差相差不大，但红外光谱法的回收率稍低，在87．76％～107．82％之间。This paper applies second derivative infrared spectroscopy to distinguish wool ,silk fibers and wool/silk blend fibers and establishes second derivative infrared spectroscopy quantitative analysis model of wool/silk blend fiber ratio .The experimental results show that a group of absorption peak in sec-ond derivative infrared spectroscopy （1 265 ± 1 ,（996 ± 1）cm -1 and （974 ± 1）cm -1 ） can be used to deter-mine the nature of silk fiber .The quantitative model is established through selecting 835 .00~495 .00 cm -1 as the peak scope in combination of second derivative infrared spectroscopy and partial least squares （PLS） .This quantitative method owns good data repeatability with the standard deviation ≤1 .51 .The re-gression coefficient and root-mean-square error of the model are R ：0 .999 43 and RMSEC ：1 .16 respective-ly .Compared with chemical dissolution method ,the absolute deviation of the quantitative results and the actual content is not large , but the recovery rate of infrared spectroscopy is slightly lower , between 87.76% and 107 .82% .

关 键 词：羊毛 蚕丝 二阶导数红外光谱 定量 纤维鉴别 混纺纤维 

分 类 号：TS107.8[轻工技术与工程—纺织工程]