便携式近红外光谱仪对涤/棉混纺织物的快速无损鉴别(英文)  

Non-Destructive and Fast Identification of Cotton-Polyester Blend Fabrics by the Portable Near-Infrared Spectrometer

作　　者：李文霞[1] 李枫[1] 赵国樑[1] 唐世君[2] 刘晓英[1] 

机构地区：[1]北京服装学院材料科学与工程学院,北京100029 [2]中国人民解放军总后勤部军需装备研究所,北京100010

出　　处：《光谱学与光谱分析》2014年第12期3246-3252,共7页Spectroscopy and Spectral Analysis

基　　金：the National High Technology Research and Development Program of China(the"863"Program)(2012AA063006);Science and Technology Transfer and Industrialization Projects of Beijing Municipal Education Commission-Recycling of the Textile Wastes in Beijing(131105)

摘　　要：利用便携式近红外光谱仪对376个涤/棉混纺织物进行研究,利用定量分析模型中的偏最小二乘法（partical least squares,PLS）作为校正方法,结合涤/棉混纺织物中涤、棉含量设定的定性鉴别系数,建立了涤/棉混纺织物的半定量-定性分析校正模型。该模型对涤/棉混纺织物进行定性鉴别的同时得出其相对含量,分析结果具有半定量性质。在建模过程中,采用Savitzky-Golay导数法,消除噪声和基线漂移对光谱的影响,并研究了波段选择和不同预处理方法对定性校正模型的影响。纯棉的主要吸收峰位于1 400~1 600nm,纯涤的主要吸收峰位于1 600~1 800nm,随着涤或棉含量的增加,其相应的吸收峰强度增强,因此,建模波段以涤、棉主要吸收峰区间为基本波段,进行双向扩展,得到最佳波长区间1 100~2 500nm（相关系数0.6,波点数934）。利用所建校正模型对验证集样本进行预测,结果表明,在1 100~2 500nm处,预处理方法为Savitzky-Golay导数、多元散射校正与均值中心化相结合时,该模型评价参数较佳,其中RC（校正集相关系数）0.978,RP（验证集相关系数）0.940,SEC（校正标准差）1.264,SEP（预测标准差）1.590,样品预测正确率达93.4%。表明该定性分析校正模型能够较好地对涤/棉混纺织物进行半定量-定性预测。A series of 376cotton-polyester（PET）blend fabrics were studied by aportable near-infrared（NIR）spectrometer.A NIR semi-quantitative-qualitative calibration model was established by Partial Least Squares（PLS）method combined with qualitative identification coefficient.In this process,PLS method in a quantitative analysis was used as a correction method,and the qualitative identification coefficient was set by the content of cotton and polyester in blend fabrics.Cotton-polyester blend fabrics were identified qualitatively by the model and their relative contents were obtained quantitatively,the model can be used for semi-quantitative identification analysis.In the course of establishing the model,the noise and baseline drift of the spectra were eliminated by Savitzky-Golay（S-G）derivative.The influence of waveband selection and different pre-processing method was also studied in the qualitative calibration model.The major absorption bands of 100% cotton samples were in the 1 400~1 600 nm region,and the one for 100% polyester were around 1 600~1 800 nm,the absorption intensity was enhancing with the content increasing of cotton or polyester.Therefore,the cotton-polyesters major absorption region was selected as the base waveband,the optimal waveband（1 100~2 500nm）was found by expanding the waveband in two directions（the correlation coefficient was 0.6,and wave-point number was 934）.The validation samples were predicted by the calibration model,the results showed that the model evaluation parameters was optimum in the 1 100~2 500 nm region,and the combination of S-G derivative,multiplicative scatter correction（MSC）and mean centering was used as the pre-processing method.RC（relational coefficient of calibration）value was 0.978,RP（relational coefficient of prediction）value was 0.940,SEC（standard error of calibration）value was 1.264,SEP（standard error of prediction）value was 1.590,and the samples recognition accuracy was up to 93.4%.It showed that the cotton-polyester blend

关 键 词：涤/棉混纺织物 近红外光谱 半定量-定性 PLS 

分 类 号：O657.3[理学—分析化学]