傅里叶红外光谱法结合化学计量学方法区分鉴别塑钢窗

Discrimination and Classification of Plastic Steel Windows by FTIR in Combination with Chemometrics

选取7家公司生产的42种塑钢窗成品,以品牌为单位将其分为7组。选取9号、17号、21号、32号样本作为待判定样本,其余38种样本作为分类鉴别研究对象。用傅里叶红外光谱法对上述样本进行检测,借助Spss统计分析软件,采用Z标准化方法并用系统聚类分析方法对所得光谱信息进行处理。将38种样本分为27类,以此为依据,选择典型判别分析对4种未知样本进行分类,分类正确率为94.6%。

42 samples of plastic steel windows were collected from 7 manufacturing companies, and the samples were divided into 7 groups according to their brands. The samples （9, 17, 21 and 32） used as samples to be distinguished. The remainder 38 samples were used for study on the method of their identification. The above mentioned samples were analyzed by FTIR to obtain their spectra. The spectral informations were then standardized by the Z-method and studied by the method of system cluster analysis and the Spss software of statistic analysis. As shown by the results, the 38 samples were classified into 27 categories. On this basis, the 4 samples to be distinguished were classified by selecting the typical discriminant analysis, and a high rate of classification accuracy of 94.6% was attained.