选取38份实验室自制二甲基二烯丙基氯化铵与丙烯酰胺的共聚物（PDA）为样品， 用紫外光谱法对PDA中残留丙烯酰胺（AM）含量进行测定， 并进行近红外光谱扫描， 在图谱中选取七个波段， 将每个波段的特征峰作为自变量， 吸收峰作为因变量， 采用偏最小二乘法（PLS）的数学转换方法建立近红外反射光谱（NIRS）定标模型， 采用小波分析对光谱进行降噪处理， 建立PDA中残留AM含量的近红外预测模型， 并将预测值与紫外光谱法测定值进行比较， 其外部验证决定系数达到0.99， 预测分布趋势良好， 对预测值与实测值进行t检验， 结果显示预测值与实测值差异不显著。 试验结果表明， 采用近红外光谱数据建立的定标模型预测PDA中残留AM单体含量具有较高可行性。

In the present study, near infrared reflectance spectroscopy(NIRS) was used as a rapid and accurate method to determine the residual of acrylamide monomer in the product of diallyl dimethyl ammonium chloride and acrylamide. In this experiment 38 products were used which were self-prepared in the laboratory, then near infrared spectra of the product were scanned, seven bands were selected, the characteristic peaks of each band were used as the independent variables, and the absorption peak was used as the dependent variable, using partial least squares (PLS) method to establish the mathematical conversion near infrared reflectance spectroscopy (NIRS) calibration model. In the analysis of the spectrum, using wavelet analysis as the method of reducing the noise of spectrum, and with comparison of the simulated value and measured value, the measured value was determined by using UV spectrum, the external validation determination coefficient was found to be 0.99, and the distribution trend forecast was good. Statistics showed that there was no significant difference between simulated value and measured value. The results show that using the calibration model established by the data of near infrared spectroscopy to predict the residual AM monomer in PDA is of high feasibility.