摘要
研究采用傅里叶变换近红外光谱仪在近红外区域(750～2500nm)利用线性回归分析的方法测定对二乙基苯纯度。该方法大大缩短样本的检测时间,节约了费用,并且使对二乙基苯的合成过程易于控制。将傅里叶变换近红外光谱对未知样品的预测结果与气相色谱的测定结果进行了比较。在5835cm-1处,最大相关系数为0.9929,预测平均相对误差为2.72%,表明该检测方法是可行的。
Linear regression is used to analyse the NIR spectra (750～2 500 nm) of p-diethylbenzene to determine its purity. This method will greatly reduce the time and expenditure in detecting the sample, and make the synthesizing process of p-diethylbenzene more easy. Compared the results of near-infrared spectra with those of gas chromatogram, it shows that in the wavenumber of 5 835 cm^(-1) the maximum related coefficient (0.992 9) is reached and the average prediction relative error is 2.72%. All results prove the practicability of this method discussed in this paper.
出处
《红外与激光工程》
EI
CSCD
北大核心
2003年第6期580-582,共3页
Infrared and Laser Engineering
关键词
近红外光谱
对二乙基苯
回归分析
气相色谱
Near-infrared spectra
P-diethylbenzene
Regression analysis
Gas chromatogram
