| 光谱学与光谱分析 |
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| Comparison of Three Spectroscopies for the Determination of Composition of LDPE/PP Blend with Partial Least-Squares |
| CHEN Ru-huang, JIN Gang* |
| National Engineering Research Center of Novel Equipment for Polymer Processing, The Key Laboratory of Polymer Processing Engineering of Ministry of Education, South China University of Technology, Guangzhou 510641, China |
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Abstract This paper presented an application of mid-infrared (MIR), near-infrared (NIR) and Raman spectroscopies for collecting the spectra of 31 kinds of low density polyethylene/polyprolene (LDPE/PP) samples with different proportions. The different pre-processing methods (multiplicative scatter correction, mean centering and Savitzky-Golay first derivative) and spectral region were explored to develop partial least-squares (PLS) model for LDPE, their influence on the accuracy of PLS model also being discussed. Three spectroscopies were compared about the accuracy of quantitative measurement. Consequently, the pre-processing methods and spectral region have a great impact on the accuracy of PLS model, especially the spectra with subtle difference, random noise and baseline variation. After being pre-processed and spectral region selected, the calibration model of MIR, NIR and Raman exhibited R2/RMSEC values of 0.990 6/2.941, 0.997 3/1.561 and 0.997 2/1.598 respectively, which corrsponding to 0.887 6/10.15, 0.849 3/11.75 and 0.875 7/10.67 before any treatment. The results also suggested MIR, NIR and Raman are three strong tools to predict the content of LDPE in LDPE/PP blend. However, NIR and Raman showed higher accuracy after being pre-processed and more suitability to fast quantitative characterization due to their high measuring speed.
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Received: 2014-11-14
Accepted: 2015-04-16
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Corresponding Authors:
JIN Gang
E-mail: pmrdd@scut.edu.cn
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