In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy

Yuan FANG; Zhang-ping HE; Shi-chao ZHU; Xian-rong LIANG; Gang JIN

doi:10.3964/j.issn.1000-0593(2021)09-2759-05

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 9 >Page 2759 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 9, 2759 (2021)

In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy

Yuan FANG, Zhang-ping HE, Shi-chao ZHU, Xian-rong LIANG, and Gang JIN^*;

Author Affiliations

National Engineering Research Center of Novel Equipment for Polymer Processing, Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, Key Laboratory of Polymer Processing Engineering of Ministry of Education, South China University of Technology, Guangzhou 510640, China

show less

DOI: 10.3964/j.issn.1000-0593(2021)09-2759-05 Cite this Article

Yuan FANG, Zhang-ping HE, Shi-chao ZHU, Xian-rong LIANG, Gang JIN. In-Line Identification of Different Grades of GPPS Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2759 Copy Citation Text

show less

References

[3] R Mclauchlin A, O Ghita, A Gahkani. Polymer Testing, 38, 46(2014).

[5] C Marchesi, M Rani, S Federici et al. Materials, 12, 2740(2019).

[6] M Kaihara, M Satoh. Analytical Sciences, 23, 921(2007).

[9] Xiao-yu WU, Lin-ping YAO, Jia LI et al. Journal of Cleaner Production, 246, 118732(2020).

[10] A Verri, F Camastra. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 801(2005).

[12] Z Zacharis N. International Journal of Intelligent Systems and Applications, 10, 1(2018).

[13] S Janizadeh, V Phong T, P Yariyan et al. Water Resources Management, 34, 3037(2020).

[14] L Breiman. Machine Learning, 45, 5(2001).

[15] V Consonni, D Ballabio. Analytical Methods, 5, 3790(2013).

Download Citation

Save the article for my favorites

Paper Information