Quantitative analysis of ammonium salts in coking industrial liquid waste treatment process based on Raman spectroscopy

doi:10.1088/1674-1056/25/10/107403

Abstract Quantitative analysis of ammonium salts in the process of coking industrial liquid waste treatment is successfully performed based on a compact Raman spectrometer combined with partial least square (PLS) method. Two main components (NH₄SCN and (NH₄)₂S₂O₃) of the industrial mixture are investigated. During the data preprocessing, wavelet denoising and an internal standard normalization method are employed to improve the predicting ability of PLS models. Moreover, the PLS models with different characteristic bands for each component are studied to choose a best resolution. The internal and external calibration results of the validated model show a mass percentage error below 1% for both components. Finally, the repeatabilities and reproducibilities of Raman and reference titration measurements are also discussed.

Keywords: Raman spectroscopy wavelet denoising partial least square regression ammonium salts

Received: 04 May 2016
Revised: 26 May 2016
Accepted manuscript online:

PACS:

74.25.nd

(Raman and optical spectroscopy)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 41405022 and 61475068).

Corresponding Authors: Gui-Shi Wang, Tu Tan
E-mail: gswang@aiofm.ac.cn;tantu@aiofm.ac.cn

Cite this article:

Ya-Nan Cao(曹亚南), Gui-Shi Wang(王贵师), Tu Tan(谈图), Ting-Dong Cai(蔡廷栋), Kun Liu(刘锟), Lei Wang(汪磊), Gong-Dong Zhu(朱公栋), Jiao-Xu Mei(梅教旭) Quantitative analysis of ammonium salts in coking industrial liquid waste treatment process based on Raman spectroscopy 2016 Chin. Phys. B 25 107403

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Quantitative analysis of ammonium salts in coking industrial liquid waste treatment process based on Raman spectroscopy

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