Waveband Selection with Stability for FTIR/ATR Spectroscopic Analysis of COD in Sugar Refinery Wastewater

Tao Pan; Peng Zhao Li

doi:10.4028/www.scientific.net/AMR.562-564.220

Paper Titles

Microstructure and Properties of Boronized Layer Produced by Borosulphurizing Method
p.204

Material Texture Contourlet Retrieval by Energy and Variance Distribution Features
p.208

Preparation of Medium-Sized Tungsten Particles via the New Method
p.212

In Situ Observations of Lateral Growth Rate of δ- Phase during Solidification of Fe-0.2%C-0.6%Mn Steel
p.216

Waveband Selection with Stability for FTIR/ATR Spectroscopic Analysis of COD in Sugar Refinery Wastewater
p.220

Effect of Retrogression Time on the Mechanical Properties and Stress Corrosion Cracking Behavior of 7A60 Aluminum Alloy
p.227

Comparison of Thinning Features of a Hot and Cold Stamped Aluminium B-Pillar Model for Passenger Cars
p.234

Grain Refinement of Zn-50Al Alloy through the Addition of Zn–Al-Ti-B-C Master Alloy and Melt Thermal-Rate Treatment
p.238

Effects of Hot Extrusion and Heat Treatment on Mechanical Properties and Microstructures of AZ91 Magnesium Alloy
p.242

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Waveband Selection with Stability for FTIR/ATR...

Waveband Selection with Stability for FTIR/ATR Spectroscopic Analysis of COD in Sugar Refinery Wastewater

Abstract:

Fourier transform infrared spectroscopy (FTIR) and attenuated total reflection (ATR) technology were successfully applied for the rapid no-reagent determination of chemical oxygen demand (COD) in sugar refinery wastewater. An appropriate waveband with stability was selected by the moving window partial least-squares (MWPLS) regression through a rigorous modeling process. The selected waveband was 3198 cm-1 to 2376 cm-1, the corresponding PLS factor was 5. The modeling effect M-SEPAve, M-RP,Ave, M-SEPStd, and M-RP,Std were 31.5 mg/L, 0.962, 3.9 mg/L, and 0.012, respectively. The validation effect V-SEP and V-RP were 31.9 mg/L and 0.965, respectively. It indicated that the method has good prediction effect and stability, and provided valuable references for designing specialized spectroscopic instruments.

You might also be interested in these eBooks

Materials Engineering and Automatic Control

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

220-223

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.220

Citation:

Cite this paper

Online since:

August 2012

Authors:

Tao Pan, Peng Zhao Li

Keywords:

Chemical Oxygen Demand (COD), FTIR/ATR Spectroscopy, Stability, Sugar Refinery Wastewater, Waveband Selection

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] F. M. Mirabella, N. J. Harrick. Internal reflection spectroscopy: review and supplement. New York: Harrick Scientific Corporation (1985).

Google Scholar

[2] R. H. Wilson. Fourier Transform mid-infrared spectroscopy for food analysis. Trac-Trend Anal Chem. Vol. 9 (1990), pp.127-131.

DOI: 10.1016/0165-9936(90)87106-v

Google Scholar

[3] K. Nakanishi, A. Hashimoto, T. Pan, M. Kanou, T. Kameoka. Mid-infrared spectroscopic measurement of ionic dissociative materials in metabolic pathway. Appl Spectrosc. Vol. 57 (2003), pp.1510-1516.

DOI: 10.1366/000370203322640152

Google Scholar

[4] T. Pan, A. Hashimoto, M. Kanou, K. Nakanishi, T. Kameoka. Development of a quantification system of ionic dissociative metabolites using an FT-IR/ATR method. Bioproc Biosyst Eng. Vol. 26 (2003), pp.133-139.

DOI: 10.1007/s00449-003-0343-z

Google Scholar

[5] T. Pan, A. Hashimoto, M. Kanou, K. Nakanishi, T. Kameoka. Mid-infrared spectroscopic quantification of ionic dissociative metabolites based on three spectral extraction methods. Japan J. Food Eng. Vol. 5 (2004), pp.22-31.

DOI: 10.11301/jsfe2000.5.23

Google Scholar

[6] J. M. Chen, T. Pan, X. D. Chen. Application of second derivative spectrum prepares in quantification measuring glucose-6-phosphate and fructose-6-phosphate using a FTIR/ATR method. Opt Precis Eng. Vol. 14 (2006), pp.1-7.

Google Scholar

[7] J. H. Jiang, R. J. Berry, H. W. Siesler, Y. Ozaki. Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data. Anal. Chem. Vol. 74 (2002).

DOI: 10.1021/ac011177u

Google Scholar