Measurement of COD for Sugar Refinery Wastewater Using FTIR/ATR Spectroscopy with Stability

Abstract:

Fourier transform infrared spectroscopy (FTIR) and attenuated total reflection (ATR) technology combined with the partial least squares (PLS) regression were successfully applied for the rapid no-reagent determination of chemical oxygen demand (COD) for sugar refinery wastewater. Among 105 samples, 45 samples were randomly selected as the validation set. The remaining 60 samples were divided into the calibration set (40 samples) and the prediction set (20 samples) for a total of 30 times with certain similarities. The appropriate model with stability was established on the waveband of 4500 cm^-1 to 600 cm^-1. The optimal PLS factor was 4, the modeling effect M-SEP_Ave, M-R_P,Ave, M-SEP_Std, and M-R_P,Std were 38.1 mg/L, 0.944, 3.2 mg/L, and 0.013, respectively, the validation effect V-SEP and V-R_P were 38.2 mg/L and 0.949, respectively, which has good prediction effect and stability. The results provide a reliable analytical model for the monitoring of COD in sugar refinery wastewater.

• Periodical: Advanced Materials Research (Volumes 482-484)
• Pages: 2307-2310
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.482-484.2307
• Online since: February 2012
• Authors: Tao Pan, Peng Zhao Li, Jun Xie
• Keywords: Chemical Oxygen Demand (COD), FTIR/ATR Spectroscopy, Stability, Sugar Refinery Wastewater

References

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

[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

[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

[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

[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

[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

[7] H. W. Wang. Partial least square regression method and application. Beijing: National Defense Industry Press (1999)

[8] D. A. Burns and E. W Ciurczak. Handbook of Near-infrared Analysis, 2nd Ed. New York: Marcel Dekker Inc (2001)