Abstract
The performance of an activated sludge reactor can be significantly enhanced through use of continuous and real-time process-state monitoring, which avoids the need to sample for off-line analysis and to use chemicals. Despite the complexity associated with wastewater treatment systems, spectroscopic methods coupled with chemometric tools have been shown to be powerful tools for bioprocess monitoring and control. Once implemented and optimized, these methods are fast, nondestructive, user friendly, and most importantly, they can be implemented in situ, permitting rapid inference of the process state at any moment. In this work, UV-visible and NIR spectroscopy were used to monitor an activated sludge reactor using in situ immersion probes connected to the respective analyzers by optical fibers. During the monitoring period, disturbances to the biological system were induced to test the ability of each spectroscopic method to detect the changes in the system. Calibration models based on partial least squares (PLS) regression were developed for three key process parameters, namely chemical oxygen demand (COD), nitrate concentration (N-NO −3 ), and total suspended solids (TSS). For NIR, the best results were achieved for TSS, with a relative error of 14.1% and a correlation coefficient of 0.91. The UV-visible technique gave similar results for the three parameters: an error of ~25% and correlation coefficients of ~0.82 for COD and TSS and 0.87 for N-NO −3 . The results obtained demonstrate that both techniques are suitable for consideration as alternative methods for monitoring and controlling wastewater treatment processes, presenting clear advantages when compared with the reference methods for wastewater treatment process qualification.
Similar content being viewed by others
References
Metcalf and Eddy, Inc., Tchobanoglous G, Burton FL, Stensel HD (2003) Wastewater engineering: treatment and reuse, 4th edn. McGraw-Hill, New York
Maribas A, Silva MDL, Laurent N, Loison B, Battaglia P, Pons MN (2008) Monitoring of rain events with a submersible UV/VIS spectrophotometer. Water Sci Technol 57:1587–1593
Bourgeois W, Burgess JE, Stuetz RM (2001) On-line monitoring of wastewater quality: a review. J Chem Technol Biotechnol 76:337–348
Vaillant S, Pouet MF, Thomas O (1999) Methodology for the characterisation of heterogeneous fractions in wastewater. Talanta 50:729–736
Dias AMA, Moita I, Pascoa R, Alves MM, Lopes JA, Ferreira EC (2008) Activated sludge process monitoring through in situ near-infrared spectral analysis. Water Sci Technol 57:1643–1650
Fogelman S, Zhao HJ, Blumenstein M (2006) A rapid analytical method for predicting the oxygen demand of wastewater. Anal Bioanal Chem 386:1773–1779
Pons MN, Le Bonte S, Potier O (2004) Spectral analysis and fingerprinting for biomedia characterisation. J Biotechnol 113:211–230
Wu J, Pons MN, Potier O (2006) Wastewater fingerprinting by UV-visible and synchronous fluorescence spectroscopy. Water Sci Technol 53:449–456
Mrkva M (1975) Automatic UV-control system for relative evaluation of organic water-pollution. Water Res 9:587–589
Dobbs RA, Dean RB, Wise RH (1972) Use of ultraviolet absorbance for monitoring total organic carbon content of water and wastewater. Water Res 6:1173–1180
Matsche N, Stumwohrer K (1996) UV absorption as control-parameter for biological treatment plants. Water Sci Technol 33:211–218
Thomas O, Theraulaz F, Domeizel M, Massiani C (1993) UV sectral deconvolution—a valuable tool for waste-water quality determination. Environ Technol 14:1187–1192
Langergraber G, Fleischmann N, Hofstaedter F, Weingartner A (2004) Monitoring of a paper mill wastewater treatment plant using UV/VIS spectroscopy. Water Sci Technol 49:9–14
Rieger L, Langergraber G, Siegrist H (2006) Uncertainties of spectral in situ measurements in wastewater using different calibration approaches. Water Sci Technol 53:187–197
El Khorassani H, Trebuchon P, Bitar H, Thomas O (1999) A simple UV spectrophotometric procedure for the survey of industrial sewage system. Water Sci Technol 39:77–82
Thomas O, Theraulaz F, Agnel C, Suryani S (1996) Advanced UV examination of wastewater. Environ Technol 17:251–261
Escalas A, Droguet M, Guadayol JM, Caixach J (2003) Estimating DOC regime in a wastewater treatment plant by UV deconvolution. Water Res 37:2627–2635
Karlsson M, Karlberg B, Olsson RJO (1995) Determination of nitrate in municipal waste-water by UV spectroscopy. Anal Chim Acta 312:107–113
Langergraber G, Fleischmann N, Hofstadter F (2003) A multivariate calibration procedure for UV/VIS spectrometric quantification of organic matter and nitrate in wastewater. Water Sci Technol 47:63–71
Langergraber G, Gupta JK, Pressl A, Hofstaedter F, Lettl W, Weingartner A, Fleischmann N (2004) On-line monitoring for control of a pilot-scale sequencing batch reactor using a submersible UV/VIS spectrometer. Water Sci Technol 50:73–80
Rieger L, Langergraber G, Thomann M, Fleischmann N, Siegrist H (2004) Spectral in-situ analysis of NO2, NO3, COD, DOC and TSS in the effluent of a WWTP. Water Sci Technol 50:143–152
Vaillant S, Pouet MF, Thomas O (2002) Basic handling of UV spectra for urban water quality monitoring. Urban Water 4:273–281
Roggo Y, Chalus P, Maurer L, Lema-Martinez C, Edmond A, Jent N (2007) A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. J Pharm Biomed Anal 44:683–700
Reich G (2005) Near-infrared spectroscopy and imaging: basic principles and pharmaceutical applications. Adv Drug Deliv Rev 57:1109–1143
Stephens AB, Walker PN (2002) Near-infrared spectroscopy as a tool for real-time determination of BOD5 for single-source samples. Trans ASAE 45:451–458
Sousa AC, Lucio MMLM, Bezerra OF, Marcone GPS, Pereira AFC, Dantas EO, Fragoso WD, Araujo MCU, Galvao RKH (2007) A method for determination of COD in a domestic wastewater treatment plant by using near-infrared reflectance spectrometry of seston. Anal Chim Acta 588:231–236
Pascoa RNM, Lopes JA, Lima JLFC (2008) In situ near infrared monitoring of activated dairy sludge wastewater treatment processes. J Near Infrared Spectrosc 16:409–419
Blanco M, Villarroya I (2002) NIR spectroscopy: a rapid-response analytical tool. Trends Anal Chem 21:240–250
Buning-Pfaue H (2003) Analysis of water in food by near infrared spectroscopy. Food Chem 82:107–115
Chen D, Hu B, Shao XG, Su QD (2004) Removal of major interference sources in aqueous near-infrared spectroscopy techniques. Anal Bioanal Chem 379:143–148
Marquez MC, Costa C, Jul M (2004) Kinetics and effects of hydraulic residence time and biomass concentration on removal of organic pollutants in a continuous unsteady state activated sludge process. Chem Biochem Eng Q 18:423–428
APHA, AWWA, WPC (1989) Standard methods for the examination of water and wastewater. American Public Health Association/American Water Works Association/Water Pollution Control, Washington, DC
Geladi P, Kowalski BR (1986) Partial least-squares regression—a tutorial. Anal Chim Acta 185:1–17
Miller CE (2000) Chemometrics for on-line spectroscopy applications—theory and practice. J Chemometrics 14:513–528
Wehrens R, VanderLinden WE (1997) Bootstrapping principal component regression models. J Chemometrics 11:157–171
Sarraguça MC, Lopes JA (2009) Quality control of pharmaceuticals with NIR: from lab to process line. Vib Spectrosc 49:204–210
Gerardi MH (2002) Nitrification and denitrification in the activated sludge process. Wiley, New York
Dias AMA, Ferreira EC (2009) Computational intelligence techniques for supervision and diagnosis of biological wastewater treatment systems. In: do Carmo Nicoletti M, Jain LC (eds) Computational intelligence techniques for bioprocess modelling, supervision and control. Springer, Berlin, pp 127–162
Acknowledgments
The authors acknowledge the financial support from Fundação para a Ciência e Tecnologia (FCT) through project PPCDT/AMB/60141/2004. M.C. Sarraguça acknowledges the financial support from Fundação para a Ciência e Tecnologia (FCT) through Ph.D. grant SFRH/BD/32614/2006.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sarraguça, M.C., Paulo, A., Alves, M.M. et al. Quantitative monitoring of an activated sludge reactor using on-line UV-visible and near-infrared spectroscopy. Anal Bioanal Chem 395, 1159–1166 (2009). https://doi.org/10.1007/s00216-009-3042-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00216-009-3042-z