Monitoring wastewater BOD using a non-specific sensor array

Journal of Chemical Technology and Biotechnology

Volumn 74, Issue 11, 1999, Pages 1069-1074

  Stuetz, R M ^a,b   George, S ^a   Fenner, R A ^a   Hall, S J ^a  

^a UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

^b CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

BOD; Conducting polymers; Electronic nose; Monitoring; Sewage; Wastewater

Indexed keywords

CHEMICAL SENSORS; CORRELATION METHODS; MONITORING; NEURAL NETWORKS; WASTEWATER; WASTEWATER TREATMENT;

CANONICAL CORRELATION ANALYSIS; ELECTRONIC NOSE ANALYSIS; LINEAR REDUCTION TECHNIQUE; NEURAL NETWORK ANALYSIS; NON SPECIFIC SENSOR ARRAY; TOTAL ORGANIC CARBON;

BIOCHEMICAL OXYGEN DEMAND;

OXYGEN; POLYMER;

CONTROL SYSTEM; EFFLUENT TREATMENT; MONITORING SYSTEM; NON-INTRUSIVE MEASUREMENT; SENSOR; WASTEWATER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; BIOLOGICAL MONITORING; BIOSENSOR; CORRELATION FUNCTION; EFFLUENT; ELECTRONICS; LINEAR SYSTEM; PREDICTION AND FORECASTING; SEWAGE; TANK; WASTE WATER MANAGEMENT; WATER SAMPLING;

EID: 0032714180     PISSN: 02682575     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-4660(199911)74:11<1069::AID-JCTB154>3.0.CO;2-2     Document Type: Article

References (24)

1. Logan BE and Patnaik R, A gas chromatographic-based headspace biochemical oxygen demand test. Water Environ Res 69:206-213 (1997).
2. Reynolds DM and Ahmad SR, Rapid and direct determination of wastewater BOD values using a fluorescence technique. Water Res 31:2012-2018 (1997).
3. Ellis KV, Surface Water Pollution and its Control, Macmillan Press, London (1989).
4. Karube I, Mitsuda S, Matsunaga T and Suzuki S, A rapid method for estimation of BOD by using immobilized microbial cells. J Ferm Technol 55:243-248 (1977).
5. Dobbs RA, Wise RH and Dean RB, The use of UV absorption measurements for monitoring the total carbon content of water and wastewater. Water Res 6:1123-1130 (1972).
6. st, respiration rate and kinetics of activated sludge. Water Res 31:2278-2286 (1997).
7. Elmholt DJ, Taylor RF and Miseo EV, Emerging chemical sensor technologies for use in on-line applications. ISA Trans 31:67-73 (1992).
8. Brookman SKE, Estimation of biochemical oxygen demand in slurry and effluents using ultra-violet spectrophotometry. Water Res 31:372-374 (1997).
9. Iranpour R, Straub B and Jugo T, Real-time BOD monitoring for wastewater process control. J Environ Engng February: 155-159 (1997).
10. Namdev PK, Alroy Y and Singh V, Sniffing out trouble: use of an electronic nose in bioprocesses. Biotechnol Prog 14:75-78 (1998).
11. Persaud KC, Khaffaf SM, Hobbs PJ and Sneath RW, Assessment of conducting polymer odour sensors for agricultural malodours measurements. Chem Sci 21:495-505 (1998).
12. Misselbrook TM, Hobbs PJ and Persaud KC, Use of an electronic nose to measure odour concentration following application of cattle slurry to glassland. J Agric Engng Res 66:213-220 (1997).
13. Stuetz RM, Engin G and Fenner RA, Sewage odour measurements using a sensory panel and an electronic nose. Wat Sci Technol 38:330-335 (1998).
14. Stuetz RM, White M and Fenner RA, Use of an electronic nose to detect tainting compounds in raw and treated potable water. Aqua 47:223-228 (1998).
15. Gardner JW, Craven M, Dow C and Hines EL, The prediction of bacterial type and culture growth phase by an electronic nose with a multi-layer perceptron network. Meas Sci Technol 9:120-127 (1998).
16. Engin G, Characterisation of sewage and sewage odours by using an electronic nose, MPhil thesis, Department of Civil Engineering, University of Hertfordshire (1997).
17. Greenberg AE, Clesceri LS and Eaton AD, (Eds), 5-Day BOD Test, 5210, in Standard Methods for the Examination of Water and Wastewater, 18th edn, APHA-AWWA-WPCF, Washington DC (1992).
18. Unistat Statistical Package, Version 4.0, Unistat Ltd, London.
19. Gardner JW and Hines EV, Pattern analysis techniques, In Handbook of Biosensors and Electronic Noses, Ed by Kress-Rogers E, CRC Press, Boca Raton. pp 633-652 (1997).
20. TLearn simulator, GNU General Public Licence.
21. Rogers CG, Using artificial neural networks to investigate the relationships between biological oxygen demand and odour measured by an electronic nose, MSc project, Department of Computer Science, University of Hertfordshire (1997).
22. Wilbourn G, An investigation into the use of feed forward neural network in the provision of a mapping function relating electronic nose sensor responses and the biochemical oxygen demand values of sewage samples, MSc project, Department of Computer Science, University of Hertfordshire (1997).
23. Holmberg M, Gustafsson F, Hornsten EG, Winquist F, Nilsson LE, Ljung L and Lundstrom I, Bacteria classification based on feature extraction from sensor data. Biotechnol Techn 12:319-324 (1998).
24. Gibson TD, Prosser O, Hulbert JN, Marshall RW, Corcoran P, Lowery P, Ruck-Keene EA and Heron S, Detection and simultaneous identification of microorganisms from headspace samples using an electronic nose. Sensors & Actuators B 44:413-422 (1997).