Modelling of the extractive membrane bioreactor process based on natural fluorescence fingerprints and process operation history

Water Science and Technology

Volumn 51, Issue 6-7, 2005, Pages 51-58

  Wolf, G ^a   Almeida, J S ^b   Reis, M A M ^a   Crespo, J G ^a  

^a DEPARTAMENTO DE QUÍMICA   (Portugal)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Artificial neural networks; Extractive membrane bioreactor; Natural fluorometry; Non linear modelling; Non mechanistic modeling; Process operation history

Indexed keywords

BIOFILMS; BIOLOGICAL MEMBRANES; BIOREACTORS; FLUORESCENCE;

ARTIFICIAL NEURAL NETWORKS (ANN); EXTRACTIVE MEMBRANE BIOREACTOR (EMB); NATURAL FLUORESCENCE FINGERPRINTS;

NEURAL NETWORKS;

MEMBRANE;

ANALYTIC METHOD; ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOFILM; BIOREACTOR; CONTROLLED STUDY; DATA ANALYSIS; DYNAMICS; FLUORESCENCE ANALYSIS; HISTORY; MEMBRANE REACTOR; NON INVASIVE MEASUREMENT; NONLINEAR SYSTEM; ONLINE MONITORING; PREDICTION; PROCESS MODEL; PROCESS TECHNOLOGY; REACTOR OPERATION; SENSITIVITY ANALYSIS;

EID: 21244497267     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2005.0621     Document Type: Article

References (10)

1. Almeida, J.S. (2002). Predictive non-linear modelling of complex data by artificial neural networks. Curr. Opin. Biotechnol., 13(1), 72-76.
2. Freitas dos Santos, L.M. and Livingston, A.G. (1993). A novel bioreactor system for the destruction of volatile organic compounds. Appl Microbiol Biotechnol., 40, 151-157.
3. Morgenroth, E., van Loosdrecht, M.C.M and Wanner, O. (2000). Biofilm models for the practitioner. Wat. Sci. Technol., 41(4-5), 509-512.
4. Nicolella, C., Pavasant, P. and Livingston, A.G. (2000). Substrate counterdiffusion and reaction in membrane-attached biofilms: mathematical analysis of rate limiting mechanisms. Chem. Eng. Sci., 55, 1385-1398.
5. Pavasant, P. (1997). Modelling of the extractive membrane bioreactor process. PhD Thesis, Imperial College of Science, Technology and Medicine, London, UK.
6. Pavasant, P., Freitas dos Santos, L.M., Pistikopoulos, E.N. and Livingston, A.G. (1996). Prediction of optimal biofilm thickness for membrane attached biofilms. Biotechnol. Bioeng., 52, 373-386.
7. Pavasant, P., Pistikopoulos, E.N. and Livingston, A.G. (1997). Prediction of axial concentration profiles in an extractive membrane bioreactor. J. Membr. Sci., 130, 85-98.
8. Wolf, G. (2003). Monitoring and modelling of membrane supported biofilm reactors in industrial effluent treatment. PhD thesis, Department of Chemistry, Universidade Nova de Lisboa, Portugal.
9. Wolf, G., Almeida, J.S., Pinheiro, C., Correia, V., Rodrigues, C., Reis, M.A.M. and Crespo, J.G. (2001). Two-dimensional fluorometry coupled with artificial neural networks: a novel method for on line monitoring of complex biological processes. Biotechnol. Bioeng., 72(3), 297-306.
10. Wolf, G., Almeida, J.S., Reis, M.A.M. and Crespo, J.G (2004). Non-mechanistic modelling of complex biofilm reactors and the role of process operation history (in preparation).