Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Modelling of Biodegradtion Kinetics for Binary Mixtures of Substituted Phenols in Sequential Bioreactors |
| Keywords | modellingSBRphenolic mixture degradationkinetic parameters |
| Year | 2013 |
| Type | Contributo in volume |
| DOI | 10.3303/ACOS1311026 |
| Authors | Domenica Mosca Angelucci, M. Cristina Annesini, M. Concetta Tomei |
| Text | 372206 2013 10.3303/ACOS1311026 modelling SBR phenolic mixture degradation kinetic parameters Modelling of Biodegradtion Kinetics for Binary Mixtures of Substituted Phenols in Sequential Bioreactors Domenica Mosca Angelucci, M. Cristina Annesini, M. Concetta Tomei Water Research Institute, C.N.R., Via Salaria km 29.300, CP 10 00016 Monterotondo Stazione Rome Italy Department of Chemical Engineering Materials Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy Water Research Institute, C.N.R., Via Salaria km 29.300, CP 10 00016 Monterotondo Stazione Rome Italy Substituted phenols are extensively produced and utilized in chemical industry and therefore they are largely present in wastewater. In this paper we considered phenolic mixtures which are representative of industrial wastewater, usually containing multiple substrates. In these conditions, degradation process is strongly affected by the complex interactions among substrates, which include enhancement, inhibition and co metabolism so a process model is an useful tool to explore and predict the process evolution. Objective of this work was to formulate a kinetic model for the biodegradation of binary mixtures performed in a sequencing batch reactor SBR . Two model mixtures were investigated a 4 nitrophenol 4NP and 2,4 dimethylphenol 2,4DMP mixture, and a more recalcitrant mixture of 4NP and 2,4 dichlorophenol 2,4DCP . Kinetic tests were performed at different feed concentrations, with single compounds and mixtures and each biodegradation process was kinetically characterized. Haldane equation was utilised to model the substrate inhibited kinetics for single compound while for the mixtures the model was modified with a switching function to account the mutual substrate interaction. The proposed model was initially calibrated with a preliminary set of data to evaluate the best fitting parameters, then validated by simulating different runs with the estimated parameters. Satisfactory results with high correlation coefficients >= 0.98 and reliable predictions were obtained for the two investigated mixtures. SELECTED PAPERS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON CHEMICAL AND PROCESS ENGINEERING 978 88 95608 55 6 Published version Capitolo Contributo in volume domenica.moscaangelucci MOSCA ANGELUCCI DOMENICA mariaconcetta.tomei TOMEI MARIA CONCETTA |