http://www.cnr.it/ontology/cnr/individuo/prodotto/ID72155
Bio-degradation of Phenol in wastewater by enzyme-loaded membrane reactor: Numerical approach (Articolo in rivista)
- Type
- Label
- Bio-degradation of Phenol in wastewater by enzyme-loaded membrane reactor: Numerical approach (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
Choi, S.H., Scura, F., Barbieri, G., Mazzei, R., Giorno, L., Drioli, E., Kim, J-H. (2009)
Bio-degradation of Phenol in wastewater by enzyme-loaded membrane reactor: Numerical approach
in Korean Membrane Journal
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Choi, S.H., Scura, F., Barbieri, G., Mazzei, R., Giorno, L., Drioli, E., Kim, J-H. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.dbpia.co.kr/Article/1009963 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- National Research Council - Institute on Membrane Technology (ITM-CNR), via Pietro BUCCI, c/o The University of
Calabria, cubo 17C, 87030 Rende (CS), Italy
**The University of Calabria - Department of Chemical Engineering and Materials, via Pietro BUCCI, cubo 44A, 87030
Rende (CS), Italy
***The University of Calabria - Department of Ecology, via Pietro BUCCI, 87030 Rende (CS), Italy
****Environment & Resources Research Center, Green Chemistry Division, Korea Research Institute of Chemical Technology
(KRICT), P.O BOX 107, Yuseong-gu, Daejeon 305-600, Korea (literal)
- Titolo
- Bio-degradation of Phenol in wastewater by enzyme-loaded membrane reactor: Numerical approach (literal)
- Abstract
- A mathematical model was written for simulating the removal of phenol from wastewater in enzyme-loaded
membrane reactor (EMR). The numerical simulation program was developed so as to predict the degradation of phenol
through an EMR. Numerical model proves to be effective in searching for optimal operating conditions and creating an optimal
microenvironment for the biocatalyst in order to optimize productivity. In this study, several dimensionless parameters
such as Thiele Modulus (?
2
), dimensionless Michaelis-Menten constant (?), Peclet number (Pe) were introduced to simplify
their effects on system efficiency. In particular, the study of phenol conversion at different feed compositions shows that low
phenol concentrations and high Thiele Modulus values lead to higher reactant degradation. (literal)
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