Análise da biorremediação de compostos monoaromáticos em água através da pseudomonas aeruginosa
The monoaromatic compounds are toxic substances present in petroleum derivades and used broadly in the chemical and petrochemical industries. Those compounds are continuously released into the environment, contaminating the soil and water sources, leading to the possible unfeasibility of those hy...
保存先:
第一著者: | |
---|---|
その他の著者: | |
フォーマット: | Dissertação |
言語: | por |
出版事項: |
Universidade Federal do Rio Grande do Norte
|
主題: | |
オンライン・アクセス: | https://repositorio.ufrn.br/jspui/handle/123456789/21045 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
要約: | The monoaromatic compounds are toxic substances present in petroleum
derivades and used broadly in the chemical and petrochemical industries. Those
compounds are continuously released into the environment, contaminating the soil and
water sources, leading to the possible unfeasibility of those hydrous resources due to
their highly carcinogenic and mutagenic potentiality, since even in low concentrations,
the BTEX may cause serious health issues. Therefore, it is extremely important to
develop and search for new methodologies that assist and enable the treatment of
BTEX-contaminated matrix. The bioremediation consists on the utilization of microbial
groups capable of degrading hydrocarbons, promoting mineralization, or in other words,
the permanent destruction of residues, eliminating the risks of future contaminations.
This work investigated the biodegradation kinetics of water-soluble monoaromatic
compounds (benzene, toluene and ethylbenzene), based on the evaluation of its
consummation by the Pseudomonas aeruginosa bacteria, for concentrations varying
from 40 to 200 mg/L. To do so, the performances of Monod kinetic model for microbial
growth were evaluated and the material balance equations for a batch operation were
discretized and numerically solved by the fourth order Runge-Kutta method. The kinetic
parameters obtained using the method of least squares as statistical criteria were
coherent when compared to those obtained from the literature. They also showed that,
the microorganism has greater affinity for ethylbenzene. That way, it was possible to
observe that Monod model can predict the experimental data for the individual
biodegradation of the BTEX substrates and it can be applied to the optimization of the
biodegradation processes of toxic compounds for different types of bioreactors and for
different operational conditions. |
---|