Mathematical modeling of estrogen degradation in enzymatic membrane reactor (2019)
- Authors:
- USP affiliated authors: GOMES, FABRÍCIO MACIEL - EEL ; PEREIRA, FÉLIX MONTEIRO - EEL ; CARVALHO, CAMILA LIMA DE SOUZA - EEL
- Unidade: EEL
- Assunto: ENZIMAS
- Keywords: Modelo Matemático; mathematical modeling; endocrine diruptor chemical; enzymatic membrane reactor
- Language: Inglês
- Abstract: Estrogens are endocrine disrupting chemicals (EDCs) that achieve the waterbodies by our wastewater. Due this, some countries are creating legislations aiming the development of processes to degrade EDCs in wastewater treatment plants. Some processes in literature suggests the use of laccase, a multicopper polyphenol oxidase enzyme present in many organisms, to degrade EDCs. This work presents the mathematical modeling of EDCs degradation by laccase in an enzymatic membrane reactor (EMR). The purposed kinetic models were assessed using the Akaike Information Criteria (AIC) in order to reliable models getting and parameters with statistically signification, aiming to describe the behavior of experimental data from six experiments presented in literature. These experiments were performed variating the residence time and the interval of oxygenation pulse during the EMR operation. The results indicating that the kinetic models assessed using AIC were able to represents the EDCs degradation into EMR, presenting good adjustments to experimental data and estimated parameters statistically significant. The estimated values for kinetic parameters indicating that the better condition for EMR operation was the use of a residence time of 4 h and oxygen pulse of 0.5 h.
- Imprenta:
- Publisher: SINAFERM
- Publisher place: Uberlândia - MG
- Date published: 2019
- Source:
- Título: Anais do XXII Simpósio Nacional de Bioprocessos (SINAFERM) XIII Enzymatic Hydrolysis of Biomass Symposium (SHEB)
- ISSN: 2447-2816
- Volume/Número/Paginação/Ano: p.1, 2019
-
ABNT
CARVALHO, Camila Lima de Souza e GOMES, Fabrício Maciel e PEREIRA, Félix Monteiro. Mathematical modeling of estrogen degradation in enzymatic membrane reactor. 2019, Anais.. Uberlândia - MG: SINAFERM, 2019. p. 1. Disponível em: https://proceedings.science/user/login/ashnazg?destination=/sinaferm/sinaferm-sheb-2019/trabalhos/mathematical-modeling-of-estrogen-degradation-in-enzimatic-membrane-reactor%3Flang%3Dpt-br%23download-paper&lang=pt-br. Acesso em: 05 nov. 2024. -
APA
Carvalho, C. L. de S., Gomes, F. M., & Pereira, F. M. (2019). Mathematical modeling of estrogen degradation in enzymatic membrane reactor. In Anais do XXII Simpósio Nacional de Bioprocessos (SINAFERM) XIII Enzymatic Hydrolysis of Biomass Symposium (SHEB) (p. 1). Uberlândia - MG: SINAFERM. Recuperado de https://proceedings.science/user/login/ashnazg?destination=/sinaferm/sinaferm-sheb-2019/trabalhos/mathematical-modeling-of-estrogen-degradation-in-enzimatic-membrane-reactor%3Flang%3Dpt-br%23download-paper&lang=pt-br -
NLM
Carvalho CL de S, Gomes FM, Pereira FM. Mathematical modeling of estrogen degradation in enzymatic membrane reactor [Internet]. Anais do XXII Simpósio Nacional de Bioprocessos (SINAFERM) XIII Enzymatic Hydrolysis of Biomass Symposium (SHEB). 2019 ;1.[citado 2024 nov. 05 ] Available from: https://proceedings.science/user/login/ashnazg?destination=/sinaferm/sinaferm-sheb-2019/trabalhos/mathematical-modeling-of-estrogen-degradation-in-enzimatic-membrane-reactor%3Flang%3Dpt-br%23download-paper&lang=pt-br -
Vancouver
Carvalho CL de S, Gomes FM, Pereira FM. Mathematical modeling of estrogen degradation in enzymatic membrane reactor [Internet]. Anais do XXII Simpósio Nacional de Bioprocessos (SINAFERM) XIII Enzymatic Hydrolysis of Biomass Symposium (SHEB). 2019 ;1.[citado 2024 nov. 05 ] Available from: https://proceedings.science/user/login/ashnazg?destination=/sinaferm/sinaferm-sheb-2019/trabalhos/mathematical-modeling-of-estrogen-degradation-in-enzimatic-membrane-reactor%3Flang%3Dpt-br%23download-paper&lang=pt-br - Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions
- Estudo comparativo entre os métodos gradiente reduzido generalizado e algoritmo genético em otimização com múltiplas respostas
- Aplicação do método de Monte Carlo para previsão do índice de Overall Equipment Effectiveness de uma máquina produtora de celulose
- Comparative study between different methods of agglutination in multiple response optimization
- Comparison of financial results of companies with different production systems: a case study of lean manufacturing and industry 4.0
- Optimisation of Multiple Response Processes Using Different Modeling Techniques
- Comparative Highly Efficient Production of β-glucan by Lasiodiplodia theobromae CCT 3966 and Its Multiscale Characterization
- Lean manufacturing in continuous manufacturing systems: a literature review
- Contributions to the future of metaheuristics in the contours of scientific development
- Using statistical techniques to validate the hypothesis of independence in control charts
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
