Academic literature on the topic 'Integrative bioprocess'
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Journal articles on the topic "Integrative bioprocess"
Delvigne, Frank, Ralf Takors, Rob Mudde, Walter van Gulik, and Henk Noorman. "Bioprocess scale-up/down as integrative enabling technology: from fluid mechanics to systems biology and beyond." Microbial Biotechnology 10, no. 5 (August 14, 2017): 1267–74. http://dx.doi.org/10.1111/1751-7915.12803.
Full textVillegas-Méndez, Miguel Ángel, Julio Montañez, Juan Carlos Contreras-Esquivel, Iván Salmerón, Apostolis Koutinas, and Lourdes Morales-Oyervides. "Coproduction of Microbial Oil and Carotenoids within the Circular Bioeconomy Concept: A Sequential Solid-State and Submerged Fermentation Approach." Fermentation 8, no. 6 (May 28, 2022): 258. http://dx.doi.org/10.3390/fermentation8060258.
Full textRodrigues, Carlos J. C., and Carla C. C. R. de Carvalho. "Marine Bioprospecting, Biocatalysis, and Process Development." Microorganisms 10, no. 10 (October 5, 2022): 1965. http://dx.doi.org/10.3390/microorganisms10101965.
Full textBayer, B., B. Sissolak, M. Duerkop, M. von Stosch, and G. Striedner. "The shortcomings of accurate rate estimations in cultivation processes and a solution for precise and robust process modeling." Bioprocess and Biosystems Engineering 43, no. 2 (September 20, 2019): 169–78. http://dx.doi.org/10.1007/s00449-019-02214-6.
Full textAguilar, Francisco, Thomas Scheper, and Sascha Beutel. "Improved Production and In Situ Recovery of Sesquiterpene (+)-Zizaene from Metabolically-Engineered E. coli." Molecules 24, no. 18 (September 15, 2019): 3356. http://dx.doi.org/10.3390/molecules24183356.
Full textIgnova, M., J. Glassey, G. A. Montague, A. C. Ward, and A. J. Morris. "Knowledge integration for improved bioprocess supervision." Annual Review in Automatic Programming 19 (January 1994): 269–73. http://dx.doi.org/10.1016/0066-4138(94)90077-9.
Full textZerajic, Stanko, Dragan Cvetkovic, and Ilija Mladenovic. "Modeling and simulation of the bioprocess with recirculation." Chemical Industry 61, no. 5 (2007): 263–71. http://dx.doi.org/10.2298/hemind0704263z.
Full textGaden, Elmer L. "Bioprocess Integration: Long-Range Problems and Prospects." Biotechnology Progress 2, no. 4 (December 1986): D2. http://dx.doi.org/10.1002/btpr.5420020402.
Full textSatish Kumar, R., B. Nageswara Rao, M. Prameela, S. Peniel Pauldoss, Amol L. Mangrulkar, Saleh H. Salmen, Sami Al Obaid, S. Sappireamaniyan, and Kibrom Menasbo Hadish. "Assessment of Bioprocess Development-Based Modeling and Simulation in a Sustainable Environment." International Journal of Photoenergy 2022 (May 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/6428740.
Full textYin, Dong-Ya, Jiang Pan, Jie Zhu, You-Yan Liu, and Jian-He Xu. "A green-by-design bioprocess for l-carnosine production integrating enzymatic synthesis with membrane separation." Catalysis Science & Technology 9, no. 21 (2019): 5971–78. http://dx.doi.org/10.1039/c9cy01622h.
Full textDissertations / Theses on the topic "Integrative bioprocess"
Couperthwaite, Jennifer. "Integrating Microbial Fuel Cells (MFCs) into the treatment of sulphate-rich wastewater." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20536.
Full textOlaofe, Oluwafemi Ayokunle. "Process integration in the optimisation of amidase production from recombinant Escherichia coli." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/10857.
Full textIncludes bibliographical references (p. 127-138).
This thesis presents the investigation of the production of a novel thermostable amidase (EC 3.5.1.4) from Geobacillus pallidus RAPc8 using recombinant E.coli BL21 (DE3). The choice of growth medium and induction strategy were optimised under bioreactor conditions to enhance amidase productivity. Further, expanded bed adsorption (EBA) was assessed as a tool for minimising the unit operations in the amidase purification train. The EBA process can integrate up to four steps by merging processes involved in centrifugation, microfiltration and initial adsorption into one unit operation.
Silveira, Christian Luiz da. "MODELAGEM DE PROCESSOS ENZIMÁTICOS E FERMENTATIVOS USANDO OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS." Universidade Federal de Santa Maria, 2015. http://repositorio.ufsm.br/handle/1/7992.
Full textThe process modeling and simulation is a greatly important procedure for many chemical and biotechnological processes. The process simulation allows to predict elementary behavior of the state variables of the process, leading to many economical and process advantages, such as the avoidance of losses of time and materials for not knowing the process particularities, the safety guarantee, the product quality, and, mostly the process optimization, permitting to study and to reach the best conditions of a process, which shall yield in more products with quality produced with less effort and expenditures. In this work, the modeling and simulation of two biological processes enzymatic hydrolysis and solid state fermentation were performed in order to develop models and estimate parameters that enable an engineer to predict the process behavior and to make decisions about the process. The modeling procedure also involves the computing of differential equations, and algebraic-differential equations; in this manner, the engineer must be able to use different numerical integration methods. Mainly two parameters estimation procedures were used Particle-Swarm Optimization and Levenberg-Marquardt -, and two numerical integration methods were also resorted Runge-Kutta and Dormand-Prince. Experimental data from previous works were used to perform several tests in order to assure that the models were predicting correctly the state variables of the process and, in this manner, were reliable and useful. In the first paper, several mechanistic and empirical models are tested to fit the enzymatic hydrolysis experimental data; statistical tests were performed to verify which of those models would best describe the process, which was found to be and entirely empirical non-autonomous model. The following papers are about the modeling of the solid-state fermentation process. The model was found to be very accurate and adequate to be used for predictions, mainly for the bed temperature of the packed-bed bioreactor, since it could predict the temperature gradients along the time and height of the bed. Also, some numerical procedures such as parameters identifiability, to realize which were the most important parameters to be estimated, and model reparametrization, to reduce the total number of parameters to be estimated and avoid magnitude problems of the model, were successfully performed. This work has shown that the modeling and simulation of processes holds an enormous importance for industry, and different techniques can be applied with more or less effort and success. Further, hopefully, this work has contributed to the state of the art of modeling, in a general way, for biological processes.
A modelagem e a simulação de processos consistem em um recurso de grande importância para diversos processos químicos e biotecnológicos. A simulação de processos nos permite predizer o comportamento das variáveis de estado do processo, levando-nos a vantagens técnicas e econômicas, como, por exemplo, a prevenção de perdas de tempo e insumos por não conhecer particularidades do processo, a garantia de segurança, a qualidade do produto e, principalmente, a otimização do processo, permitindo estudar e alcançar as melhores condições para o referido processo, o que deve culminar em mais produto produzido com melhor qualidade e com menos esforços e custos. Neste trabalho, a modelagem e a simulação de dois processos biotecnológicos hidrólise enzimática e fermentação em estado sólido foram feitas com a validação dos modelos propostos com dados experimentais através da técnica de estimação de parâmetros para permitir ao engenheiro prever o comportamento do processo e tomar decisões. O procedimento de modelagem também envolve a avaliação de equações diferenciais e de equações algébricas, dessa forma, o engenheiro deve estar apto a usar diferentes métodos de integração numérica. Dois procedimentos principais de estimação de parâmetros foram utilizados Otimização por Enxame de Partículas e Levenberg-Marquardt -, e se lançou mão de dois métodos de integração numérica, Runge-Kutta e Dormand-Prince. Dados experimentais de trabalhos anteriores foram utilizados para realizar diversos testes para assegurar a precisão dos modelos em predizer as variáveis de estado do processo e, portanto, serem modelos confiáveis e úteis. No primeiro artigo apresentado, diversos modelos mecanicísticos e empíricos foram testados para se ajustarem aos dados experimentais da hidrólise enzimática; testes estatísticos foram realizados para verificar qual dos modelos melhor descreveria o processo, de forma que o melhor modelo se mostrou ser um modelo totalmente empírico não-autônomo. Os demais artigos tratam da modelagem de um processo de fermentação em estado sólido. Verificou-se que o modelo é bastante preciso e adequado para o uso em predições, principalmente para o perfil de temperatura no leito do biorreator, uma vez que o modelo prevê os gradientes de temperatura ao longo do tempo e da altura do leito. Também, procedimentos numéricos, tais como a análise de identifiabilidade dos parâmetros, para a percepção de quais são os parâmetros mais importantes para a estimação, e a reparametrização do modelo, para reduzir o número total de parâmetros a serem estimados e evitar problemas de magnitude no modelo, foram empregadas com sucesso. Este trabalho mostrou que a modelagem e a simulação de processos possuem enorme importância para a indústria, e diferentes técnicas podem ser aplicadas com maior ou menor esforço e sucesso. Além disso, espera-se que o trabalho tenha contribuído para o estado da arte em modelagem, de uma maneira geral, na área de bioprocessos.
Gavigan, Genevieve Marie. "Integrating controlled delivery of TAT-HOXB4 into a closed-system human blood stem cell expansion bioprocess." 2007. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=788986&T=F.
Full textBooks on the topic "Integrative bioprocess"
Sengupta, Debalina. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2012.
Find full textPike, Ralph W., and Debalina Sengupta. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2012.
Find full textPike, Ralph W., and Debalina Sengupta. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2017.
Find full textPike, Ralph W., 1935- author, ed. Chemicals from biomass: Integrating bioprocesses into chemical production complexes for sustainable development. CRC Press, 2012.
Find full textPike, Ralph W., and Debalina Sengupta. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2012.
Find full textBook chapters on the topic "Integrative bioprocess"
Nikhil, G. N., Omprakash Sarkar, and S. Venkata Mohan. "Biohydrogen Production: An Outlook of Fermentative Processes and Integration Strategies." In Optimization and Applicability of Bioprocesses, 249–65. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6863-8_12.
Full textClay, Sylvia M., and Stephen S. Fong. "Integrating Systems and Synthetic Biology." In Developing Biofuel Bioprocesses Using Systems and Synthetic Biology, 47–60. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5580-6_6.
Full textLee, Sang Yup, and Jin Hwan Park. "Integration of Systems Biology with Bioprocess Engineering: l-Threonine Production by Systems Metabolic Engineering of Escherichia Coli." In Biosystems Engineering I, 1–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/10_2009_57.
Full textIgnova, M., J. Glassey, G. A. Montague, A. J. Morris, and A. C. Ward. "Knowledge Integration for Improved Bioprocess Supervision." In Artificial Intelligence in Real-Time Control 1994, 269–73. Elsevier, 1995. http://dx.doi.org/10.1016/b978-0-08-042236-7.50046-8.
Full textNazemzadeh, Nima, Laura Wind Sillesen, Rasmus Fjordbak Nielsen, Mark Nicholas Jones, Krist V. Gernaey, Martin P. Andersson, and Seyed Soheil Mansouri. "Integration of Computational Chemistry and Artificial Intelligence for Multi-scale Modeling of Bioprocesses." In Computer Aided Chemical Engineering, 295–300. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-823377-1.50050-1.
Full textNeubauer, Peter, Emmanuel Anane, Stefan Junne, and Mariano Nicolas Cruz Bournazou. "Potential of Integrating Model-Based Design of Experiments Approaches and Process Analytical Technologies for Bioprocess Scale-Down." In Advances in Biochemical Engineering/Biotechnology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/10_2020_154.
Full textConference papers on the topic "Integrative bioprocess"
Tamagawa, Masaaki, and Ichiro Yamanoi. "Analysis of Deformation Process of a Bubble in a Cell Model by Shock Wave for Developing Drug Delivery Systems." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59675.
Full textSurvyla, Arnas, Renaldas Urniezius, Vygandas Vaitkus, Donatas Levisauskas, Lina Jankauskaite, Dovile Lukminaite, and Goda Laucaityte. "Noninvasive Continuous Tracking of Partial Pressure of Oxygen in Arterial Blood: Adapting Microorganisms Bioprocess Soft Sensor Technology for Holistic Analysis of Human Respiratory System." In 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, 2021. http://dx.doi.org/10.1109/mfi52462.2021.9591182.
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