Готові списки джерел за темами / Integrative bioprocess

Добірка наукової літератури з теми "Integrative bioprocess"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Integrative bioprocess"

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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.

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2

Villegas-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.

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The main objective of integrative biorefinery platforms is to propose efficient green methodologies addressed to obtain high-value compounds with low emissions through biochemical conversions. This work first screened the capacity of various oleaginous yeast to cosynthesize high-value biomolecules such as lipids and carotenoids. Selected strains were evaluated for their ability to coproduce such biocompounds in the waste-based media of agro-food (brewer’s spent grain, pasta processing waste and bakery waste). Carbon and nitrogen source feedstock was obtained through enzymatic hydrolysis of the agro-food waste, where up to 80% of total sugar/starch conversion was obtained. Then, the profitability of the bioprocess for microbial oil (MO) and carotenoids production by Sporobolomyces roseus CFGU-S005 was estimated via simulation using SuperPro Designer®. Results showed the benefits of establishing optimum equipment scheduling by identifying bottlenecks to increase profitability. Sensitivity analysis demonstrated the impact of MO price and batch throughput on process economics. A profitable process was achieved with a MO batch throughput of 3.7 kg/batch (ROI 31%, payback time 3.13 years). The results revealed areas that require further improvement to achieve a sustainable and competitive process for the microbial production of carotenoids and lipids.
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Rodrigues, 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.

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Oceans possess tremendous diversity in microbial life. The enzymatic machinery that marine bacteria present is the result of extensive evolution to assist cell survival under the harsh and continuously changing conditions found in the marine environment. Several bacterial cells and enzymes are already used at an industrial scale, but novel biocatalysts are still needed for sustainable industrial applications, with benefits for both public health and the environment. Metagenomic techniques have enabled the discovery of novel biocatalysts, biosynthetic pathways, and microbial identification without their cultivation. However, a key stage for application of novel biocatalysts is the need for rapid evaluation of the feasibility of the bioprocess. Cultivation of not-yet-cultured bacteria is challenging and requires new methodologies to enable growth of the bacteria present in collected environmental samples, but, once a bacterium is isolated, its enzyme activities are easily measured. High-throughput screening techniques have also been used successfully, and innovative in vitro screening platforms to rapidly identify relevant enzymatic activities continue to improve. Small-scale approaches and process integration could improve the study and development of new bioprocesses to produce commercially interesting products. In this work, the latest studies related to i. the growth of marine bacteria under laboratorial conditions, ii. screening techniques for bioprospecting, and iii. bioprocess development using microreactors and miniaturized systems are reviewed and discussed.
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4

Bayer, 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.

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Abstract The accurate estimation of cell growth or the substrate consumption rate is crucial for the understanding of the current state of a bioprocess. Rates unveil the actual cell status, making them valuable for quality-by-design concepts. However, in bioprocesses, the real rates are commonly not accessible due to analytical errors. We simulated Escherichia coli fed-batch fermentations, sampled at four different intervals and added five levels of noise to mimic analytical inaccuracy. We computed stepwise integral estimations with and without using moving average estimations, and smoothing spline interpolations to compare the accuracy and precision of each method to calculate the rates. We demonstrate that stepwise integration results in low accuracy and precision, especially at higher sampling frequencies. Contrary, a simple smoothing spline function displayed both the highest accuracy and precision regardless of the chosen sampling interval. Based on this, we tested three different options for substrate uptake rate estimations.
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Aguilar, 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.

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The sesquiterpene (+)-zizaene is the direct precursor of khusimol, the main fragrant compound of the vetiver essential oil from Chrysopogon zizanioides and used in nearly 20% of men’s fine perfumery. The biotechnological production of such fragrant sesquiterpenes is a promising alternative towards sustainability; nevertheless, product recovery from fermentation is one of the main constraints. In an effort to improve the (+)-zizaene recovery from a metabolically-engineered Escherichia coli, we developed an integrated bioprocess by coupling fermentation and (+)-zizaene recovery using adsorber extractants. Initially, (+)-zizaene volatilization was confirmed from cultivations with no extractants but application of liquid–liquid phase partitioning cultivation (LLPPC) improved (+)-zizaene recovery nearly 4-fold. Furthermore, solid–liquid phase partitioning cultivation (SLPPC) was evaluated by screening polymeric adsorbers, where Diaion HP20 reached the highest recovery. Bioprocess was scaled up to 2 L bioreactors and in situ recovery configurations integrated to fermentation were evaluated. External recovery configuration was performed with an expanded bed adsorption column and improved (+)-zizaene titers 2.5-fold higher than LLPPC. Moreover, internal recovery configuration (IRC) further enhanced the (+)-zizaene titers 2.2-fold, whereas adsorption velocity was determined as critical parameter for recovery efficiency. Consequently, IRC improved the (+)-zizaene titer 8.4-fold and productivity 3-fold from our last report, achieving a (+)-zizaene titer of 211.13 mg L−1 and productivity of 3.2 mg L−1 h−1. This study provides further knowledge for integration of terpene bioprocesses by in situ product recovery, which could be applied for many terpene studies towards the industrialization of fragrant molecules.
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Ignova, 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.

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7

Zerajic, 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.

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The bioprocess models with recirculation present an integration of the model of continuous bioreaction system and the model of separation system. The reaction bioprocess is integrated with separation the biomass, formed product, no consumed substrate or inhibitory substance. In this paper the simulation model of recirculation bioprocess was developed, which may be applied for increasing the biomass productivity and product biosynthesis increasing the conversion of a substrate-to-product, mixing efficiency and secondary C02 separation. The goal of the work is optimal bioprocess configuration, which is determined by simulation optimization. The optimal hemostat state was used as referent. Step-by-step simulation method is necessary because the initial bioprocess state is changing with recirculation in each step. The simulation experiment confirms that at the recirculation ratio a. = 0.275 and the concentration factor C = 4 the maximum glucose conversion to ethanol and at a dilution rate ten times larger.
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8

Gaden, 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.

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9

Satish 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.

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Modeling and simulation help us gain a better knowledge of chemical systems and develop obstacles and improvement opportunities. In the initial stages of systems integration, the time and money constraints prevent more precise estimates, basic simulation software that provides a reasonable approximation of energy and material usage and procedure exhaust is typically useful. Every next era of technicians will confront a new set of difficulties, including developing new biochemical reactions with high sensitivity and selectivity for pharmaceutical industries and manufacturing lesser chemicals from biomass resources. This job will need the use of operational process systems integration development tools. The existing toolsneed improvement so that they could be used to examine operations against sustainability principles as well as profitability. Eventually, characteristic models for substances that aren’t presently in collections will be necessary. In the field of integrated bioprocesses, there will undoubtedly be a plethora of new prospects for process systems engineering. The financial and environmental evaluations were based on a generic methodology for collecting first-estimate stock levels. The time it takes to do the evaluation may be cut in half, and a wider number of choices could be explored. A valuable commitment to sustainability bioprocess modeling and evaluation can be made by using a first-approximation numerical method as the basis for financial and environmental evaluations.
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Yin, 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.

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Дисертації з теми "Integrative bioprocess"

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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.

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The use of laboratory scale Microbial Fuel Cells (MFCs) for the combined generation of electricity and the treatment of wastewater has been well documented in literature. In addition to this the integration of MFCs into wastewater treatment reactors has also been shown to have several benefits. These include the improved treatment of wastewater, reduced solid waste and the potential to offset the energy costs of the process through the generation of electricity (Du et al., 2007). The treatment of sulphate-rich wastewater, and in particular Acid Rock Drainage (ARD), has become of increasing importance in water sparse countries like South Africa where mining is currently and has taken place. A semi-passive method of continuous ARD waste treatment is currently being investigated within the Centre for Bioprocess Engineering Research (CeBER) (van Hille et al., 2015). This research involves the use of a Linear Flow Channel Reactor (LFCR) designed for combined biological sulphide reduction and sulphide oxidation to yield a sulphur product. Sulphate Reducing Bacteria (SRB) mediate the biological sulphide reduction. Chemical and biological sulphide oxidation takes place in a Floating Sulphur Biofilm (FSB) on the surface of the reactor and is mediated by Sulphide Oxidising Bacteria (SOB). Sulphate-rich wastewater can therefore be remediated through total sulphur species removal.
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Olaofe, 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.

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Includes abstract.
Includes 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.
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3

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.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
The 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.
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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.

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Книги з теми "Integrative bioprocess"

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Sengupta, Debalina. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2012.

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Pike, Ralph W., and Debalina Sengupta. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2012.

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3

Pike, Ralph W., and Debalina Sengupta. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2017.

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4

Pike, Ralph W., 1935- author, ed. Chemicals from biomass: Integrating bioprocesses into chemical production complexes for sustainable development. CRC Press, 2012.

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5

Pike, Ralph W., and Debalina Sengupta. Chemicals from Biomass: Integrating Bioprocesses into Chemical Production Complexes for Sustainable Development. Taylor & Francis Group, 2012.

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Частини книг з теми "Integrative bioprocess"

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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.

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2

Clay, 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.

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Lee, 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.

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Ignova, 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.

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Nazemzadeh, 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.

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Neubauer, 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.

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Тези доповідей конференцій з теми "Integrative bioprocess"

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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.

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This paper describes the trial of making microcapsules and deformation analysis of a bubble near the curved elastic wall using macro 2d model and plane shock wave. The prototype microcapsules are made by using micromanipulation systems. It is found that by controlling the initial position of a bubble from the wall and the curvature of the wall there is a point to have large deformation, which tends to be collapsed easily. This is one of the results to aid design of DDS or bioprocess for cell-integration.
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Survyla, 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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