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Relevant bibliographies by topics / Bioprocesses

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Academic literature on the topic 'Bioprocesses'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Bioprocesses"

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Aranda-Barradas, Juan Silvestre, Claudia Guerrero-Barajas, and Alberto Ordaz. "Addressing Challenges in Large-Scale Bioprocess Simulations: A Circular Economy Approach Using SuperPro Designer." Processes 13, no. 7 (2025): 2259. https://doi.org/10.3390/pr13072259.

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Bioprocess simulation is a powerful tool for leveraging circular economy principles in the analysis of large-scale bioprocesses, enhancing decision-making for efficient and sustainable production. By simulating different process scenarios, researchers and engineers can evaluate the techno-economic feasibility of different approaches. This approach enables the identification of cost-effective and sustainable solutions, optimizing resource use and minimizing waste, thereby enhancing the overall efficiency and viability of bioprocesses within a circular economy framework. In this review, we provi

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Nimmegeers, Philippe, Dominique Vercammen, Satyajeet Bhonsale, Filip Logist, and Jan Van Impe. "Metabolic Reaction Network-Based Model Predictive Control of Bioprocesses." Applied Sciences 11, no. 20 (2021): 9532. http://dx.doi.org/10.3390/app11209532.

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Bioprocesses are increasingly used for the production of high added value products. Microorganisms are used in bioprocesses to mediate or catalyze the necessary reactions. This makes bioprocesses highly nonlinear and the governing mechanisms are complex. These complex governing mechanisms can be modeled by a metabolic network that comprises all interactions within the cells of the microbial population present in the bioprocess. The current state of the art in bioprocess control is model predictive control based on the use of macroscopic models, solely accounting for substrate, biomass, and pro

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Nimmegeers, Philippe, Dominique Vercammen, Satyajeet Bhonsale, Filip Logist, and Jan Van Impe. "Metabolic Reaction Network-Based Model Predictive Control of Bioprocesses." Applied Sciences 11, no. 20 (2021): 9532. http://dx.doi.org/10.3390/app11209532.

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Bioprocesses are increasingly used for the production of high added value products. Microorganisms are used in bioprocesses to mediate or catalyze the necessary reactions. This makes bioprocesses highly nonlinear and the governing mechanisms are complex. These complex governing mechanisms can be modeled by a metabolic network that comprises all interactions within the cells of the microbial population present in the bioprocess. The current state of the art in bioprocess control is model predictive control based on the use of macroscopic models, solely accounting for substrate, biomass, and pro

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Salvador, William O. S., Inês A. B. Ribeiro, Diogo E. S. Nogueira, Frederico C. Ferreira, Joaquim M. S. Cabral, and Carlos A. V. Rodrigues. "Bioprocess Economic Modeling: Decision Support Tools for the Development of Stem Cell Therapy Products." Bioengineering 9, no. 12 (2022): 791. http://dx.doi.org/10.3390/bioengineering9120791.

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Over recent years, the field of cell and gene therapy has witnessed rapid growth due to the demonstrated benefits of using living cells as therapeutic agents in a broad range of clinical studies and trials. Bioprocess economic models (BEMs) are fundamental tools for guiding decision-making in bioprocess design, being capable of supporting process optimization and helping to reduce production costs. These tools are particularly important when it comes to guiding manufacturing decisions and increasing the likelihood of market acceptance of cell-based therapies, which are often cost-prohibitive b

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Theuer, Lorenz, Judit Randek, Stefan Junne, Peter Neubauer, Carl-Fredrik Mandenius, and Valerio Beni. "Single-Use Printed Biosensor for L-Lactate and Its Application in Bioprocess Monitoring." Processes 8, no. 3 (2020): 321. http://dx.doi.org/10.3390/pr8030321.

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There is a profound need in bioprocess manufacturing for low-cost single-use sensors that allow timely monitoring of critical product and production attributes. One such opportunity is screen-printed enzyme-based electrochemical sensors, which have the potential to enable low-cost online and/or off-line monitoring of specific parameters in bioprocesses. In this study, such a single-use electrochemical biosensor for lactate monitoring is designed and evaluated. Several aspects of its fabrication and use are addressed, including enzyme immobilization, stability, shelf-life and reproducibility. A

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Barragán-Ocaña, Alejandro, Paz Silva-Borjas, Samuel Olmos-Peña, and Mirtza Polanco-Olguín. "Biotechnology and Bioprocesses: Their Contribution to Sustainability." Processes 8, no. 4 (2020): 436. http://dx.doi.org/10.3390/pr8040436.

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Significant advancements in biotechnology have resulted in the development of numerous fundamental bioprocesses, which have consolidated research and development and industrial progress in the field. These bioprocesses are used in medical therapies, diagnostic and immunization procedures, agriculture, food production, biofuel production, and environmental solutions (to address water-, soil-, and air-related problems), among other areas. The present study is a first approach toward the identification of scientific and technological bioprocess trajectories within the framework of sustainability.

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Lyubenova, Velislava, Maya Ignatova, Denitsa Kristeva, and Olympia Roeva. "Multistep Modelling and Monitoring of Bioprocesses." International Journal Bioautomation 28, no. 4 (2024): 185–96. https://doi.org/10.7546/ijba.2024.28.4.001033.

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A new approach is proposed for modelling and monitoring bioprocesses dynamics characterized by different metabolic states. Bioprocesses cannot be described by a single model. For this reason, three phases characterised by the bioprocess are defined – periodic, exponential, and stationary. During each phase, the process passes through one or more physiological states. Each physiological state is described by a sub-model with a different structure and parameter values. The transition of the process from one physiological state to another is carried out by switching the sub-models based on a pred

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ERMURAT, Yakup. "Bioprocesses modeling of acidolysis and redoxolysis activities of ferric and ferrous iron by Saccharomyces cerevisiae and Acetobacter aceti." Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6, no. 3 (2023): 2046–62. http://dx.doi.org/10.47495/okufbed.1126692.

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The acidolysis and redoxolysis reactions regulate the oxidation and reduction of ferric [Fe^(+3) ] and ferrous iron [Fe^(+2) ] which are vital for living organisms. Bioprocesses modeling of the acidolysis along with redoxolysis activities of ferric to ferrous iron [(Fe^(+3))/(Fe^(+2) )] by Saccharomyces cerevisiae and Acetobacter aceti was studied. The bioprocess experiments were carried out at different temperatures of 25oC, 30oC and 35oC for eight weeks. Glucose, ascorbic acid, acetic acid, ethyl alcohol and vinegar were used in incubation media as substrate and acidic purposes. The [(Fe^(+3

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Schügerl, Karl, and Jürgen Hubbuch. "Integrated bioprocesses." Current Opinion in Microbiology 8, no. 3 (2005): 294–300. http://dx.doi.org/10.1016/j.mib.2005.01.002.

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Roman, Monica, and Dan Selişteanu. "Enzymatic Synthesis of Ampicillin: Nonlinear Modeling, Kinetics Estimation, and Adaptive Control." Journal of Biomedicine and Biotechnology 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/512691.

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Nowadays, the use of advanced control strategies in biotechnology is quite low. A main reason is the lack of quality of the data, and the fact that more sophisticated control strategies must be based on a model of the dynamics of bioprocesses. The nonlinearity of the bioprocesses and the absence of cheap and reliable instrumentation require an enhanced modeling effort and identification strategies for the kinetics. The present work approaches modeling and control strategies for the enzymatic synthesis of ampicillin that is carried out inside a fed-batch bioreactor. First, a nonlinear dynamical

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Dissertations / Theses on the topic "Bioprocesses"

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Kipling, Kathryn. "Knowledge engineering in bioprocesses." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399002.

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Hodgson, B. J. "Hybrid modelling of bioprocesses." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444741/.

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The two traditional approaches to modelling can be characterised as the development of mechanistic models from 'first principles' and the fitting of statistical models to data. The so-called 'hybrid approach' combines both elements within a single overall model and is thus composed of a set of mass balance constraints and a set of kinetic functions. This thesis considers methodologies for building hybrid models of bioprocesses. Two methodologies were developed, evaluated and demonstrated on a range of systems of simulated and experimental systems. A method for inferring models from data using

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Pereira, Jorge Fernando Brandão. "A tale of two bioprocesses." Doctoral thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12280.

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Doutoramento em Engenharia Química<br>Bioprocesses use microorganisms or cells in order to produce and/or obtain some desired products. Nowadays these strategies appear as a fundamental alternative to the traditional chemical processes. Amongst the many advantages associated to their use in the chemical, oil or pharmaceutical industries, their low cost, easily scale-up and low environmental impact should be highlighted. This work reports two examples of bioprocesses as alternatives to traditional chemical processes used by the oil and pharmaceutical industries. In the first part of this work

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Richardson, Gary P. "Integrated bioprocesses for acrylic polymer manufacture." Thesis, University of Huddersfield, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405179.

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Roychoudhury, Payal. "Monitoring of industrial bioprocesses using infrared spectroscopy." Thesis, University of Strathclyde, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538871.

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CAPUSONI, CLAUDIA. "APPLICATION OF NON-CONVENTIONAL YEASTS IN BIOPROCESSES." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/788442.

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Sustainability is one of the most pressing challenge of our century, this term is becoming a main keyword of political agendas and more in general of mass media. To increase the “greenness of bioprocesses”, academia and industry, especially in the biotechnological and chemical fields, are focusing their studies with the scope to shift from traditional organic synthesis to new processes with reduced ecological foot-print. A good way to increase sustainability could be set up bioprocesses exploiting microorganisms. Nowadays, companies are searching new organisms that, differently from the well c

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Vaidyanathan, Seetharaman. "Monitoring submerged mycelial bioprocesses using near-infrared spectroscopy." Thesis, University of Strathclyde, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248359.

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Griffiths, Paul. "Developing methodologies for determining operating strategies for bioprocesses." Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1445562/.

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This thesis examines techniques for analysing bioprocess flowsheet simulations so as to determine operating strategies. Currently approaches cited in the literature for analysing bioprocesses employ visualisation of two-dimensional subsets of the feasible region. However this approach is restricted to two control variables and relies heavily on the engineer's judgement to estimate the potential impact of uncertainties in both the model and the process operation. The objective of this research was to generate methods capable of locating robust operating points for multivariate bioprocesses. Inc

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Giovanini, Gabriel Tescarolo. "Produção, liofilização, purificação e determinação de especificidade da peptidase isolada do fungo Scopulariopsis koningii." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/60/60138/tde-30102014-144336/.

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Peptidase pode ser considerada, como uma subclasse das enzimas hidrolíticas que ocupam uma posição central em relação às suas aplicações na área fisiológica e também na área comercial. As peptidases representam um dos três maiores grupos de enzimas industriais e são responsáveis por cerca de 60% da venda mundial de enzimas. O presente trabalho visa avaliar a produção de peptidase em fermentação submersa (FSm) pelo fungo Scopulariopsis koningii, utilizando como substrato farinha de pena (FP), a caracterização bioquímica parcial, secagem do extrato bruto, purificação da peptidase e determinação

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Lara, Ezequiel Franco. "Framework for online modeling, optimization and monitoring of bioprocesses." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=967218675.

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Books on the topic "Bioprocesses"

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Condon, Anne, David Harel, Joost N. Kok, Arto Salomaa, and Erik Winfree, eds. Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7.

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Condon, Anne. Algorithmic bioprocesses. Springer, 2009.

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Fiechter, Armin, Hirosuke Okada, and Robert D. Tanner, eds. Bioproducts and Bioprocesses. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74227-9.

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Krull, Rainer, and Thomas Bley, eds. Filaments in Bioprocesses. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20511-3.

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A, Fiechter, ed. Bioprocesses and engineering. Springer-Verlag, 1989.

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Kumar, Kruthiventi Anil, and Gaikar Vilas Gajanan, eds. Biotransformations and bioprocesses. Marcel Dekker, 2004.

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Harmand, Jérôme, Claude Lobry, Alain Rapaport, and Tewfik Sari. Optimal Control in Bioprocesses. John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119427520.

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Yoshida, Toshiomi, and Robert D. Tanner, eds. Bioproducts and Bioprocesses 2. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-49360-7.

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1956-, Dochain D., ed. Automatic control of bioprocesses. John Wiley & Sons, 2008.

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Conference to Promote Japan/U.S. Joint Projects and Cooperation in Biotechnology (3rd 1991 Honolulu, Hawaii). Bioproducts and bioprocesses 2. Springer-Verlag, 1993.

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Book chapters on the topic "Bioprocesses"

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Silva, Ana Catarina. "Bioprocesses." In SpringerBriefs in Molecular Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60061-6_4.

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Igne, Benoît. "Bioprocesses." In Handbook of Near-Infrared Analysis, 4th ed. CRC Press, 2021. http://dx.doi.org/10.1201/b22513-38.

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Salomaa, Arto. "Grzegorz Rozenberg: A Magical Scientist and Brother." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_1.

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Kobayashi, Satoshi. "Applying Symmetric Enumeration Method to One-Dimensional Assembly of Rotatable Tiles." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_10.

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Sahu, Sudheer, Peng Yin, and John H. Reif. "A Self-assembly Model of Time-Dependent Glue Strength." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_11.

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Seeman, Nadrian C. "The Perils of Polynucleotides Revisited." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_12.

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Turberfield, Andrew J. "Algorithmic Control: The Assembly and Operation of DNA Nanostructures and Molecular Machinery." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_13.

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Ibarra, Oscar H., and Sara Woodworth. "On Nonuniversal Symport/Antiport P Systems." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_14.

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Păun, Gheorghe, and Mario J. Pérez-Jiménez. "Spiking Neural P Systems. Recent Results, Research Topics." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_15.

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Pérez-Jiménez, Mario J., and Takashi Yokomori. "Membrane Computing Schema: A New Approach to Computation Using String Insertions." In Algorithmic Bioprocesses. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88869-7_16.

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Conference papers on the topic "Bioprocesses"

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Mexis, Konstantinos, Stefanos Xenios, Nikolaos Trokanas, and Antonis Kokossis. "A Physics-Informed Approach to Dynamic Modeling and Parameter Estimation in Biotechnology." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.122347.

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The increasing complexity of industrial biotechnology demands advanced modeling techniques capable of capturing the intricate dynamics of bioreactors. Traditional regression-based and empirical methods often fall short when confronted with the highly nonlinear behavior and limited experimental data characteristic of bioprocesses. Addressing these challenges requires a more intelligent approach�one that leverages domain knowledge to model complex bioprocess dynamics effectively, even with sparse data, while maintaining interpretability and robustness. In this study, we introduce a process-infor

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Chiplunkar, Ranjith, Syazana Mohamad Pauzi, Steven Sachio, Maria M. Papathanasiou, and Cleo Kontoravdi. "Probabilistic Design Space Identification for Upstream Bioprocesses under Limited Data Availability�." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.166359.

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Design space identification (DSId) and flexibility analysis are critical in process systems engineering, enabling efficient design of operating conditions. For bioprocess, these tasks are often hindered by the absence of reliable mechanistic models and limited experimental data. This paper presents an algorithm to address these challenges in bioprocesses. The methodology begins by constructing a Gaussian process (GP) model to predict key performance indicators (KPIs) from process inputs. Leveraging the probabilistic nature of GP predictions, we perform probabilistic design space identification

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Amirifar, Ariyan, and Constantinos Theodoropoulos. "A Comprehensive study on PHB biosynthesis and biodegradation through kinetic modelling." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.100440.

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Polyhydroxyalkanoates (PHAs) are microbial bioplastics that are fully biodegradable, biocompatible and can be produced by renewable feedstocks through fermentation. These are all desirable attributes for the replacement of current fossil-based plastics. Strong mathematical models describing bioprocesses are invaluable tools that can be used for enhancing bioprocess understanding as well as optimization. In this study, polyhydroxybutyrate (PHB), by Cupriavidus necator DSM 545 was produced using glycerol and ammonium sulphate (AS) as the sole carbon and nitrogen sources, respectively. In additio

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Cho, Bovinille Anye, George Mbella Teke, Godfrey K. Gakingo, Robert W. M. Pott, and Dongda Zhang. "CFD Simulations of Mixing Dynamics and Photobioreaction Kinetics in Miniature Bioreactors under Transitional Flow Regimes." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.197756.

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Miniaturised stirred bioreactors are crucial in high-throughput bioprocesses for their simplicity and cost-effectiveness. To accelerate process optimisation in chemical and bioprocess industries, models that integrate CFD-predicted flow fields with (bio)reaction kinetics are needed. However, conventional two-step coupling methods, which freeze flow fields after solving hydrodynamics and then address (bio)reaction transport, face numerical challenges in miniaturised systems due to unsteady radial flows, recirculation zones, and secondary vortices. These flow fluctuations prevent steady-state hy

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Mores, Wannes, Satyajeet S. Bhonsale, Filip Logist, and Jan F. M. Van Impe. "Metabolic network reduction based on Extreme Pathway sets." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.132855.

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The use of metabolic networks is extremely valuable for design and optimisation of bioprocesses as they provide great insight into cellular metabolism. Within bioprocess optimisation, they have enabled better (economic) objective performance through more accurate network-based models. However, one of the drawbacks of using metabolic networks is their underdeterminacy, leading to non-unique flux distributions. Flux Balance Analysis (FBA) reduces this issue by making assumptions on the behaviour of the cell. However, for metabolic networks of higher complexity, can still struggle with underdeter

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Garcia-Tenorio, Camilo, Guilherme A. Pimentel, Laurent Dewasme, and Alain Vande Wouwer. "Application of pqEDMD to Modeling and Control of Bioprocesses." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.172482.

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Extended Dynamic Mode Decomposition (EDMD) and its variant, the pqEDMD, which uses a p-q-quasi norm reduction of polynomial basis functions, are attractive tools to derive linear operators approximating the dynamic behavior of nonlinear systems. This study highlights how this methodology can be applied to data-driven modeling and control of bioprocesses by discussing the selection of several ingredients of the method, such as the polynomial basis, order, data sampling, and preparation for training and testing, and ultimately, the exploitation of the model in linear model predictive control.

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Overgaard, Tobias, Maria-Ona Bertran, John B. J�rgensen, and Bo F. Nielsen. "Incorporating Process Knowledge into Latent Variable Models: An Application to Root Cause Analysis in Bioprocesses." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.181483.

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Incorporating process knowledge from various sources often presents challenges in process development, optimization, and control. To utilize available knowledge, linking existing process mo-dels is a viable approach. This work introduces a methodology using latent variable models, specifically sequential and orthogonalized partial least squares (SO-PLS), to capture and quantify the contribution of first-principles knowledge in process models. Applied to a continuously stirred tank reactor (CSTR) case study, the methodology demonstrates how available knowledge can be quantified and how structur

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Gießel, A., N. Ziebart, and T. Walther. "P35 - DIY dissolved oxygen sensors - low-cost and low-size DO-sensing utilising Chronoamperometry for Bioprocesses." In 17. Dresdner Sensor-Symposium 2024. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2024. https://doi.org/10.5162/17dss2024/p35.

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Caccavale, Fiammetta, Carina L. Gargalo, Krist V. Gernaey, and Ulrich Kr�hne. "Closing the loop: customized coding courses and chatbots embedded in a virtual lab to teach bioprocesses." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.125783.

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Current progress in digitalization has led to a wide interest in learning more from available data. Advanced data analytics can be achieved through commercially available software; however, learning to program allows for more flexibility and, ultimately, more freedom in the potentially tailor-suited investigation. Among other programming languages, Python is one of the most requested, in industry and research alike. To intensify the earlier efforts and create both a pedagogical framework to teach programming to (bio)chemical engineers, and provide students with the opportunity to ask questions

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Pennington, Oliver, Youping Xie, Keju Jing, and Dongda Zhang. "Fed-batch bioprocess prediction and dynamic optimization from hybrid�modelling and transfer learning." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.135658.

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Hybrid modelling utilizes advantageous aspects of both mechanistic (white box) and data-driven (black box) modelling. Combining the physical interpretability of kinetic modelling with the power of a data-driven Artificial Neural Network (ANN) yields a hybrid (grey box) model with superior accuracy when compared to a traditional mechanistic model, while requiring less data than a purely data-driven model. This study demonstrates the construction a hybrid model with transfer learning for the predictive modelling and optimization of a high-cell-density microalgal fermentation process for lutein p

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Reports on the topic "Bioprocesses"

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Keasling, Jay D. Miniature Bioprocess Array: A Platform for Quantitative Physiology and Bioprocess Optimization. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405365.

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Luongo, Kenneth N. ,. 1960, -), David S. Reichmuth, et al. Universal bioprocessor LDRD final report. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/895984.

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Mark A. Eiteman. Multidisciplinary Graduate Education in Bioprocess Engineering. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/881268.

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Magnuson, Jon, Mark Butcher, Jake Tewalt, and Steve Lewis. Fungal Bioprocess for Upgrading Thin Stillage. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1021441.

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Clark, Elizabeth J., J. M. H. Levelt Sengers, and J. B. Hubbard. A survey of selected topics relevant to bioprocess engineering. National Bureau of Standards, 1990. http://dx.doi.org/10.6028/nist.tn.1276.

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Gregory Stephanopoulos. Development of DNA Microarrays for Metabolic Pathway and Bioprocess Monitoring. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/837870.

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Hofstad, Beth. Engineering CghSAMPa Production in Fungi and Bioprocess Development -CRADA 502. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1827800.

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Tanjore, Deepti. Development of a Novel Bioprocess for Synthesizing and Purifying Adipic Acid. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1633787.

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Lyubenova, Velislav, Maya Ignatova, and Georgi Kostov. Interactive Teaching System for Structural and Parametric Identification of Bioprocess Models. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2018. http://dx.doi.org/10.7546/crabs.2018.06.13.

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Riaño Archila, Johana Fabiola. Biotecnología y Producción Microbiana. Sello Editorial UNAD, 2022. https://doi.org/10.22490/ecisa.9378.

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Abstract:

La biotecnología microbiana ha permitido importantes avances en la producción de compuestos de alto valor agregado, como la astaxantina, así como en el estudio de microorganismos adaptados a ambientes extremos y los procesos de nutrición bacteriana. La producción de astaxantina bajo condiciones de estrés ha sido optimizada mediante el uso de biorreactores a escala de laboratorio, lo que facilita su aplicación industrial. Los microorganismos xerófilos, provenientes de regiones semiáridas, han demostrado una notable capacidad de adaptación y potencial biotecnológico. Además, la comprensión de la

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