Gotowe bibliografie tematyczne / Bioprocess online monitoring

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  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Części książek
  4. Streszczenia konferencji

Gotowa bibliografia na temat „Bioprocess online monitoring”

Autor: Grafiati
Data publikacji: 27 lipca 2024
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Bioprocess online monitoring"

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Büttgenbach, S., M. Michalzik, and R. Wilke. "New Approaches to Online Bioprocess Monitoring." Engineering in Life Sciences 6, no. 5 (2006): 449–54. http://dx.doi.org/10.1002/elsc.200620150.

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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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Panjan, Peter, Vesa Virtanen, and Adama Marie Sesay. "Towards microbioprocess control: an inexpensive 3D printed microbioreactor with integrated online real-time glucose monitoring." Analyst 143, no. 16 (2018): 3926–33. http://dx.doi.org/10.1039/c8an00308d.

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Constantinou, Antony, and Karen M. Polizzi. "Opportunities for bioprocess monitoring using FRET biosensors." Biochemical Society Transactions 41, no. 5 (2013): 1146–51. http://dx.doi.org/10.1042/bst20130103.

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Bioprocess monitoring is used to track the progress of a cell culture and ensure that the product quality is maintained. Current schemes for monitoring metabolism rely on offline measurements of samples of the extracellular medium. However, in the era of synthetic biology, it is now possible to design and implement biosensors that consist of biological macromolecules and are able to report on the intracellular environment of cells. The use of fluorescent reporter signals allows non-invasive, non-destructive and online monitoring of the culture, which reduces the delay between measurement and a
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Brunner, Vincent, Lukas Klöckner, Roland Kerpes, Dominik Ulrich Geier, and Thomas Becker. "Online sensor validation in sensor networks for bioprocess monitoring using swarm intelligence." Analytical and Bioanalytical Chemistry 412, no. 9 (2019): 2165–75. http://dx.doi.org/10.1007/s00216-019-01927-7.

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Liu, Weiwen, Ziqi Liang, Yuanyu Wang, et al. "A facile online multi-gear capacitively coupled contactless conductivity detector for an automatic and wide range monitoring of high salt in HPLC." Analyst 147, no. 3 (2022): 496–504. http://dx.doi.org/10.1039/d1an02249k.

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Franca, Rita D. G., Virgínia C. F. Carvalho, Joana C. Fradinho, Maria A. M. Reis, and Nídia D. Lourenço. "Raman Spectrometry as a Tool for an Online Control of a Phototrophic Biological Nutrient Removal Process." Applied Sciences 11, no. 14 (2021): 6600. http://dx.doi.org/10.3390/app11146600.

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Real-time bioprocess monitoring is crucial for efficient operation and effective bioprocess control. Aiming to develop an online monitoring strategy for facilitating optimization, fault detection and decision-making during wastewater treatment in a photo-biological nutrient removal (photo-BNR) process, this study investigated the application of Raman spectroscopy for the quantification of total organic content (TOC), volatile fatty acids (VFAs), carbon dioxide (CO2), ammonia (NH3), nitrate (NO3), phosphate (PO4), total phosphorus (total P), polyhydroxyalkanoates (PHAs), total carbohydrates, to
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Hans, Sebastian, Christian Ulmer, Harini Narayanan, et al. "Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis." Processes 8, no. 5 (2020): 582. http://dx.doi.org/10.3390/pr8050582.

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In conditional microbial screening, a limited number of candidate strains are tested at different conditions searching for the optimal operation strategy in production (e.g., temperature and pH shifts, media composition as well as feeding and induction strategies). To achieve this, cultivation volumes of >10 mL and advanced control schemes are required to allow appropriate sampling and analyses. Operations become even more complex when the analytical methods are integrated into the robot facility. Among other multivariate data analysis methods, principal component analysis (PCA) techniques
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Sarma, Saurabh Jyoti, Sampa Maiti, Satinder Kaur Brar, Yann Le Bihan, Gerardo Buelna, and Mausam Verma. "Low cost semi-continuous bioprocess and online monitoring of hydrogen production from crude glycerol." RSC Advances 5, no. 109 (2015): 89809–16. http://dx.doi.org/10.1039/c5ra14470a.

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Gaudreault, Jimmy, Catherine Forest-Nault, Gregory De Crescenzo, Yves Durocher, and Olivier Henry. "On the Use of Surface Plasmon Resonance-Based Biosensors for Advanced Bioprocess Monitoring." Processes 9, no. 11 (2021): 1996. http://dx.doi.org/10.3390/pr9111996.

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Biomanufacturers are being incited by regulatory agencies to transition from a quality by testing framework, where they extensively test their product after their production, to more of a quality by design or even quality by control framework. This requires powerful analytical tools and sensors enabling measurements of key process variables and/or product quality attributes during production, preferably in an online manner. As such, the demand for monitoring technologies is rapidly growing. In this context, we believe surface plasmon resonance (SPR)-based biosensors can play a role in enabling
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Rozprawy doktorskie na temat "Bioprocess online monitoring"

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Gil, Gustavo Adolfo. "Online Raman spectroscopy for bioprocess monitoring." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/36757.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Author received the S.B. degree, June 2005 and the M. Eng. degree, Sept. 2005.<br>Includes bibliographical references (p. 195-202).<br>Online monitoring of bioprocesses is essential to expanding the potential of biotechnology. In this thesis, a system to estimate concentrations of chemical components of an Escherichia Coli fermentation growth medium via a remote fiber-optic Raman spectroscopy probe was studied in depth. The system was characterized to determine sourc
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Ladner, Tobias Michael David Verfasser], Jochen [Akademischer Betreuer] [Büchs, and Bernd [Akademischer Betreuer] Hitzmann. "Technical developments for online bioprocess monitoring in continuously orbitally shaken microtiter plates / Tobias Michael David Ladner ; Jochen Büchs, Bernd Hitzmann." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1130872130/34.

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Yang, Ning. "Online monitoring of bioreactors by Raman spectroscopy and machine learning." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST083.

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Cette thèse présente une nouvelle stratégie de modélisation pour le suivi en ligne des bioréacteurs, utilisant la spectroscopie Raman et Machine Learning. L'objectif principal de cette étude est de développer des modèles simplifiés utilisant des spectres Raman provenant d'étalons. Elle se compose de trois parties.La première partie de cette thèse consiste à optimiser les paramètres d'acquisition Raman et à élaborer un modèle de régression PLS en utilisant des étalons purs. Ensuite, une validation préliminaire est entreprise en employant des étalons mixtes afin de simuler les variations de comp
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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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Hoche, Sven [Verfasser], Thomas [Akademischer Betreuer] Becker, Hermann [Gutachter] Nirschl, and Thomas [Gutachter] Becker. "Ultrasound based PAT-concept for online monitoring of fermentative bioprocesses. / Sven Hoche ; Gutachter: Hermann Nirschl, Thomas Becker ; Betreuer: Thomas Becker." München : Universitätsbibliothek der TU München, 2017. http://d-nb.info/1153882477/34.

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Alhusban, AAA. "Bioprocess monitoring using sequential injection capillary electrophoresis." Thesis, 2016. https://eprints.utas.edu.au/23102/1/Alhusbana_whole_thesis_ex_pub_mat.pdf.

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Bioprocess monitoring has received significant interest over the past few years. The production of biopharmaceuticals synthesized by living cells during fermentation or cell culture processes is a rapidly growing field. Additionally, cell based assays have replaced many in vivo assays because of ethical and regulatory restrictions on working with laboratory animals. Biological processes are naturally susceptible to variability because living cells consume substrates and produce metabolites and products in a dynamic way with variations in metabolic rate across short time intervals. For t
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Lara, Ezequiel Franco [Verfasser]. "Framework for online modeling, optimization and monitoring of bioprocesses / von Ezequiel Franco Lara." 2002. http://d-nb.info/967218675/34.

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Części książek na temat "Bioprocess online monitoring"

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Anderlei, Tibor, Michael V. Keebler, Jordi Joan Cairó, and Martí Lecina. "HEK293 Cell-Based Bioprocess Development at Bench Scale by Means of Online Monitoring in Shake Flasks (RAMOS and SFR)." In Animal Cell Biotechnology. Springer US, 2019. http://dx.doi.org/10.1007/978-1-0716-0191-4_6.

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Marison, Ian, Siobhán Hennessy, Róisín Foley, Moira Schuler, Senthilkumar Sivaprakasam, and Brian Freeland. "The Choice of Suitable Online Analytical Techniques and Data Processing for Monitoring of Bioprocesses." In Advances in Biochemical Engineering/Biotechnology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/10_2012_175.

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Murugan, Chitra. "Soft Sensors for Biomass Monitoring during Low Cost Cellulase Production." In Biotechnological Applications of Biomass. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96027.

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Low cost cellulase production has become a major challenge in recent years. The major hurdle in the production of biofuel and other products from biomass is the lack of efficient economically feasible cellulase. This can be achieved by proper monitoring and control of bioprocess. In order to implement any control scheme, the accurate representation of the system in the form of a model is necessary. There are many challenges associated with modeling the fermentation process such as inherent nonlinear dynamic behavior, complexity of process due to co-existence of viable and nonviable cells, pres
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Morais, Breno Alves de, Daniella Regina Arantes Martins Salha, and Carlos Alfredo Galindo Blaha. "The importance of monitoring in remote teaching: Experiences of a nursing student in the collaborative teaching-learning process in academic training." In INTERDISCIPLINARITY AND INNOVATION IN SCIENTIFIC RESEARCH. Seven Editora, 2023. http://dx.doi.org/10.56238/interdiinovationscrese-067.

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This is an experience report of a quantitative descriptive approach about the performance of the Monitor of the Integrated Monitoring project of the Department of Cell Biology and Genetics (MIC-DBG) of UFRN during the Emergency Remote Teaching in the pandemic caused by SARS CoV-2. The Monitoring actions were developed with bachelor's students in Ecology, Nursing, Dentistry and Pharmacy assisting the teachers of 03 classes of Cellular and Molecular Biology and 01 class of Genetics, making a population of 102 students. The use of TDICs in synchronous and asynchronous actions was of relevant impo
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Streszczenia konferencji na temat "Bioprocess online monitoring"

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Wu, C., F. Brunelle, M. Harnois, J. Follet, and V. Senez. "An integrated hybrid microfluidic system for online bioprocesses monitoring: Combining electrical lysis and EWOD sample preparation." In 2012 IEEE 25th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2012. http://dx.doi.org/10.1109/memsys.2012.6170301.

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