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28 results on '"Duerkop, Mark"'

4. A comprehensive antigen production and characterisation study for easy-to-implement, specific and quantitative SARS-CoV-2 serotests

Author

Klausberger, Miriam, Duerkop, Mark, Haslacher, Helmuth, Wozniak-Knopp, Gordana, Cserjan-Puschmann, Monika, Perkmann, Thomas, Lingg, Nico, Aguilar, Patricia Pereira, Laurent, Elisabeth, De Vos, Jelle, Hofner, Manuela, Holzer, Barbara, Stadler, Maria, Manhart, Gabriele, Vierlinger, Klemens, Egger, Margot, Milchram, Lisa, Gludovacz, Elisabeth, Marx, Nicolas, Köppl, Christoph, Tauer, Christopher, Beck, Jürgen, Maresch, Daniel, Grünwald-Gruber, Clemens, Strobl, Florian, Satzer, Peter, Stadlmayr, Gerhard, Vavra, Ulrike, Huber, Jasmin, Wahrmann, Markus, Eskandary, Farsad, Breyer, Marie-Kathrin, Sieghart, Daniela, Quehenberger, Peter, Leitner, Gerda, Strassl, Robert, Egger, Alexander E., Irsara, Christian, Griesmacher, Andrea, Hoermann, Gregor, Weiss, Günter, Bellmann-Weiler, Rosa, Loeffler-Ragg, Judith, Borth, Nicole, Strasser, Richard, Jungbauer, Alois, Hahn, Rainer, Mairhofer, Jürgen, Hartmann, Boris, Binder, Nikolaus B., Striedner, Gerald, Mach, Lukas, Weinhäusel, Andreas, Dieplinger, Benjamin, Grebien, Florian, Gerner, Wilhelm, Binder, Christoph J., and Grabherr, Reingard

Published
2021
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7. Increasing test specificity without impairing sensitivity: lessons learned from SARS-CoV-2 serology.

Author

Perkmann, Thomas, Koller, Thomas, Perkmann-Nagele, Nicole, Ozsvar-Kozma, Maria, Eyre, David, Matthews, Philippa, Bown, Abbie, Stoesser, Nicole, Breyer, Marie-Kathrin, Breyer-Kohansal, Robab, Burghuber, Otto C., Hartl, Slyvia, Aletaha, Daniel, Sieghart, Daniela, Quehenberger, Peter, Marculescu, Rodrig, Mucher, Patrick, Radakovics, Astrid, Klausberger, Miriam, and Duerkop, Mark

Subjects
COVID-19, SEROLOGY, MEDICAL ethics, SARS-CoV-2, TERMS of service (Internet), SENDAI virus
Published
2023
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9. Increasing test specificity without impairing sensitivity: lessons learned from SARS-CoV-2 serology

Author

Perkmann, Thomas, primary, Koller, Thomas, additional, Perkmann-Nagele, Nicole, additional, Ozsvar-Kozma, Maria, additional, Eyre, David, additional, Matthews, Philippa, additional, Bown, Abbie, additional, Stoesser, Nicole, additional, Breyer, Marie-Kathrin, additional, Breyer-Kohansal, Robab, additional, Burghuber, Otto C, additional, Hartl, Slyvia, additional, Aletaha, Daniel, additional, Sieghart, Daniela, additional, Quehenberger, Peter, additional, Marculescu, Rodrig, additional, Mucher, Patrick, additional, Radakovics, Astrid, additional, Klausberger, Miriam, additional, Duerkop, Mark, additional, Holzer, Barba, additional, Hartmann, Boris, additional, Strassl, Robert, additional, Leitner, Gerda, additional, Grebien, Florian, additional, Gerner, Wilhelm, additional, Grabherr, Reingard, additional, Wagner, Oswald F, additional, Binder, Christoph J, additional, and Haslacher, Helmuth, additional

Published
2022
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10. Comparison of mechanistic and hybrid modeling approaches for characterization of a CHO cultivation process: Requirements, pitfalls and solution paths

Author

Bayer, Benjamin, Duerkop, Mark, Pörtner, Ralf, Möller, Johannes, Bayer, Benjamin, Duerkop, Mark, Pörtner, Ralf, and Möller, Johannes

Abstract

Despite the advantages of mathematical bioprocess modeling, successful model implementation already starts with experimental planning and accordingly can fail at this early stage. For this study, two different modeling approaches (mechanistic and hybrid) based on a four-dimensional antibody-producing CHO fed-batch process are compared. Overall, 33 experiments are performed in the fractional factorial four-dimensional design space and separated into four different complex data partitions subsequently used for model comparison and evaluation. The mechanistic model demonstrates the advantage of prior knowledge (i.e., known equations) to get informative value relatively independently of the utilized data partition. The hybrid approach displayes a higher data dependency but simultaneously yielded a higher accuracy on all data partitions. Furthermore, our results demonstrate that independent of the chosen modeling framework, a smart selection of only four initial experiments can already yield a very good representation of a full design space independent of the chosen modeling structure. Academic and industry researchers are recommended to pay more attention to experimental planning to maximize the process understanding obtained from mathematical modeling., Bundesministerium für Bildung und Forschung (BMBF)

Published
2022

11. SARS-CoV-2 RBD-specific and NP-specific antibody response of healthcare workers in the westernmost Austrian state Vorarlberg: a prospective cohort study

Author

Atzl, Michele, primary, Muendlein, Axel, additional, Winder, Thomas, additional, Fraunberger, Peter, additional, Brandtner, Eva-Maria, additional, Geiger, Kathrin, additional, Klausberger, Miriam, additional, Duerkop, Mark, additional, Sprenger, Lukas, additional, Mutschlechner, Beatrix, additional, Volgger, Andreas, additional, Benda, Magdalena, additional, Severgnini, Luciano, additional, Jaeger, Johannes B, additional, Drexel, Heinz, additional, Lang, Alois, additional, and Leiherer, Andreas, additional

Published
2022
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15. Spike Protein Antibodies Mediate the Apparent Correlation between SARS-CoV-2 Nucleocapsid Antibodies and Neutralization Test Results

Author

Perkmann, Thomas, primary, Koller, Thomas, additional, Perkmann-Nagele, Nicole, additional, Klausberger, Miriam, additional, Duerkop, Mark, additional, Holzer, Barbara, additional, Hartmann, Boris, additional, Mucher, Patrick, additional, Radakovics, Astrid, additional, Ozsvar-Kozma, Maria, additional, Wagner, Oswald F., additional, Binder, Christoph J., additional, and Haslacher, Helmuth, additional

Published
2021
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17. SARS-CoV-2 serostatus of healthcare worker in the Austrian state Vorarlberg between June 2020 and January 2021

Author

Atzl, Michele, primary, Muendlein, Axel, additional, Winder, Thomas, additional, Fraunberger, Peter, additional, Brandtner, Eva-Maria, additional, Geiger, Kathrin, additional, Klausberger, Miriam, additional, Duerkop, Mark, additional, Sprenger, Lukas, additional, Mutschlechner, Beatrix, additional, Volgger, Andreas, additional, Benda, Magdalena, additional, Severgnini, Luciano, additional, Jaeger, Johannes B., additional, Drexel, Heinz, additional, Lang, Alois, additional, and Leiherer, Andreas, additional

Published
2021
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19. Increasing test specificity without impairing sensitivity - lessons learned from SARS-CoV-2 serology

Author

Perkmann, Thomas, primary, Koller, Thomas, additional, Perkmann-Nagele, Nicole, additional, Ozsvar-Kozma, Maria, additional, Eyre, David, additional, Matthews, Philippa, additional, Bown, Abbie, additional, Stoesser, Nicole, additional, Breyer, Marie-Kathrin, additional, Breyer-Kohansal, Robab, additional, Burghuber, Otto C, additional, Hartl, Slyvia, additional, Aletaha, Daniel, additional, Sieghart, Daniela, additional, Quehenberger, Peter, additional, Marculescu, Rodrig, additional, Mucher, Patrick, additional, Radakovics, Astrid, additional, Klausberger, Miriam, additional, Duerkop, Mark, additional, Holzer, Barba, additional, Hartmann, Boris, additional, Strassl, Robert, additional, Leitner, Gerda, additional, Grebien, Florian, additional, Gerner, Wilhelm, additional, Grabherr, Reingard, additional, Wagner, Oswald F, additional, Binder, Christoph J, additional, and Haslacher, Helmuth, additional

Published
2020
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25. Soft sensor based on 2D‐fluorescence and process data enabling real‐time estimation of biomass in Escherichia coli cultivations.

Author

Bayer, Benjamin, Stosch, Moritz, Melcher, Michael, Duerkop, Mark, and Striedner, Gerald

Subjects
BIOMASS estimation, REAL-time computing, ESCHERICHIA coli, ELECTRONIC data processing, DETECTORS, CELL metabolism
Abstract

In bioprocesses, specific process responses such as the biomass cannot typically be measured directly on‐line, since analytical sampling is associated with unavoidable time delays. Accessing those responses in real‐time is essential for Quality by Design and process analytical technology concepts. Soft sensors overcome these limitations by indirectly measuring the variables of interest using a previously derived model and actual process data in real time. In this study, a biomass soft sensor based on 2D‐fluorescence data and process data, was developed for a comprehensive study with a 20‐L experimental design, for Escherichia coli fed‐batch cultivations. A multivariate adaptive regression splines algorithm was applied to 2D‐fluorescence spectra and process data, to estimate the biomass concentration at any time during the process. Prediction errors of 4.9% (0.99 g/L) for validation and 3.8% (0.69 g/L) for new data (external validation), were obtained. Using principal component and parallel factor analyses on the 2D‐fluorescence data, two potential chemical compounds were identified and directly linked to cell metabolism. The same wavelength pairs were also important predictors for the regression‐model performance. Overall, the proposed soft sensor is a valuable tool for monitoring the process performance on‐line, enabling Quality by Design. [ABSTRACT FROM AUTHOR]

Published
2020
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26. Influence of cavitation and high shear stress on HSA aggregation behavior.

Author

Duerkop, Mark, Berger, Eva, Dürauer, Astrid, and Jungbauer, Alois

Subjects
*SERUM albumin, *CAVITATION, *COMPUTATIONAL fluid dynamics, *HYDROXYL group, *SHEARING force, *CLUSTERING of particles, *MATHEMATICAL models
Abstract

Abstract: Neither the influence of high shear rates nor the impact of cavitation on protein aggregation is fully understood. The effect of cavitation bubble collapse‐derived hydroxyl radicals on the aggregation behavior of human serum albumin (HSA) was investigated. Radicals were generated by pumping through a micro‐orifice, ultra‐sonication, or chemically by Fenton's reaction. The amount of radicals produced by the two mechanical methods (0.12 and 11.25 nmol/(L min)) was not enough to change the protein integrity. In contrast, Fenton's reaction resulted in 382 nmol/(L min) of radicals, inducing protein aggregation. However, the micro‐orifice promoted the formation of soluble dimeric HSA aggregates. A validated computational fluid dynamic model of the orifice revealed a maximum and average shear rate on the order of 108 s−1 and 1.2 × 106 s−1, respectively. Although these values are among the highest ever reported in the literature, dimer formation did not occur when we used the same flow rate but suppressed cavitation. Therefore, aggregation is most likely caused by the increased surface area due to cavitation‐mediated bubble growth, not by hydroxyl radical release or shear stress as often reported. [ABSTRACT FROM AUTHOR]

Published
2018
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