Ermolai, Vasile; Sover, Alexandru; Nagit, Gheorghe (2022)
MATEC Web of Conferences 368, 01005.
DOI: 10.1051/matecconf/202236801005
Ermolai, Vasile; Sover, Alexandru; Boca, Marius-Andrei; Hriţuc, Adelina; Slătineanu, Laurenţiu; Nagit, Gheorghe; Stavarache, Răzvan Cosmin (2022)
Ermolai, Vasile; Sover, Alexandru; Boca, Marius-Andrei; Hriţuc, Adelina...
MATEC Web of Conferences 368, 1004.
DOI: 10.1051/matecconf/202236801004
Stiehl, Annika; Anselstetter, Fabienne; Ille, Nicole; Bornfleth, Harald; Geißelsöder, Stefan; Uhl, Christian (2022)
Stiehl, Annika; Anselstetter, Fabienne; Ille, Nicole; Bornfleth, Harald...
Abstracts of the 2022 Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE)Societies for Biomedical Engineering 67 (S1), 88.
DOI: 10.1515/bmt-2022-2001
Tyroller, Maria; Walter, Michael S. J.; Kätzel, Charlotte; Riess, Christian (2022)
Proceedings of the 24th International Conference on Engineering and Product Design Education, London South Bank University.
DOI: 10.35199/EPDE.2022.48
Riess, Christian; Walter, Michael S. J.; Tyroller, Maria (2022)
50th Annual Conference of The European Society for Engineering Education (SEFI 2022), Universitat Politècnica de Catalunya, Barcelona, 2161-2165.
DOI: 10.5821/conference-9788412322262.1269
Boca, Marius-Andrei; Sover, Alexandru; Slătineanu, Laurenţiu (2022)
Macromolecular Symposia 404, 2100399.
DOI: 10.1002/masy.202100399
Ermolai, Vasile; Sover, Alexandru; Nagit, Gheorghe (2022)
Macromolecular Symposia 404, 2100320.
DOI: 10.1002/masy.202100320
Stiehl, Annika; Geißelsöder, Stefan; Ille, Nicole; Anselstetter, Fabienne; Bornfleth, Harald; Uhl, Christian (2022)
Stiehl, Annika; Geißelsöder, Stefan; Ille, Nicole; Anselstetter, Fabienne...
Proceedings of the Workshop Biosignale 2022 (24. - 26.08.2022).
DOI: 10.48550/arXiv.2502.12814
Geißelsöder, Stefan (2022)
4th International Conference Business Meets Technology, Valencia, Spain.
DOI: 10.4995/BMT2022.2022.15555
Dettelbacher, Johannes; Wagner, David; Buchele, Alexander; Schlüter, Wolfgang (2022)
Proceedings Kurzbeiträge ASIM SST 2022, ARGESIM Report 19, ASIM Mitteilung 179, 21-24.
DOI: 10.11128/arep.20
Zacharias, Konstantin; Welsch, Dennis; Schlüter, Wolfgang; Buchele, Alexander (2022)
Proceedings Kurzbeiträge ASIM SST 2022, ARGESIM Report 19, ASIM Mitteilung 179, 43-46.
DOI: 10.11128/arep.19
Sover, Alexandru; Zink, Markus; Boca, Marius-Andrei; Schönbucher, T (2022)
4th International Conference Business Meets Technology, Valencia, Spain .
DOI: 10.4995/BMT2022.2022.15453
Eva, S.-C.; Sover, Alexandru; Ermolai, Vasile (2022)
4th International Conference Business Meets Technology, Valencia, Spain, 54-62.
DOI: 10.4995/BMT2022.2022.15547
Michalak, Martin; Boca, Marius-Andrei; Sover, Alexandru (2022)
4th International Conference Business Meets Technology, Valencia, Spain, 22-30.
DOI: 10.4995/BMT2022.2022.15466
Ermolai, Vasile; Sover, Alexandru; Nagit, Gheorghe (2022)
4th International Conference Business Meets Technology, Valencia, Spain, 1-11.
DOI: 10.4995/BMT2022.2022.15332
Lang, A; Boca, Marius-Andrei; Sover, Alexandru (2022)
4th International Conference Business Meets Technology, Valencia, Spain.
DOI: 10.4995/BMT2022.2022.15368
Riess, Christian; Walter, Michael S. J.; Tyroller, Maria; Gomolka, Lisa; Augustin, Johannes; Altieri, Mike (2022)
Riess, Christian; Walter, Michael S. J.; Tyroller, Maria; Gomolka, Lisa...
4th International Conference Business Meets Technology, Valencia, Spain.
DOI: 10.4995/BMT2022.2022.15624
Bölz, Annika; Gaisser, Sibylle (2022)
4th International Conference Business Meets Technology, Valencia, Spain, 313-316.
DOI: 10.4995/BMT2022.2022.16007
Hain, Christopher; Gaisser, Sibylle (2022)
4th International Conference Business Meets Technology, Valencia, Spain, 317.
DOI: 10.4995/BMT2022.2022.16007
The non-conventional yeast Yarrowia lipolytica is attracting increasing attention due to its potential to produce large amounts of organic acids from hydrophobic substrates. Due to the steadily increasing demand for citric acid in the industrial sector, the aim of this scientific work was to develop a predictive model of the citric acid productivity of the strain Yarrowia lipolytica DSM3286. As a basis for this, the optical density, pH, cell number and citric acid were determined in 18 identical mixtures.
The citric acid concentration (mean values of the measured concentration over time) follows a linear increase. Based on this, the mathematical calculation operation of linear regression was selected for modeling the prediction model in Python. The following coefficients were determined for the variables used in the learning algorithm:
• time: 6,104 * 10-4
• OD: -1,224 * 10-1
• pH value: -4,043 * 10-1
• Cell count: 1,749 * 10-8
In final validation of the program, a result accuracy of 86.5% was obtained. The result obtained in the present scientific work shows that by means of simple linear regression, over a cultivation period of 13 days, a prediction of the citric acid productivity of strain Yarrowia lipolytica DSM3286 is possible.
Paglia, Chiara; Stiehl, Annika; Uhl, Christian (2022)
In: Brito Palma, L., Neves-Silva, R., Gomes, L. (eds) CONTROLO 2022. CONTROLO 2022. Lecture Notes in Electrical Engineering, Springer, Cham 930, 205-213.
DOI: 10.1007/978-3-031-10047-5_18
Hochschule Ansbach