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Karin Kovar – Verena Looser – Iwo Zamora

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Präsentation zum Thema: "Karin Kovar – Verena Looser – Iwo Zamora"—  Präsentation transkript:

1 Karin Kovar – Verena Looser – Iwo Zamora
Das bewegte Papier Karin Kovar – Verena Looser – Iwo Zamora 1 1

2 papierlos = digital (& virtuell)
Ablage im Moodle ‘neue’ Didaktik NEULAND VS. 2 2

3 Erfahrungsbericht Simulation
Was ist «papierlos»? Erfahrungsbericht Simulation Analogie Dialog

4 microbial physiology (ecology)
Wädenswil Bioprocess Technology & Informatics (since 1999) microbial physiology (ecology) engineering data ‚mining‘

5 bacteria microalgae E. coli Chlorella Bacillus Scenedesmus etc.
Galdieria Trachydiscus etc. Pichia pastoris Saccharomyces Hansenula Yarrowia yeast 5 5


7 Prozessdaten # 174 Prozesse and # 97 Variablen

8 Das bewegte Papier 8 8

9 16 cells 64 cells 512 cells 256 cells 8 cells 2 cells 4 cells 1 cell
9 9

10 26 cells 27 cells 28 cells 210 cells 24 cells 25 cells 20 cells

11 Simulation 1, 2, 4, 8, 16, 32, 64, 128, …10x 20, 22, 23, 24, 25, 26, ….2n 11 11

12 ?

13 didaktisches Szenario
angewandte Datenanalyse (angewandte) Mathematik Biochemie Biotechnologie Ingenieurwesen Verfahrenstechnik Molekularbiologie Physiologie T R S E Theorie – Rechenübungen – Simulation – Experiment

14 Bachelor = Praxis 3 2

15 Erfahrungsbericht Simulation
Was ist «papierlos»? Erfahrungsbericht Simulation Analogie Dialog

16 hands-on laboratory experiments

17 hands-on laboratory experiments

18 hands-on laboratory experiments

19 hands-on laboratory experiments

20 hands-on laboratory experiments

21 Mitdenken & Notieren (Moodle in der Regel…)

22 Substrat wird verbraucht.
Biomasse wird gebildet.

23 Das «Pulver»… …wird zu Biomasse.

24 What-if

25 Simulation

26 - -- - -- ++ + ++ + Evaluation Blockkurs Vorlesung & Praktikum
Basel Waedenswil - -- - -- ++ + ++ + n = 31 n = 33 Die PC-Übungen haben mir geholfen, den Vorlesungsinhalt zu begreifen. Die Arbeit mit der Simulation hat dazu beigetragen, dass ich den vorgelesenen Stoff besser begriffen habe. Die Aufgabe ist sehr aufwändig, aber sinnvoll.

27 Was ist «papierlos»? Swiss Virtual Campus

28 further prospects – biotechLAB

29 Erfahrungsbericht Simulation
Was ist «papierlos»? Erfahrungsbericht Simulation Analogie Dialog

30 qp = f(qs, µ, etc.) ?

31 Computer: Berechnungen
Optimierung Labor: Datenerhebung Computer: Berechnungen Mensch: heuristisches Wissen 31 31

32 Optimierung μopt ? qp,max 32 32

33 Analogien Beutelmull Goldmull Gürtelmull ? 33 33

34 Analogien P. pastoris Organismus? μopt qp,max 34 Variante 1 Variante 2

35 Verifizierung 35 35

36 Verifizierung 36 36

37 Simulationen 37 37

38 NBO FBaid µoptimal µ - control in fedbatch Most biotechnological manufacturing processes are carried out in fedbatch mode Majority of industrial relevant products have a partly growth linked product formation Screening / early stage development has to be done under production conditions (Lattermann & Büchs, 2015)  product development specialists have to be able to do fedbatchs Generally the most biotechnological manufacturing processes are carried out in fedbatch mode Additionally have the majority of industrial relevant products a partly growth linked product formation. That means the productivity of an organism is linked with it’s specific growth rate.

39 Bench-top bioreactors
NBO FBaid Shake flasks Micro-bioreactors ambr15™ Bench-top bioreactors Of course there are already different tools on the market to do fedbatch cultivations in a easy or automated way. But most of the tools haven’t the possibility to really control the specific growth rate of the production organism like shake flasks with enzymatically controlled substrate release. You can reach higher biomass- and product concentrations but you wont be able to control the specific growth rate. In the case of micro-bioreactors the addition of substrate ist done with pulses, that means you have like repeated batch cultivations so they growing with maximum speed until the substrate is consumed and then they don’t growt until the next substrate addition is happening and they grow with maximum speed again. There are also such parallel bioreactor systems like this ambr15 with a higher bioreactor volume. In this systems are real Fedbatch processes possible but they are very very expensive. Our conclusion was that the best alternative would be relatively priceless benchtop reactors with a software tool which guides the user through the preparation, cultivation and data evaluation of a Fedbatch process. To make a long story short: the outcome of our NBO report was, that such a software tool itselfe wouldn’t be feasible. But if we would cooperate with a reactorbulding company which integrates the tool in the already existing process control system. The market access would be better and it could be a feasible business case. For the cooperation we identified Infors HT as a good partner. Because they are a swiss reactor building company and there were already some contacts established between Karin Kovar an Infors HT Enzymatically controlled substrate release High-throughput screening in micro-, mili-scale Software computational approach to control conversion rates

40 Concept/Idea of my NBO Commercial software that guides users through the analysis of data gained from bioprocesses The question of my NBO was if a it solution which


42 Lehren wir, was wir forschen? Forschen wir, was wir lehren?
Was ist «papierlos»? Lehren wir, was wir forschen? Forschen wir, was wir lehren?

43 Erfahrungsbericht Simulation
Was ist «papierlos»? Erfahrungsbericht Simulation Analogie Dialog

44 Why is a disciplined approach to NBD so critical?
raw ideas (3,000) ideas submitted (300) small projects (125 vs. 22) early stage development (9) major development (4) launches (1.7) market success (1) Stevens and Burley, Raw Ideas = 1 Commercial Success!, Research Technology Management, 40(3): 16-27

45 questions #3 – course content
What should the students’ analysis do? Describe the current, specific state-of-the-art including a comparison with product and technology alternatives.  Provide an assessment of the novelty of the product or technology and a summary of the intellectual property landscape. Provide an estimate of the total market potential for the product or technology including an assessment of the influence of competitive products and an indication of the expected impact of the product or technology on the value chain. Draw conclusions on the state-of-the-art of the science/technology and the likelihood of commercial success of the technology and outline recommendations for the “path forward”.  Highlight additional product or technology development opportunities and opportunities for further innovation. Impress their stakeholders through the quality and thoroughness of the analysis.

46 course objectives (biotechnology – business – skills)
future trends in bio-process technology innovation (molecule, indication, organism, technology…) new business development (best practices & tools) analysis (critical thinking, incomplete information, etc.) information – knowledge – decision

47 biofuels microalgae (Chlorella sp.) bio-fuels

48 2010: 630 microalgae (10% reactor) (fossil) crude oil price
science vs. economics 2010: 630 microalgae (10% reactor) (fossil) crude oil price # publications

49 crude oil price * * * Mars mission 1 2 3 4 5 1 2nd oil crisis
2 Iran-Iraq war 3 Gulf war 4 financial crisis 5 EU dept crisis * Kyoto Protocol * Mars mission Aquatic Species Program (US) since 2008 Bundesalgenstammtisch (D) Biomass Program (US) Japanese ‘Programs’ Source: Capital Professional Services, LLC, Updated May 13, 2011; Prices are adjusted for Inflation to April 2011 prices using the Consumer Price Index (CPI-U) as presented by the Bureau of Labor Statistics


51 15

52 16

53 Das bewegte Papier 53 53

54 mutual benefits etc.

55 ZHAW-Jahresbericht 2015, Seite 13

56 papierlos + beweglich + interaktiv + selbstbestimmend + aufwendig
Was ist «papierlos»? papierlos + beweglich + interaktiv + selbstbestimmend + aufwendig

57 course structure steps of knowledge acquisition methods i a e p d i a
d - design of experiment (& hypothesis) p - preparation e - laboratory experiment a - data analysis i - interpretation/conclusion d - design of experiment e p d SL i a M e SC p d methods SC CYCLICAL SUBJECT MATTER acquisition SL LOGICAL SUBJECT MATTER acquisition M METHODICAL acquisition



60 valuable painting in a suitable frame…
…we are improving 60 60

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