Das bewegte Papier Karin Kovar Verena Looser Iwo

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

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

Was ist «papierlos» ? Erfahrungsbericht Simulation Analogie Dialog 3

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

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

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Prozessdaten # 174 Prozesse and # 97 Variablen 7

Das bewegte Papier 8

1024 cells 512 cells 256 cells 128 cells 16 cells 64 cells 32 cells 8 cells 4 cells 2 cells 1 cell 9

5 7 9 8 1 2 0 4 6 3 cells 2210 cells 10

Simulation 1, 2, 4, 8, 16, 32, 64, 128, 256. . . … 10 x 20, 22, 23, 24, 25, 26, 27. . . …. 2 n 11

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

Bachelor = Praxis 14

Was ist «papierlos» ? Erfahrungsbericht Simulation Analogie Dialog 15

hands-on laboratory experiments 16

hands-on laboratory experiments 17

hands-on laboratory experiments 18

hands-on laboratory experiments 19

hands-on laboratory experiments 20

Mitdenken & Notieren (Moodle in der Regel…) 21

Substrat wird verbraucht. Biomasse wird gebildet. 22

Das «Pulver» … …wird zu Biomasse. 23

What-if 24

Simulation 25

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

Was ist «papierlos» ? Swiss Virtual Campus www. biotechlab. net 27

further prospects – biotech. LAB 28

Was ist «papierlos» ? Erfahrungsbericht Simulation Analogie Dialog 29

qp = f(qs, µ, etc. ) ? 30

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

Optimierung μopt 0. 12 ? qp (mg g. CDW-1 h-1) 0. 1 0. 08 0. 06 0. 04 qp, max 0. 02 0 0 0. 01 0. 02 0. 03 μ (h-1) 0. 04 0. 05 32

Analogien Beutelmull Goldmull Gürtelmull ? 33

Analogien μopt 0. 12 P. pastoris Variante 1 qp (mg g. CDW-1 h-1) 0. 1 Organismus? qp, max 0. 08 Variante 2 0. 06 0. 04 Variante 3 0. 02 0 0 0. 01 0. 02 0. 03 μ (h-1) 0. 04 0. 05 34

Verifizierung 0. 12 qp (mg g. CDW-1 h-1) 0. 1 0. 08 0. 06 0. 04 0. 02 0 0 0. 01 0. 02 0. 03 μ (h-1) 0. 04 0. 05 35

Verifizierung 36

Simulationen 37

NBO FBaid - Most biotechnological manufacturing processes are carried out in fedbatch mode µoptimal - 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) µ - control in fedbatch product development specialists have to be able to do fedbatchs 38

NBO FBaid Shake flasks Micro-bioreactors Bench-top bioreactors ambr 15™ Enzymatically controlled substrate release High-throughput screening in micro-, mili-scale Software computational approach to control conversion rates 39

Concept/Idea of my NBO Commercial software that guides users through the analysis of data gained from bioprocesses 40

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

Was ist «papierlos» ? Erfahrungsbericht Simulation Analogie Dialog 43

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, 1997. 3000 Raw Ideas = 1 Commercial Success!, Research Technology Management, 40(3): 16 -27 44

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. 45

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 46

biofuels microalgae (Chlorella sp. ) bio-fuels 47

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

crude oil price 1 2 3 * 45 * 1 2 nd oil crisis 2 Iran-Iraq war 3 Gulf war 4 financial crisis 5 EU dept crisis * Kyoto Protocol * Mars mission 1987 -1998 Aquatic Species Program (US) since 2008 Bundesalgenstammtisch (D) 2011 -2022 Biomass Program (US) Japanese ‘Programs’ Source: Capital Professional Services, LLC, Updated May 13, 2011; http: //inflationdata. com/inflation_rate/historical_oil_prices_table. asp Prices are adjusted for Inflation to April 2011 prices using the Consumer Price Index (CPI-U) as presented by the Bureau of Labor Statistics 49

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Das bewegte Papier 53

mutual benefits etc. 54

ZHAW-Jahresbericht 2015, Seite 13

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

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

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