References
1 Godfray, H.C.J., Aveyard, P., Garnett, T., Hall, J.W., Key, T.J.,
Lorimer, J., Pierrehumbert, R.T., Scarborough, P., Springmann, M., and
Jebb, S.A. (2018). Meat consumption, health, and the environment.
Science 361, eaam5324.
2 Lynch, J., and Pierrehumbert, R. (2019). Climate impacts of cultured
meat and beef cattle. Frontiers in Sustainable Food Systems 3.
3 Alexander, P., Brown, C., Arneth, A., Dias, C., Finnigan, J., Moran,
D., and Rounsevell, M.D.A. (2017). Could consumption of insects,
cultured meat or imitation meat reduce global agricultural land use?
Global Food Security 15, 22-32.
4 Dolgin, 2019. Accessed Sept-2019https://www.nature.com/articles/d41586-019-00373-w
5 Cassiday, 2018. Accessed Oct-2019.https://www.aocs.org/stay-informed/inform-magazine/featured-articles/clean-meat-february-2018
6 Towell, L. 2018. Accessed Sept-2019http://www.nextleapdesign.com/wptest/2018/09/14/good-food-conference-2018/
7 AT Kearney, 2019. Accessed Sept-2019https://www.atkearney.com/retail/article/?/a/how-will-cultured-meat-and-meat-alternatives-disrupt-the-agricultural-and-food-industry
8 Zhang, Y., Qin, C., Yang, L., Lu, R., Zhao, X., and Nie, G. (2018). A
comparative genomics study of carbohydrate/glucose metabolic genes: From
fish to mammals. BMC Genomics 19, 246.
9 CusaBio, 2018. Accessed Sept-2019https://www.cusabio.com/c-20844.html#a02
10 Allan, S.J., De Bank, P.A., and Ellis, M.J. (2019a). Bioprocess
design considerations for cultured meat production with a focus on the
expansion bioreactor. Frontiers in Sustainable Food Systems 3.
11 Galleguillos, S.N., Ruckerbauer, D., Gerstl, M.P., Borth, N.,
Hanscho, M., and Zanghellini, J. (2017). What can mathematical modelling
say about CHO metabolism and protein glycosylation? Computational and
Structural Biotechnology Journal 15, 212-221.
12 Fouladiha, H., Marashi, S.-A., Shokrgozar, M.A., Farokhi, M., and
Atashi, A. (2018). Applications of a metabolic network model of
mesenchymal stem cells for controlling cell proliferation and
differentiation. Cytotechnology 70, 331-338.
13 Arora, M. (2013). Cell culture media: A review. Materials and Methods
3, 1–29.
14 Singh, V., Haque, S., Niwas, R., Srivastava, A., Pasupuleti, M., and
Tripathi, C.K.M. (2017). Strategies for fermentation medium
optimization: An in-depth review. Frontiers in Microbiology 7.
15 Zhang, G., Olsen, M. and Block, D.E. 2007. New experimental design
method for highly nonlinear and dimensional processes. AIChE Journal
56(8): 2013–25.
16 Weuster-Botz, D. 2000. Experimental design for fermentation media
development: Statistical design or global random search? Journal of
Bioscience and Bioengineering 90(5): 473–83.
17 Havel, J., Link, H., Hofinger, M., Franco-Lara, E., and Weuster-Botz,
D. (2006). Comparison of genetic algorithms for experimental
multi-objective optimization on the example of medium design for
cyanobacteria. Biotechnology Journal 1, 549-555.
18 Zhang, G., and Block, D.E. 2009. Using highly efficient nonlinear
experimental design methods for optimization of Lactococcus
lactis fermentation in chemically defined media. Biotechnology Progress
25(6): 1587–97.
19 Ratle A. (1998). Accelerating the convergence of evolutionary
algorithms by fitness landscape approximation. In: Eiben A.E., Bäck T.,
Schoenauer M., Schwefel HP. (eds) Parallel Problem Solving from Nature
— PPSN V. PPSN 1998. Lecture Notes in Computer Science, vol 1498.
Springer, Berlin, Heidelberg
20 Jin, Y. (2005). A comprehensive survey of fitness approximation in
evolutionary computation. Soft Computing 9(1): 3–12.
21 Coleman, M. C., and Block, D.E. 2007. Nonlinear experimental design
using bayesian regularized neural networks. AIChE Journal 56(4):
1495–1502.
22 Youssef, N. A. 1995. A review on optimal experimental design. 1(1):
1–7.
23 Coletti, F., Macchietto, S., and Elvassore, N. (2006). Mathematical
modeling of three-dimensional cell cultures in perfusion bioreactors.
Industrial & Engineering Chemistry Research 45, 8158-8169.
24 Flaibani, M., Magrofuoco, E., and Elvassore, N. (2010). Computational
modeling of cell growth heterogeneity in a perfused 3D scaffold.
Industrial & Engineering Chemistry Research 49, 859-869.
25 Shakeel, M., Matthews, P.C., Graham, R.S., and Waters, S.L. (2011). A
continuum model of cell proliferation and nutrient transport in a
perfusion bioreactor. Mathematical Medicine and Biology: A Journal of
the IMA 30, 21-44.
26 Guyot, Y., Papantoniou, I., Luyten, F.P., and Geris, L. (2016).
Coupling curvature-dependent and shear stress-stimulated neotissue
growth in dynamic bioreactor cultures: A 3D computational model of a
complete scaffold. Biomechanics and Modeling in Mechanobiology 15,
169-180.
27 Nguyen, B.N., Ko, H., and Fisher, J.P. (2016). Tunable osteogenic
differentiation of hMPCs in tubular perfusion system bioreactor.
Biotechnology and Bioengineering 113, 1805-1813.
28 Hendrikson, W.J., Deegan, A.J., Yang, Y., van Blitterswijk, C.A.,
Verdonschot, N., Moroni, L., and Rouwkema, J. (2017). Influence of
additive manufactured scaffold architecture on the distribution of
surface strains and fluid flow shear stresses and expected osteochondral
cell differentiation. Frontiers in Bioengineering and Biotechnology 5.
29 Bayrak, E.S., Wang, T., Cinar, A., and Undey, C. (2015).
Computational modeling of fed-batch cell culture bioreactor: Hybrid
agent-based approach. IFAC-PapersOnLine 48, 1252-1257.
30 Hutmacher, D.W., and Singh, H. (2008). Computational fluid dynamics
for improved bioreactor design and 3D culture. Trends in Biotechnology
26, 166-172.
31 GE Healthcare Life Sciences. Microcarrier cell culture: principles
and methods.http://www.gelifesciences.co.kr/wp-content/uploads/2016/07/023.8_Microcarrier-Cell-Culture.pdf
32 Croughan, M.S., Hamel, J.F., and Wang, D.I. (1987). Hydrodynamic
effects on animal cells grown in microcarrier cultures. Biotechnology
and Bioengineering 29, 130-141.
33 Merten, O.-W. (2015). Advances in cell culture: Anchorage dependence.
Philos Trans R Soc Lond B Biol Sci 370, 20140040-20140040.
34 Pollack, S.R., Meaney, D.F., Levine, E.M., Litt, M., and Johnston,
E.D. (2000). Numerical model and experimental validation of microcarrier
motion in a rotating bioreactor. Tissue Engineering 6, 519-530.
35 Whitford, W.G., Cadwell, J.J.S., 2009. Accessed Nov-19.https://bioprocessintl.com/analytical/upstream-development/interest-in-hollow-fiber-perfusion-bioreactors-is-growing-185120/
36 Mohebbi-Kalhori, D., Behzadmehr, A., Doillon, C.J., and Hadjizadeh,
A. (2012). Computational modeling of adherent cell growth in a
hollow-fiber membrane bioreactor for large-scale 3-D bone tissue
engineering. Journal of artificial organs : the official journal of the
Japanese Society for Artificial Organs 15, 250-265.
37 Allan, S.J., De Bank, P.A., Ellis, M.J. (2019b). Scaling hollow fiber
bioreactors for culture of myoblasts. In 5th International Conference on
Cultured Meat (Maastricht), p. 13.
38 Miotto, M., Gouveia, R., Abidin, F.Z., Figueiredo, F., and Connon,
C.J. (2017). Developing a continuous bioprocessing approach to stromal
cell manufacture. ACS Applied Materials & Interfaces 9, 41131-41142.
39 Miotto, M., Groenewegen, L., Connon, C. (2019). Continuous
bioprocessing to scale-up cell manufacture. In 5th International
Conference on Cultivated Meat, M. Post, ed. (Maastricht, Netherlands),
p. 12.
40 Tapia, F., Vázquez-Ramírez, D., Genzel, Y., and Reichl, U. (2016).
Bioreactors for high cell density and continuous multi-stage
cultivations: Options for process intensification in cell culture-based
viral vaccine production. Applied Microbiology and Biotechnology 100,
2121-2132.
41 Stephenson, M., and Grayson, W. (2018). Recent advances in
bioreactors for cell-based therapies. F1000Research 7.
42 Zhan, C., Hagrot, E., Brandt, L., and Chotteau, V. (2019). Study of
hydrodynamics in wave bioreactors by computational fluid dynamics
reveals a resonance phenomenon. Chemical Engineering Science 193, 53-65.
43 Chan, B.P., and Leong, K.W. (2008). Scaffolding in tissue
engineering: General approaches and tissue-specific considerations.
European Spine Journal 17 Suppl 4, 467-479.
44 Olivares, A.L., and Lacroix, D. (2013). Computational methods in the
modeling of scaffolds for tissue engineering. In Computational Modeling
in Tissue Engineering, L. Geris, ed. (Berlin, Heidelberg: Springer
Berlin Heidelberg), pp. 107-126.
45 German, C.L., and Madihally., S.V. (2016). Applications of
computational modelling and simulation of porous medium in tissue
engineering. Computation 4, 7.
46 Chantarapanich, N., Puttawibul, P., Sucharitpwatskul, S.,
Jeamwatthanachai, P., Inglam, S., and Sitthiseripratip, K. (2012).
Scaffold library for tissue engineering: a geometric evaluation.
Computational and Mathematical Methods in Medicine 2012, 407805.
47 Aznar, J.M.G., Valero, C., Borau, C., and Garijo, N. (2016).
Computational mechano-chemo-biology: A tool for the design of tissue
scaffolds. Biomanufacturing Reviews 1, 2.
48 Pereira, R.F., Freitas, D., Tojeira, A., Almeida, H.A., Alves, N.,
and Bártolo, P.J. (2014). Computer modelling and simulation of a
bioreactor for tissue engineering. International Journal of Computer
Integrated Manufacturing 27, 946-959.