Page 439 - IJB-9-2

International Journal of Bioprinting Shear-thinning and bioprinting parameters

convection of sodium alginate non-Newtonian fluid with 30. Sugiono S, Masruri M, Estiasih T, et al, 2019, Optimization
Al2O3 nanoparticle in a channel with block. J Appl Comput of extrusion-assisted extraction parameters and
Sci Mech, 32: 93–110. characterization of alginate from brown algae (Sargassum
cristaefolium). J Food Sci Technol, 56: 3687–3696.
https://doi.org/10.22067/JACSM.2021.40042
https://doi.org/10.1007/s13197-019-03829-z
28. Batalha LS, Gontijo MT, de Carvalho AV, et al., 2021,
Encapsulation in alginate-polymers improves stability and 31. Li V, Liu S, Li L, 2016, Rheological study on 3D printability
allows controlled release of the UFV-AREG1 bacteriophage. of alginate hydrogel and effect of graphene oxide. Int J
Food Res Int, 139: 109947. Bioprint, 2: 54–66.
https://doi.org/10.1016/j.foodres.2020.109947 https://doi.org/10.18063/IJB.2016.02.007
29. Sugiono S, Masruri M, Estiasih T, et al., 2019, Structural 32. Yürüsoy M, Pakdemirli M, 1999, Group classification of
and rheological characteristics of alginate from Sargassum a non-Newtonian fluid model using classical approach
cristaefolium extracted by Twin screw extruder. J Aquat and equivalence transformations. Int J Non Linear Mech,
Food Prod Technol, 28: 944–959. 34: 341–346.
https://doi.org/10.1080/10498850.2019.1665603 https://doi.org/10.1016/S0020-7462(98)00037-7

Volume 9 Issue 2 (2023) 431 https://doi.org/10.18063/ijb.687