dc.contributor.author | Gelves, German | |
dc.date.accessioned | 2021-10-18T14:42:27Z | |
dc.date.available | 2021-10-18T14:42:27Z | |
dc.date.issued | 2020-09-13 | |
dc.identifier.uri | http://repositorio.ufps.edu.co/handle/ufps/335 | |
dc.description.abstract | The purpose of this research consist of microalgae biomass productivity prediction
in a large scale plant from Chlorella vulgaris using SuperPro Designer software. Two culture
media were evaluated to identify their potential use in large-scale processes: (a) the Bold Basal
medium enriched with sodium acetate and (b) a growth medium for high cell density cultures
proposed from references. Results found in this research suggest that simulated plant should
reach a capacity to generate 1.4 kg/h of biomass at a cost of 1.44 USD/g using Bold Basal
medium. In contrast, a productivity of 28 kg/h at a cost of 0.14 USD/g was found using a
medium proliferation of highly dense microalgae cultures. These findings suggest that Bold
Basal medium could negatively impact operating costs, limiting its use in large-scale processes
regarding nutraceutics production. Results found here demonstrate the potential usage of
simulators for estimating costs and production which allows predicting the bioprocess
feasibility. | eng |
dc.format.extent | 09 páginas | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.publisher | Journal of Physics: Conference Series | spa |
dc.relation.ispartof | Journal of Physics: Conference Series. Vol.1655 012082(2020) | |
dc.rights | Content from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. | eng |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | spa |
dc.source | https://iopscience.iop.org/article/10.1088/1742-6596/1655/1/012082 | spa |
dc.title | Evaluating Cost-Effective Culture Media for Nutraceutics Production from Microalgae Using Computer-Aided Large Scale Predictions | eng |
dc.type | Artículo de revista | spa |
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dc.contributor.corporatename | Journal of Physics: Conference Series | spa |
dc.identifier.doi | 10.1088/1742-6596/1655/1/012082 | |
dc.publisher.place | Reino Unido | spa |
dc.relation.citationedition | Vol. 1655, No. 012082(2020) | spa |
dc.relation.citationendpage | 9 | spa |
dc.relation.citationissue | 012082(2020) | spa |
dc.relation.citationstartpage | 1 | spa |
dc.relation.citationvolume | 1655 | spa |
dc.relation.cites | A Ibanez et al 2020 J. Phys.: Conf. Ser. 1655 012082 | |
dc.relation.ispartofjournal | Journal of Physics: Conference Series | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.creativecommons | Atribución 4.0 Internacional (CC BY 4.0) | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.type.version | info:eu-repo/semantics/publishedVersion | spa |