Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater
Producción Científica
| Autores: | , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | España |
| Recursos: | Universidad de Valladolid |
| Repositorio: | UVaDOC. Repositorio Documental de la Universidad de Valladolid |
| OAI Identifier: | oai:uvadoc.uva.es:10324/37240 |
| Acesso em linha: | https://doi.org/10.1016/j.scitotenv.2019.07.126 http://uvadoc.uva.es/handle/10324/37240 |
| Access Level: | acceso abierto |
| Palavra-chave: | Algal-bacterial processes Procesos algal-bacterianos Emerging pullutants Contaminantes emergentes Microcontaminants Microcontaminantes Swine manure Estiércol porcino |
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oai:uvadoc.uva.es:10324/37240 |
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Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewaterLópez Serna, RebecaGarcía Guzmán, Dimas AlbertoBolado Rodríguez, SilviaJiménez Sevilla, Juan JoséLai, Foon YinGolovko, OksanaGago Ferrero, PabloAhrens, LutzWiberg, KarinMuñoz Torre, RaúlAlgal-bacterial processesProcesos algal-bacterianosEmerging pullutantsContaminantes emergentesMicrocontaminantsMicrocontaminantesSwine manureEstiércol porcinoProducción CientíficaTraditional swine manure treatments are not fully effective in the removal of veterinary drugs. Moreover, they are costly and entail a significant carbon footprint in many cases. Innovative biological approaches based on phototrophic microorganisms have recently emerged as promising alternatives to overcome those limitations. This work evaluated the removal of 19 veterinary drugs (i.e., 16 antibiotics, 1 analgesic, 1 anti-parasitic and 1 hormone) from piggery wastewater (PWW) in two open photobioreactors (PBR) operated with a consortium of microalgae-bacteria (AB-PBR) and purple photosynthetic bacteria (PPB-PBR). Multiple hydraulic retention times (HRT), in particular 11, 8 and 4 days, were tested during stage I, II and III, respectively. Ten out of 19 target compounds were detected with inlet drug concentrations ranging from ‘non-detected’ (n.d.) to almost 23,000 ng L−1 for the antibiotic oxytetracycline. Moreover, three of the antibiotics (i.e., enrofloxacin, sulfadiazine and oxytetracycline) were found at concentrations above the analytical linearity range in some or all of the samples under study. AB-PBR supported higher removal efficiencies (REs) than PPB-PBR, except for danofloxacin. Overall, REs progressively decreased when decreasing the HRT. The highest REs (>90%) were observed for doxycycline (95 ± 3%) and oxytetracycline (93 ± 3%) in AB-PBR during stage I. The other drugs, except sulfadimidine that was the most recalcitrant, showed REs above 70% during stage I in the same photobioreactor. In contrast, no removal was observed for danofloxacin in AB-PBR during stage III, sulfadimidine in PPB-PBR during stage III or marbofloxacin in PPB-PBR during the entire experiment.Gobierno regional de Castilla y León- FEDER (CLU 2017-09 and UIC71)EURICA program (Erasmus Mundus Action 2, Strand 1, Lot 15, grant 2013-2587)Ministerio de Ciencia, Innovación y Universidades (projects JCI-2015-23304, RED NOVEDAR and CTQ2017-84006-C3-1-R)Elsevier2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.scitotenv.2019.07.126http://uvadoc.uva.es/handle/10324/37240reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://www.sciencedirect.com/science/article/pii/S0048969719332395info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:uvadoc.uva.es:10324/372402026-06-13T12:44:47Z |
| dc.title.none.fl_str_mv |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater |
| title |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater |
| spellingShingle |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater López Serna, Rebeca Algal-bacterial processes Procesos algal-bacterianos Emerging pullutants Contaminantes emergentes Microcontaminants Microcontaminantes Swine manure Estiércol porcino |
| title_short |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater |
| title_full |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater |
| title_fullStr |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater |
| title_full_unstemmed |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater |
| title_sort |
Photobioreactors based on microalgae-bacteria and purple phototrophic bacteria consortia: A promising technology to reduce the load of veterinary drugs from piggery wastewater |
| dc.creator.none.fl_str_mv |
López Serna, Rebeca García Guzmán, Dimas Alberto Bolado Rodríguez, Silvia Jiménez Sevilla, Juan José Lai, Foon Yin Golovko, Oksana Gago Ferrero, Pablo Ahrens, Lutz Wiberg, Karin Muñoz Torre, Raúl |
| author |
López Serna, Rebeca |
| author_facet |
López Serna, Rebeca García Guzmán, Dimas Alberto Bolado Rodríguez, Silvia Jiménez Sevilla, Juan José Lai, Foon Yin Golovko, Oksana Gago Ferrero, Pablo Ahrens, Lutz Wiberg, Karin Muñoz Torre, Raúl |
| author_role |
author |
| author2 |
García Guzmán, Dimas Alberto Bolado Rodríguez, Silvia Jiménez Sevilla, Juan José Lai, Foon Yin Golovko, Oksana Gago Ferrero, Pablo Ahrens, Lutz Wiberg, Karin Muñoz Torre, Raúl |
| author2_role |
author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Algal-bacterial processes Procesos algal-bacterianos Emerging pullutants Contaminantes emergentes Microcontaminants Microcontaminantes Swine manure Estiércol porcino |
| topic |
Algal-bacterial processes Procesos algal-bacterianos Emerging pullutants Contaminantes emergentes Microcontaminants Microcontaminantes Swine manure Estiércol porcino |
| description |
Producción Científica |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
https://doi.org/10.1016/j.scitotenv.2019.07.126 http://uvadoc.uva.es/handle/10324/37240 |
| url |
https://doi.org/10.1016/j.scitotenv.2019.07.126 http://uvadoc.uva.es/handle/10324/37240 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S0048969719332395 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid instname:Universidad de Valladolid |
| instname_str |
Universidad de Valladolid |
| reponame_str |
UVaDOC. Repositorio Documental de la Universidad de Valladolid |
| collection |
UVaDOC. Repositorio Documental de la Universidad de Valladolid |
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| repository.mail.fl_str_mv |
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1869416031408095232 |
| score |
15.301603 |