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Applying the Nernst Equation to Control ORP in Denitrification Process for Uranium-Containing Nuclear Effluent with High Loads of Nitrogen and COD

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dc.contributor.authorVenturini, M.
dc.contributor.authorRossen, A.
dc.contributor.authorBucci, P.
dc.contributor.authorSilva Paulo, P.
dc.date.accessioned2024-01-18T14:28:18Z
dc.date.available2024-01-18T14:28:18Z
dc.date.issued2022-07
dc.descriptionFil: Venturini, M. Ministerio de Economía. Secretaría de Energía. Comisión Nacional de Energía Atómica. Laboratorio de Biominería y Biotecnología Ambiental; Argentina.
dc.descriptionFil: Rossen, A. Ministerio de Economía. Secretaría de Obras Públicas. Instituto Nacional del Agua. Subgerencia Laboratorio de Calidad de Aguas. Laboratorio Experimental de Tecnologías Sustentables; Argentina.
dc.descriptionFil: Bucci, P. Ministerio de Capital Humano. Secretaría de Educación. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Tecnología de Crioalimentos; Argentina.
dc.descriptionFil: Silva Paulo, P. Ministerio de Economía. Secretaría de Energía. Comisión Nacional de Energía Atómica. Laboratorio de Biominería y Biotecnología Ambiental; Argentina.
dc.description.abstractSeveral reviews of denitrification have shown it to be an efficient process for treating high nitrate-loaded effluents from nuclear industries. However, stressful conditions adversely affect biological kinetic parameters and performance. Additionally, actual nuclear effluents contain multiple pollutants and radioactive emissions that could render implementation difficult. The objective of this study was to treat and recycle water from nuclear industries by using a mixture of blended real nuclear wastewater (BRNW). The process was carried out under physicochemical parameters control in a biological model to established a technical setup and to model the denitrification process in a real nuclear wastewater effluent. Denitrification processes were carried out in the wastewater sample under controlled ORP conditions by the Hill model to establish the kinetic model. The results show a complete elimination of nitrate by the bacteria. Indicators of biochemical reactions were used to obtain a model based on Monod and controlled ORP. The good fit of the proposed model was verified under empirical and simulated conditions. To establish optimal performance, it was necessary to add 3% v/v of methanol, as a carbon source, to remove the nitrate in BRNW. Isolation techniques confirmed that Pseudomonas spp. was the dominant bacteria. Gene expression demonstrated the lack of inhibition of the NosZ gene responsible for the reduction in nitric oxide, a “greenhouse gas”. Finally, COD and uranium were removed from the liquid by precipitation. At the end of the process, the treated effluent could potentially be reused in industrial processes, recycling most of the wastewater effluents.
dc.description.fil(1) Laboratorio de Biominería y Biotecnología Ambiental, Comisión Nacional de Energía Atómica. (2) Laboratorio Experimental de Tecnologías Sustentables, Centro de Tecnología del Uso del Agua, Instituto Nacional del Agua. (3) Centro de Investigación y Desarrollo en Tecnología de Crioalimentos, Facultad de Ciencias Exactas, Universidad Nacional de La Plata.
dc.identifier.citationVenturini, M., Rossen, A., Bucci, P. y Silva Paulo, P. (2022). Applying the Nernst Equation to Control ORP in Denitrification Process for Uranium-Containing Nuclear Effluent with High Loads of Nitrogen and COD. Water 14 (14): 2227. https://doi.org/10.3390/w14142227
dc.identifier.issn2073-4441
dc.identifier.urihttps://repositorio.ina.gob.ar/handle/123456789/571
dc.language.isoen
dc.publisherMDPI
dc.titleApplying the Nernst Equation to Control ORP in Denitrification Process for Uranium-Containing Nuclear Effluent with High Loads of Nitrogen and COD
dc.typeArtículo
dc.type.versionVersión publicada

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