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dc.contributor.author
Sbarato, Viviana María
dc.contributor.author
Falchini, Gisele Evangelina
dc.contributor.author
Sánchez, Héctor José
dc.contributor.author
Perez, Roberto Daniel
dc.date.available
2022-12-16T12:35:18Z
dc.date.issued
2021-06
dc.identifier.citation
Sbarato, Viviana María; Falchini, Gisele Evangelina; Sánchez, Héctor José; Perez, Roberto Daniel; Monitoring of metal phytofiltration performance by micro-XRF methodology; Royal Society of Chemistry; Analytical Methods; 13; 24; 6-2021; 2701-2709
dc.identifier.issn
1759-9660
dc.identifier.uri
http://hdl.handle.net/11336/181475
dc.description.abstract
In this work, micro-XRF was considered as a possible technique for monitoring the rate of incorporation of Cu and Zn into aquatic plants of a laboratory-scale phytofiltration system. This system employed Salvinia biloba Raddi under controlled conditions of light and nutrients. This aquatic plant is being considered as an efficient hyperaccumulator of Cu and Zn and is widely spread in South American lakes and rivers. One set of plants was exposed to 40 ppm w/w of Cu and another to 40 ppm w/w of Zn. The analytical procedure was based on the periodic in vivo quantitative analysis of Cu and Zn at selected points in the plants using micro-XRF. The accuracy of this quantification was effectively improved with the assistance of the Monte Carlo XMI-MSIM simulation code. In order to establish the input parameters of this software, careful measurements of the experimental parameters necessary for the correct modeling of the micro-XRF spectrometer were performed. After that, specially manufactured standards made of tissue equivalent material were employed to validate the configuration of the simulation code and input parameters. It was fulfilled by the comparison of measured and simulated micro-XRF spectra of these standards. Once the configuration code and input parameters were verified, two strategies were considered for the application of Monte Carlo simulation for elemental quantification in plants: an iterative process and inverse method established with external virtual standards. Benefits and drawbacks of both approaches to improve the monitoring of phytofiltration systems were carefully discussed.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Royal Society of Chemistry
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
XRF
dc.subject
Phytoremediation
dc.subject
Monitoring
dc.subject.classification
Física Atómica, Molecular y Química
dc.subject.classification
Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Monitoring of metal phytofiltration performance by micro-XRF methodology
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-22T10:32:03Z
dc.identifier.eissn
1759-9679
dc.journal.volume
13
dc.journal.number
24
dc.journal.pagination
2701-2709
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Sbarato, Viviana María. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
dc.description.fil
Fil: Falchini, Gisele Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
dc.description.fil
Fil: Sánchez, Héctor José. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
dc.description.fil
Fil: Perez, Roberto Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
dc.journal.title
Analytical Methods
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://xlink.rsc.org/?DOI=D1AY00360G
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/DOI: 10.1039/d1ay00360g
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