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dc.contributor.author
González Fá, Alejandro Javier  
dc.contributor.author
Pignanelli, Fernando  
dc.contributor.author
López Corral, Ignacio  
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Faccio Sgiorovello, Ricardo Juan  
dc.contributor.author
Juan, Alfredo  
dc.contributor.author
Di Nezio, Maria Susana  
dc.date.available
2020-12-15T14:04:35Z  
dc.date.issued
2019-12  
dc.identifier.citation
González Fá, Alejandro Javier; Pignanelli, Fernando; López Corral, Ignacio; Faccio Sgiorovello, Ricardo Juan; Juan, Alfredo; et al.; Detection of oxytetracycline in honey using SERS on silver nanoparticles; Elsevier; Trac-Trends In Analytical Chemistry; 121; 12-2019; 1-33  
dc.identifier.issn
0165-9936  
dc.identifier.uri
http://hdl.handle.net/11336/120434  
dc.description.abstract
In this work, we made a review about the application of Raman spectroscopy for quality control of honey and other food samples. Simultaneously, it was carried out a new research evaluating silver nanoparticles (AgNPs) obtained by green synthesis for detection of the antibiotic Oxytetracycline (OTC), through Surface Enhanced Raman Spectroscopy (SERS). Glucose was used as reducing and capping agent in the formation of AgNPs in alkaline media. The frequencies found, belonging to the antibiotic at 20, 15, 10 and 5 ppb, could be visibly differentiated from those corresponding to honey, being unnecessary to perform any extraction procedure or tedious manipulation of the sample. Theoretical frequencies were obtained by Density Functional Theory calculations and compared with the normal modes from SERS measures, founding an excellent agreement between them. The analysis shows a preference for the adsorption of OTC on silver cluster through oxygen atoms.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
DFT  
dc.subject
HONEY  
dc.subject
OXYTETRACYCLINE  
dc.subject
SERS  
dc.subject
SILVER NANOPARTICLES  
dc.subject.classification
Química Inorgánica y Nuclear  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Detection of oxytetracycline in honey using SERS on silver nanoparticles  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-02-26T20:10:53Z  
dc.journal.volume
121  
dc.journal.pagination
1-33  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: González Fá, Alejandro Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina  
dc.description.fil
Fil: Pignanelli, Fernando. Universidad de la República; Uruguay  
dc.description.fil
Fil: López Corral, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina  
dc.description.fil
Fil: Faccio Sgiorovello, Ricardo Juan. Universidad de la República; Uruguay  
dc.description.fil
Fil: Juan, Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Física del Sur. Universidad Nacional del Sur. Departamento de Física. Instituto de Física del Sur; Argentina  
dc.description.fil
Fil: Di Nezio, Maria Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina  
dc.journal.title
Trac-Trends In Analytical Chemistry  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0165993619304546  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.trac.2019.115673