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dc.contributor.authorGakiya-Teruya, Miguel
dc.contributor.authorPalomino-Marcelo, Luis
dc.contributor.authorRodriguez-Reyes, Juan Carlos F.
dc.date.accessioned2021-03-16T23:23:01Z
dc.date.available2021-03-16T23:23:01Z
dc.date.issued2018-12-24
dc.identifier.issn2409-9279es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12815/199
dc.description.abstractIn spite of the widespread use of the chemical reduction method to obtain silver nanoparticles, the nanoparticle yield is often low due to a required addition of small volumes of diluted metal ions to a solution containing a reducer. Higher yields can be obtained following an alternative method, in which the reducer is added to a greater volume of silver ions in the solution. In this study, protocols for both methods are detailed and compared, using characterization tools such as UV-vis spectrometry, dynamic light scattering (DLS), and zeta potential measurements. By using this alternative method, the amount of silver in the solution is three times greater, and nanoparticles with a narrower size distribution are formed (between 6 and 70 nm in size). In contrast, the regular method produces particles of 3 and 100 nm. Zeta potential measurements indicate that the nanoparticles synthesized with the alternative method will be more stable than those from the regular method.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherMDPIes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceRepositorio Institucional UTECes_PE
dc.sourceUniversidad de Ingeniería y Tecnología - UTECes_PE
dc.subjectSilver nanoparticleses_PE
dc.subjectUV-VIS spectrometryes_PE
dc.subjectDynamic light scatteringes_PE
dc.subjectFrens methodes_PE
dc.titleSynthesis of highly concentrated suspensions of silver nanoparticles by two versions of the chemical reduction methodes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.doihttps://doi.org/10.3390/mps2010003es_PE
dc.identifier.journalMethods and Protocolses_PE


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