Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1065470
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dc.contributor.authorMACHADO, R. C.eng
dc.contributor.authorVIRGILIO, A.eng
dc.contributor.authorAMARAL, C. D. B. doeng
dc.contributor.authorSCHIAVO, D.eng
dc.contributor.authorNOBREGA, J. de A.eng
dc.contributor.authorNOGUEIRA, A. R. de A.eng
dc.date.accessioned2019-03-28T00:33:10Z-
dc.date.available2019-03-28T00:33:10Z-
dc.date.created2017-02-23
dc.date.issued2016
dc.identifier.citationJournal of the Brazilian Chemical Society, v. 27, n. 11, p. 2076-2081, 2016.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1065470-
dc.descriptionIn the present work, an inductively coupled plasma-tandem mass spectrometer (ICP-MS/MS) operating in single quadrupole and mass shift modes were evaluated for As determination in mineral fertilizers and agricultural gypsum with high contents of rare earth elements. For MS/MS mode, oxygen was the gas introduced into the octopole reaction system (ORS3 ). Samples were prepared by microwave-assisted digestion with diluted nitric acid solution. The accuracy was checked by analysis of a fertilizer certified reference material (NIST SRM 695) and by addition and recovery experiments. When operating in single quadrupole mode, recoveries ranged from 59 to 151%; while values obtained by MS/MS mode varied from 81 to 105% when 0.30 mL min-1 O2 was introduced into the ORS3 . Limits of detection for As+ in single quadrupole and AsO+ in MS/MS mass shift mode were 6 and 9 ng L-1, respectively.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectDouble charged interferenceeng
dc.subjectFertilizereng
dc.titleEvaluation of inductively coupled plasma tandem mass spectrometry for determination of as in agricultural inputs with high REE contents.eng
dc.typeArtigo de periódicoeng
dc.date.updated2019-03-28T00:33:10Z
dc.subject.nalthesaurusarseniceng
riaa.ainfo.id1065470eng
riaa.ainfo.lastupdate2019-03-27
dc.identifier.doihttp://dx.doi.org/10.5935/0103-5053.20160098eng
dc.contributor.institutionRaquel Cardoso Machado, UFSCar; Alex Virgilio, UFSCar; Clarice Dias Britto do Amaral, UFSCar; Daniela Schiavo, Agilent Technologies; Joaquim de Araújo Nobrega, UFSCar; ANA RITA DE ARAUJO NOGUEIRA, CPPSE.eng
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