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dc.contributor.authorSEGNINI, A.pt_BR
dc.contributor.authorXAVIER, A. A. P.pt_BR
dc.contributor.authorOTAVIANI JÚNIOR, P. L.pt_BR
dc.contributor.authorFERREIRA, E. C.pt_BR
dc.contributor.authorWATANABE, A. M.pt_BR
dc.contributor.authorSPERANÇA, M. A.pt_BR
dc.contributor.authorNICOLODELLI, G.pt_BR
dc.contributor.authorVILLAS-BOAS, P. R.pt_BR
dc.contributor.authorOLIVEIRA, P. P. A.pt_BR
dc.contributor.authorMILORI, D. M. B. P.pt_BR
dc.date.accessioned2014-12-16T11:11:11Zpt_BR
dc.date.available2014-12-16T11:11:11Zpt_BR
dc.date.created2014-12-16pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationAmerican Journal of Analytical Chemistry, v. 5, n. 11, p. 722-729, 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1002715pt_BR
dc.descriptionAdvanced field methods of carbon (C) analysis should now be capable of providing repetitive, sequential measurements for the evaluation of spatial and temporal variation at a scale that was previously unfeasible. Some spectroscopy techniques, such as laser-induced breakdown spectroscopy (LIBS), have portable features that may potentially lead to clean and rapid alternative approaches for this purpose. The goal of this study was to quantify the C content of soils with different textures and with high iron and aluminum concentrations using LIBS. LIBS emission spectra from soil pellets were captured, and the C content was estimated (emission line of C (I) at 193.03 nm) after spectral offset and aluminum spectral interference correction. This technique is highly portable and could be ideal for providing the soil C content in a heterogeneous experiment. Dry combustion was used as a reference method, and for calibration a conventional linear model was evaluated based on soil textural classes. The correlation between reference and LIBS values showed r = 0.86 for medium-textured soils and r = 0.93 for fine-textured soils. The data showed that better correlation and lower error (14%) values were found for the fine-textured LIBS model. The limit of detection (LOD) was found to be 0.32% for medium-textured soils and 0.13% for finetextured soils. The results indicated that LIBS quantification can be affected by the texture and chemical composition of soil. Signal treatment was shown to be very important for mitigation of these interferences and to improve quantification.eng
dc.language.isoengpt_BR
dc.rightsopenAccesspt_BR
dc.subjectSoil C Contentpt_BR
dc.subjectSpectral Correctionpt_BR
dc.subjectSoil Textural Classespt_BR
dc.subjectField-Based Methodpt_BR
dc.subjectAtomic Emissionpt_BR
dc.titlePhysical and chemical matrix effects in soil carbon quantification using laser-induced breakdown spectroscopy.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-03-01T11:11:11Zpt_BR
riaa.ainfo.id1002715pt_BR
riaa.ainfo.lastupdate2016-03-01pt_BR
dc.identifier.doi10.4236/ajac.2014.511080eng
dc.contributor.institutionALINE SEGNINIpt_BR
dc.contributor.institutionALFREDO AUGUSTO PEREIRA XAVIER, IQSC-USP/SÃO CARLOS,SPeng
dc.contributor.institutionPEDRO LUIS OTAVIANI JÚNIOReng
dc.contributor.institutionEDILENE CRISTINA FERREIRA, UNESP/ARARAQUARAeng
dc.contributor.institutionALEX MARCEL WATANABEeng
dc.contributor.institutionMARCO AURÉLIO SPERANÇA, ESTAGIÁRIO CPPSE/SÃO CARLOSeng
dc.contributor.institutionGUSTAVO NICOLODELLIeng
dc.contributor.institutionPAULINO RIBEIRO VILLAS-BOASeng
dc.contributor.institutionPATRICIA PERONDI ANCHAO OLIVEIRA, CPPSEeng
dc.contributor.institutionDEBORA MARCONDES BASTOS PEREIRA, CNPDIA.eng
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