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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
03/12/2020 |
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Data da última atualização: |
03/12/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, A. B. S.; HIGUERA, J. M.; BRAZ, C. E. M.; MACHADO, R. C.; NOGUEIRA, A. R. de A. |
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Afiliação: |
Ana Beatriz S. Silva, UFSCAR; Julymar M. Higuera, UFSCAR; CARLOS EDUARDO M. BRAZ, UFSCAR; RAQUEL CARDOSO MACHADO, UFSCAR; ANA RITA DE ARAUJO NOGUEIRA, CPPSE. |
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Título: |
Evaluation of different nebulizers performance on microwave-induced plasma optical emission spectrometry. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Spectrochimica Acta Part B, v. 168, p. 1614-1620, 105867, jun. 2020. |
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DOI: |
https://doi.org/10.1016/j.sab.2020.105867 |
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Idioma: |
Inglês |
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Conteúdo: |
The choice of an adequate nebulizer reflects directly in the accuracy, especially when a complex matrix is analyzed in plasma techniques. To unveil the effects on fundamental parameters and analytical performance of a microwave-induced plasma optical emission spectrometry, four commercial nebulizers, Concentric, Mira Mist, OneNeb series 1, and OneNeb series 2, were evaluated. Estimated fundamental plasma parameters, excitation temperature (T), and the number of electron density (ne) indicated that the Mira Mist nebulizer afforded a plasma with the highest T and ne, but the lowest solvent transport efficiency. OneNeb series 2 showed the lowest T and ne, nonetheless the highest solvent transport efficiency. The precision was estimated in the middle of nitric acid (1% v v-1), sulfuric acid (1% v v-1), easily ionizable elements (100 mg L-1 of Ba, K, and Na), ethanol (1% v v-1), and carbon content (1000 mg L-1). The OneNeb series 2 presented the lowest RSD and LOD values in all matrices, while the concentric presented the highest RSD. The accuracy was evaluated by certified reference materials and addition and recovery experiments performed in sugarcane spirit. Considering the sensitivity improvement, solvent transport efficiency and analytical precision the OneNeb series 2 achieved superior performance. |
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Palavras-Chave: |
Concentric; Crossflow; Enhanced parallel path; Optical emission spectrometry; Pneumatic nebulizer. |
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Categoria do assunto: |
W Química e Física |
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Marc: |
LEADER 02110naa a2200241 a 4500
001 2127529
005 2020-12-03
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.sab.2020.105867$2DOI
100 1 $aSILVA, A. B. S.
245 $aEvaluation of different nebulizers performance on microwave-induced plasma optical emission spectrometry.$h[electronic resource]
260 $c2020
520 $aThe choice of an adequate nebulizer reflects directly in the accuracy, especially when a complex matrix is analyzed in plasma techniques. To unveil the effects on fundamental parameters and analytical performance of a microwave-induced plasma optical emission spectrometry, four commercial nebulizers, Concentric, Mira Mist, OneNeb series 1, and OneNeb series 2, were evaluated. Estimated fundamental plasma parameters, excitation temperature (T), and the number of electron density (ne) indicated that the Mira Mist nebulizer afforded a plasma with the highest T and ne, but the lowest solvent transport efficiency. OneNeb series 2 showed the lowest T and ne, nonetheless the highest solvent transport efficiency. The precision was estimated in the middle of nitric acid (1% v v-1), sulfuric acid (1% v v-1), easily ionizable elements (100 mg L-1 of Ba, K, and Na), ethanol (1% v v-1), and carbon content (1000 mg L-1). The OneNeb series 2 presented the lowest RSD and LOD values in all matrices, while the concentric presented the highest RSD. The accuracy was evaluated by certified reference materials and addition and recovery experiments performed in sugarcane spirit. Considering the sensitivity improvement, solvent transport efficiency and analytical precision the OneNeb series 2 achieved superior performance.
653 $aConcentric
653 $aCrossflow
653 $aEnhanced parallel path
653 $aOptical emission spectrometry
653 $aPneumatic nebulizer
700 1 $aHIGUERA, J. M.
700 1 $aBRAZ, C. E. M.
700 1 $aMACHADO, R. C.
700 1 $aNOGUEIRA, A. R. de A.
773 $tSpectrochimica Acta Part B$gv. 168, p. 1614-1620, 105867, jun. 2020.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Clima Temperado. Para informações adicionais entre em contato com cpact.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
05/12/2023 |
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Data da última atualização: |
05/12/2023 |
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Autoria: |
DÍAZ, S.; KATTGE, J.; CORNELISSEN, J. H. C.; WRIGHT, I. J.; LAVOREL, S.; DRAY, S.; REU, B.; KLEYER, M.; WIRTH, C.; PRENTICE, I. C.; GARNIER, E.; BÖNISCH, G.; WESTOBY, M.; POORTER, H.; REICH, P. B.; MOLES, A. T.; DICKIE, J.; ZANNE, A. E.; CHAVE, J.; WRIGHT, S. J.; SHEREMETIEV, S. N.; JACTEL, H.; BARALOTO, C.; CERABOLINI, B. E. L.; PIERCE, S.; SHIPLEY, B.; CASANOVES, F.; JOSWIG, J. S.; GÜNTHER, A.; FALCZUK, V.; RÜGER, N.; MAHECHA, M. D.; GORNÉ, L. D.; AMIAUD, B.; ATKIN, O. K.; BAHN, M.; BALDOCCHI, D.; BECKMANN, M.; BLONDER, B.; BOND, W.; BOND-LAMBERTY, B.; BROWN, K.; BURRASCANO, S.; BYUN, C.; CAMPETELLA, G.; CAVENDER-BARES, J.; CHAPIN, F. S.; CHOAT, B.; COOMES, D. A.; CORNWELL, W. K.; CRAINE, J.; CRAVEN, D.; DAINESE, M.; ARAUJO, A. C. de; VRIES, F. T. de; DOMINGUES, T. F.; ENQUIST, B. J.; FAGÚNDEZ, J.; FANG, J.; FERNÁNDEZ-MÉNDEZ, F.; FERNANDEZ-PIEDADE, M. T.; FORD, H.; FOREY, E.; FRESCHET, G. T.; GACHET, S.; GALLAGHER, R.; GREEN, W.; GUERIN, G. R.; GUTIÉRREZ, A. G.; HARRISON, S. P.; HATTINGH, W. N.; HE, T.; HICKLER, T.; HIGGINS, S. I.; HIGUCHI, P.; ILIC, J.; JACKSON, R. B.; JALILI, A.; JANSEN, S.; KOIKE, F.; KÖNIG, C.; KRAFT, N.; KRAMER, K.; KREFT, H.; KÜHN, I.; KUROKAWA, H.; LAMB, E. G.; LAUGHLIN, D. C.; LEISHMAN, M.; LEWIS, S.; LOUAULT, F.; MALHADO, A. C. M.; MANNING, P.; MEIR, P.; MENCUCCINI, M.; MESSIER, J.; MILLER, R.; MINDEN, V.; MOLOFSKY, J.; MONTGOMERY, R.; MONTSERRAT-MARTÍ, G.; MORETTI, M.; MÜLLER, S.; NIINEMETS, Ü.; OGAYA, R.; ÖLLERER, K.; ONIPCHENKO, V.; ONODA, Y.; OZINGA, W. A.; PAUSAS, J. G.; PECO, B.; PENUELAS, J.; PILLAR, V. D.; PLADEVALL, C.; RÖMERMANN, C.; SACK, L.; SALINAS, N.; SANDEL, B.; SARDANS, J.; SCHAMP, B.; SCHERER-LORENZEN, M.; SCHULZE, E.; SCHWEINGRUBER, F.; SHIODERA, S.; SOSINSKI JUNIOR, E. E.; SOUDZILOVSKAIA, N.; SPASOJEVIC, M. J.; SWAINE, E.; SWENSON, N.; TAUTENHAHN, S.; THOMPSON, K.; TOTTE, A.; URRUTIA-JALABERT, R.; VALLADARES, F.; BODEGOM, P. V.; VASSEUR, F.; VERHEYEN, K.; VILE, D.; VIOLLE, C.; HOLLE, B. V.; WEIGELT, P.; WEIHER, E.; WIEMANN, M. C.; WILLIAMS, M.; WRIGHT, J.; ZOTZ, G. |
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Afiliação: |
SANDRA DÍAZ; JENS KATTGE; JOHANNES H. C. CORNELISSEN; IAN J. WRIGHT; SANDRA LAVOREL; STÉPHANE DRAY; BJÖRN REU; MICHAEL KLEYER; CHRISTIAN WIRTH; I. COLIN PRENTICE; ERIC GARNIER; GERHARD BÖNISCH; MARK WESTOBY; HENDRIK POORTER; PETER B. REICH; ANGELA T. MOLES; JOHN DICKIE; AMY E. ZANNE; JÉRÔME CHAVE; S. JOSEPH WRIGHT; SERGE N. SHEREMETIEV; HERVÉ JACTEL; CHRISTOPHER BARALOTO; BRUNO E. L. CERABOLINI; SIMON PIERCE; BILL SHIPLEY; FERNANDO CASANOVES; JULIA S. JOSWIG; ANGELA GÜNTHER; VALERIA FALCZUK; NADJA RÜGER; MIGUEL D. MAHECHA; LUCAS D. GORNÉ; BERNARD AMIAUD; OWEN K. ATKIN; MICHAEL BAHN; DENNIS BALDOCCHI; MICHAEL BECKMANN; BENJAMIN BLONDER; WILLIAM BOND; BEN BOND-LAMBERTY; KERRY BROWN; SABINA BURRASCANO; CHAEHO BYUN; GIANDIEGO CAMPETELLA; JEANNINE CAVENDER-BARES; F. STUART CHAPIN; BRENDAN CHOAT; DAVID ANTHONY COOMES; WILLIAM K. CORNWELL; JOSEPH CRAINE; DYLAN CRAVEN; MATTEO DAINESE; ALESSANDRO CARIOCA DE ARAUJO; FRANCISKA T. DE VRIES; TOMAS FERREIRA DOMINGUES; BRIAN J. ENQUIST; JAIME FAGÚNDEZ; JINGYUN FANG; FERNANDO FERNÁNDEZ-MÉNDEZ; MARIA T. FERNANDEZ-PIEDADE; HENRY FORD; ESTELLE FOREY; GREGOIRE T. FRESCHET; SOPHIE GACHET; RACHAEL GALLAGHER; WALTON GREEN; GREG R. GUERIN; ALVARO G. GUTIÉRREZ; SANDY P. HARRISON; WESLEY NEIL HATTINGH; TIANHUA HE; THOMAS HICKLER; STEVEN I. HIGGINS; PEDRO HIGUCHI; JUGO ILIC; ROBERT B. JACKSON; ADEL JALILI; STEVEN JANSEN; FUMITO KOIKE; CHRISTIAN KÖNIG; NATHAN KRAFT; KOEN KRAMER; HOLGER KREFT; INGOLF KÜHN; HIROKO KUROKAWA; ERIC G. LAMB; DANIEL C. LAUGHLIN; MICHELLE LEISHMAN; SIMON LEWIS; FRÉDÉRIQUE LOUAULT; ANA C. M. MALHADO; PETER MANNING; PATRICK MEIR; MAURIZIO MENCUCCINI; JULIE MESSIER; REGIS MILLER; VANESSA MINDEN; JANE MOLOFSKY; REBECCA MONTGOMERY; GABRIEL MONTSERRAT-MARTÍ; MARCO MORETTI; SANDRA MÜLLER; ÜLO NIINEMETS; ROMÀ OGAYA; KINGA ÖLLERER; VLADIMIR ONIPCHENKO; YUSUKE ONODA; WIM A. OZINGA; JULI G. PAUSAS; BEGOÑA PECO; JOSEP PENUELAS; VALÉRIO D. PILLAR; CLARA PLADEVALL; CHRISTINE RÖMERMANN; LAWREN SACK; NORMA SALINAS; BRODY SANDEL; JORDI SARDANS; BRANDON SCHAMP; MICHAEL SCHERER-LORENZEN; ERNST-DETLEF SCHULZE; FRITZ SCHWEINGRUBER; SATOMI SHIODERA; ENIO EGON SOSINSKI JUNIOR, CPACT; NADEJDA SOUDZILOVSKAIA; MARKO J. SPASOJEVIC; EMILY SWAINE; NATHAN SWENSON; SUSANNE TAUTENHAHN; KEN THOMPSON; ALEXIA TOTTE; ROCÍO URRUTIA-JALABERT; FERNANDO VALLADARES; PETER VAN BODEGOM; FRANÇOIS VASSEUR; KRIS VERHEYEN; DENIS VILE; CYRILLE VIOLLE; BETSY VON HOLLE; PATRICK WEIGELT; EVAN WEIHER; MICHAEL C. WIEMANN; MATHEW WILLIAMS; JUSTIN WRIGHT; GERHARD ZOTZ. |
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Título: |
The global spectrum of plant form and function: enhanced species-level trait dataset. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientific Data, v. 9, n. 1, 755, 2022. |
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Páginas: |
18 p. |
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ISSN: |
2052-4463 |
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DOI: |
https://doi.org/10.1038/s41597-022-01774-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date. |
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Palavras-Chave: |
Computer Science Applications; Library and Information Sciences; Statistics and Probability. |
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Thesagro: |
Estatística. |
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Thesaurus NAL: |
education; information systems. |
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Categoria do assunto: |
-- |
|
Marc: |
LEADER 06107naa a2201969 a 4500
001 2159184
005 2023-12-05
008 2022 bl uuuu u00u1 u #d
022 $a2052-4463
024 7 $ahttps://doi.org/10.1038/s41597-022-01774-9$2DOI
100 1 $aDÍAZ, S.
245 $aThe global spectrum of plant form and function$benhanced species-level trait dataset.$h[electronic resource]
260 $c2022
300 $a18 p.
520 $aHere we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
650 $aeducation
650 $ainformation systems
650 $aEstatística
653 $aComputer Science Applications
653 $aLibrary and Information Sciences
653 $aStatistics and Probability
700 1 $aKATTGE, J.
700 1 $aCORNELISSEN, J. H. C.
700 1 $aWRIGHT, I. J.
700 1 $aLAVOREL, S.
700 1 $aDRAY, S.
700 1 $aREU, B.
700 1 $aKLEYER, M.
700 1 $aWIRTH, C.
700 1 $aPRENTICE, I. C.
700 1 $aGARNIER, E.
700 1 $aBÖNISCH, G.
700 1 $aWESTOBY, M.
700 1 $aPOORTER, H.
700 1 $aREICH, P. B.
700 1 $aMOLES, A. T.
700 1 $aDICKIE, J.
700 1 $aZANNE, A. E.
700 1 $aCHAVE, J.
700 1 $aWRIGHT, S. J.
700 1 $aSHEREMETIEV, S. N.
700 1 $aJACTEL, H.
700 1 $aBARALOTO, C.
700 1 $aCERABOLINI, B. E. L.
700 1 $aPIERCE, S.
700 1 $aSHIPLEY, B.
700 1 $aCASANOVES, F.
700 1 $aJOSWIG, J. S.
700 1 $aGÜNTHER, A.
700 1 $aFALCZUK, V.
700 1 $aRÜGER, N.
700 1 $aMAHECHA, M. D.
700 1 $aGORNÉ, L. D.
700 1 $aAMIAUD, B.
700 1 $aATKIN, O. K.
700 1 $aBAHN, M.
700 1 $aBALDOCCHI, D.
700 1 $aBECKMANN, M.
700 1 $aBLONDER, B.
700 1 $aBOND, W.
700 1 $aBOND-LAMBERTY, B.
700 1 $aBROWN, K.
700 1 $aBURRASCANO, S.
700 1 $aBYUN, C.
700 1 $aCAMPETELLA, G.
700 1 $aCAVENDER-BARES, J.
700 1 $aCHAPIN, F. S.
700 1 $aCHOAT, B.
700 1 $aCOOMES, D. A.
700 1 $aCORNWELL, W. K.
700 1 $aCRAINE, J.
700 1 $aCRAVEN, D.
700 1 $aDAINESE, M.
700 1 $aARAUJO, A. C. de
700 1 $aVRIES, F. T. de
700 1 $aDOMINGUES, T. F.
700 1 $aENQUIST, B. J.
700 1 $aFAGÚNDEZ, J.
700 1 $aFANG, J.
700 1 $aFERNÁNDEZ-MÉNDEZ, F.
700 1 $aFERNANDEZ-PIEDADE, M. T.
700 1 $aFORD, H.
700 1 $aFOREY, E.
700 1 $aFRESCHET, G. T.
700 1 $aGACHET, S.
700 1 $aGALLAGHER, R.
700 1 $aGREEN, W.
700 1 $aGUERIN, G. R.
700 1 $aGUTIÉRREZ, A. G.
700 1 $aHARRISON, S. P.
700 1 $aHATTINGH, W. N.
700 1 $aHE, T.
700 1 $aHICKLER, T.
700 1 $aHIGGINS, S. I.
700 1 $aHIGUCHI, P.
700 1 $aILIC, J.
700 1 $aJACKSON, R. B.
700 1 $aJALILI, A.
700 1 $aJANSEN, S.
700 1 $aKOIKE, F.
700 1 $aKÖNIG, C.
700 1 $aKRAFT, N.
700 1 $aKRAMER, K.
700 1 $aKREFT, H.
700 1 $aKÜHN, I.
700 1 $aKUROKAWA, H.
700 1 $aLAMB, E. G.
700 1 $aLAUGHLIN, D. C.
700 1 $aLEISHMAN, M.
700 1 $aLEWIS, S.
700 1 $aLOUAULT, F.
700 1 $aMALHADO, A. C. M.
700 1 $aMANNING, P.
700 1 $aMEIR, P.
700 1 $aMENCUCCINI, M.
700 1 $aMESSIER, J.
700 1 $aMILLER, R.
700 1 $aMINDEN, V.
700 1 $aMOLOFSKY, J.
700 1 $aMONTGOMERY, R.
700 1 $aMONTSERRAT-MARTÍ, G.
700 1 $aMORETTI, M.
700 1 $aMÜLLER, S.
700 1 $aNIINEMETS, Ü.
700 1 $aOGAYA, R.
700 1 $aÖLLERER, K.
700 1 $aONIPCHENKO, V.
700 1 $aONODA, Y.
700 1 $aOZINGA, W. A.
700 1 $aPAUSAS, J. G.
700 1 $aPECO, B.
700 1 $aPENUELAS, J.
700 1 $aPILLAR, V. D.
700 1 $aPLADEVALL, C.
700 1 $aRÖMERMANN, C.
700 1 $aSACK, L.
700 1 $aSALINAS, N.
700 1 $aSANDEL, B.
700 1 $aSARDANS, J.
700 1 $aSCHAMP, B.
700 1 $aSCHERER-LORENZEN, M.
700 1 $aSCHULZE, E.
700 1 $aSCHWEINGRUBER, F.
700 1 $aSHIODERA, S.
700 1 $aSOSINSKI JUNIOR, E. E.
700 1 $aSOUDZILOVSKAIA, N.
700 1 $aSPASOJEVIC, M. J.
700 1 $aSWAINE, E.
700 1 $aSWENSON, N.
700 1 $aTAUTENHAHN, S.
700 1 $aTHOMPSON, K.
700 1 $aTOTTE, A.
700 1 $aURRUTIA-JALABERT, R.
700 1 $aVALLADARES, F.
700 1 $aBODEGOM, P. V.
700 1 $aVASSEUR, F.
700 1 $aVERHEYEN, K.
700 1 $aVILE, D.
700 1 $aVIOLLE, C.
700 1 $aHOLLE, B. V.
700 1 $aWEIGELT, P.
700 1 $aWEIHER, E.
700 1 $aWIEMANN, M. C.
700 1 $aWILLIAMS, M.
700 1 $aWRIGHT, J.
700 1 $aZOTZ, G.
773 $tScientific Data$gv. 9, n. 1, 755, 2022.
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