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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
09/12/2015 |
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Data da última atualização: |
26/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANDREAE, M. O.; ACEVEDO, O. C.; ARAUJO, A.; ARTAXO, P.; BARBOSA, C. G. G.; BARBOSA, H. M. J.; BRITO, J.; CARBONE, S.; CHI, X.; CINTRA, B. B. L.; SILVA, N. F. da; DIAS, N. L.; DIAS-JÚNIOR, C. Q.; DITAS, F.; DITZ, R.; GODOI, A. F. L.; GODOI, R. H. M.; HEIMANN, M.; HOFFMANN, T.; KESSELMEIER, J.; KÖNEMANN, T.; KRÜGER, M. L.; LAVRIC, J. V.; MANZI, A. O.; LOPES, A. P.; MARTINS, D. L.; MIKHAILOV, E. F.; MORAN-ZULOAGA, D.; NELSON, B. W.; NÖLSCHER, A. C.; NOGUEIRA, D. S.; PIEDADE, M. T. F.; PÖHLKER, C.; PÖSCHL, U.; QUESADA, C. A.; RIZZO, L. V.; RO, C.-U.; RUCKTESCHLER, N.; SÁ, L. D. A.; SÁ, M. de O.; SALES, C. B.; SANTOS, R. M. N. dos; SATURNO, J.; SCHÖNGART, J.; SÖRGEL, M.; SOUZA, C. M. de; SOUZA, R. A. F. de; SU, H.; TARGHETTA, N.; TÓTA, J.; TREBS, I.; TRUMBORE, S.; EIJCK, A. van; WALTER, D.; WANG, Z.; WEBER, B.; WILLIAMS, J.; WINDERLICH, J.; WITTMANN, F.; WOLFF, S.; YÁÑEZ-SERRANO, A. M. |
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Afiliação: |
M. O. Andreae, Max Planck Institute for Chemistry / University of California; O. C. Acevedo, UFSM; ALESSANDRO CARIOCA DE ARAUJO, CPATU; P. Artaxo, USP; C. G. G. Barbosa, UFPR; H. M. J. Barbosa, USP; J. Brito, USP; S. Carbone, USP; X. Chi, Max Planck Institute for Chemistry; B. B. L. Cintra, INPA; N. F. da Silva, INPA; N. L. Dias, UFPR; C. Q. Dias-Júnior, IFPA/INPA; F. Ditas, Max Planck Institute for Chemistry; R. Ditz, Max Planck Institute for Chemistry; A. F. L. Godoi, UFPR; R. H. M. Godoi, UFPR; M. Heimann, Max Planck Institute for Biogeochemistry; T. Hoffmann, Johannes Gutenberg University; J. Kesselmeier, INPA; T. Könemann, Max Planck Institute for Chemistry; M. L. Krüger, Max Planck Institute for Chemistry; J. V. Lavric, Max Planck Institute for Biogeochemistry; A. O. Manzi, INPA; A. P. Lopes, INPA; D. L. Martins, INPA; E. F. Mikhailov, Max Planck Institute for Chemistry / St. Petersburg State University; D. Moran-Zuloaga, Max Planck Institute for Chemistry; B. W. Nelson, INPA; A. C. Nölscher, Max Planck Institute for Chemistry; D. Santos Nogueira, CENSIPAM / INPE; M. T. F. Piedade, INPA; C. Pöhlker, Max Planck Institute for Chemistry; U. Pöschl, Max Planck Institute for Chemistry; C. A. Quesada, INPA; L. V. Rizzo, USP; C.-U. Ro, Inha University; N. Ruckteschler, Max Planck Institute for Chemistry; L. D. A. Sá, INPE; M. de Oliveira Sá, INPA; C. B. Sales, INPA / CESP/UEA; R. M. N. dos Santos, UEA; J. Saturno, Max Planck Institute for Chemistry; J. Schöngart, Max Planck Institute for Chemistry / INPA; M. Sörgel, Max Planck Institute for Chemistry; C. M. de Souza, INPA / UFAM; R. A. F. de Souza, UEA; H. Su, Max Planck Institute for Chemistry; N. Targhetta, INPA; J. Tóta, UEA / UFOPA; I. Trebs, Max Planck Institute for Chemistry / ERIN; S. Trumbore, Max Planck Institute for Biogeochemistry; A. van Eijck, Johannes Gutenberg University; D. Walter, Max Planck Institute for Chemistry; Z. Wang, Max Planck Institute for Chemistry; B. Weber, Max Planck Institute for Chemistry; J. Williams, Max Planck Institute for Chemistry; J. Winderlich, Max Planck Institute for Chemistry / Max Planck Institute for Biogeochemistry; F. Wittmann, Max Planck Institute for Chemistry; S. Wolff, Max Planck Institute for Chemistry / INPA; A. M. Yáñez-Serrano, Max Planck Institute for Chemistry / INPA. |
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Título: |
The Amazon Tall Tower Observatory (ATTO): overview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Atmospheric Chemistry and Physics, v. 15, n. 18, p. 10723-10776, 2015. |
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DOI: |
10.5194/acp-15-10723-2015 |
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Idioma: |
Inglês |
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Conteúdo: |
The Amazon Basin plays key roles in the carbon and water cycles, climate change, atmospheric chemistry, and biodiversity. It has already been changed significantly by human activities, and more pervasive change is expected to occur in the coming decades. It is therefore essential to establish long-term measurement sites that provide a baseline record of present-day climatic, biogeochemical, and atmospheric conditions and that will be operated over coming decades to monitor change in the Amazon region, as human perturbations increase in the future. |
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Palavras-Chave: |
Monitoramento. |
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Thesagro: |
Clima. |
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Thesaurus Nal: |
Amazonia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/135257/1/Carioca-ACP.pdf
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Marc: |
LEADER 02921naa a2200889 a 4500
001 2031153
005 2022-05-26
008 2015 bl uuuu u00u1 u #d
024 7 $a10.5194/acp-15-10723-2015$2DOI
100 1 $aANDREAE, M. O.
245 $aThe Amazon Tall Tower Observatory (ATTO)$boverview of pilot measurements on ecosystem ecology, meteorology, trace gases, and aerosols.$h[electronic resource]
260 $c2015
520 $aThe Amazon Basin plays key roles in the carbon and water cycles, climate change, atmospheric chemistry, and biodiversity. It has already been changed significantly by human activities, and more pervasive change is expected to occur in the coming decades. It is therefore essential to establish long-term measurement sites that provide a baseline record of present-day climatic, biogeochemical, and atmospheric conditions and that will be operated over coming decades to monitor change in the Amazon region, as human perturbations increase in the future.
650 $aAmazonia
650 $aClima
653 $aMonitoramento
700 1 $aACEVEDO, O. C.
700 1 $aARAUJO, A.
700 1 $aARTAXO, P.
700 1 $aBARBOSA, C. G. G.
700 1 $aBARBOSA, H. M. J.
700 1 $aBRITO, J.
700 1 $aCARBONE, S.
700 1 $aCHI, X.
700 1 $aCINTRA, B. B. L.
700 1 $aSILVA, N. F. da
700 1 $aDIAS, N. L.
700 1 $aDIAS-JÚNIOR, C. Q.
700 1 $aDITAS, F.
700 1 $aDITZ, R.
700 1 $aGODOI, A. F. L.
700 1 $aGODOI, R. H. M.
700 1 $aHEIMANN, M.
700 1 $aHOFFMANN, T.
700 1 $aKESSELMEIER, J.
700 1 $aKÖNEMANN, T.
700 1 $aKRÜGER, M. L.
700 1 $aLAVRIC, J. V.
700 1 $aMANZI, A. O.
700 1 $aLOPES, A. P.
700 1 $aMARTINS, D. L.
700 1 $aMIKHAILOV, E. F.
700 1 $aMORAN-ZULOAGA, D.
700 1 $aNELSON, B. W.
700 1 $aNÖLSCHER, A. C.
700 1 $aNOGUEIRA, D. S.
700 1 $aPIEDADE, M. T. F.
700 1 $aPÖHLKER, C.
700 1 $aPÖSCHL, U.
700 1 $aQUESADA, C. A.
700 1 $aRIZZO, L. V.
700 1 $aRO, C.-U.
700 1 $aRUCKTESCHLER, N.
700 1 $aSÁ, L. D. A.
700 1 $aSÁ, M. de O.
700 1 $aSALES, C. B.
700 1 $aSANTOS, R. M. N. dos
700 1 $aSATURNO, J.
700 1 $aSCHÖNGART, J.
700 1 $aSÖRGEL, M.
700 1 $aSOUZA, C. M. de
700 1 $aSOUZA, R. A. F. de
700 1 $aSU, H.
700 1 $aTARGHETTA, N.
700 1 $aTÓTA, J.
700 1 $aTREBS, I.
700 1 $aTRUMBORE, S.
700 1 $aEIJCK, A. van
700 1 $aWALTER, D.
700 1 $aWANG, Z.
700 1 $aWEBER, B.
700 1 $aWILLIAMS, J.
700 1 $aWINDERLICH, J.
700 1 $aWITTMANN, F.
700 1 $aWOLFF, S.
700 1 $aYÁÑEZ-SERRANO, A. M.
773 $tAtmospheric Chemistry and Physics$gv. 15, n. 18, p. 10723-10776, 2015.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
18/01/2017 |
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Data da última atualização: |
17/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MALEGORI, C.; MARQUES, E. J. N.; FREITAS, S. T. de; PIMENTEL, M. F.; PASQUINI, C.; CASIRAGHI, E. |
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Afiliação: |
CRISTINA MALEGORI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; EMANUEL JOSÉ NASCIMENTO MARQUES, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; MARIA FERNANDA PIMENTEL, UFPE; CELIO PASQUINI, Institute of Chemistry, University of Campinas, Campinas (SP); ERNESTINA CASIRAGHI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy. |
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Título: |
Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Talanta, v. 165, 112-116, 2017. |
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DOI: |
10.1016/j.talanta.2016.12.035 |
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Idioma: |
Inglês |
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Conteúdo: |
The main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits. MenosThe main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of... Mostrar Tudo |
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Palavras-Chave: |
Máquinas vector de suporte; MicroNIR; Partial Least Squares (PLS); Passing-Bablok regre; Regressão de Passo-Bablok; Support Vector Machines (SVM). |
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Thesagro: |
Acerola; Acidez; Maturação; Vitamina C. |
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Thesaurus NAL: |
Malpighia emarginata. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02552naa a2200325 a 4500
001 2061108
005 2018-01-17
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1016/j.talanta.2016.12.035$2DOI
100 1 $aMALEGORI, C.
245 $aComparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms.$h[electronic resource]
260 $c2017
520 $aThe main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits.
650 $aMalpighia emarginata
650 $aAcerola
650 $aAcidez
650 $aMaturação
650 $aVitamina C
653 $aMáquinas vector de suporte
653 $aMicroNIR
653 $aPartial Least Squares (PLS)
653 $aPassing-Bablok regre
653 $aRegressão de Passo-Bablok
653 $aSupport Vector Machines (SVM)
700 1 $aMARQUES, E. J. N.
700 1 $aFREITAS, S. T. de
700 1 $aPIMENTEL, M. F.
700 1 $aPASQUINI, C.
700 1 $aCASIRAGHI, E.
773 $tTalanta$gv. 165, 112-116, 2017.
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