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Registro Completo |
Biblioteca(s): |
Embrapa Agrobiologia. |
Data corrente: |
13/11/2017 |
Data da última atualização: |
16/11/2017 |
Autoria: |
SILVA, M. E. R.; VAZ, B. G.; VASCONCELOS, J. A.; ROMÃO, W.; CALDANA, C.; ABDELNUR, P. V. |
Afiliação: |
MARIA ESTHER RICCI SILVA, BOLSISTA EMBRAPA AGROENERGIA; BONIEK CONTIJO VAZ, UFG; JESSICA ADRIANA VASCONCELOS, UFG; WANDERSON ROMÃO, UFES; CAMILA CALDANA, CTBE, CAMPINAS; PATRICIA VERARDI ABDELNUR, CNPAE. |
Título: |
Mass spectrometry for metabolomics and biomass composition analyses. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: VAZ JÚNIOR, S. Analytical techniques and methods for biomass. London: Springer, 2017. |
Páginas: |
p. 115-141 |
ISBN: |
978-3-319-41414-0 |
DOI: |
10.1007/978-3-319-41414-0 |
Idioma: |
Inglês |
Conteúdo: |
Mass spectrometry (MS) is a versatile technique used to analyze a broad range of compounds originated from different species with high accuracy, resolution, sensibility, selectivity, and fast scan speed. MS has been widely used in various areas, from theoretical chemistry studies to the discovery of disease biomarkers. In this chapter, we will focus on the use of MS in bioenergy, describing new developed technologies that can perform a full metabolite characterization of a biological system. The chapter is presented in three topics: (1) Mass spectrometry; (2) Mass spectrometry-based metabolomics; and (3) Mass spectrometry for biomass composition analyses. The first topic (Section 1), is about the fundamentals of MS, including some advanced applications in instrumentation that greatly contribute to chemical compound identification and characterization. The next two other topics describe the applications of MS in two important areas related to metabolite characterization that are used in the bioenergy scenario. A general description of metabolomics principles and approaches, such as targeted and untargeted analyses, was discussed, including some applications in the system biology (Section 2). Finally, an overview of agricultural biomass composition for biofuel and chemicals production, based on MS approaches, is presented in Section 3. |
Palavras-Chave: |
Biomass characterization; Metabolite characterization; Metabolomics assisted; Metabolomics for bioenergy. |
Thesaurus Nal: |
synthetic biology. |
Categoria do assunto: |
S Ciências Biológicas |
Marc: |
LEADER 02219naa a2200277 a 4500 001 2079615 005 2017-11-16 008 2017 bl --- 0-- u #d 020 $a978-3-319-41414-0 024 7 $a10.1007/978-3-319-41414-0$2DOI 100 1 $aSILVA, M. E. R. 245 $aMass spectrometry for metabolomics and biomass composition analyses.$h[electronic resource] 260 $c2017 300 $ap. 115-141 520 $aMass spectrometry (MS) is a versatile technique used to analyze a broad range of compounds originated from different species with high accuracy, resolution, sensibility, selectivity, and fast scan speed. MS has been widely used in various areas, from theoretical chemistry studies to the discovery of disease biomarkers. In this chapter, we will focus on the use of MS in bioenergy, describing new developed technologies that can perform a full metabolite characterization of a biological system. The chapter is presented in three topics: (1) Mass spectrometry; (2) Mass spectrometry-based metabolomics; and (3) Mass spectrometry for biomass composition analyses. The first topic (Section 1), is about the fundamentals of MS, including some advanced applications in instrumentation that greatly contribute to chemical compound identification and characterization. The next two other topics describe the applications of MS in two important areas related to metabolite characterization that are used in the bioenergy scenario. A general description of metabolomics principles and approaches, such as targeted and untargeted analyses, was discussed, including some applications in the system biology (Section 2). Finally, an overview of agricultural biomass composition for biofuel and chemicals production, based on MS approaches, is presented in Section 3. 650 $asynthetic biology 653 $aBiomass characterization 653 $aMetabolite characterization 653 $aMetabolomics assisted 653 $aMetabolomics for bioenergy 700 1 $aVAZ, B. G. 700 1 $aVASCONCELOS, J. A. 700 1 $aROMÃO, W. 700 1 $aCALDANA, C. 700 1 $aABDELNUR, P. V. 773 $tIn: VAZ JÚNIOR, S. Analytical techniques and methods for biomass. London: Springer, 2017.
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Embrapa Agrobiologia (CNPAB) |
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Registros recuperados : 8 | |
2. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SANTOS, C. A. C. dos; SILVA, B. B. da; RAO, T. V. R.; NEALE, C. M. U. Energy balance measurements over a banana orchard in the Semiarid region in the Northeast of Brazil. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 11, p. 1365-1373, nov. 2009. Título em português: Medidas do balanço de energia sobre pomar de bananeira na região Semiárida do Nordeste do Brasil.Biblioteca(s): Embrapa Unidades Centrais. |
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5. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | TEIXEIRA, A. H. de C.; SCHERER-WARREN, M.; LOPES, H. L.; HERNANDEZ, F. B. T.; ANDRADE, R. G.; NEALE, C. M. U. Application of MODIS images for modelling the energy balance components in the semi-arid conditions of Brazil. Remote Sensing for Agriculture, Ecosystems and Hydrology, v. 8887, p. 888719-1-888719-11, 2013.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
Biblioteca(s): Embrapa Territorial. |
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6. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | TEIXEIRA, A. H. de C.; LOPES, H. L.; HERNANDEZ, F. B. T.; SHERER-WARREN, M.; ANDRADE, R. G.; NEALE, C. M. U. Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil. Remote Sensing for Agriculture, Ecosystems and Hydrology, v. 8887, p. 888713-1-888713-8, 2013.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 2 |
Biblioteca(s): Embrapa Territorial. |
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7. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | FERREIRA, T. R.; MAGUIRE, M. S.; SILVA, B. B. da; NEALE, C. M. U.; SERRÃO, E. A. O.; FERREIRA, J. D.; MOURA, M. S. B. de; SANTOS, C. A. C. dos; SILVA, M. T.; RODRIGUES, L. N.; CARVALHO, H. F. S. Assessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing: a study in the Brazilian Semiarid region. Agricultural Water Management, v. 281, 108260, 2023.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Cerrados; Embrapa Semiárido. |
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8. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | FERREIRA, T. R.; MAGUIRE, M. S.; SILVA, B. B. da; NEALE, C. M. U.; SERRÃO, E. A. O.; FERREIRAM J. D.; MOURA, M. S. B. de; SANTOS, C. A. C. dos; SILVA, M. T.; RODRIGUES, L. N.; CARVALHO, H. F. S. Assessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing: a study in the Brazilian Semiarid region. Agricultural Water Management, v. 281, 108260, 2023.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Cerrados. |
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