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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
25/05/2021 |
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Data da última atualização: |
11/02/2026 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MELO, T. O.; FRANCISCON, L.; BROWN, G. G.; KOPKA, J.; CUNHA, L.; MARTINEZ-SEIDEL, F.; MADUREIRA, L. A. dos S.; HANSEL, F. A.; TPI Network. |
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Afiliação: |
TAMIRES OLIVEIRA MELO, UniversidadeFederaldoParaná; LUZIANE FRANCISCON, CNPF; GEORGE GARDNER BROWN, CNPF; JOACHIM KOPKA, Max-Planck-Institute of Molecular Plant Physiology; LUIS CUNHA, University of Coimbra; FEDERICO MARTINEZ-SEIDEL, Max-Planck-Institute of Molecular Plant Physiology; LUIZ AUGUSTO DOS SANTOS MADUREIRA, Universidade Federal de Santa Catarina; FABRICIO AUGUSTO HANSEL, CNPF. |
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Título: |
Univariate statistical analysis of gaschromatography: mass spectrometry fingerprints analyses. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Chemical Date Collections, v. 33, Id 100719, 2021. |
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DOI: |
https://doi.org/10.1016/j.cdc.2021.100719 |
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Idioma: |
Inglês |
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Notas: |
Date article. |
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Conteúdo: |
Gas Chromatography - Mass Spectrometry (GC–MS) has been used for a long time in fingerprint analysis. We present a workflow of univariate statistical treatment of compound by considering their type of response variables. Two data sources were used: (i) comparative data from two Brazilian Amazon soils, and (ii) the Nitrogen-dose response experiment involving two Ilex paraguariensis clones. During type of response variables selection, the following assumptions were tested: normality and homogeneity of variances. After defining a strategy to select the type of response variables, the compounds were classified according to the statistical test that must be used to evaluate them: analysis of variance (ANOVA, LM), generalized linear model (GLM), and a non-parametric (NP) test. The developed workflow allows individual compound and class comparisons, and a couple examples that illustrate a wider range of similar datasets are open to the readers to test either their own data or ours. |
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Palavras-Chave: |
Biogeoquímica; Biological markers; Marcadores biológicos; Química analítica. |
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Thesagro: |
Fisiologia Vegetal. |
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Thesaurus Nal: |
Analytical chemistry; Biogeochemistry; Plant physiology. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
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001 2132007
005 2026-02-11
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.cdc.2021.100719$2DOI
100 1 $aMELO, T. O.
245 $aUnivariate statistical analysis of gaschromatography$bmass spectrometry fingerprints analyses.$h[electronic resource]
260 $c2021
500 $aDate article.
520 $aGas Chromatography - Mass Spectrometry (GC–MS) has been used for a long time in fingerprint analysis. We present a workflow of univariate statistical treatment of compound by considering their type of response variables. Two data sources were used: (i) comparative data from two Brazilian Amazon soils, and (ii) the Nitrogen-dose response experiment involving two Ilex paraguariensis clones. During type of response variables selection, the following assumptions were tested: normality and homogeneity of variances. After defining a strategy to select the type of response variables, the compounds were classified according to the statistical test that must be used to evaluate them: analysis of variance (ANOVA, LM), generalized linear model (GLM), and a non-parametric (NP) test. The developed workflow allows individual compound and class comparisons, and a couple examples that illustrate a wider range of similar datasets are open to the readers to test either their own data or ours.
650 $aAnalytical chemistry
650 $aBiogeochemistry
650 $aPlant physiology
650 $aFisiologia Vegetal
653 $aBiogeoquímica
653 $aBiological markers
653 $aMarcadores biológicos
653 $aQuímica analítica
700 1 $aFRANCISCON, L.
700 1 $aBROWN, G. G.
700 1 $aKOPKA, J.
700 1 $aCUNHA, L.
700 1 $aMARTINEZ-SEIDEL, F.
700 1 $aMADUREIRA, L. A. dos S.
700 1 $aHANSEL, F. A.
700 1 $aTPI Network
773 $tChemical Date Collections$gv. 33, Id 100719, 2021.
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Registro original: |
Embrapa Florestas (CNPF) |
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