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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
01/04/2026 |
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Data da última atualização: |
02/04/2026 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ALMEIDA, A. G. de; PAULI, E. D.; TORMENA, C. D.; WENDLING, I.; RAKOCEVIC, M.; BRUNS, R. E.; SCARMINIO, I. S.; MARCHEAFAVE, G. G. |
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Afiliação: |
ANDRESSA GOMES DE ALMEIDA, UNIVERSIDADE DE LONDRINA; ELIS DAIANE PAULI, UNIVERSIDADE DE LONDRINA; CLÁUDIA DOMICIANO TORMENA, UNIVERSIDADE DE LONDRINA; IVAR WENDLING, CNPF; MIROSLAVA RAKOCEVIC; ROY EDWARD BRUNS, UNIVERSIDADE DE CAMPINAS; IEDA SPACINO SCARMINIO, UNIVERSIDADE DE LONDRINA; GUSTAVO GALO MARCHEAFAVE, UNIVERSIDADE DE CAMPINAS. |
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Título: |
Portable NIR spectroscopy-chemometric identification of chemically differentiated yerba mate (Ilex paraguariensis) clones. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Food Analytical Methods, v. 16, n. 3, 2022. |
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ISSN: |
1936-9751 |
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DOI: |
https://doi.org/10.1007/s12161-022-02431-y |
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Idioma: |
Inglês |
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Conteúdo: |
Yerba mate plants are part of the ombrophilous mixed forest with araucaria trees. Genetically improved yerba mate clones are classified into two groups of interest to a selective consumer public, decaffeinated and high caffeine plants. Quality control strategies for this type of food are essential, and multivariate tools can help in this procedure. Partial least squaresdiscriminant analysis (PLS-DA) was used to identify chemically differentiated yerba mate plants together with reflectance measurement (900–1700 nm) near-infrared spectroscopy (NIRS) in direct analysis of plant material. Yerba mate plants were cultivated in the semi-hydroponic system under five plant shading levels (0%, 40%, 51%, 76%, and 82%). Robustness of the mathematical model was verified for plants with all these shading levels. The PLS-DA model showed a sensitivity of 96.52% for the training set and 93.33% for the test set. Specificity greater than 97.12% was found for both sets, with an efficiency rate of 96.82% for the training set and 95.31% for the test set. Wilcoxon signed classification, sign classification in pairs, and randomization t-tests showed an excellent model fit. Principal component analysis of the NIR spectra demonstrated that shading affected the chemical composition more in high-caffeine clones than in decaffeinated ones. This indicates that the caffeine synthesis in yerba mate plants represents an adaptative strategy to elevated light conditions. |
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Palavras-Chave: |
Análise de Componentes Principais; Análise discriminante; Erva mate. |
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Thesagro: |
Cafeína; Composição Química; Espectrometria; Ilex Paraguariensis; Melhoramento Genético Vegetal. |
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Thesaurus Nal: |
Caffeine; Discriminant analysis; Genetic improvement; Near-infrared spectroscopy; Principal component analysis; Yerba mate. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02691naa a2200397 a 4500
001 2186013
005 2026-04-02
008 2022 bl uuuu u00u1 u #d
022 $a1936-9751
024 7 $ahttps://doi.org/10.1007/s12161-022-02431-y$2DOI
100 1 $aALMEIDA, A. G. de
245 $aPortable NIR spectroscopy-chemometric identification of chemically differentiated yerba mate (Ilex paraguariensis) clones.$h[electronic resource]
260 $c2022
520 $aYerba mate plants are part of the ombrophilous mixed forest with araucaria trees. Genetically improved yerba mate clones are classified into two groups of interest to a selective consumer public, decaffeinated and high caffeine plants. Quality control strategies for this type of food are essential, and multivariate tools can help in this procedure. Partial least squaresdiscriminant analysis (PLS-DA) was used to identify chemically differentiated yerba mate plants together with reflectance measurement (900–1700 nm) near-infrared spectroscopy (NIRS) in direct analysis of plant material. Yerba mate plants were cultivated in the semi-hydroponic system under five plant shading levels (0%, 40%, 51%, 76%, and 82%). Robustness of the mathematical model was verified for plants with all these shading levels. The PLS-DA model showed a sensitivity of 96.52% for the training set and 93.33% for the test set. Specificity greater than 97.12% was found for both sets, with an efficiency rate of 96.82% for the training set and 95.31% for the test set. Wilcoxon signed classification, sign classification in pairs, and randomization t-tests showed an excellent model fit. Principal component analysis of the NIR spectra demonstrated that shading affected the chemical composition more in high-caffeine clones than in decaffeinated ones. This indicates that the caffeine synthesis in yerba mate plants represents an adaptative strategy to elevated light conditions.
650 $aCaffeine
650 $aDiscriminant analysis
650 $aGenetic improvement
650 $aNear-infrared spectroscopy
650 $aPrincipal component analysis
650 $aYerba mate
650 $aCafeína
650 $aComposição Química
650 $aEspectrometria
650 $aIlex Paraguariensis
650 $aMelhoramento Genético Vegetal
653 $aAnálise de Componentes Principais
653 $aAnálise discriminante
653 $aErva mate
700 1 $aPAULI, E. D.
700 1 $aTORMENA, C. D.
700 1 $aWENDLING, I.
700 1 $aRAKOCEVIC, M.
700 1 $aBRUNS, R. E.
700 1 $aSCARMINIO, I. S.
700 1 $aMARCHEAFAVE, G. G.
773 $tFood Analytical Methods$gv. 16, n. 3, 2022.
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Registro original: |
Embrapa Florestas (CNPF) |
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