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5. | | LIMA, G. G. de; RUIZ, H. Z.; MATOS, M.; HELM, C. V.; LIZ, M. V. de; MAGALHAES, W. L. E. Prediction of yerba mate caffeine content using near infrared spectroscopy. Spectroscopy Letters, v. 52, n. 5, p. 282-287, 2019. Biblioteca(s): Embrapa Florestas. |
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6. | | BENEDITO, D. C. D.; STUEPP, C. A.; HELM, C. V.; LIZ, M. V. de; MIRANDA, A. C. de; IMOSKI, R.; LAVORANTI, O. J.; WENDLING, I. Bioactive compounds concentrations and stability in leaves of Ilex paraguariensis genotypes. Forests, v. 14, n. 12, p. 1-18, 2023. Biblioteca(s): Embrapa Florestas. |
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7. | | RAKOCEVIC, M.; MAIA, A. de H. N.; LIZ, M. V. de; IMOSKI, R.; HELM, C. V.; CARDOZO JUNIOR, E. L.; WENDLING, I. Stability of leaf yerba mate (Ilex paraguariensis) metabolite concentrations over the time from the prism of secondary Sexual dimorphism. Plants, v. 12, n. 11, article 2199, 2023. Biblioteca(s): Embrapa Florestas; Embrapa Meio Ambiente. |
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Registros recuperados : 7 | |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
19/07/2019 |
Data da última atualização: |
10/03/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
LIMA, G. G. de; RUIZ, H. Z.; MATOS, M.; HELM, C. V.; LIZ, M. V. de; MAGALHAES, W. L. E. |
Afiliação: |
GABRIEL GOETTEN DE LIMA, Pós doutorando da UFPR; HENRIQUE ZAVATTIERI RUIZ, UTFPR; MAILSON MATOS, Doutorando da UFPR; CRISTIANE VIEIRA HELM, CNPF; MARCUS VINICIUS DE LIZ, UTFPR; WASHINGTON LUIZ ESTEVES MAGALHAES, CNPF. |
Título: |
Prediction of yerba mate caffeine content using near infrared spectroscopy. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Spectroscopy Letters, v. 52, n. 5, p. 282-287, 2019. |
DOI: |
10.1080/00387010.2019.1622567 |
Idioma: |
Inglês |
Conteúdo: |
There is a commercial and beneficial interest of producing yerba mate leaves into different grades of caffeine. This work uses a handheld and bench near-infrared (NIR) spectroscopy to compare and predict, using partial least squares (PLS) regression, the amount of caffeine in yerba mate leaves. Standards of pure caffeine were compared, using high-performance liquid chromatography (HPLC), with extracts of yerba mate. The bench spectroscopy gave a strong confidence model of caffeine prediction, whereas the handheld related to a fair model. For first detection and initial separation of yerba mate in the field, the modeling proposed can be used to predict caffeine intensity. |
Palavras-Chave: |
x. |
Categoria do assunto: |
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Marc: |
LEADER 01271naa a2200205 a 4500 001 2110767 005 2021-03-10 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1080/00387010.2019.1622567$2DOI 100 1 $aLIMA, G. G. de 245 $aPrediction of yerba mate caffeine content using near infrared spectroscopy.$h[electronic resource] 260 $c2019 520 $aThere is a commercial and beneficial interest of producing yerba mate leaves into different grades of caffeine. This work uses a handheld and bench near-infrared (NIR) spectroscopy to compare and predict, using partial least squares (PLS) regression, the amount of caffeine in yerba mate leaves. Standards of pure caffeine were compared, using high-performance liquid chromatography (HPLC), with extracts of yerba mate. The bench spectroscopy gave a strong confidence model of caffeine prediction, whereas the handheld related to a fair model. For first detection and initial separation of yerba mate in the field, the modeling proposed can be used to predict caffeine intensity. 653 $ax 700 1 $aRUIZ, H. Z. 700 1 $aMATOS, M. 700 1 $aHELM, C. V. 700 1 $aLIZ, M. V. de 700 1 $aMAGALHAES, W. L. E. 773 $tSpectroscopy Letters$gv. 52, n. 5, p. 282-287, 2019.
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