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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
14/01/2019 |
Data da última atualização: |
14/01/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ÁVILA, S.; HORNUNG, P. S.; TEIXEIRA, G. L.; BEUX, M. R.; LAZZAROTTO, M.; RIBANI, R. H. |
Afiliação: |
Suelen Ávila, UFPR; Polyanna Silveira Hornung, UFPR; Gerson Lopes Teixeira, UFPR; Márcia Regina Beux, UFPR; MARCELO LAZZAROTTO, CNPF; Rosemary Hoffmann Ribani, UFPR. |
Título: |
A chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Journal of Near Infrared Spectroscopy, v. 26, n. 6, p. 379-388, Dec. 2018. |
DOI: |
10.1177/0967033518805254 |
Idioma: |
Inglês |
Conteúdo: |
Honey is a product that is often adulterated by the addition of water. Stingless bee honey naturally has a higher moisture content than that produced by the traditional Apis mellifera. In most countries, there is a lack of quality standards and methods to characterise and assure the authenticity of stingless bee honey, which demands for the development of fast methods to assess its main properties, avoiding potential fraud. Thus, this work aimed to develop a non-destructive moisture determination method for stingless bee honey based on diffuse reflectance near infrared spectroscopy combined with chemometrics. Thirty-two honey samples from four stingless bee species (Melipona quadrifasciata, Melipona marginata, Melipona bicolor and Scaptotrigona bipuncata) were used to develop calibration models using partial least squares regression analyses. Results revealed intense absorption bands in C-H, O-H and C-O vibrations in the spectra of stingless bee honey. The calibration model was used to predict the moisture content in honey from an external group. The prediction of the honey's moisture showed good correlation (r2 = 0.93) with the refraction index method and an average error of 2.14%. The statistics variables for the calibration (R2 = 0.947, SEP = 1.005 and RPD = 4.3) revealed that this model can be used to predict the moisture from stingless bee honey and that near infrared spectroscopy is a reliable tool to be applied in quality control with rapid, simple and accurate results. MenosHoney is a product that is often adulterated by the addition of water. Stingless bee honey naturally has a higher moisture content than that produced by the traditional Apis mellifera. In most countries, there is a lack of quality standards and methods to characterise and assure the authenticity of stingless bee honey, which demands for the development of fast methods to assess its main properties, avoiding potential fraud. Thus, this work aimed to develop a non-destructive moisture determination method for stingless bee honey based on diffuse reflectance near infrared spectroscopy combined with chemometrics. Thirty-two honey samples from four stingless bee species (Melipona quadrifasciata, Melipona marginata, Melipona bicolor and Scaptotrigona bipuncata) were used to develop calibration models using partial least squares regression analyses. Results revealed intense absorption bands in C-H, O-H and C-O vibrations in the spectra of stingless bee honey. The calibration model was used to predict the moisture content in honey from an external group. The prediction of the honey's moisture showed good correlation (r2 = 0.93) with the refraction index method and an average error of 2.14%. The statistics variables for the calibration (R2 = 0.947, SEP = 1.005 and RPD = 4.3) revealed that this model can be used to predict the moisture from stingless bee honey and that near infrared spectroscopy is a reliable tool to be applied in quality control with rapid, simple and accurate result... Mostrar Tudo |
Palavras-Chave: |
Controle de umidade; Meliponini; Moisture; Multivariate calibration; Partial least square regression. |
Thesagro: |
Mel. |
Thesaurus Nal: |
Quality control. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02346naa a2200277 a 4500 001 2103811 005 2019-01-14 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1177/0967033518805254$2DOI 100 1 $aÁVILA, S. 245 $aA chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy.$h[electronic resource] 260 $c2018 520 $aHoney is a product that is often adulterated by the addition of water. Stingless bee honey naturally has a higher moisture content than that produced by the traditional Apis mellifera. In most countries, there is a lack of quality standards and methods to characterise and assure the authenticity of stingless bee honey, which demands for the development of fast methods to assess its main properties, avoiding potential fraud. Thus, this work aimed to develop a non-destructive moisture determination method for stingless bee honey based on diffuse reflectance near infrared spectroscopy combined with chemometrics. Thirty-two honey samples from four stingless bee species (Melipona quadrifasciata, Melipona marginata, Melipona bicolor and Scaptotrigona bipuncata) were used to develop calibration models using partial least squares regression analyses. Results revealed intense absorption bands in C-H, O-H and C-O vibrations in the spectra of stingless bee honey. The calibration model was used to predict the moisture content in honey from an external group. The prediction of the honey's moisture showed good correlation (r2 = 0.93) with the refraction index method and an average error of 2.14%. The statistics variables for the calibration (R2 = 0.947, SEP = 1.005 and RPD = 4.3) revealed that this model can be used to predict the moisture from stingless bee honey and that near infrared spectroscopy is a reliable tool to be applied in quality control with rapid, simple and accurate results. 650 $aQuality control 650 $aMel 653 $aControle de umidade 653 $aMeliponini 653 $aMoisture 653 $aMultivariate calibration 653 $aPartial least square regression 700 1 $aHORNUNG, P. S. 700 1 $aTEIXEIRA, G. L. 700 1 $aBEUX, M. R. 700 1 $aLAZZAROTTO, M. 700 1 $aRIBANI, R. H. 773 $tJournal of Near Infrared Spectroscopy$gv. 26, n. 6, p. 379-388, Dec. 2018.
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Embrapa Florestas (CNPF) |
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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
01/12/2008 |
Data da última atualização: |
03/07/2009 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Nacional - A |
Autoria: |
ASSAD, E. D.; PINTO, H. S.; ZULLO JÚNIOR, J.; MARIN, F. R.; PELLEGRINO, G. Q. |
Afiliação: |
EDUARDO DELGADO ASSAD, CNPTIA; HILTON SILVEIRA PINTO, UNICAMP; JURANDIR ZULLO JÚNIOR, UNICAMP; FABIO RICARDO MARIN, CNPTIA; GIAMPAOLO QUEIROZ PELLEGRINO, CNPTIA. |
Título: |
Mudanças climáticas e a produção de grãos no Brasil: avaliação dos possíveis impactos. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
Revista Plenarium. Brasília, DF, Ano 5, n. 5, p. 96-117, out. 2008. |
Idioma: |
Português |
Conteúdo: |
Este documento analisa, a partir dos recentes relatórios do Painel Intergovernamental de Mudanças Climáticas (IPCC), quais poderão ser, nos próximos anos, os impactos causados pelas mudanças climáticas na agricultura brasileira e as possibilidades deste minimizarem os efeitos e os prejuízos causados por essas mudanças. |
Palavras-Chave: |
Aquecimento global; Grãos; Impactos; IPCC; Mudanças climáticas. |
Thesagro: |
Clima. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01004naa a2200241 a 4500 001 1009533 005 2009-07-03 008 2008 bl uuuu u00u1 u #d 100 1 $aASSAD, E. D. 245 $aMudanças climáticas e a produção de grãos no Brasil$bavaliação dos possíveis impactos. 260 $c2008 520 $aEste documento analisa, a partir dos recentes relatórios do Painel Intergovernamental de Mudanças Climáticas (IPCC), quais poderão ser, nos próximos anos, os impactos causados pelas mudanças climáticas na agricultura brasileira e as possibilidades deste minimizarem os efeitos e os prejuízos causados por essas mudanças. 650 $aClima 653 $aAquecimento global 653 $aGrãos 653 $aImpactos 653 $aIPCC 653 $aMudanças climáticas 700 1 $aPINTO, H. S. 700 1 $aZULLO JÚNIOR, J. 700 1 $aMARIN, F. R. 700 1 $aPELLEGRINO, G. Q. 773 $tRevista Plenarium. Brasília, DF, Ano 5$gn. 5, p. 96-117, out. 2008.
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