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| Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria Tropical. Para informações adicionais entre em contato com cnpat.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Agroindústria Tropical. |
Data corrente: |
17/04/2017 |
Data da última atualização: |
21/05/2020 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
FANCELLI, M.; MILANEZ, J. M.; MESQUITA, A. L. M.; DA COSTA, A. C. F. |
Afiliação: |
MARILENE FANCELLI, CNPMF; JOSE MARIA MILANEZ, Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina, Estação Experimental de Itajaí, Itajaí, SC; ANTONIO LINDEMBERG MARTINS MESQUITA, CNPAT; ANTONIO CLAUDIO FERREIRA DA COSTA, Empresa de Pesquisa Agropecuária de Minas Gerais, Belo Horizonte, MG, Brasil. |
Título: |
Artrópodes: praga e controle. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: FERREIRA, C. F.; SILVA, S. de O. e; AMORIM, E. P.; SANTOS-SEREJO, J. A. dos. (Ed.). O agronegócio da banana. Brasília, DF: Embrapa, 2016. |
Páginas: |
p. 597-644 |
Idioma: |
Português |
Notas: |
Cap. 18. |
Thesagro: |
Cadeia Produtiva; Economia Agrícola; Musa sp. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00647naa a2200205 a 4500 001 2068543 005 2020-05-21 008 2016 bl uuuu u00u1 u #d 100 1 $aFANCELLI, M. 245 $aArtrópodes$bpraga e controle.$h[electronic resource] 260 $c2016 300 $ap. 597-644 500 $aCap. 18. 650 $aCadeia Produtiva 650 $aEconomia Agrícola 650 $aMusa sp 700 1 $aMILANEZ, J. M. 700 1 $aMESQUITA, A. L. M. 700 1 $aDA COSTA, A. C. F. 773 $tIn: FERREIRA, C. F.; SILVA, S. de O. e; AMORIM, E. P.; SANTOS-SEREJO, J. A. dos. (Ed.). O agronegócio da banana. Brasília, DF: Embrapa, 2016.
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Embrapa Agroindústria Tropical (CNPAT) |
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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: |
09/10/2020 |
Data da última atualização: |
09/10/2020 |
Tipo da produção científica: |
Nota Técnica/Nota Científica |
Autoria: |
ÁVILA, S.; LAZZAROTTO, M.; HORNUNG, P. S.; TEIXEIRA, G. L.; ITO, V. C.; BELLETTINI, M. B.; BEUX, M. R.; BETA, T.; RIBAN, R. H. |
Afiliação: |
Suelen Ávila, UFPR; MARCELO LAZZAROTTO, CNPF; Polyanna Silveira Hornung, UFPR; Gerson Lopes Teixeira, UFSC; Vivian Cristina Ito, UEPG; Marcelo Barba Bellettini, UFPR; Márcia Regina Beux, UFPR; Trust Beta, University of Manitoba; Rosemary Hoffmann Riban, UFPR. |
Título: |
Influence of stingless bee genus (Scaptotrigona and Melipona) on the mineral content, physicochemical and microbiological properties of honey. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Journal of Food Science and Technology, v. 56, n. 10, p. 4742-4748, Oct. 2019. |
DOI: |
https://doi.org/10.1007/s13197-019-03939-8 |
Idioma: |
Inglês |
Notas: |
Sort communication. |
Conteúdo: |
Stingless bees, important pollinating insects in the tropics, produce honey whose unique quality features differentiate their origin. The feasibility of multivariate data analysis for quality discrimination of stingless bee honey from different genera (Melipona bicolor, quadrifasciata, marginata and Scaptotrigona bipunctata) by mineral content, physicochemical and microbiological properties were investigated. The principal component analysis explained 72.12% of the total variance of the data, and the separation into two main groups in a scatter plot was observed. Group 2 was formed by Scaptotrigona genus, that showed the highest values of pH, ash, and soluble solids. Potassium was the most abundant mineral followed by calcium and sodium for both groups quantified by inductively coupled plasma optical emission spectrometry. This honey has higher acidity and moisture than Apis mellifera honey. Microbiological analyses showed that total aerobic mesophiles ranged between 2.00 and 4.77 log CFU/g. Salmonella spp. was not detected, while the mould and yeast content was above the maximum allowed under the Apis mellifera honey legislation. The evaluated honey samples presented the lactic acid bacteria, which are considered a benefit. The multivariate statistical analysis was efficient in discriminate stingless bee honey, contributing to approaches that can be used for standardization and regulation. |
Palavras-Chave: |
Abeha sem ferrão; Hierarchical cluster analysis. |
Thesagro: |
Mel. |
Thesaurus NAL: |
Chemometrics; Honey; Melipona; Principal component analysis; Scaptotrigona. |
Categoria do assunto: |
Q Alimentos e Nutrição Humana |
Marc: |
LEADER 02465naa a2200337 a 4500 001 2125396 005 2020-10-09 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1007/s13197-019-03939-8$2DOI 100 1 $aÁVILA, S. 245 $aInfluence of stingless bee genus (Scaptotrigona and Melipona) on the mineral content, physicochemical and microbiological properties of honey.$h[electronic resource] 260 $c2019 500 $aSort communication. 520 $aStingless bees, important pollinating insects in the tropics, produce honey whose unique quality features differentiate their origin. The feasibility of multivariate data analysis for quality discrimination of stingless bee honey from different genera (Melipona bicolor, quadrifasciata, marginata and Scaptotrigona bipunctata) by mineral content, physicochemical and microbiological properties were investigated. The principal component analysis explained 72.12% of the total variance of the data, and the separation into two main groups in a scatter plot was observed. Group 2 was formed by Scaptotrigona genus, that showed the highest values of pH, ash, and soluble solids. Potassium was the most abundant mineral followed by calcium and sodium for both groups quantified by inductively coupled plasma optical emission spectrometry. This honey has higher acidity and moisture than Apis mellifera honey. Microbiological analyses showed that total aerobic mesophiles ranged between 2.00 and 4.77 log CFU/g. Salmonella spp. was not detected, while the mould and yeast content was above the maximum allowed under the Apis mellifera honey legislation. The evaluated honey samples presented the lactic acid bacteria, which are considered a benefit. The multivariate statistical analysis was efficient in discriminate stingless bee honey, contributing to approaches that can be used for standardization and regulation. 650 $aChemometrics 650 $aHoney 650 $aMelipona 650 $aPrincipal component analysis 650 $aScaptotrigona 650 $aMel 653 $aAbeha sem ferrão 653 $aHierarchical cluster analysis 700 1 $aLAZZAROTTO, M. 700 1 $aHORNUNG, P. S. 700 1 $aTEIXEIRA, G. L. 700 1 $aITO, V. C. 700 1 $aBELLETTINI, M. B. 700 1 $aBEUX, M. R. 700 1 $aBETA, T. 700 1 $aRIBAN, R. H. 773 $tJournal of Food Science and Technology$gv. 56, n. 10, p. 4742-4748, Oct. 2019.
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