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 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
13/05/2020 |
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Data da última atualização: |
22/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARAUJO, T. F.; PEREIRA, T. M.; RAUJO NETO, L. A.; BONATTO, C. C.; SILVA, L. P. |
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Afiliação: |
THALITA FONSECA ARAUJO, UNB; TATIANE MELO PEREIRA, UNB; LUCIO ASSIS ARAUJO NETO, UFPR; CÍNTHIA CAETANO BONATTO, TECSINAPSE; LUCIANO PAULINO DA SILVA, Cenargen. |
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Título: |
Enzymatic browning modulates propelires of silver nanoparticles produced with banana peel extract. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Inorganic and Organometallic Polymers and Materials, v. 30, n. 9, p. 3702-3708, 2020. |
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DOI: |
https://doi.org/10.1007/s10904-020-01510-z |
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Idioma: |
Inglês |
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Palavras-Chave: |
Agricultural residues; Banana peel; Eco-friendly; Green synthesis; Metal nanoparticles. |
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Thesaurus Nal: |
Enzymatic browning. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00811naa a2200241 a 4500
001 2122281
005 2020-11-22
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10904-020-01510-z$2DOI
100 1 $aARAUJO, T. F.
245 $aEnzymatic browning modulates propelires of silver nanoparticles produced with banana peel extract.$h[electronic resource]
260 $c2020
650 $aEnzymatic browning
653 $aAgricultural residues
653 $aBanana peel
653 $aEco-friendly
653 $aGreen synthesis
653 $aMetal nanoparticles
700 1 $aPEREIRA, T. M.
700 1 $aRAUJO NETO, L. A.
700 1 $aBONATTO, C. C.
700 1 $aSILVA, L. P.
773 $tJournal of Inorganic and Organometallic Polymers and Materials$gv. 30, n. 9, p. 3702-3708, 2020.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
04/10/2021 |
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Data da última atualização: |
24/10/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SIQUEIRA, K. B.; BORGES, C. A. V.; BINOTI, M. L.; PILATI, A. F.; SILVA, P. H. F. da; GUPTA, S.; DREWNOWSKI, A. |
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Afiliação: |
KENNYA BEATRIZ SIQUEIRA, CNPGL; CRISTIANO AMANCIO VIEIRA BORGES, CNPGL; MIRELLA L. BINOTI, Universidade Federal de Viçosa; AMANDA F. PILATI, Universidade Federal de Juiz de Fora; PAULO H. F. DA SILVA, Unversidade Federal de Juiz de Fora; SHILPI GUPTA, University of Washington; ADAM DREWNOWSKI, University of Washington. |
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Título: |
Nutrient density and affordability of foods in Brazil by food group and degree of processing. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Public Health Nutrition, v. 24, n. 14, p. 4564-4571, 2021. |
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DOI: |
https://doi.org/10.1017/S1368980020004358. |
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Idioma: |
Inglês |
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Conteúdo: |
Objective: Affordable nutrition refers to the relation between nutrient density of foods and their monetary cost. There are limited data on affordable nutrition in low- and middle-income countries. The present study aimed to develop a nutrient density score and nutrient affordability metrics for 377 most consumed foods in Brazil. Design: The foods were aggregated into seven major food groups and four NOVA food categories. Nutrient composition data were obtained from the Brazilian Institute of Geography and Statistics. Food prices were obtained from retailer websites and were converted to prices per 100 g and 418 kJ. The Nutrient Rich Food (NRF8.2) score was based on protein, fiber, vitamins A, C and E, Ca, Fe and K. Nutrients to limit were sugar and Na. Affordability was measured as kcal/R$ and nutrients/R$. Results: Grains, fats and sweets were more energy dense and had lower NRF8.2 scores than dairy, vegetables and fruits. Grains, fats and sweets were the lowest cost sources of energy. Vegetables and fruits, beans, nuts and seeds and eggs and dairy were the lowest cost sources of multiple nutrients. Ultra-processed foods (48 % of total) had higher energy density and lower NRF8.2 scores than did unprocessed foods. In Brazil, fruits, vegetables and dairy products offered the most nutrients per real. Conclusions: Analysis of the relationship between nutrient density of foods and their cost can help identify locally available foods that are nutrient rich, affordable and culturally acceptable. Achieving high nutrient density at an affordable cost should be the goal of Brazil?s food systems. MenosObjective: Affordable nutrition refers to the relation between nutrient density of foods and their monetary cost. There are limited data on affordable nutrition in low- and middle-income countries. The present study aimed to develop a nutrient density score and nutrient affordability metrics for 377 most consumed foods in Brazil. Design: The foods were aggregated into seven major food groups and four NOVA food categories. Nutrient composition data were obtained from the Brazilian Institute of Geography and Statistics. Food prices were obtained from retailer websites and were converted to prices per 100 g and 418 kJ. The Nutrient Rich Food (NRF8.2) score was based on protein, fiber, vitamins A, C and E, Ca, Fe and K. Nutrients to limit were sugar and Na. Affordability was measured as kcal/R$ and nutrients/R$. Results: Grains, fats and sweets were more energy dense and had lower NRF8.2 scores than dairy, vegetables and fruits. Grains, fats and sweets were the lowest cost sources of energy. Vegetables and fruits, beans, nuts and seeds and eggs and dairy were the lowest cost sources of multiple nutrients. Ultra-processed foods (48 % of total) had higher energy density and lower NRF8.2 scores than did unprocessed foods. In Brazil, fruits, vegetables and dairy products offered the most nutrients per real. Conclusions: Analysis of the relationship between nutrient density of foods and their cost can help identify locally available foods that are nutrient rich, affordable and cultur... Mostrar Tudo |
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Palavras-Chave: |
Acessibilidade; Alimento Ultraprocessado. |
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Thesagro: |
Alimento; Nutriente; Preço. |
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Categoria do assunto: |
Q Alimentos e Nutrição Humana |
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Marc: |
LEADER 02409naa a2200265 a 4500
001 2135018
005 2023-10-24
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/S1368980020004358.$2DOI
100 1 $aSIQUEIRA, K. B.
245 $aNutrient density and affordability of foods in Brazil by food group and degree of processing.$h[electronic resource]
260 $c2021
520 $aObjective: Affordable nutrition refers to the relation between nutrient density of foods and their monetary cost. There are limited data on affordable nutrition in low- and middle-income countries. The present study aimed to develop a nutrient density score and nutrient affordability metrics for 377 most consumed foods in Brazil. Design: The foods were aggregated into seven major food groups and four NOVA food categories. Nutrient composition data were obtained from the Brazilian Institute of Geography and Statistics. Food prices were obtained from retailer websites and were converted to prices per 100 g and 418 kJ. The Nutrient Rich Food (NRF8.2) score was based on protein, fiber, vitamins A, C and E, Ca, Fe and K. Nutrients to limit were sugar and Na. Affordability was measured as kcal/R$ and nutrients/R$. Results: Grains, fats and sweets were more energy dense and had lower NRF8.2 scores than dairy, vegetables and fruits. Grains, fats and sweets were the lowest cost sources of energy. Vegetables and fruits, beans, nuts and seeds and eggs and dairy were the lowest cost sources of multiple nutrients. Ultra-processed foods (48 % of total) had higher energy density and lower NRF8.2 scores than did unprocessed foods. In Brazil, fruits, vegetables and dairy products offered the most nutrients per real. Conclusions: Analysis of the relationship between nutrient density of foods and their cost can help identify locally available foods that are nutrient rich, affordable and culturally acceptable. Achieving high nutrient density at an affordable cost should be the goal of Brazil?s food systems.
650 $aAlimento
650 $aNutriente
650 $aPreço
653 $aAcessibilidade
653 $aAlimento Ultraprocessado
700 1 $aBORGES, C. A. V.
700 1 $aBINOTI, M. L.
700 1 $aPILATI, A. F.
700 1 $aSILVA, P. H. F. da
700 1 $aGUPTA, S.
700 1 $aDREWNOWSKI, A.
773 $tPublic Health Nutrition$gv. 24, n. 14, p. 4564-4571, 2021.
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